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ORCIDLiang Wang 0001
王亮
Person information
- unicode name: 王亮
- affiliation: Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent Perception and Computing, Beijing, China
- affiliation: University of Chinese Academy of Sciences, School of Artificial Intelligence, Beijing, China
- affiliation (since 2010): Chinese Academy of Sciences, Institute of Automation, National Lab of Pattern Recognition, Beijing, China
- affiliation (2009 - 2010): University of Bath, Department of Computer Science, Bath, UK
- affiliation (2007 - 2009): University of Melbourne, Australia
- affiliation (2005 - 2007): Monash University, Australia
- affiliation (2004 - 2005): Imperial College London, UK
- affiliation (PhD 2004): Chinese Academy of Sciences, Institute of Automation, National Laboratory of Pattern Recognition, Beijing, China
Other persons with the same name
- Liang Wang — disambiguation page
- Liang Wang 0002 — Baidu Intelligent Driving Group, Beijing, China (and 2 more)
- Liang Wang 0003 — University of New South Wales, Australia
- Liang Wang 0004 — Harbin Institute of Technology, School of Computer Science and Technology, VILab, Harbin, China
- Liang Wang 0005 — Huazhong University of Science and Technology, Department of Control Science & Engineering, Wuhan, China
- Liang Wang 0006
![[0000-0001-5444-748X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-5444-748X")
— Nanjing University, State Key Laboratory for Novel Software Technology, China - Liang Wang 0007 (aka: Liang Vincent Wang) — DTS Singapore Technology Center, Singapore (and 1 more)
- Liang Wang 0008 — Harbin Institute of Technology, School of Management, HIT-UMKC Institute for Innovation and Entrepreneurship, Harbin, China
- Liang Wang 0009 — University of Cambridge, UK (and 1 more)
- Liang Wang 0010 — Hebei University, School of Computer Science and Technology, Baoding, China
- Liang Wang 0011 — University of Hawaii Manoa, HI, USA
- Liang Wang 0012 — North University of China, School of Instrument and Electronics, Taiyuan, China
- Liang Wang 0013 — Ningbo University of Technology, School of Electronic and Information Engineering, China
- Liang Wang 0014 — Shaanxi Normal University, School of Computer Science, Key Laboratory of Modern Teaching Technology, Xi'an, China (and 1 more)
- Liang Wang 0015 — Tencent AI Lab, Shenzhen, China (and 1 more)
- Liang Wang 0016 — University of Hertfordshire, UK
- Liang Wang 0017 — Northwestern Polytechnical University, School of Computer Science, Xi'an, China (and 2 more)
- Liang Wang 0018 — Sun Yat-Sen University, School of Electronics and Communication Engineering, Guangzhou, China (and 2 more)
- Liang Wang 0019 — Yunnan Normal University, School of Mathematics, Kunming, China (and 2 more)
- Liang Wang 0020 — Beihang University, School of Computer Science and Engineering, Beijing, China (and 2 more)
- Liang Wang 0021 — Beijing University of Technology, Faculty of Information Technology, Beijing Key Laboratory of Computational Intelligence and Intelligent System, Beijing, China (and 2 more)
- Liang Wang 0022 — Fuzhou University, Decision Sciences Institute, China (and 1 more)
- Liang Wang 0023 — University of Wisconsin-Madison, Madison, WI, USA
- Liang Wang 0024 — Beijing Microelectronics Technology Institute, China
- Liang Wang 0025 — Princeton University, Department of Astrophysical Sciences, Princeton Plasma Physics Laboratory, Princeton, NJ, USA (and 1 more)
- Liang Wang 0026 — Beihang University, School of Automation Science and Electrical Engineering, Beijing, China
- Liang Wang 0027 — Shanghai University, School of Mechatronics Engineering and Automation, China
- Liang Wang 0028 — Southwest University, College of Engineering and Technology, Chongqing, China
- Liang Wang 0029 — Henan Agricultural University, College of Mechanical and Electrical Engineering, Zhengzhou, China
- Liang Wang 0030 — Fudan University, Department of Aeronautics and Astronautics, Shanghai, China
- Liang Wang 0031 — Southwest Petroleum University, School of Geoscience and Technology, Chengdu, China
- Liang Wang 0032 — Northwestern Polytechnical University, Department of Applied Mathematics, Xi'an, China (and 1 more)
- Liang Wang 0033 — Ocean University of China, Department of Marine Technology, Qingdao, China
- Liang Wang 0034 — Nanjing University of Science and Technology, School of Science, Nanjing, China
- Liang Wang 0035 — Baoding Vocational and Technical College, Baoding, China
- Liang Wang 0036 — Xingtai People's Hospital, Department of First Aid, Xingtai, China
- Liang Wang 0037 — Wuhan Sixth Hospital, Affiliated Hospital of Jianghan University, Department of Radiology, Wuhan, China
- Liang Wang 0038 — Northumbria University, Department of Computer and Information Science, Newcastle upon Tyne, UK
- Liang Wang 0039 — Chongqing University, State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing, China
- Liang Wang 0040 — Dalian Maritime University, School of Maritime Economics and Management, Dalian, China
- Liang Wang 0041 — Guangzhou University, School of Public Administration, Guangzhou, China
- Liang Wang 0042 — East China Jiaotong University, School of Software, Nanchang, China
- Liang Wang 0043 — Xidian University, School of Artificial Intelligence, Key Laboratory of Intelligent Perception and Image Understanding, Xi'an, China
- Liang Wang 0044 — Harbin Institute of Technology, School of Mechatronics Engineering, State Key Laboratory of Robotics and System, Harbin, China
- Liang Wang 0045 — Chinese Academy of Sciences, Institute of Computing Technology, Key Lab of Intelligent Information Processing, Beijing, China (and 2 more)
- Liang Wang 0046 — Yuanfudao AI Lab, Beijing, China (and 1 more)
- Liang Wang 0047 — Visa Research, Palo Alto, CA, USA (and 1 more)
- Liang Wang 0048 — Huazhong University of Science and Technology, School of Optics and Electronic Information, National Engineering Laboratory for Next Generation Internet Access System, Wuhan, China (and 4 more)
- Liang Wang 0049 — Renmin University of China, School of Information, Beijing, China
- Liang Wang 0050 — Huazhong University of Science and Technology, School of Hydropower & Information Engineering, Wuhan, China
- Liang Wang 0051 — Huazhong University of Science and Technology, Tongji Medical College, Tongji Hospital, Center of Computer, Wuhan, China (and 1 more)
- Liang Wang 0052 — Huazhong University of Science and Technology, Tongji Medical College, Tongji Hospital, Department of Radiology, Wuhan, China
- Liang Wang 0053 — Huazhong University of Science and Technology, School of Electronic Information and Communications, Wuhan, China
- Liang Wang 0054 — Princeton University, NJ, USA (and 1 more)
- Liang Wang 0055 — University of Virginia, Department of Computer Science, Charlottesville, VA, USA
- Liang Wang 0056 — Institute of Automation, Chinese Academy of Sciences, Beijing, China
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2020 – today
- 2024
[j187]Zhen Jia, Zhang Zhang, Liang Wang, Tieniu Tan:
Human Image Generation: A Comprehensive Survey. ACM Comput. Surv. 56(11): 279:1-279:39 (2024)- [j186]Liqing Gao, Wei Feng, Fan Lyu, Liang Wang:
Combinational sign language recognition. Comput. Vis. Image Underst. 241: 103972 (2024) - [j185]Qiyue Yin, Tongtong Yu, Shengqi Shen, Jun Yang, Meijing Zhao, Wancheng Ni, Kaiqi Huang, Bin Liang, Liang Wang:
Distributed Deep Reinforcement Learning: A Survey and a Multi-player Multi-agent Learning Toolbox. Mach. Intell. Res. 21(3): 411-430 (2024) - [j184]Hongying Liu, Zekun Li, Fanhua Shang, Yuanyuan Liu, Liang Wang, Wei Feng, Radu Timofte:
Arbitrary-scale Super-resolution via Deep Learning: A Comprehensive Survey. Inf. Fusion 102: 102015 (2024) - [j183]Shuangqing Zhang, Zhang Zhang, Da Li, Zhen Jia, Chenglong Li, Liang Wang, Hanyu Zhao, Duo Wang:
Class Hierarchy-Guided Generalized Few-Shot Ship Detection in Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j182]Liqing Gao, Wei Feng, Peng Shi, Ruize Han, Di Lin, Liang Wang:
Sign language translation with hierarchical memorized context in question answering scenarios. Neural Comput. Appl. 36(21): 12951-12976 (2024) - [j181]Liqing Gao, Peng Shi, Lianyu Hu, Jichao Feng, Lei Zhu, Liang Wang, Wei Feng:
Cross-modal knowledge distillation for continuous sign language recognition. Neural Networks 179: 106587 (2024) - [j180]Yan Huang, Zhang Zhang, Yan Huang, Qiang Wu, Han Huang, Yi Zhong, Liang Wang:
Customized meta-dataset for automatic classifier accuracy evaluation. Pattern Recognit. 146: 110026 (2024) - [j179]Keji He, Ya Jing, Yan Huang, Zhihe Lu, Dong An, Liang Wang:
Memory-Adaptive Vision-and-Language Navigation. Pattern Recognit. 153: 110511 (2024) - [j178]Yuwei Xia, Mengqi Zhang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang, Liang Wang:
MetaTKG++: Learning evolving factor enhanced meta-knowledge for temporal knowledge graph reasoning. Pattern Recognit. 155: 110629 (2024) - [j177]Kai Niu, Yanyi Liu, Yuzhou Long, Yan Huang, Liang Wang, Yanning Zhang:
An Overview of Text-Based Person Search: Recent Advances and Future Directions. IEEE Trans. Circuits Syst. Video Technol. 34(9): 7803-7819 (2024) - [j176]Ke Han, Yan Huang, Liang Wang, Zikun Liu:
Self-Supervised Recovery and Guide for Low-Resolution Person Re-Identification. IEEE Trans. Inf. Forensics Secur. 19: 6252-6263 (2024) - [j175]Xiaogang Wang, Liang Wang, Hongyu Wu, Guoqiang Xiao, Kai Xu:
Parametric Primitive Analysis of CAD Sketches With Vision Transformer. IEEE Trans. Ind. Informatics 20(10): 12041-12050 (2024) - [j174]Yan Huang, Yan Huang, Zhang Zhang, Qiang Wu, Yi Zhong, Liang Wang:
Enhancing Person Re-Identification Performance Through In Vivo Learning. IEEE Trans. Image Process. 33: 639-654 (2024) - [j173]Kai Niu, Linjiang Huang, Yuzhou Long, Yan Huang, Liang Wang, Yanning Zhang:
Comprehensive Attribute Prediction Learning for Person Search by Language. IEEE Trans. Image Process. 33: 1990-2003 (2024) - [j172]Yan Huang, Qiang Wu, Zhang Zhang, Caifeng Shan, Yan Huang, Yi Zhong, Liang Wang:
Meta Clothing Status Calibration for Long-Term Person Re-Identification. IEEE Trans. Image Process. 33: 2334-2346 (2024) - [j171]Leqi Ding, Lei Liu, Yan Huang, Chenglong Li, Cheng Zhang, Wei Wang, Liang Wang:
Text-to-Image Vehicle Re-Identification: Multi-Scale Multi-View Cross-Modal Alignment Network and a Unified Benchmark. IEEE Trans. Intell. Transp. Syst. 25(7): 7673-7686 (2024) - [j170]Liping Wang, Qiang Liu, Mengqi Zhang, Yaxuan Hu, Shu Wu, Liang Wang:
Stage-Aware Hierarchical Attentive Relational Network for Diagnosis Prediction. IEEE Trans. Knowl. Data Eng. 36(4): 1773-1784 (2024) - [j169]Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang:
Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. 36(11): 5591-5604 (2024) - [j168]Liang Wang, Shu Wu, Qiang Liu, Yanqiao Zhu, Xiang Tao, Mengdi Zhang, Liang Wang:
Bi-Level Graph Structure Learning for Next POI Recommendation. IEEE Trans. Knowl. Data Eng. 36(11): 5695-5708 (2024) - [j167]Qiang Liu, Junfei Wu, Shu Wu, Liang Wang:
Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing. IEEE Trans. Knowl. Data Eng. 36(11): 6801-6813 (2024) - [j166]Andong Lu, Zhang Zhang, Yan Huang, Yifan Zhang, Chenglong Li, Jin Tang, Liang Wang:
Illumination Distillation Framework for Nighttime Person Re-Identification and a New Benchmark. IEEE Trans. Multim. 26: 406-419 (2024) - [j165]Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai:
DyGCN: Efficient Dynamic Graph Embedding With Graph Convolutional Network. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4635-4646 (2024) - [c278]Haisong Gong, Qiang Liu, Shu Wu, Liang Wang:
Text-Guided Molecule Generation with Diffusion Language Model. AAAI 2024: 109-117 - [c277]Liang Dai, Kejie Lyu, Chengcheng Zhang, Guangming Zhao, Zhonglin Zu, Liang Wang, Bo Zheng:
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization. AAAI 2024: 7987-7994 - [c276]Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang:
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. AAAI 2024: 15528-15536 - [c275]Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang:
Stealthy Attack on Large Language Model based Recommendation. ACL (1) 2024: 5839-5857 - [c274]Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan:
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. ACL (Findings) 2024: 6944-6962 - [c273]Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. CIKM 2024: 4273-4277 - [c272]Yunan Zeng, Yan Huang, Jinjin Zhang, Zequn Jie, Zhenhua Chai, Liang Wang:
Investigating Compositional Challenges in Vision-Language Models for Visual Grounding. CVPR 2024: 14141-14151 - [c271]Yan Huang, Zhang Zhang, Qiang Wu, Yi Zhong, Liang Wang:
Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability. CVPR 2024: 17689-17699 - [c270]Lingjun Xu, Haowen Li, Guojie Song, Liang Wang, Bo Zheng:
Laner-GNN: Adapting to Long-Tail Degree Distribution with Latent Neighborhood Restorers. ECAI 2024: 2838-2845 - [c269]Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Tianzhu Zhang, Liang Wang:
Free Lunch for Gait Recognition: A Novel Relation Descriptor. ECCV (38) 2024: 39-56 - [c268]Zewen Chen, Haina Qin, Juan Wang, Chunfeng Yuan, Bing Li, Weiming Hu, Liang Wang:
PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts. ECCV (1) 2024: 247-264 - [c267]Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Interpretable Multimodal Out-of-Context Detection with Soft Logic Regularization. ICASSP 2024: 4740-4744 - [c266]Xiangxin Zhou, Xiwei Cheng, Yuwei Yang, Yu Bao, Liang Wang, Quanquan Gu:
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization. ICLR 2024 - [c265]Xiangxin Zhou, Liang Wang, Yichi Zhou:
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process. ICML 2024 - [c264]Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu:
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers. IJCAI 2024: 5707-5715 - [c263]Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. KDD 2024: 2794-2805 - [c262]Jinghao Zhang, Guofan Liu, Qiang Liu, Shu Wu, Liang Wang:
Modality-Balanced Learning for Multimedia Recommendation. ACM Multimedia 2024: 7551-7560 - [c261]Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu:
CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. SDM 2024: 454-462 - [c260]Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang:
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. WWW 2024: 4150-4159 - [e29]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14425, Springer 2024, ISBN 978-981-99-8428-2 [contents] - [e28]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14426, Springer 2024, ISBN 978-981-99-8431-2 [contents] - [e27]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14427, Springer 2024, ISBN 978-981-99-8434-3 [contents] - [e26]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14428, Springer 2024, ISBN 978-981-99-8461-9 [contents] - [e25]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14429, Springer 2024, ISBN 978-981-99-8468-8 [contents] - [e24]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14430, Springer 2024, ISBN 978-981-99-8536-4 [contents] - [e23]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14431, Springer 2024, ISBN 978-981-99-8539-5 [contents] - [e22]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part VIII. Lecture Notes in Computer Science 14432, Springer 2024, ISBN 978-981-99-8542-5 [contents] - [e21]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part IX. Lecture Notes in Computer Science 14433, Springer 2024, ISBN 978-981-99-8545-6 [contents] - [e20]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part X. Lecture Notes in Computer Science 14434, Springer 2024, ISBN 978-981-99-8548-7 [contents] - [e19]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XI. Lecture Notes in Computer Science 14435, Springer 2024, ISBN 978-981-99-8551-7 [contents] - [e18]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XII. Lecture Notes in Computer Science 14436, Springer 2024, ISBN 978-981-99-8554-8 [contents] - [e17]Qingshan Liu, Hanzi Wang, Zhanyu Ma, Weishi Zheng, Hongbin Zha, Xilin Chen, Liang Wang, Rongrong Ji:
Pattern Recognition and Computer Vision - 6th Chinese Conference, PRCV 2023, Xiamen, China, October 13-15, 2023, Proceedings, Part XIII. Lecture Notes in Computer Science 14437, Springer 2024, ISBN 978-981-99-8557-9 [contents] - [i191]Fan Lyu, Wei Feng, Yuepan Li, Qing Sun, Fanhua Shang, Liang Wan, Liang Wang:
Elastic Multi-Gradient Descent for Parallel Continual Learning. CoRR abs/2401.01054 (2024) - [i190]Qiang Liu, Xiang Tao, Junfei Wu, Shu Wu, Liang Wang:
Can Large Language Models Detect Rumors on Social Media? CoRR abs/2402.03916 (2024) - [i189]Liang Wang, Xiang Tao, Qiang Liu, Shu Wu, Liang Wang:
Rethinking Graph Masked Autoencoders through Alignment and Uniformity. CoRR abs/2402.07225 (2024) - [i188]Fan Lyu, Kaile Du, Yuyang Li, Hanyu Zhao, Zhang Zhang, Guangcan Liu, Liang Wang:
Variational Continual Test-Time Adaptation. CoRR abs/2402.08182 (2024) - [i187]Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan:
Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. CoRR abs/2402.11622 (2024) - [i186]Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, Xiaoyu Zhang:
Enhancing Temporal Knowledge Graph Forecasting with Large Language Models via Chain-of-History Reasoning. CoRR abs/2402.14382 (2024) - [i185]Jinghao Zhang, Yuting Liu, Qiang Liu, Shu Wu, Guibing Guo, Liang Wang:
Stealthy Attack on Large Language Model based Recommendation. CoRR abs/2402.14836 (2024) - [i184]Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. CoRR abs/2403.00037 (2024) - [i183]Xiangxin Zhou, Liang Wang, Yichi Zhou:
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process. CoRR abs/2403.04154 (2024) - [i182]Zewen Chen, Haina Qin, Juan Wang, Chunfeng Yuan, Bing Li, Weiming Hu, Liang Wang:
PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts. CoRR abs/2403.04993 (2024) - [i181]Yi-Fan Zhang, Weichen Yu, Qingsong Wen, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Debiasing Multimodal Large Language Models. CoRR abs/2403.05262 (2024) - [i180]Han Huang, Haitian Zhong, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
KEBench: A Benchmark on Knowledge Editing for Large Vision-Language Models. CoRR abs/2403.07350 (2024) - [i179]Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu:
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. CoRR abs/2403.07902 (2024) - [i178]Xiangxin Zhou, Xiwei Cheng, Yuwei Yang, Yu Bao, Liang Wang, Quanquan Gu:
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization. CoRR abs/2403.13829 (2024) - [i177]Yi Xiao, Xiangxin Zhou, Qiang Liu, Liang Wang:
Bridging Text and Molecule: A Survey on Multimodal Frameworks for Molecule. CoRR abs/2403.13830 (2024) - [i176]Yifan Zhang, Weiqi Chen, Zhaoyang Zhu, Dalin Qin, Liang Sun, Xue Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin:
Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt. CoRR abs/2403.14949 (2024) - [i175]Xiangxin Zhou, Dongyu Xue, Ruizhe Chen, Zaixiang Zheng, Liang Wang, Quanquan Gu:
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization. CoRR abs/2403.16576 (2024) - [i174]Xiang Tao, Mingqing Zhang, Qiang Liu, Shu Wu, Liang Wang:
Out-of-distribution Rumor Detection via Test-Time Adaptation. CoRR abs/2403.17735 (2024) - [i173]Xiang Tao, Liang Wang, Qiang Liu, Shu Wu, Liang Wang:
Semantic Evolvement Enhanced Graph Autoencoder for Rumor Detection. CoRR abs/2404.16076 (2024) - [i172]Wenhao Zhu, Guojie Song, Liang Wang, Shaoguo Liu:
AnchorGT: Efficient and Flexible Attention Architecture for Scalable Graph Transformers. CoRR abs/2405.03481 (2024) - [i171]Fan Lyu, Daofeng Liu, Linglan Zhao, Zhang Zhang, Fanhua Shang, Fuyuan Hu, Wei Feng, Liang Wang:
Overcoming Domain Drift in Online Continual Learning. CoRR abs/2405.09133 (2024) - [i170]Ziqi Shi, Fan Lyu, Ye Liu, Fanhua Shang, Fuyuan Hu, Wei Feng, Zhang Zhang, Liang Wang:
Controllable Continual Test-Time Adaptation. CoRR abs/2405.14602 (2024) - [i169]Jiayao Tan, Fan Lyu, Chenggong Ni, Tingliang Feng, Fuyuan Hu, Zhang Zhang, Shaochuang Zhao, Liang Wang:
Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation. CoRR abs/2406.02609 (2024) - [i168]Huanhuan Ma, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization. CoRR abs/2406.04756 (2024) - [i167]Yi-Fan Zhang, Qingsong Wen, Chaoyou Fu, Xue Wang, Zhang Zhang, Liang Wang, Rong Jin:
Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models. CoRR abs/2406.08487 (2024) - [i166]Xiaogang Wang, Liang Wang, Hongyu Wu, Guoqiang Xiao, Kai Xu:
Parametric Primitive Analysis of CAD Sketches with Vision Transformer. CoRR abs/2407.00410 (2024) - [i165]Chao Fan, Hongyuan Yu, Luo Wang, Yan Huang, Liang Wang, Xibin Jia:
SliceMamba for Medical Image Segmentation. CoRR abs/2407.08481 (2024) - [i164]Haisong Gong, Huanhuan Ma, Qiang Liu, Shu Wu, Liang Wang:
Navigating the Noisy Crowd: Finding Key Information for Claim Verification. CoRR abs/2407.12425 (2024) - [i163]Xin Sun, Liang Wang, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
DIVE: Subgraph Disagreement for Graph Out-of-Distribution Generalization. CoRR abs/2408.04400 (2024) - [i162]Mengqi Zhang, Bowen Fang, Qiang Liu, Pengjie Ren, Shu Wu, Zhumin Chen, Liang Wang:
Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing. CoRR abs/2408.12456 (2024) - [i161]Yi-Fan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? CoRR abs/2408.13257 (2024) - [i160]Peiyan Li, Hongtao Wu, Yan Huang, Chilam Cheang, Liang Wang, Tao Kong:
GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal Conditioned Policy. CoRR abs/2408.14368 (2024) - [i159]Huanyu Zhang, Yi-Fan Zhang, Zhang Zhang, Qingsong Wen, Liang Wang:
LogoRA: Local-Global Representation Alignment for Robust Time Series Classification. CoRR abs/2409.12169 (2024) - 2023
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AI in Human-computer Gaming: Techniques, Challenges and Opportunities. Int. J. Autom. Comput. 20(3): 299-317 (2023) - [j163]Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr:
Deeply Explain CNN Via Hierarchical Decomposition. Int. J. Comput. Vis. 131(5): 1091-1105 (2023) - [j162]Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan:
End-to-End Alternating Optimization for Real-World Blind Super Resolution. Int. J. Comput. Vis. 131(12): 3152-3169 (2023) - [j161]Zhen Jia, Zhang Zhang, Caifeng Shan, Liang Wang, Tieniu Tan:
Dual-focus transfer network for zero-shot learning. Neurocomputing 541: 126264 (2023) - [j160]Chang Zhang, Xiangzhu Meng, Qiang Liu, Shu Wu, Liang Wang, Huansheng Ning:
FedBrain: A robust multi-site brain network analysis framework based on federated learning for brain disease diagnosis. Neurocomputing 559: 126791 (2023) - [j159]Hongyuan Yu, Houwen Peng, Yan Huang, Jianlong Fu, Hao Du, Liang Wang, Haibin Ling:
Cyclic Differentiable Architecture Search. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 211-228 (2023) - [j158]Peng Xu, Timothy M. Hospedales, Qiyue Yin, Yi-Zhe Song, Tao Xiang, Liang Wang:
Deep Learning for Free-Hand Sketch: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 285-312 (2023) - [j157]Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang:
Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1474-1488 (2023) - [j156]Chunfeng Song, Yongzhen Huang, Weining Wang, Liang Wang:
CASIA-E: A Large Comprehensive Dataset for Gait Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2801-2815 (2023) - [j155]Yan Huang, Yuming Wang, Liang Wang:
Efficient Image and Sentence Matching. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2970-2983 (2023) - [j154]Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang:
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2984-3002 (2023) - [j153]Linjiang Huang, Kaixin Lu, Guanglu Song, Liang Wang, Si Liu, Yu Liu, Hongsheng Li:
Teach-DETR: Better Training DETR With Teachers. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15759-15771 (2023) - [j152]Wentao Chen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan:
Few-shot learning with unsupervised part discovery and part-aligned similarity. Pattern Recognit. 133: 108986 (2023) - [j151]Chao Fan, Hongyuan Yu, Yan Huang, Caifeng Shan, Liang Wang, Chenglong Li:
SiamON: Siamese Occlusion-Aware Network for Visual Tracking. IEEE Trans. Circuits Syst. Video Technol. 33(1): 186-199 (2023) - [j150]Shuangqing Zhang, Chenglong Li, Zhen Jia, Lei Liu, Zhang Zhang, Liang Wang:
Diag-IoU Loss for Object Detection. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7671-7683 (2023) - [j149]Da Li, Zhang Zhang, Caifeng Shan, Liang Wang:
Incremental Pedestrian Attribute Recognition via Dual Uncertainty-Aware Pseudo-Labeling. IEEE Trans. Inf. Forensics Secur. 18: 2622-2636 (2023) - [j148]Yang Wang, Yan Huang, Caifeng Shan, Liang Wang:
Progressive Sub-Domain Information Mining for Single-Source Generalizable Gait Recognition. IEEE Trans. Inf. Forensics Secur. 18: 4787-4799 (2023) - [j147]Mengmeng Cui, Wei Wang, Kunbo Zhang, Zhenan Sun, Liang Wang:
Pose-Appearance Relational Modeling for Video Action Recognition. IEEE Trans. Image Process. 32: 295-308 (2023) - [j146]Yi-Fan Zhang, Zhang Zhang, Da Li, Zhen Jia, Liang Wang, Tieniu Tan:
Learning Domain Invariant Representations for Generalizable Person Re-Identification. IEEE Trans. Image Process. 32: 509-523 (2023) - [j145]Kai Niu, Tao Huang, Linjiang Huang, Liang Wang, Yanning Zhang:
Improving Inconspicuous Attributes Modeling for Person Search by Language. IEEE Trans. Image Process. 32: 3429-3441 (2023) - [j144]Chong Liu, Yuqi Zhang, Hongsong Wang, Weihua Chen, Fan Wang, Yan Huang, Yi-Dong Shen, Liang Wang:
Efficient Token-Guided Image-Text Retrieval With Consistent Multimodal Contrastive Training. IEEE Trans. Image Process. 32: 3622-3633 (2023) - [j143]Kun Hu, Shaohui Mei, Wei Wang, Kaylena A. Ehgoetz Martens, Liang Wang, Simon J. G. Lewis, David D. Feng, Zhiyong Wang:
Multi-Level Adversarial Spatio-Temporal Learning for Footstep Pressure Based FoG Detection. IEEE J. Biomed. Health Informatics 27(8): 4166-4177 (2023) - [j142]Mengqi Zhang, Shu Wu, Xueli Yu, Qiang Liu, Liang Wang:
Dynamic Graph Neural Networks for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(5): 4741-4753 (2023) - [j141]Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang:
RMT-Net: Reject-Aware Multi-Task Network for Modeling Missing-Not-At-Random Data in Financial Credit Scoring. IEEE Trans. Knowl. Data Eng. 35(7): 7427-7439 (2023) - [j140]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation. IEEE Trans. Knowl. Data Eng. 35(9): 9154-9167 (2023) - [j139]Wenlong Cheng, Wei Tang, Yan Huang, Yiwen Luo, Liang Wang:
A Reconstruction-Based Visual-Acoustic-Semantic Embedding Method for Speech-Image Retrieval. IEEE Trans. Multim. 25: 4067-4080 (2023) - [c259]Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang:
Counterfactual Debiasing for Fact Verification. ACL (1) 2023: 6777-6789 - [c258]Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang:
Learning Latent Relations for Temporal Knowledge Graph Reasoning. ACL (1) 2023: 12617-12631 - [c257]Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CIKM 2023: 1857-1866 - [c256]Jingqiu Zhou, Linjiang Huang, Liang Wang, Si Liu, Hongsheng Li:
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels. CVPR 2023: 23003-23012 - [c255]Xin Sun, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang:
Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction. EMNLP (Findings) 2023: 13145-13157 - [c254]Shiqi Yu, Chenye Wang, Yuwei Zhao, Li Wang, Ming Wang, Qing Li, Wenlong Li, Runsheng Wang, Yongzhen Huang, Liang Wang, Yasushi Makihara, Md Atiqur Rahman Ahad:
Human Identification at a Distance: Challenges, Methods and Results on HID 2023. IJCB 2023: 1-8 - [c253]Ming-Zhe Li, Zhen Jia, Zhang Zhang, Zhanyu Ma, Liang Wang:
Multi-semantic Fusion Model For Generalized Zero-Shot Skeleton-Based Action Recognition. ICIG (1) 2023: 68-80 - [c252]Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. ICLR 2023 - [c251]Jiaqi Guan, Xiangxin Zhou, Yuwei Yang, Yu Bao, Jian Peng, Jianzhu Ma, Qiang Liu, Liang Wang, Quanquan Gu:
DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design. ICML 2023: 11827-11846 - [c250]Yifan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. ICML 2023: 41647-41676 - [c249]Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han:
Exploring Model Dynamics for Accumulative Poisoning Discovery. ICML 2023: 42983-43004 - [c248]Yi Wu, Yanyang Xu, Wenhao Zhu, Guojie Song, Zhouchen Lin, Liang Wang, Shaoguo Liu:
KDLGT: A Linear Graph Transformer Framework via Kernel Decomposition Approach. IJCAI 2023: 2370-2378 - [c247]Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang:
Hierarchical Transformer for Scalable Graph Learning. IJCAI 2023: 4702-4710 - [c246]Wuyang Mao, Chuanren Liu, Yundu Huang, Zhonglin Zu, M. Harshvardhan, Liang Wang, Bo Zheng:
End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising. KDD 2023: 1677-1686 - [c245]Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng:
Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning. KDD 2023: 2314-2325 - [c244]Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization for Domain Generalization. KDD 2023: 3409-3421 - [c243]Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng:
On Structural Expressive Power of Graph Transformers. KDD 2023: 3628-3637 - [c242]Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng:
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. KDD 2023: 5204-5214 - [c241]Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Liang Wang:
Causal Intervention for Sparse-View Gait Recognition. ACM Multimedia 2023: 77-85 - [c240]Keji He, Chenyang Si, Zhihe Lu, Yan Huang, Liang Wang, Xinchao Wang:
Frequency-Enhanced Data Augmentation for Vision-and-Language Navigation. NeurIPS 2023 - [c239]Zhixun Li, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. NeurIPS 2023 - [c238]Yifan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. NeurIPS 2023 - [c237]Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, LI He, Liang Wang, Bo Zheng, Bo Han:
Combating Bilateral Edge Noise for Robust Link Prediction. NeurIPS 2023 - [c236]Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. SIGIR 2023: 443-452 - [c235]Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. SIGIR 2023: 2032-2036 - [c234]Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng:
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. SIGIR 2023: 3037-3046 - [c233]Xiaojun Ma, Qin Chen, Yi Wu, Guojie Song, Liang Wang, Bo Zheng:
Rethinking Structural Encodings: Adaptive Graph Transformer for Node Classification Task. WWW 2023: 533-544 - [c232]Zixuan Xu, Penghui Wei, Shaoguo Liu, Weimin Zhang, Liang Wang, Bo Zheng:
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. WWW 2023: 983-991 - [c231]Mengqi Zhang, Yuwei Xia, Qiang Liu, Shu Wu, Liang Wang:
Learning Long- and Short-term Representations for Temporal Knowledge Graph Reasoning. WWW 2023: 2412-2422 - [c230]Liang Dai, Zhonglin Zu, Hao Wu, Liang Wang, Bo Zheng:
Fairness-aware Guaranteed Display Advertising Allocation under Traffic Cost Constraint. WWW 2023: 3572-3580 - [i158]Xiaogang Wang, Yuhang Cheng, Liang Wang, Jiangbo Lu, Kai Xu, Guoqiang Xiao:
Edge Preserving Implicit Surface Representation of Point Clouds. CoRR abs/2301.04860 (2023) - [i157]Yifan Zhang, Xue Wang, Jian Liang, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Free Lunch for Domain Adversarial Training: Environment Label Smoothing. CoRR abs/2302.00194 (2023) - [i156]Penghui Wei, Yongqiang Chen, Shaoguo Liu, Liang Wang, Bo Zheng:
RLTP: Reinforcement Learning to Pace for Delayed Impression Modeling in Preloaded Ads. CoRR abs/2302.02592 (2023) - [i155]Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CoRR abs/2302.02636 (2023) - [i154]Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. CoRR abs/2303.05847 (2023) - [i153]Zhengxiong Luo, Dayou Chen, Yingya Zhang, Yan Huang, Liang Wang, Yujun Shen, Deli Zhao, Jingren Zhou, Tieniu Tan:
VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation. CoRR abs/2303.08320 (2023) - [i152]Wentao Chen, Chenyang Si, Zhang Zhang, Liang Wang, Zilei Wang, Tieniu Tan:
Semantic Prompt for Few-Shot Image Recognition. CoRR abs/2303.14123 (2023) - [i151]Dong An, Hanqing Wang, Wenguan Wang, Zun Wang, Yan Huang, Keji He, Liang Wang:
ETPNav: Evolving Topological Planning for Vision-Language Navigation in Continuous Environments. CoRR abs/2304.03047 (2023) - [i150]Qiang Liu, Zhaocheng Liu, Zhenxi Zhu, Shu Wu, Liang Wang:
Deep Stable Multi-Interest Learning for Out-of-distribution Sequential Recommendation. CoRR abs/2304.05615 (2023) - [i149]Jingqiu Zhou, Linjiang Huang, Liang Wang, Si Liu, Hongsheng Li:
Improving Weakly Supervised Temporal Action Localization by Bridging Train-Test Gap in Pseudo Labels. CoRR abs/2304.07978 (2023) - [i148]Yi-Fan Zhang, Xue Wang, Kexin Jin, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
AdaNPC: Exploring Non-Parametric Classifier for Test-Time Adaptation. CoRR abs/2304.12566 (2023) - [i147]Qiang Liu, Junfei Wu, Shu Wu, Liang Wang:
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing. CoRR abs/2304.12888 (2023) - [i146]Wenhao Zhu, Tianyu Wen, Guojie Song, Xiaojun Ma, Liang Wang:
Hierarchical Transformer for Scalable Graph Learning. CoRR abs/2305.02866 (2023) - [i145]Penghui Wei, Hongjian Dou, Shaoguo Liu, Rongjun Tang, Li Liu, Liang Wang, Bo Zheng:
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning. CoRR abs/2305.08328 (2023) - [i144]Wenhao Zhu, Tianyu Wen, Guojie Song, Liang Wang, Bo Zheng:
On Structural Expressive Power of Graph Transformers. CoRR abs/2305.13987 (2023) - [i143]Jianing Zhu, Xiawei Guo, Jiangchao Yao, Chao Du, Li He, Shuo Yuan, Tongliang Liu, Liang Wang, Bo Han:
Exploring Model Dynamics for Accumulative Poisoning Discovery. CoRR abs/2306.03726 (2023) - [i142]Haozhe Wang, Chao Du, Panyan Fang, Li He, Liang Wang, Bo Zheng:
Adversarial Constrained Bidding via Minimax Regret Optimization with Causality-Aware Reinforcement Learning. CoRR abs/2306.07106 (2023) - [i141]Chong Liu, Yuqi Zhang, Hongsong Wang, Weihua Chen, Fan Wang, Yan Huang, Yi-Dong Shen, Liang Wang:
Efficient Token-Guided Image-Text Retrieval with Consistent Multimodal Contrastive Training. CoRR abs/2306.08789 (2023) - [i140]Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Mining Stable Preferences: Adaptive Modality Decorrelation for Multimedia Recommendation. CoRR abs/2306.14179 (2023) - [i139]Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan:
End-to-end Alternating Optimization for Real-World Blind Super Resolution. CoRR abs/2308.08816 (2023) - [i138]Jilong Wang, Saihui Hou, Yan Huang, Chunshui Cao, Xu Liu, Yongzhen Huang, Liang Wang:
Free Lunch for Gait Recognition: A Novel Relation Descriptor. CoRR abs/2308.11487 (2023) - [i137]Andong Lu, Zhang Zhang, Yan Huang, Yifan Zhang, Chenglong Li, Jin Tang, Liang Wang:
Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark. CoRR abs/2308.16486 (2023) - [i136]Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang:
TiBGL: Template-induced Brain Graph Learning for Functional Neuroimaging Analysis. CoRR abs/2309.07947 (2023) - [i135]Ming-Zhe Li, Zhen Jia, Zhang Zhang, Zhanyu Ma, Liang Wang:
Multi-Semantic Fusion Model for Generalized Zero-Shot Skeleton-Based Action Recognition. CoRR abs/2309.09592 (2023) - [i134]Xiangzhu Meng, Wei Wei, Qiang Liu, Shu Wu, Liang Wang:
TCGF: A unified tensorized consensus graph framework for multi-view representation learning. CoRR abs/2309.09987 (2023) - [i133]Yi-Fan Zhang, Qingsong Wen, Xue Wang, Weiqi Chen, Liang Sun, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling. CoRR abs/2309.12659 (2023) - [i132]Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang:
Uncovering Neural Scaling Laws in Molecular Representation Learning. CoRR abs/2309.15123 (2023) - [i131]Han Huang, Yan Huang, Liang Wang:
VI-Diff: Unpaired Visible-Infrared Translation Diffusion Model for Single Modality Labeled Visible-Infrared Person Re-identification. CoRR abs/2310.04122 (2023) - [i130]Zhixun Li, Liang Wang, Xin Sun, Yifan Luo, Yanqiao Zhu, Dingshuo Chen, Yingtao Luo, Xiangxin Zhou, Qiang Liu, Shu Wu, Liang Wang, Jeffrey Xu Yu:
GSLB: The Graph Structure Learning Benchmark. CoRR abs/2310.05174 (2023) - [i129]Huanhuan Ma, Weizhi Xu, Yifan Wei, Liuji Chen, Liang Wang, Qiang Liu, Shu Wu, Liang Wang:
EX-FEVER: A Dataset for Multi-hop Explainable Fact Verification. CoRR abs/2310.09754 (2023) - [i128]Zhanke Zhou, Jiangchao Yao, Jiaxu Liu, Xiawei Guo, Quanming Yao, Li He, Liang Wang, Bo Zheng, Bo Han:
Combating Bilateral Edge Noise for Robust Link Prediction. CoRR abs/2311.01196 (2023) - [i127]Qian Wang, Xuanzhi Xia, Zongjun Yang, Xiaotie Deng, Yuqing Kong, Zhilin Zhang, Liang Wang, Chuan Yu, Jian Xu, Bo Zheng:
Learning against Non-credible Auctions. CoRR abs/2311.15203 (2023) - [i126]Yifan Zhang, Xue Wang, Tian Zhou, Kun Yuan, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan:
Model-free Test Time Adaptation for Out-Of-Distribution Detection. CoRR abs/2311.16420 (2023) - [i125]Liang Dai, Kejie Lyu, Chengcheng Zhang, Guangming Zhao, Zhonglin Zu, Liang Wang, Bo Zheng:
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization. CoRR abs/2312.06174 (2023) - [i124]Yi-Fan Zhang, Zhang Zhang, Liang Wang, Tieniu Tan, Rong Jin:
Assaying on the Robustness of Zero-Shot Machine-Generated Text Detectors. CoRR abs/2312.12918 (2023) - 2022
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Learning a Robust Part-Aware Monocular 3D Human Pose Estimator via Neural Architecture Search. Int. J. Comput. Vis. 130(1): 56-75 (2022) - [j137]Weiyu Guo, Jiabin Ma, Yidong Ouyang, Liang Wang, Yongzhen Huang:
Efficient convolutional networks learning through irregular convolutional kernels. Neurocomputing 489: 167-178 (2022) - [j136]Yi-Fan Zhang, Weiqiang Ren, Zhang Zhang, Zhen Jia, Liang Wang, Tieniu Tan:
Focal and efficient IOU loss for accurate bounding box regression. Neurocomputing 506: 146-157 (2022) - [j135]Lei Zhang, Zhenwei He, Yi Yang, Liang Wang, Xinbo Gao:
Tasks Integrated Networks: Joint Detection and Retrieval for Image Search. IEEE Trans. Pattern Anal. Mach. Intell. 44(1): 456-473 (2022) - [j134]Yan Huang, Jingdong Wang, Liang Wang:
Few-Shot Image and Sentence Matching via Aligned Cross-Modal Memory. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 2968-2983 (2022) - [j133]Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang:
Two-Branch Relational Prototypical Network for Weakly Supervised Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 5729-5746 (2022) - [j132]Jingke Meng, Wei-Shi Zheng, Jian-Huang Lai, Liang Wang:
Deep Graph Metric Learning for Weakly Supervised Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6074-6093 (2022) - [j131]Hongsong Wang, Liang Wang, Jiashi Feng, Daquan Zhou:
Velocity-to-velocity human motion forecasting. Pattern Recognit. 124: 108424 (2022) - [j130]Shangze Li, Andong Lu, Yan Huang, Chenglong Li, Liang Wang:
Joint Token and Feature Alignment Framework for Text-Based Person Search. IEEE Signal Process. Lett. 29: 2238-2242 (2022) - [j129]Yabin Zhu, Chenglong Li, Jin Tang, Bin Luo, Liang Wang:
RGBT Tracking by Trident Fusion Network. IEEE Trans. Circuits Syst. Video Technol. 32(2): 579-592 (2022) - [j128]Cairong Zhao, Liang Zhu, Shuguang Dou, Weihong Deng, Liang Wang:
Detecting Overlapped Objects in X-Ray Security Imagery by a Label-Aware Mechanism. IEEE Trans. Inf. Forensics Secur. 17: 998-1009 (2022) - [j127]Linjiang Huang, Liang Wang, Hongsheng Li:
Multi-Modality Self-Distillation for Weakly Supervised Temporal Action Localization. IEEE Trans. Image Process. 31: 1504-1519 (2022) - [j126]Jianhua Yang, Yan Huang, Kai Niu, Linjiang Huang, Zhanyu Ma, Liang Wang:
Actor and Action Modular Network for Text-Based Video Segmentation. IEEE Trans. Image Process. 31: 4474-4489 (2022) - [j125]Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang:
Contrast-Reconstruction Representation Learning for Self-Supervised Skeleton-Based Action Recognition. IEEE Trans. Image Process. 31: 6224-6238 (2022) - [j124]Mengqi Zhang, Shu Wu, Meng Gao, Xin Jiang, Ke Xu, Liang Wang:
Personalized Graph Neural Networks With Attention Mechanism for Session-Aware Recommendation. IEEE Trans. Knowl. Data Eng. 34(8): 3946-3957 (2022) - [j123]Weining Wang, Tianwei Lin, Dongliang He, Fu Li, Shilei Wen, Liang Wang, Jing Liu:
Semi-Supervised Temporal Action Proposal Generation via Exploiting 2-D Proposal Map. IEEE Trans. Multim. 24: 3624-3635 (2022) - [c229]Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan:
Generalizable Person Re-identification via Self-Supervised Batch Norm Test-Time Adaption. AAAI 2022: 817-825 - [c228]Ke Han, Yan Huang, Shaogang Gong, Liang Wang, Tieniu Tan:
3D Shape Temporal Aggregation for Video-Based Clothing-Change Person Re-identification. ACCV (5) 2022: 71-88 - [c227]Zhiyuan Cheng, Andong Lu, Zhang Zhang, Chenglong Li, Liang Wang:
Fusion Tree Network for RGBT Tracking. AVSS 2022: 1-8 - [c226]Chenyang Su, Qiang Liu, Liang Wang:
Uncertainty Estimation Based Doubly Robust Learning for Debiasing Recommendation. CCIS 2022: 696-701 - [c225]Fenyu Hu, Zeyu Cui, Shu Wu, Qiang Liu, Jinlin Wu, Liang Wang, Tieniu Tan:
Second-Order Global Attention Networks for Graph Classification and Regression. CICAI (2) 2022: 496-507 - [c224]Yucheng Lu, Qiang Ji, Liang Wang, Tianshu Wu, Hongbo Deng, Jian Xu, Bo Zheng:
STARDOM: Semantic Aware Deep Hierarchical Forecasting Model for Search Traffic Prediction. CIKM 2022: 3352-3360 - [c223]Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng:
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. CIKM 2022: 4635-4639 - [c222]Mengqi Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang:
Deep Contrastive Multiview Network Embedding. CIKM 2022: 4692-4696 - [c221]Linjiang Huang, Liang Wang, Hongsheng Li:
Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation. CVPR 2022: 3262-3271 - [c220]Chaowei Fang, Liang Wang, Dingwen Zhang, Jun Xu, Yixuan Yuan, Junwei Han:
Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. CVPR 2022: 20645-20654 - [c219]Huang Huang, Yi Yang, Liang Tang, Zhang Zhang, Nailong Liu, Mou Li, Liang Wang:
A Multimodal Off-Road Terrain Classification Benchmark for Extraterrestrial Traversability Analysis. CyberC 2022: 123-126 - [c218]Liping Wang, Qiang Liu, Huanhuan Ma, Shu Wu, Liang Wang:
Multi-Cause Learning for Diagnosis Prediction. DMBD (1) 2022: 320-332 - [c217]Wentao Chen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan:
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations. ECCV (20) 2022: 383-399 - [c216]Matej Kristan, Ales Leonardis, Jirí Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Johanna Björklund, Yushan Zhang, Zhongqun Zhang, Song Yan, Wenyan Yang, Dingding Cai, Christoph Mayer, Gustavo Fernández, Kang Ben, Goutam Bhat, Hong Chang, Guangqi Chen, Jiaye Chen, Shengyong Chen, Xilin Chen, Xin Chen, Xiuyi Chen, Yiwei Chen, Yu-Hsi Chen, Zhixing Chen, Yangming Cheng, Angelo Ciaramella, Yutao Cui, Benjamin Dzubur, Mohana Murali Dasari, Qili Deng, Debajyoti Dhar, Shangzhe Di, Emanuel Di Nardo, Daniel K. Du, Matteo Dunnhofer, Heng Fan, Zhen-Hua Feng, Zhihong Fu, Shang Gao, Rama Krishna Gorthi, Eric Granger, Q. H. Gu, Himanshu Gupta, Jianfeng He, Keji He, Yan Huang, Deepak Jangid, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Järemo Lawin, Ze Kang, Madhu Kiran, Josef Kittler, Simiao Lai, Xiangyuan Lan, Dongwook Lee, Hyunjeong Lee, Seohyung Lee, Hui Li, Ming Li, Wangkai Li, Xi Li, Xianxian Li, Xiao Li, Zhe Li, Liting Lin, Haibin Ling, Bo Liu, Chang Liu, Si Liu, Huchuan Lu, Rafael M. O. Cruz, Bingpeng Ma, Chao Ma, Jie Ma, Yinchao Ma, Niki Martinel, Alireza Memarmoghadam, Christian Micheloni, Payman Moallem, Le Thanh Nguyen-Meidine, Siyang Pan, ChangBeom Park, Danda Pani Paudel, Matthieu Paul, Houwen Peng, Andreas Robinson, Litu Rout, Shiguang Shan, Kristian Simonato, Tianhui Song, Xiaoning Song, Chao Sun, Jingna Sun, Zhangyong Tang, Radu Timofte, Chi-Yi Tsai, Luc Van Gool, Om Prakash Verma, Dong Wang, Fei Wang, Liang Wang, Liangliang Wang, Lijun Wang, Limin Wang, Qiang Wang, Gangshan Wu, Jinlin Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Wei Xu, Yong Xu, Yuanyou Xu, Wanli Xue, Zizheng Xun, Bin Yan, Dawei Yang, Jinyu Yang, Wankou Yang, Xiaoyun Yang, Yi Yang, Yichun Yang, Zongxin Yang, Botao Ye, Fisher Yu, Hongyuan Yu, Jiaqian Yu, Qianjin Yu, Weichen Yu, Kang Ze, Jiang Zhai, Chengwei Zhang, Chunhu Zhang, Kaihua Zhang, Tianzhu Zhang, Wenkang Zhang, Zhibin Zhang, Zhipeng Zhang, Jie Zhao, Shao-Chuan Zhao, Feng Zheng, Haixia Zheng, Min Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang:
The Tenth Visual Object Tracking VOT2022 Challenge Results. ECCV Workshops (8) 2022: 431-460 - [c215]Shiqi Yu, Yongzhen Huang, Liang Wang, Yasushi Makihara, Shengjin Wang, Md Atiqur Rahman Ahad, Mark S. Nixon:
HID 2022: The 3rd International Competition on Human Identification at a Distance. IJCB 2022: 1-9 - [c214]Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest. ICDE 2022: 2224-2236 - [c213]Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng:
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. ICDE 2022: 3439-3452 - [c212]Liang Liu, Andong Lu, Chenglong Li, Yan Huang, Liang Wang:
Dynamic Collaboration Convolution for Robust RGBT Tracking. ICPR 2022: 3543-3549 - [c211]Fenyu Hu, Liping Wang, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
GraphDIVE: Graph Classification by Mixture of Diverse Experts. IJCAI 2022: 2080-2086 - [c210]Hongyuan Yu, Ting Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, Alex X. Liu:
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting. IJCAI 2022: 2362-2368 - [c209]Junshan Wang, Wenhao Zhu, Guojie Song, Liang Wang:
Streaming Graph Neural Networks with Generative Replay. KDD 2022: 1878-1888 - [c208]Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng:
ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. KDD 2022: 4021-4031 - [c207]Weichen Yu, Hongyuan Yu, Yan Huang, Liang Wang:
Generalized Inter-class Loss for Gait Recognition. ACM Multimedia 2022: 141-150 - [c206]Chaowei Fang, Dingwen Zhang, Liang Wang, Yulun Zhang, Lechao Cheng, Junwei Han:
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution. ACM Multimedia 2022: 1584-1592 - [c205]Kai Niu, Linjiang Huang, Yan Huang, Peng Wang, Liang Wang, Yanning Zhang:
Cross-modal Co-occurrence Attributes Alignments for Person Search by Language. ACM Multimedia 2022: 4426-4434 - [c204]Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng:
CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. NAACL-HLT (Industry Papers) 2022: 9-17 - [c203]Yan Huang, Yuming Wang, Yunan Zeng, Liang Wang:
MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching. NeurIPS 2022 - [c202]Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng:
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. SIGIR 2022: 2634-2638 - [c201]Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng:
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. SIGIR 2022: 2645-2649 - [c200]Chenchen Feng, Yu He, Shiyang Wen, Guojun Liu, Liang Wang, Jian Xu, Bo Zheng:
DC-GNN: Decoupled Graph Neural Networks for Improving and Accelerating Large-Scale E-commerce Retrieval. WWW (Companion Volume) 2022: 32-40 - [c199]Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang:
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. WWW 2022: 1270-1280 - [c198]Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng:
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. WWW 2022: 2078-2087 - [c197]Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang:
Evidence-aware Fake News Detection with Graph Neural Networks. WWW 2022: 2501-2510 - [i123]Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang:
Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection. CoRR abs/2201.06885 (2022) - [i122]Zixuan Xu, Penghui Wei, Weimin Zhang, Shaoguo Liu, Liang Wang, Bo Zheng:
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation. CoRR abs/2201.08024 (2022) - [i121]Ming-Ming Cheng, Peng-Tao Jiang, Linghao Han, Liang Wang, Philip H. S. Torr:
Deeply Explain CNN via Hierarchical Decomposition. CoRR abs/2201.09205 (2022) - [i120]Ke Han, Chenyang Si, Yan Huang, Liang Wang, Tieniu Tan:
Generalizable Person Re-Identification via Self-Supervised Batch Norm Test-Time Adaption. CoRR abs/2203.00672 (2022) - [i119]Linjiang Huang, Liang Wang, Hongsheng Li:
Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation. CoRR abs/2203.02925 (2022) - [i118]Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan:
Learning the Degradation Distribution for Blind Image Super-Resolution. CoRR abs/2203.04962 (2022) - [i117]Xiaojun Ma, Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang:
Meta-Weight Graph Neural Network: Push the Limits Beyond Global Homophily. CoRR abs/2203.10280 (2022) - [i116]Yuezihan Jiang, Yu Cheng, Hanyu Zhao, Wentao Zhang, Xupeng Miao, Yu He, Liang Wang, Zhi Yang, Bin Cui:
ZOOMER: Boosting Retrieval on Web-scale Graphs by Regions of Interest. CoRR abs/2203.12596 (2022) - [i115]Zhirong Xu, Shiyang Wen, Junshan Wang, Guojun Liu, Liang Wang, Zhi Yang, Lei Ding, Yan Zhang, Di Zhang, Jian Xu, Bo Zheng:
AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System. CoRR abs/2203.14683 (2022) - [i114]Chaowei Fang, Dingwen Zhang, Liang Wang, Yulun Zhang, Lechao Cheng, Junwei Han:
Cross-Modality High-Frequency Transformer for MR Image Super-Resolution. CoRR abs/2203.15314 (2022) - [i113]Penghui Wei, Weimin Zhang, Ruijie Hou, Jinquan Liu, Shaoguo Liu, Liang Wang, Bo Zheng:
Posterior Probability Matters: Doubly-Adaptive Calibration for Neural Predictions in Online Advertising. CoRR abs/2205.07295 (2022) - [i112]Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng:
CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. CoRR abs/2205.08943 (2022) - [i111]Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng:
Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. CoRR abs/2205.14970 (2022) - [i110]Qiang Liu, Yingtao Luo, Shu Wu, Zhen Zhang, Xiangnan Yue, Hong Jin, Liang Wang:
RMT-Net: Reject-aware Multi-Task Network for Modeling Missing-not-at-random Data in Financial Credit Scoring. CoRR abs/2206.00568 (2022) - [i109]Haozhe Wang, Chao Du, Panyan Fang, Shuo Yuan, Xuming He, Liang Wang, Bo Zheng:
ROI-Constrained Bidding via Curriculum-Guided Bayesian Reinforcement Learning. CoRR abs/2206.05240 (2022) - [i108]Shanghua Gao, Zhong-Yu Li, Qi Han, Ming-Ming Cheng, Liang Wang:
RF-Next: Efficient Receptive Field Search for Convolutional Neural Networks. CoRR abs/2206.06637 (2022) - [i107]Dong An, Zun Wang, Yangguang Li, Yi Wang, Yicong Hong, Yan Huang, Liang Wang, Jing Shao:
1st Place Solutions for RxR-Habitat Vision-and-Language Navigation Competition (CVPR 2022). CoRR abs/2206.11610 (2022) - [i106]Xiao Wang, Shaoguo Liu, Yidong Jia, Yuxin Fu, Yufang Yu, Liang Wang, Bo Zheng:
MCMF: Multi-Constraints With Merging Features Bid Optimization in Online Display Advertising. CoRR abs/2206.12147 (2022) - [i105]Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng:
AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. CoRR abs/2206.13108 (2022) - [i104]Chuanfu Shen, Shiqi Yu, Jilong Wang, George Q. Huang, Liang Wang:
A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges. CoRR abs/2206.13732 (2022) - [i103]Gang Xu, Yuchen Yang, Jun Xu, Liang Wang, Xiantong Zhen, Ming-Ming Cheng:
Joint Super-Resolution and Inverse Tone-Mapping: A Feature Decomposition Aggregation Network and A New Benchmark. CoRR abs/2207.03367 (2022) - [i102]Wentao Chen, Zhang Zhang, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan:
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations. CoRR abs/2207.07826 (2022) - [i101]Yi-Fan Zhang, Jindong Wang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie:
Domain-Specific Risk Minimization. CoRR abs/2208.08661 (2022) - [i100]Zihan Lin, Xuanhua Yang, Shaoguo Liu, Xiaoyu Peng, Wayne Xin Zhao, Liang Wang, Bo Zheng:
Personalized Inter-Task Contrastive Learning for CTR&CVR Joint Estimation. CoRR abs/2208.13442 (2022) - [i99]Kun Hu, Shaohui Mei, Wei Wang, Kaylena A. Ehgoetz Martens, Liang Wang, Simon J. G. Lewis, David D. Feng, Zhiyong Wang:
Multi-level Adversarial Spatio-temporal Learning for Footstep Pressure based FoG Detection. CoRR abs/2209.10770 (2022) - [i98]Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang:
Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks. CoRR abs/2210.05498 (2022) - [i97]Hongyuan Yu, Ting Li, Weichen Yu, Jianguo Li, Yan Huang, Liang Wang, Alex X. Liu:
Regularized Graph Structure Learning with Semantic Knowledge for Multi-variates Time-Series Forecasting. CoRR abs/2210.06126 (2022) - [i96]Weichen Yu, Hongyuan Yu, Yan Huang, Liang Wang:
Generalized Inter-class Loss for Gait Recognition. CoRR abs/2210.06779 (2022) - [i95]Weichen Yu, Hongyuan Yu, Yan Huang, Chunshui Cao, Liang Wang:
CNTN: Cyclic Noise-tolerant Network for Gait Recognition. CoRR abs/2210.06910 (2022) - [i94]Zixuan Xu, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng:
Correlative Preference Transfer with Hierarchical Hypergraph Network for Multi-Domain Recommendation. CoRR abs/2211.11191 (2022) - [i93]Linjiang Huang, Kaixin Lu, Guanglu Song, Liang Wang, Si Liu, Yu Liu, Hongsheng Li:
Teach-DETR: Better Training DETR with Teachers. CoRR abs/2211.11953 (2022) - [i92]Qiyue Yin, Tongtong Yu, Shengqi Shen, Jun Yang, Meijing Zhao, Kaiqi Huang, Bin Liang, Liang Wang:
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox. CoRR abs/2212.00253 (2022) - [i91]Dong An, Yuankai Qi, Yangguang Li, Yan Huang, Liang Wang, Tieniu Tan, Jing Shao:
BEVBert: Topo-Metric Map Pre-training for Language-guided Navigation. CoRR abs/2212.04385 (2022) - [i90]Zhen Jia, Zhang Zhang, Liang Wang, Tieniu Tan:
Human Image Generation: A Comprehensive Survey. CoRR abs/2212.08896 (2022) - 2021
- [j122]Wei Tang, Yan Huang, Liang Wang:
PokerNet: Expanding Features Cheaply via Depthwise Convolutions. Int. J. Autom. Comput. 18(3): 432-442 (2021) - [j121]Chunfeng Song, Caifeng Shan, Yan Huang, Liang Wang:
Mask-guided contrastive attention and two-stream metric co-learning for person Re-identification. Neurocomputing 465: 561-573 (2021) - [j120]Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan:
GraphAIR: Graph representation learning with neighborhood aggregation and interaction. Pattern Recognit. 112: 107745 (2021) - [j119]Hongyuan Yu, Yan Huang, Lihong Pi, Chengquan Zhang, Xuan Li, Liang Wang:
End-to-end video text detection with online tracking. Pattern Recognit. 113: 107791 (2021) - [j118]Ke Han, Yan Huang, Chunfeng Song, Liang Wang, Tieniu Tan:
Adaptive super-resolution for person re-identification with low-resolution images. Pattern Recognit. 114: 107682 (2021) - [j117]Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. Proc. VLDB Endow. 14(11): 2473-2482 (2021) - [j116]Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang:
Deep Self-Supervised Representation Learning for Free-Hand Sketch. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1503-1513 (2021) - [j115]Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang:
Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1915-1925 (2021) - [j114]Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang:
On Learning Semantic Representations for Large-Scale Abstract Sketches. IEEE Trans. Circuits Syst. Video Technol. 31(9): 3366-3379 (2021) - [j113]Yuchun Fang, Zhengye Xiao, Wei Zhang, Yan Huang, Liang Wang, Nozha Boujemaa, Donald Geman:
Attribute Prototype Learning for Interactive Face Retrieval. IEEE Trans. Inf. Forensics Secur. 16: 2593-2607 (2021) - [j112]Ya Jing, Wei Wang, Liang Wang, Tieniu Tan:
Learning Aligned Image-Text Representations Using Graph Attentive Relational Network. IEEE Trans. Image Process. 30: 1840-1852 (2021) - [j111]Cairong Zhao, Xinbi Lv, Shuguang Dou, Shanshan Zhang, Jun Wu, Liang Wang:
Incremental Generative Occlusion Adversarial Suppression Network for Person ReID. IEEE Trans. Image Process. 30: 4212-4224 (2021) - [j110]Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang:
Modeling Sub-Actions for Weakly Supervised Temporal Action Localization. IEEE Trans. Image Process. 30: 5154-5167 (2021) - [j109]Yingjie Zhai, Deng-Ping Fan, Jufeng Yang, Ali Borji, Ling Shao, Junwei Han, Liang Wang:
Bifurcated Backbone Strategy for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30: 8727-8742 (2021) - [j108]Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang:
Disentangled Item Representation for Recommender Systems. ACM Trans. Intell. Syst. Technol. 12(2): 20:1-20:20 (2021) - [j107]Xingxu Yao, Dongyu She, Haiwei Zhang, Jufeng Yang, Ming-Ming Cheng, Liang Wang:
Adaptive Deep Metric Learning for Affective Image Retrieval and Classification. IEEE Trans. Multim. 23: 1640-1653 (2021) - [j106]Xuecai Hu, Zhang Zhang, Caifeng Shan, Zilei Wang, Liang Wang, Tieniu Tan:
Meta-USR: A Unified Super-Resolution Network for Multiple Degradation Parameters. IEEE Trans. Neural Networks Learn. Syst. 32(9): 4151-4165 (2021) - [c196]Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang:
A Graph-based Relevance Matching Model for Ad-hoc Retrieval. AAAI 2021: 4688-4696 - [c195]Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Fully Hyperbolic Graph Convolution Network for Recommendation. CIKM 2021: 3483-3487 - [c194]Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Label-informed Graph Structure Learning for Node Classification. CIKM 2021: 3488-3492 - [c193]Shiyang Wen, Yiran Chen, Zhi Yang, Yan Zhang, Di Zhang, Liang Wang, Bo Zheng:
SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search. CIKM 2021: 3543-3547 - [c192]Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang:
Relation-aware Heterogeneous Graph for User Profiling. CIKM 2021: 3573-3577 - [c191]Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng:
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. CVPR 2021: 6388-6397 - [c190]Ya Jing, Tao Kong, Wei Wang, Liang Wang, Lei Li, Tieniu Tan:
Locate Then Segment: A Strong Pipeline for Referring Image Segmentation. CVPR 2021: 9858-9867 - [c189]Zhengxiong Luo, Zhicheng Wang, Yan Huang, Liang Wang, Tieniu Tan, Erjin Zhou:
Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation. CVPR 2021: 13264-13273 - [c188]Shang-Hua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. CVPR 2021: 16805-16814 - [c187]Shiqi Yu, Yongzhen Huang, Liang Wang, Yasushi Makihara, Edel B. García Reyes, Feng Zheng, Md Atiqur Rahman Ahad, Beibei Lin, Yuchao Yang, Haijun Xiong, Binyuan Huang, Yuxuan Zhang:
HID 2021: Competition on Human Identification at a Distance 2021. IJCB 2021: 1-7 - [c186]Linjiang Huang, Liang Wang, Hongsheng Li:
Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization. ICCV 2021: 7982-7991 - [c185]Mengmeng Cui, Wei Wang, Jinjin Zhang, Liang Wang:
Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition. ICDAR (4) 2021: 156-170 - [c184]Jianhua Yang, Yan Huang, Zhanyu Ma, Liang Wang:
CMF: Cascaded Multi-Model Fusion For Referring Image Segmentation. ICIP 2021: 2289-2293 - [c183]Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, Guan'an Wang, Liang Wang, Yan Huang, Erjin Zhou, Tieniu Tan, Jian Sun:
Efficient Human Pose Estimation by Learning Deeply Aggregated Representations. ICME 2021: 1-6 - [c182]Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan:
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images. IJCAI 2021: 2271-2277 - [c181]Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
ROD: Reception-aware Online Distillation for Sparse Graphs. KDD 2021: 2232-2242 - [c180]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang:
Mining Latent Structures for Multimedia Recommendation. ACM Multimedia 2021: 3872-3880 - [c179]Dong An, Yuankai Qi, Yan Huang, Qi Wu, Liang Wang, Tieniu Tan:
Neighbor-view Enhanced Model for Vision and Language Navigation. ACM Multimedia 2021: 5101-5109 - [c178]Keji He, Yan Huang, Qi Wu, Jianhua Yang, Dong An, Shuanglin Sima, Liang Wang:
Landmark-RxR: Solving Vision-and-Language Navigation with Fine-Grained Alignment Supervision. NeurIPS 2021: 652-663 - [c177]Wenmei Xu, Hongyuan Yu, Wei Wang, Chenglong Li, Liang Wang:
Joint Learning Appearance and Motion Models for Visual Tracking. PRCV (1) 2021: 416-428 - [c176]Zeyu Cui, Yinjiang Cai, Shu Wu, Xibo Ma, Liang Wang:
Motif-aware Sequential Recommendation. SIGIR 2021: 1738-1742 - [c175]Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang:
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval. WWW 2021: 778-787 - [c174]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Graph Contrastive Learning with Adaptive Augmentation. WWW 2021: 2069-2080 - [e16]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part I. Lecture Notes in Computer Science 13019, Springer 2021, ISBN 978-3-030-88003-3 [contents] - [e15]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part II. Lecture Notes in Computer Science 13020, Springer 2021, ISBN 978-3-030-88006-4 [contents] - [e14]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part III. Lecture Notes in Computer Science 13021, Springer 2021, ISBN 978-3-030-88009-5 [contents] - [e13]Huimin Ma, Liang Wang, Changshui Zhang, Fei Wu, Tieniu Tan, Yaonan Wang, Jianhuang Lai, Yao Zhao:
Pattern Recognition and Computer Vision - 4th Chinese Conference, PRCV 2021, Beijing, China, October 29 - November 1, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 13022, Springer 2021, ISBN 978-3-030-88012-5 [contents] - [i89]Shanghua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng:
Global2Local: Efficient Structure Search for Video Action Segmentation. CoRR abs/2101.00910 (2021) - [i88]Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu:
Dynamic Graph Collaborative Filtering. CoRR abs/2101.02844 (2021) - [i87]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Disentangled Self-Attentive Neural Networks for Click-Through Rate Prediction. CoRR abs/2101.03654 (2021) - [i86]Yi-Fan Zhang, Weiqiang Ren, Zhang Zhang, Zhen Jia, Liang Wang, Tieniu Tan:
Focal and Efficient IOU Loss for Accurate Bounding Box Regression. CoRR abs/2101.08158 (2021) - [i85]Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang:
A Graph-based Relevance Matching Model for Ad-hoc Retrieval. CoRR abs/2101.11873 (2021) - [i84]Xueli Yu, Weizhi Xu, Zeyu Cui, Shu Wu, Liang Wang:
Graph-based Hierarchical Relevance Matching Signals for Ad-hoc Retrieval. CoRR abs/2102.11127 (2021) - [i83]Yanqiao Zhu, Weizhi Xu, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Deep Graph Structure Learning for Robust Representations: A Survey. CoRR abs/2103.03036 (2021) - [i82]Fenyu Hu, Liping Wang, Shu Wu, Liang Wang, Tieniu Tan:
Graph Classification by Mixture of Diverse Experts. CoRR abs/2103.15622 (2021) - [i81]Yi-Fan Zhang, Hanlin Zhang, Zhang Zhang, Da Li, Zhen Jia, Liang Wang, Tieniu Tan:
Learning Domain Invariant Representations for Generalizable Person Re-Identification. CoRR abs/2103.15890 (2021) - [i80]Ya Jing, Tao Kong, Wei Wang, Liang Wang, Lei Li, Tieniu Tan:
Locate then Segment: A Strong Pipeline for Referring Image Segmentation. CoRR abs/2103.16284 (2021) - [i79]Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Qiang Liu, Liang Wang, Mengmeng Ai:
DyGCN: Dynamic Graph Embedding with Graph Convolutional Network. CoRR abs/2104.02962 (2021) - [i78]Mengqi Zhang, Shu Wu, Xueli Yu, Liang Wang:
Dynamic Graph Neural Networks for Sequential Recommendation. CoRR abs/2104.07368 (2021) - [i77]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Shu Wu, Shuhui Wang, Liang Wang:
Mining Latent Structures for Multimedia Recommendation. CoRR abs/2104.09036 (2021) - [i76]Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng:
Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. CoRR abs/2104.10642 (2021) - [i75]Jiayi Lin, Yan Huang, Liang Wang:
FDAN: Flow-guided Deformable Alignment Network for Video Super-Resolution. CoRR abs/2105.05640 (2021) - [i74]Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan:
End-to-end Alternating Optimization for Blind Super Resolution. CoRR abs/2105.06878 (2021) - [i73]Wentao Chen, Chenyang Si, Wei Wang, Liang Wang, Zilei Wang, Tieniu Tan:
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled Images. CoRR abs/2105.11874 (2021) - [i72]Mengmeng Cui, Wei Wang, Jinjin Zhang, Liang Wang:
Representation and Correlation Enhanced Encoder-Decoder Framework for Scene Text Recognition. CoRR abs/2106.06960 (2021) - [i71]Jianhua Yang, Yan Huang, Zhanyu Ma, Liang Wang:
CMF: Cascaded Multi-model Fusion for Referring Image Segmentation. CoRR abs/2106.08617 (2021) - [i70]Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang:
Constructing Stronger and Faster Baselines for Skeleton-based Action Recognition. CoRR abs/2106.15125 (2021) - [i69]Dong An, Yuankai Qi, Yan Huang, Qi Wu, Liang Wang, Tieniu Tan:
Neighbor-view Enhanced Model for Vision and Language Navigation. CoRR abs/2107.07201 (2021) - [i68]Zhengxiong Luo, Zhicheng Wang, Yan Huang, Liang Wang, Tieniu Tan, Erjin Zhou:
Adaptive Dilated Convolution For Human Pose Estimation. CoRR abs/2107.10477 (2021) - [i67]Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui:
ROD: Reception-aware Online Distillation for Sparse Graphs. CoRR abs/2107.11789 (2021) - [i66]Wentao Zhang, Zhi Yang, Yexin Wang, Yu Shen, Yang Li, Liang Wang, Bin Cui:
Grain: Improving Data Efficiency of Graph Neural Networks via Diversified Influence Maximization. CoRR abs/2108.00219 (2021) - [i65]Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Label-informed Graph Structure Learning for Node Classification. CoRR abs/2108.04595 (2021) - [i64]Liping Wang, Fenyu Hu, Shu Wu, Liang Wang:
Fully Hyperbolic Graph Convolution Network for Recommendation. CoRR abs/2108.04607 (2021) - [i63]Linjiang Huang, Liang Wang, Hongsheng Li:
Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization. CoRR abs/2108.06524 (2021) - [i62]Mengqi Zhang, Yanqiao Zhu, Shu Wu, Liang Wang:
Deep Contrastive Learning for Multi-View Network Embedding. CoRR abs/2108.08296 (2021) - [i61]Qilong Yan, Yufeng Zhang, Qiang Liu, Shu Wu, Liang Wang:
Relation-aware Heterogeneous Graph for User Profiling. CoRR abs/2110.07181 (2021) - [i60]Jinghao Zhang, Yanqiao Zhu, Qiang Liu, Mengqi Zhang, Shu Wu, Liang Wang:
Latent Structures Mining with Contrastive Modality Fusion for Multimedia Recommendation. CoRR abs/2111.00678 (2021) - [i59]Peng Wang, Jun Wen, Chenyang Si, Yuntao Qian, Liang Wang:
Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition. CoRR abs/2111.11051 (2021) - [i58]Chaowei Fang, Liang Wang, Dingwen Zhang, Jun Xu, Yixuan Yuan, Junwei Han:
Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. CoRR abs/2112.10325 (2021) - 2020
- [j105]Weining Wang, Qi Li, Liang Wang:
Robust Object Tracking via Information Theoretic Measures. Int. J. Autom. Comput. 17(5): 652-666 (2020) - [j104]Wei Xue, Hong Ai, Tianyu Sun, Chunfeng Song, Yan Huang, Liang Wang:
Frame-GAN: Increasing the frame rate of gait videos with generative adversarial networks. Neurocomputing 380: 95-104 (2020) - [j103]Yan Huang, Qi Wu, Wei Wang, Liang Wang:
Image and Sentence Matching via Semantic Concepts and Order Learning. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 636-650 (2020) - [j102]Junbo Wang, Wei Wang, Liang Wang, Zhiyong Wang, David Dagan Feng, Tieniu Tan:
Learning visual relationship and context-aware attention for image captioning. Pattern Recognit. 98 (2020) - [j101]Weining Wang, Yan Huang, Liang Wang:
Long video question answering: A Matching-guided Attention Model. Pattern Recognit. 102: 107248 (2020) - [j100]Kai Niu, Yan Huang, Liang Wang:
Re-ranking image-text matching by adaptive metric fusion. Pattern Recognit. 104: 107351 (2020) - [j99]Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan:
Skeleton-based action recognition with hierarchical spatial reasoning and temporal stack learning network. Pattern Recognit. 107: 107511 (2020) - [j98]Ya Jing, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan:
Relational graph neural network for situation recognition. Pattern Recognit. 108: 107544 (2020) - [j97]Yuqi Zhang, Yongzhen Huang, Shiqi Yu, Liang Wang:
Cross-View Gait Recognition by Discriminative Feature Learning. IEEE Trans. Image Process. 29: 1001-1015 (2020) - [j96]Kun Hu, Zhiyong Wang, Wei Wang, Kaylena A. Ehgoetz Martens, Liang Wang, Tieniu Tan, Simon J. G. Lewis, David Dagan Feng:
Graph Sequence Recurrent Neural Network for Vision-Based Freezing of Gait Detection. IEEE Trans. Image Process. 29: 1890-1901 (2020) - [j95]Zhen Jia, Zhang Zhang, Liang Wang, Caifeng Shan, Tieniu Tan:
Deep Unbiased Embedding Transfer for Zero-Shot Learning. IEEE Trans. Image Process. 29: 1958-1971 (2020) - [j94]Jingyu Liu, Wei Wang, Liang Wang, Ming-Hsuan Yang:
Attribute-Guided Attention for Referring Expression Generation and Comprehension. IEEE Trans. Image Process. 29: 5244-5258 (2020) - [j93]Kai Niu, Yan Huang, Wanli Ouyang, Liang Wang:
Improving Description-Based Person Re-Identification by Multi-Granularity Image-Text Alignments. IEEE Trans. Image Process. 29: 5542-5556 (2020) - [j92]Qiang Cui, Shu Wu, Qiang Liu, Wen Zhong, Liang Wang:
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 32(2): 317-331 (2020) - [j91]Dongyu She, Jufeng Yang, Ming-Ming Cheng, Yu-Kun Lai, Paul L. Rosin, Liang Wang:
WSCNet: Weakly Supervised Coupled Networks for Visual Sentiment Classification and Detection. IEEE Trans. Multim. 22(5): 1358-1371 (2020) - [j90]Jufeng Yang, Xiaoping Wu, Jie Liang, Xiaoxiao Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Self-Paced Balance Learning for Clinical Skin Disease Recognition. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2832-2846 (2020) - [c173]Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang:
Part-Level Graph Convolutional Network for Skeleton-Based Action Recognition. AAAI 2020: 11045-11052 - [c172]Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang:
Relational Prototypical Network for Weakly Supervised Temporal Action Localization. AAAI 2020: 11053-11060 - [c171]Ya Jing, Chenyang Si, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan:
Pose-Guided Multi-Granularity Attention Network for Text-Based Person Search. AAAI 2020: 11189-11196 - [c170]Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang:
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks. ACL 2020: 334-339 - [c169]Junshan Wang, Guojie Song, Yi Wu, Liang Wang:
Streaming Graph Neural Networks via Continual Learning. CIKM 2020: 1515-1524 - [c168]Feng Yu, Zhaocheng Liu, Qiang Liu, Haoli Zhang, Shu Wu, Liang Wang:
Deep Interaction Machine: A Simple but Effective Model for High-order Feature Interactions. CIKM 2020: 2285-2288 - [c167]Ya Jing, Wei Wang, Liang Wang, Tieniu Tan:
Cross-Modal Cross-Domain Moment Alignment Network for Person Search. CVPR 2020: 10675-10683 - [c166]Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng:
Adversarial Self-supervised Learning for Semi-supervised 3D Action Recognition. ECCV (7) 2020: 35-51 - [c165]Ke Han, Yan Huang, Zerui Chen, Liang Wang, Tieniu Tan:
Prediction and Recovery for Adaptive Low-Resolution Person Re-Identification. ECCV (26) 2020: 193-209 - [c164]Zerui Chen, Yan Huang, Hongyuan Yu, Bin Xue, Ke Han, Yiru Guo, Liang Wang:
Towards Part-Aware Monocular 3D Human Pose Estimation: An Architecture Search Approach. ECCV (3) 2020: 715-732 - [c163]Xiaohan Li, Mengqi Zhang, Shu Wu, Zheng Liu, Liang Wang, Philip S. Yu:
Dynamic Graph Collaborative Filtering. ICDM 2020: 322-331 - [c162]Kaijie Zhang, Wei Wang, Yijun Guo, Caifeng Shan, Liang Wang:
A Comparative Study on Autism Spectrum Disorder Detection via 3D Convolutional Neural Networks. ICPR Workshops (1) 2020: 546-558 - [c161]Hui Yuan, Yan Huang, Dongbo Zhang, Zerui Chen, Wenlong Cheng, Liang Wang:
VSR++: Improving Visual Semantic Reasoning for Fine-Grained Image-Text Matching. ICPR 2020: 3728-3735 - [c160]Zerui Chen, Yan Huang, Liang Wang:
On the Robustness of 3D Human Pose Estimation. ICPR 2020: 5326-5332 - [c159]Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan:
Efficient Super Resolution by Recursive Aggregation. ICPR 2020: 8592-8599 - [c158]Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang:
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition. ACM Multimedia 2020: 1625-1633 - [c157]Kai Niu, Yan Huang, Liang Wang:
Textual Dependency Embedding for Person Search by Language. ACM Multimedia 2020: 4032-4040 - [c156]Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan:
Unfolding the Alternating Optimization for Blind Super Resolution. NeurIPS 2020 - [c155]Jianhua Yang, Yan Huang, Linjiang Huang, Yunbo Wang, Zhanyu Ma, Liang Wang:
Global Context Enhanced Multi-modal Fusion for Referring Image Segmentation. PRCV (1) 2020: 434-446 - [c154]Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang:
TFNet: Multi-Semantic Feature Interaction for CTR Prediction. SIGIR 2020: 1885-1888 - [c153]Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. SIGIR 2020: 1921-1924 - [i57]Peng Xu, Zeyu Song, Qiyue Yin, Yi-Zhe Song, Liang Wang:
Deep Self-Supervised Representation Learning for Free-Hand Sketch. CoRR abs/2002.00867 (2020) - [i56]Yufeng Zhang, Xueli Yu, Zeyu Cui, Shu Wu, Zhongzhen Wen, Liang Wang:
Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks. CoRR abs/2004.13826 (2020) - [i55]Feng Yu, Yanqiao Zhu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
TAGNN: Target Attentive Graph Neural Networks for Session-based Recommendation. CoRR abs/2005.02844 (2020) - [i54]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Deep Graph Contrastive Representation Learning. CoRR abs/2006.04131 (2020) - [i53]Shu Wu, Feng Yu, Xueli Yu, Qiang Liu, Liang Wang, Tieniu Tan, Jie Shao, Fan Huang:
TFNet: Multi-Semantic Feature Interaction for CTR Prediction. CoRR abs/2006.15939 (2020) - [i52]Peng Xu, Yongye Huang, Tongtong Yuan, Tao Xiang, Timothy M. Hospedales, Yi-Zhe Song, Liang Wang:
On Learning Semantic Representations for Million-Scale Free-Hand Sketches. CoRR abs/2007.04101 (2020) - [i51]Chenyang Si, Xuecheng Nie, Wei Wang, Liang Wang, Tieniu Tan, Jiashi Feng:
Adversarial Self-Supervised Learning for Semi-Supervised 3D Action Recognition. CoRR abs/2007.05934 (2020) - [i50]Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang:
Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition. CoRR abs/2008.03791 (2020) - [i49]Hongyuan Yu, Yan Huang, Lihong Pi, Liang Wang:
Recurrent Deconvolutional Generative Adversarial Networks with Application to Text Guided Video Generation. CoRR abs/2008.05856 (2020) - [i48]Zeyu Cui, Feng Yu, Shu Wu, Qiang Liu, Liang Wang:
Disentangled Item Representation for Recommender Systems. CoRR abs/2008.07178 (2020) - [i47]Lei Zhang, Zhenwei He, Yi Yang, Liang Wang, Xinbo Gao:
Tasks Integrated Networks: Joint Detection and Retrieval for Image Search. CoRR abs/2009.01438 (2020) - [i46]Yanqiao Zhu, Yichen Xu, Feng Yu, Shu Wu, Liang Wang:
CAGNN: Cluster-Aware Graph Neural Networks for Unsupervised Graph Representation Learning. CoRR abs/2009.01674 (2020) - [i45]Junshan Wang, Guojie Song, Yi Wu, Liang Wang:
Streaming Graph Neural Networks via Continual Learning. CoRR abs/2009.10951 (2020) - [i44]Zhengxiong Luo, Yan Huang, Shang Li, Liang Wang, Tieniu Tan:
Unfolding the Alternating Optimization for Blind Super Resolution. CoRR abs/2010.02631 (2020) - [i43]Yi-Fan Song, Zhang Zhang, Caifeng Shan, Liang Wang:
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition. CoRR abs/2010.09978 (2020) - [i42]Yanqiao Zhu, Yichen Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Graph Contrastive Learning with Adaptive Augmentation. CoRR abs/2010.14945 (2020) - [i41]Yanqiao Zhu, Weizhi Xu, Feng Yu, Qiang Liu, Shu Wu, Liang Wang:
Deep Active Graph Representation Learning. CoRR abs/2010.16091 (2020) - [i40]Jianhua Yang, Yan Huang, Kai Niu, Zhanyu Ma, Liang Wang:
Actor and Action Modular Network for Text-based Video Segmentation. CoRR abs/2011.00786 (2020) - [i39]Zekun Li, Yujia Zheng, Shu Wu, Xiaoyu Zhang, Liang Wang:
Heterogeneous Graph Collaborative Filtering. CoRR abs/2011.06807 (2020) - [i38]Andong Lu, Cun Qian, Chenglong Li, Jin Tang, Liang Wang:
Duality-Gated Mutual Condition Network for RGBT Tracking. CoRR abs/2011.07188 (2020) - [i37]Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, Guan'an Wang, Yan Huang, Liang Wang, Erjin Zhou, Tieniu Tan, Jian Sun:
Efficient Human Pose Estimation by Learning Deeply Aggregated Representations. CoRR abs/2012.07033 (2020)
2010 – 2019
- 2019
- [j89]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
Attention-based convolutional approach for misinformation identification from massive and noisy microblog posts. Comput. Secur. 83: 106-121 (2019) - [j88]Yanyun Wang, Chunfeng Song, Yan Huang, Zhenyu Wang, Liang Wang:
Learning view invariant gait features with Two-Stream GAN. Neurocomputing 339: 245-254 (2019) - [j87]Qiang Cui, Shu Wu, Yan Huang, Liang Wang:
A hierarchical contextual attention-based network for sequential recommendation. Neurocomputing 358: 141-149 (2019) - [j86]Chunshui Cao, Yongzhen Huang, Yi Yang, Liang Wang, Zilei Wang, Tieniu Tan:
Feedback Convolutional Neural Network for Visual Localization and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 41(7): 1627-1640 (2019) - [j85]Yabei Li, Zhang Zhang, Yanhua Cheng, Liang Wang, Tieniu Tan:
MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification. Pattern Recognit. 90: 436-449 (2019) - [j84]Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang:
Part-aligned pose-guided recurrent network for action recognition. Pattern Recognit. 92: 165-176 (2019) - [j83]Yuqi Zhang, Yongzhen Huang, Liang Wang, Shiqi Yu:
A comprehensive study on gait biometrics using a joint CNN-based method. Pattern Recognit. 93: 228-236 (2019) - [j82]Yabei Li, Zhang Zhang, Yanhua Cheng, Liang Wang, Tieniu Tan:
Corrigendum to "MAPNet: Multi-modal attentive pooling network for RGB-D indoor scene classification" [Pattern Recognition 90 (2019) 436-449]. Pattern Recognit. 94: 250 (2019) - [j81]Chunfeng Song, Yongzhen Huang, Yan Huang, Ning Jia, Liang Wang:
GaitNet: An end-to-end network for gait based human identification. Pattern Recognit. 96 (2019) - [j80]Yiwei He, Junping Zhang, Hongming Shan, Liang Wang:
Multi-Task GANs for View-Specific Feature Learning in Gait Recognition. IEEE Trans. Inf. Forensics Secur. 14(1): 102-113 (2019) - [j79]Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Simultaneous Subspace Clustering and Cluster Number Estimating Based on Triplet Relationship. IEEE Trans. Image Process. 28(8): 3973-3985 (2019) - [j78]Zhanyu Ma, Yuping Lai, W. Bastiaan Kleijn, Yi-Zhe Song, Liang Wang, Jun Guo:
Variational Bayesian Learning for Dirichlet Process Mixture of Inverted Dirichlet Distributions in Non-Gaussian Image Feature Modeling. IEEE Trans. Neural Networks Learn. Syst. 30(2): 449-463 (2019) - [c152]Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan:
Session-Based Recommendation with Graph Neural Networks. AAAI 2019: 346-353 - [c151]Yan Huang, Yang Long, Liang Wang:
Few-Shot Image and Sentence Matching via Gated Visual-Semantic Embedding. AAAI 2019: 8489-8496 - [c150]Da Li, Zhang Zhang, Caifeng Shan, Liang Wang, Tieniu Tan:
A Comprehensive Study on Large-Scale Person Retrieval in Real Surveillance Scenarios. AVSS 2019: 1-8 - [c149]Zerui Chen, Yiru Guo, Yan Huang, Liang Wang:
Learning Depth-aware Heatmaps for 3D Human Pose Estimation in the Wild. BMVC 2019: 50 - [c148]Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. CIKM 2019: 539-548 - [c147]Yusi Zhang, Zhi Yang, Liang Wang, Li He:
Autor3: Automated Real-time Ranking with Reinforcement Learning in E-commerce Sponsored Search Advertising. CIKM 2019: 2499-2507 - [c146]Weining Wang, Yan Huang, Liang Wang:
Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model. CVPR 2019: 334-343 - [c145]Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan:
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition. CVPR 2019: 1227-1236 - [c144]Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang:
Box-Driven Class-Wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation. CVPR 2019: 3136-3145 - [c143]Yan Huang, Liang Wang:
ACMM: Aligned Cross-Modal Memory for Few-Shot Image and Sentence Matching. ICCV 2019: 5773-5782 - [c142]Kai Niu, Yan Huang, Liang Wang:
Fusing Two Directions in Cross-Domain Adaption for Real Life Person Search by Language. ICCV Workshops 2019: 1815-1818 - [c141]Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhen-Hua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241 - [c140]Hongyuan Yu, Chengquan Zhang, Xuan Li, Junyu Han, Errui Ding, Liang Wang:
An End-to-End Video Text Detector with Online Tracking. ICDAR 2019: 601-606 - [c139]Linjiang Huang, Yan Huang, Wanli Ouyang, Liang Wang:
Hierarchical Graph Convolutional Network for Skeleton-Based Action Recognition. ICIG (1) 2019: 93-102 - [c138]Yi-Fan Song, Zhang Zhang, Liang Wang:
Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons. ICIP 2019: 1-5 - [c137]Zerui Chen, Yan Huang, Liang Wang:
Augmented Visual-Semantic Embeddings for Image and Sentence Matching. ICIP 2019: 290-294 - [c136]Da Li, Dangwei Li, Zhang Zhang, Liang Wang, Tieniu Tan:
Unsupervised Cross-Domain Person Re-Identification: A New Framework. ICIP 2019: 1222-1226 - [c135]Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Semi-Supervised Compatibility Learning Across Categories for Clothing Matching. ICME 2019: 484-489 - [c134]Wu Zheng, Lin Li, Zhaoxiang Zhang, Yan Huang, Liang Wang:
Relational Network for Skeleton-Based Action Recognition. ICME 2019: 826-831 - [c133]Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan:
Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification. IJCAI 2019: 4532-4539 - [c132]Junbo Wang, Wei Wang, Zhiyong Wang, Liang Wang, Dagan Feng, Tieniu Tan:
Stacked Memory Network for Video Summarization. ACM Multimedia 2019: 836-844 - [c131]Qiang Cui, Yuyuan Tang, Shu Wu, Liang Wang:
Distance2Pre: Personalized Spatial Preference for Next Point-of-Interest Prediction. PAKDD (3) 2019: 289-301 - [c130]Hongyuan Yu, Yan Huang, Lihong Pi, Liang Wang:
Recurrent Deconvolutional Generative Adversarial Networks with Application to Video Generation. PRCV (2) 2019: 18-28 - [c129]Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang:
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. WWW 2019: 307-317 - [e12]Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang:
Pattern Recognition and Computer Vision - Second Chinese Conference, PRCV 2019, Xi'an, China, November 8-11, 2019, Proceedings, Part I. Lecture Notes in Computer Science 11857, Springer 2019, ISBN 978-3-030-31653-2 [contents] - [e11]Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang:
Pattern Recognition and Computer Vision - Second Chinese Conference, PRCV 2019, Xi'an, China, November 8-11, 2019, Proceedings, Part II. Lecture Notes in Computer Science 11858, Springer 2019, ISBN 978-3-030-31722-5 [contents] - [e10]Zhouchen Lin, Liang Wang, Jian Yang, Guangming Shi, Tieniu Tan, Nanning Zheng, Xilin Chen, Yanning Zhang:
Pattern Recognition and Computer Vision - Second Chinese Conference, PRCV 2019, Xi'an, China, November 8-11, 2019, Proceedings, Part III. Lecture Notes in Computer Science 11859, Springer 2019, ISBN 978-3-030-31725-6 [contents] - [i36]Jie Liang, Jufeng Yang, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Simultaneous Subspace Clustering and Cluster Number Estimating based on Triplet Relationship. CoRR abs/1901.07689 (2019) - [i35]Fenyu Hu, Yanqiao Zhu, Shu Wu, Liang Wang, Tieniu Tan:
Semi-supervised Node Classification via Hierarchical Graph Convolutional Networks. CoRR abs/1902.06667 (2019) - [i34]Zeyu Cui, Zekun Li, Shu Wu, Xiaoyu Zhang, Liang Wang:
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks. CoRR abs/1902.08009 (2019) - [i33]Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan:
An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition. CoRR abs/1902.09130 (2019) - [i32]Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang:
Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation. CoRR abs/1904.11693 (2019) - [i31]Yi-Fan Song, Zhang Zhang, Liang Wang:
Richly Activated Graph Convolutional Network for Action Recognition with Incomplete Skeletons. CoRR abs/1905.06774 (2019) - [i30]Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan:
Progressive Cluster Purification for Transductive Few-shot Learning. CoRR abs/1906.03847 (2019) - [i29]Kai Niu, Yan Huang, Wanli Ouyang, Liang Wang:
Improving Description-based Person Re-identification by Multi-granularity Image-text Alignments. CoRR abs/1906.09610 (2019) - [i28]Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Semi-supervised Compatibility Learning Across Categories for Clothing Matching. CoRR abs/1907.13304 (2019) - [i27]Chenglong Li, Yan Huang, Liang Wang, Jin Tang, Liang Lin:
Learning Compact Target-Oriented Feature Representations for Visual Tracking. CoRR abs/1908.01442 (2019) - [i26]Hongyuan Yu, Chengquan Zhang, Xuan Li, Junyu Han, Errui Ding, Liang Wang:
An End-to-end Video Text Detector with Online Tracking. CoRR abs/1908.07135 (2019) - [i25]Weiyu Guo, Jiabin Ma, Liang Wang, Yongzhen Huang:
Learning Efficient Convolutional Networks through Irregular Convolutional Kernels. CoRR abs/1909.13239 (2019) - [i24]Zekun Li, Zeyu Cui, Shu Wu, Xiaoyu Zhang, Liang Wang:
Fi-GNN: Modeling Feature Interactions via Graph Neural Networks for CTR Prediction. CoRR abs/1910.05552 (2019) - [i23]Shu Wu, Mengqi Zhang, Xin Jiang, Ke Xu, Liang Wang:
Personalizing Graph Neural Networks with Attention Mechanism for Session-based Recommendation. CoRR abs/1910.08887 (2019) - [i22]Fenyu Hu, Yanqiao Zhu, Shu Wu, Weiran Huang, Liang Wang, Tieniu Tan:
GraphAIR: Graph Representation Learning with Neighborhood Aggregation and Interaction. CoRR abs/1911.01731 (2019) - [i21]Qiang Liu, Shu Wu, Liang Wang:
Learning Preferences and Demands in Visual Recommendation. CoRR abs/1911.04229 (2019) - 2018
- [j77]Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal subspace learning for fine-grained sketch-based image retrieval. Neurocomputing 278: 75-86 (2018) - [j76]Yan Huang, Wei Wang, Liang Wang:
Video Super-Resolution via Bidirectional Recurrent Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 40(4): 1015-1028 (2018) - [j75]Dong Wang, Ran He, Liang Wang, Tieniu Tan:
Robust linear representation via exploiting structure prior. Pattern Recognit. 76: 560-568 (2018) - [j74]Hongsong Wang, Liang Wang:
Learning content and style: Joint action recognition and person identification from human skeletons. Pattern Recognit. 81: 23-35 (2018) - [j73]Yucan Zhou, Yongzhen Huang, Qinghua Hu, Liang Wang:
Kernel-Based Semantic Hashing for Gait Retrieval. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2742-2752 (2018) - [j72]Hongsong Wang, Liang Wang:
Cross-Agent Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2908-2919 (2018) - [j71]Jingyu Liu, Yongzhen Huang, Junran Peng, Jun Yao, Liang Wang:
Fast Object Detection at Constrained Energy. IEEE Trans. Emerg. Top. Comput. 6(3): 409-416 (2018) - [j70]Hongsong Wang, Liang Wang:
Beyond Joints: Learning Representations From Primitive Geometries for Skeleton-Based Action Recognition and Detection. IEEE Trans. Image Process. 27(9): 4382-4394 (2018) - [j69]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach. ACM Trans. Intell. Syst. Technol. 9(5): 50:1-50:20 (2018) - [j68]Jufeng Yang, Dongyu She, Ming Sun, Ming-Ming Cheng, Paul L. Rosin, Liang Wang:
Visual Sentiment Prediction Based on Automatic Discovery of Affective Regions. IEEE Trans. Multim. 20(9): 2513-2525 (2018) - [j67]Qiyue Yin, Shu Wu, Liang Wang:
Multiview Clustering via Unified and View-Specific Embeddings Learning. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5541-5553 (2018) - [c128]Chunshui Cao, Yongzhen Huang, Zilei Wang, Liang Wang, Ninglong Xu, Tieniu Tan:
Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection. AAAI 2018: 6690-6697 - [c127]Chenyang Si, Wei Wang, Liang Wang, Tieniu Tan:
Multistage Adversarial Losses for Pose-Based Human Image Synthesis. CVPR 2018: 118-126 - [c126]Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang:
Mask-Guided Contrastive Attention Model for Person Re-Identification. CVPR 2018: 1179-1188 - [c125]Yan Huang, Qi Wu, Chunfeng Song, Liang Wang:
Learning Semantic Concepts and Order for Image and Sentence Matching. CVPR 2018: 6163-6171 - [c124]Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan:
M3: Multimodal Memory Modelling for Video Captioning. CVPR 2018: 7512-7520 - [c123]Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan:
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning. ECCV (1) 2018: 106-121 - [c122]Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang, Liang Wang:
Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking. ECCV (13) 2018: 831-847 - [c121]Jiabin Ma, Weiyu Guo, Wei Wang, Liang Wang:
RotateConv: Making Asymmetric Convolutional Kernels Rotatable. ICPR 2018: 55-60 - [c120]Lin Li, Zhaoxiang Zhang, Yan Huang, Liang Wang:
Deep Temporal Feature Encoding for Action Recognition. ICPR 2018: 1109-1114 - [c119]Wenlong Cheng, Yan Huang, Liang Wang:
Towards Unconstrained Pointing Problem of Visual Question Answering: A Retrieval-based Method. ICPR 2018: 3303-3308 - [c118]Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan:
Hierarchical Memory Modelling for Video Captioning. ACM Multimedia 2018: 63-71 - [i20]Chenyang Si, Ya Jing, Wei Wang, Liang Wang, Tieniu Tan:
Skeleton-Based Action Recognition with Spatial Reasoning and Temporal Stack Learning. CoRR abs/1805.02335 (2018) - [i19]Lin Li, Wu Zheng, Zhaoxiang Zhang, Yan Huang, Liang Wang:
Skeleton-Based Relational Modeling for Action Recognition. CoRR abs/1805.02556 (2018) - [i18]Wei Wang, Jinjin Zhang, Chenyang Si, Liang Wang:
Pose-Based Two-Stream Relational Networks for Action Recognition in Videos. CoRR abs/1805.08484 (2018) - [i17]Ya Jing, Chenyang Si, Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan:
Cascade Attention Network for Person Search: Both Image and Text-Image Similarity Selection. CoRR abs/1809.08440 (2018) - [i16]Shu Wu, Yuyuan Tang, Yanqiao Zhu, Liang Wang, Xing Xie, Tieniu Tan:
Session-based Recommendation with Graph Neural Networks. CoRR abs/1811.00855 (2018) - 2017
- [b2]Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan:
Context-Aware Collaborative Prediction. Springer Briefs in Computer Science, Springer 2017, ISBN 978-981-10-5372-6, pp. 1-69 - [j66]Zifeng Wu, Yongzhen Huang, Liang Wang, Xiaogang Wang, Tieniu Tan:
A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs. IEEE Trans. Pattern Anal. Mach. Intell. 39(2): 209-226 (2017) - [j65]Qiyue Yin, Shu Wu, Liang Wang:
Unified subspace learning for incomplete and unlabeled multi-view data. Pattern Recognit. 67: 313-327 (2017) - [j64]Zhen Zhou, Yongzhen Huang, Liang Wang, Tieniu Tan:
Exploring generalized shape analysis by topological representations. Pattern Recognit. Lett. 87: 177-185 (2017) - [j63]Zhen Gao, Guoliang Lu, Peng Yan, Liang Wang:
Retrospective analysis of time series for frame selection in surveillance video summarization. Signal Image Video Process. 11(4): 581-588 (2017) - [j62]Kaihao Zhang, Yongzhen Huang, Yong Du, Liang Wang:
Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks. IEEE Trans. Image Process. 26(9): 4193-4203 (2017) - [j61]Yan Huang, Wei Wang, Liang Wang, Tieniu Tan:
Conditional High-Order Boltzmann Machines for Supervised Relation Learning. IEEE Trans. Image Process. 26(9): 4297-4310 (2017) - [j60]Qiang Liu, Shu Wu, Liang Wang:
Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model. IEEE Trans. Knowl. Data Eng. 29(6): 1254-1267 (2017) - [c117]Wei Tang, Gang Hua, Liang Wang:
How to Train a Compact Binary Neural Network with High Accuracy? AAAI 2017: 2625-2631 - [c116]Yuqi Zhang, Yongzhen Huang, Liang Wang:
Multi-task Deep Learning for Fast Online Multiple Object Tracking. ACPR 2017: 138-143 - [c115]Jiabin Ma, Wei Wang, Liang Wang:
Irregular Convolutional Neural Networks. ACPR 2017: 268-273 - [c114]Siwei Lyu, Ming-Ching Chang, Dawei Du, Longyin Wen, Honggang Qi, Yuezun Li, Yi Wei, Lipeng Ke, Tao Hu, Marco Del Coco, Pierluigi Carcagnì, Dmitriy Anisimov, Erik Bochinski, Fabio Galasso, Filiz Bunyak, Guang Han, Hao Ye, Hong Wang, Kannappan Palaniappan, Koray Ozcan, Li Wang, Liang Wang, Martin Lauer, Nattachai Watcharapinchai, Nenghui Song, Noor M. Al-Shakarji, Shuo Wang, Sikandar Amin, Sitapa Rujikietgumjorn, Tatiana Khanova, Thomas Sikora, Tino Kutschbach, Volker Eiselein, Wei Tian, Xiangyang Xue, Xiaoyi Yu, Yao Lu, Yingbin Zheng, Yongzhen Huang, Yuqi Zhang:
UA-DETRAC 2017: Report of AVSS2017 & IWT4S Challenge on Advanced Traffic Monitoring. AVSS 2017: 1-7 - [c113]Qiyue Yin, Yan Huang, Shu Wu, Liang Wang:
Learning Shared and Specific Factors for Multi-modal Data. CCCV (2) 2017: 89-98 - [c112]Tao Zhang, Wei Wang, Liang Wang, Qinghua Hu:
Relevance and Coherence Based Image Caption. CCCV (1) 2017: 258-269 - [c111]Junbo Wang, Wei Wang, Liang Wang, Tieniu Tan:
PreNet: Parallel Recurrent Neural Networks for Image Classification. CCCV (2) 2017: 461-473 - [c110]Hongsong Wang, Liang Wang:
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks. CVPR 2017: 3633-3642 - [c109]Xun Sun, Yuanfan Xie, Pei Luo, Liang Wang:
A Dataset for Benchmarking Image-Based Localization. CVPR 2017: 5641-5649 - [c108]Zhen Zhou, Yan Huang, Wei Wang, Liang Wang, Tieniu Tan:
See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification. CVPR 2017: 6776-6785 - [c107]Yan Huang, Wei Wang, Liang Wang:
Instance-Aware Image and Sentence Matching with Selective Multimodal LSTM. CVPR 2017: 7254-7262 - [c106]Jingyu Liu, Liang Wang, Ming-Hsuan Yang:
Referring Expression Generation and Comprehension via Attributes. ICCV 2017: 4866-4874 - [c105]Hongsong Wang, Liang Wang:
Learning robust representations using recurrent neural networks for skeleton based action classification and detection. ICME Workshops 2017: 591-596 - [c104]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
A Convolutional Approach for Misinformation Identification. IJCAI 2017: 3901-3907 - [c103]Qiang Liu, Shu Wu, Liang Wang:
DeepStyle: Learning User Preferences for Visual Recommendation. SIGIR 2017: 841-844 - [c102]Xiaohan Li, Shu Wu, Liang Wang:
Blood Pressure Prediction via Recurrent Models with Contextual Layer. WWW 2017: 685-693 - [e9]Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part I. Communications in Computer and Information Science 771, Springer 2017, ISBN 978-981-10-7298-7 [contents] - [e8]Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part II. Communications in Computer and Information Science 772, Springer 2017, ISBN 978-981-10-7301-4 [contents] - [e7]Jinfeng Yang, Qinghua Hu, Ming-Ming Cheng, Liang Wang, Qingshan Liu, Xiang Bai, Deyu Meng:
Computer Vision - Second CCF Chinese Conference, CCCV 2017, Tianjin, China, October 11-14, 2017, Proceedings, Part III. Communications in Computer and Information Science 773, Springer 2017, ISBN 978-981-10-7304-5 [contents] - [i15]Hongsong Wang, Liang Wang:
Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks. CoRR abs/1704.02581 (2017) - [i14]Peng Xu, Qiyue Yin, Yongye Huang, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Tao Xiang, W. Bastiaan Kleijn, Jun Guo:
Cross-modal Subspace Learning for Fine-grained Sketch-based Image Retrieval. CoRR abs/1705.09888 (2017) - [i13]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
Mining Significant Microblogs for Misinformation Identification: An Attention-based Approach. CoRR abs/1706.06314 (2017) - [i12]Jiabin Ma, Wei Wang, Liang Wang:
Irregular Convolutional Neural Networks. CoRR abs/1706.07966 (2017) - [i11]Yan Huang, Qi Wu, Liang Wang:
Learning Semantic Concepts and Order for Image and Sentence Matching. CoRR abs/1712.02036 (2017) - 2016
- [j59]Liang Wang, Ioannis Patras, Jian Zhang, Greg Mori, Larry Davis:
Special Issue on Individual and Group Activities in Video Event Analysis. Comput. Vis. Image Underst. 144: 1-2 (2016) - [j58]Fang Zhao, Yongzhen Huang, Liang Wang, Tao Xiang, Tieniu Tan:
Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding. Int. J. Comput. Vis. 119(3): 329-345 (2016) - [j57]Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan:
Personalized ranking with pairwise Factorization Machines. Neurocomputing 214: 191-200 (2016) - [j56]Kaiye Wang, Ran He, Liang Wang, Wei Wang, Tieniu Tan:
Joint Feature Selection and Subspace Learning for Cross-Modal Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 38(10): 2010-2023 (2016) - [j55]Shu Wu, Weiyu Guo, Song Xu, Yongzhen Huang, Liang Wang, Tieniu Tan:
Coupled Topic Model for Collaborative Filtering With User-Generated Content. IEEE Trans. Hum. Mach. Syst. 46(6): 908-920 (2016) - [j54]Yong Du, Yun Fu, Liang Wang:
Representation Learning of Temporal Dynamics for Skeleton-Based Action Recognition. IEEE Trans. Image Process. 25(7): 3010-3022 (2016) - [j53]Shu Wu, Qiang Liu, Liang Wang, Tieniu Tan:
Contextual Operation for Recommender Systems. IEEE Trans. Knowl. Data Eng. 28(8): 2000-2012 (2016) - [j52]Ran He, Liang Wang, Zhenan Sun, Yingya Zhang, Bo Li:
Information Theoretic Subspace Clustering. IEEE Trans. Neural Networks Learn. Syst. 27(12): 2643-2655 (2016) - [c101]Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts. AAAI 2016: 194-200 - [c100]Shu Wu, Qiang Liu, Ping Bai, Liang Wang, Tieniu Tan:
SAPE: A System for Situation-Aware Public Security Evaluation. AAAI 2016: 4401-4402 - [c99]Shu Wu, Qiang Liu, Yong Liu, Liang Wang, Tieniu Tan:
Information Credibility Evaluation on Social Media. AAAI 2016: 4403-4404 - [c98]Muhammad Rauf, Yongzhen Huang, Liang Wang:
Gait Retrieval: A Deep Hashing Method for People Retrieval in Video. CCPR (1) 2016: 383-391 - [c97]Peng Xu, Qiyue Yin, Yonggang Qi, Yi-Zhe Song, Zhanyu Ma, Liang Wang, Jun Guo:
Instance-Level Coupled Subspace Learning for Fine-Grained Sketch-Based Image Retrieval. ECCV Workshops (1) 2016: 19-34 - [c96]Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang:
Context-Aware Sequential Recommendation. ICDM 2016: 1053-1058 - [c95]Yuqi Zhang, Yongzhen Huang, Liang Wang:
What makes for good multiple object trackers? DSP 2016: 467-471 - [c94]Muhammad Rauf, Chunfeng Song, Yongzhen Huang, Liang Wang, Ning Jia:
Knowledge transfer between networks and its application on gait recognition. DSP 2016: 492-496 - [c93]Hongsong Wang, Wei Wang, Liang Wang:
How scenes imply actions in realistic videos? ICIP 2016: 1619-1623 - [c92]Kaihao Zhang, Yongzhen Huang, Ran He, Hong Wu, Liang Wang:
Localize heavily occluded human faces via deep segmentation. ICIP 2016: 2311-2315 - [c91]Peng Xu, Ke Li, Zhanyu Ma, Yi-Zhe Song, Liang Wang, Jun Guo:
Cross-modal subspace learning for sketch-based image retrieval: A comparative study. IC-NIDC 2016: 500-504 - [c90]Shuxuan Guo, Li Liu, Wei Wang, Songyang Lao, Liang Wang:
An attention model based on spatial transformers for scene recognition. ICPR 2016: 3757-3762 - [c89]Feng Yu, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan:
A Dynamic Recurrent Model for Next Basket Recommendation. SIGIR 2016: 729-732 - [i10]Kaiye Wang, Qiyue Yin, Wei Wang, Shu Wu, Liang Wang:
A Comprehensive Survey on Cross-modal Retrieval. CoRR abs/1607.06215 (2016) - [i9]Qiang Liu, Shu Wu, Liang Wang:
Multi-behavioral Sequential Prediction for Collaborative Filtering. CoRR abs/1608.07102 (2016) - [i8]Qiang Liu, Shu Wu, Diyi Wang, Zhaokang Li, Liang Wang:
Context-aware Sequential Recommendation. CoRR abs/1609.05787 (2016) - [i7]Qiang Liu, Shu Wu, Feng Yu, Liang Wang, Tieniu Tan:
ICE: Information Credibility Evaluation on Social Media via Representation Learning. CoRR abs/1609.09226 (2016) - [i6]Yan Huang, Wei Wang, Liang Wang:
Instance-aware Image and Sentence Matching with Selective Multimodal LSTM. CoRR abs/1611.05588 (2016) - [i5]Junbo Wang, Wei Wang, Yan Huang, Liang Wang, Tieniu Tan:
Multimodal Memory Modelling for Video Captioning. CoRR abs/1611.05592 (2016) - [i4]Qiang Cui, Shu Wu, Qiang Liu, Liang Wang:
A Visual and Textual Recurrent Neural Network for Sequential Prediction. CoRR abs/1611.06668 (2016) - 2015
- [j51]Qiyue Yin, Shu Wu, Ran He, Liang Wang:
Multi-view clustering via pairwise sparse subspace representation. Neurocomputing 156: 12-21 (2015) - [j50]Zhaoyang Fu, Peng Zhang, Wei Huang, Liang Wang, Sabu Emmanuel, Guang Chen:
Empirical mode decomposition based blind audio watermarking. Multim. Tools Appl. 74(15): 6019-6040 (2015) - [j49]Muhammad Salman Khan, Miao Yu, Pengming Feng, Liang Wang, Jonathon A. Chambers:
An unsupervised acoustic fall detection system using source separation for sound interference suppression. Signal Process. 110: 199-210 (2015) - [j48]Peng Zhang, Liang Wang, Wei Huang, Lei Xie, Guang Chen:
Multiple pedestrian tracking based on couple-states Markov chain with semantic topic learning for video surveillance. Soft Comput. 19(1): 85-97 (2015) - [j47]Ran He, Man Zhang, Liang Wang, Ye Ji, Qiyue Yin:
Cross-Modal Subspace Learning via Pairwise Constraints. IEEE Trans. Image Process. 24(12): 5543-5556 (2015) - [j46]Yan Huang, Wei Wang, Liang Wang:
Unconstrained Multimodal Multi-Label Learning. IEEE Trans. Multim. 17(11): 1923-1935 (2015) - [j45]Zifeng Wu, Yongzhen Huang, Liang Wang:
Learning Representative Deep Features for Image Set Analysis. IEEE Trans. Multim. 17(11): 1960-1968 (2015) - [c88]Qiang Liu, Shu Wu, Liang Wang:
COT: Contextual Operating Tensor for Context-Aware Recommender Systems. AAAI 2015: 203-209 - [c87]Chunfeng Song, Yongzhen Huang, Zhenyu Wang, Liang Wang:
1000fps human segmentation with deep convolutional neural networks. ACPR 2015: 474-478 - [c86]Kaihao Zhang, Yongzhen Huang, Hong Wu, Liang Wang:
Facial smile detection based on deep learning features. ACPR 2015: 534-538 - [c85]Dong Wang, Ran He, Liang Wang, Tieniu Tan:
Adaptive multi-view clustering via cross trace lasso. ACPR 2015: 559-563 - [c84]Hongsong Wang, Wei Wang, Liang Wang:
Hierarchical motion evolution for action recognition. ACPR 2015: 574-578 - [c83]Yong Du, Yun Fu, Liang Wang:
Skeleton based action recognition with convolutional neural network. ACPR 2015: 579-583 - [c82]Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan:
Multiple Attribute Aware Personalized Ranking. APWeb 2015: 244-255 - [c81]Qiyue Yin, Shu Wu, Liang Wang:
Learning to Hash for Recommendation with Tensor Data. APWeb 2015: 292-303 - [c80]Kaihao Zhang, Yongzhen Huang, Chunfeng Song, Hong Wu, Liang Wang:
Kinship Verification with Deep Convolutional Neural Networks. BMVC 2015: 148.1-148.12 - [c79]Wei Tang, Yongzhen Huang, Liang Wang:
1000 Fps Highly Accurate Eye Detection with Stacked Denoising Autoencoder. CCCV (2) 2015: 237-246 - [c78]Qiyue Yin, Shu Wu, Liang Wang:
Incomplete Multi-view Clustering via Subspace Learning. CIKM 2015: 383-392 - [c77]Qiang Liu, Shu Wu, Liang Wang:
Collaborative Prediction for Multi-entity Interaction With Hierarchical Representation. CIKM 2015: 613-622 - [c76]Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan:
Social-Relational Topic Model for Social Networks. CIKM 2015: 1731-1734 - [c75]Qiang Liu, Feng Yu, Shu Wu, Liang Wang:
A Convolutional Click Prediction Model. CIKM 2015: 1743-1746 - [c74]Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan:
Multi-view Clustering via Structured Low-rank Representation. CIKM 2015: 1911-1914 - [c73]Yong Du, Wei Wang, Liang Wang:
Hierarchical recurrent neural network for skeleton based action recognition. CVPR 2015: 1110-1118 - [c72]Fang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan:
Deep semantic ranking based hashing for multi-label image retrieval. CVPR 2015: 1556-1564 - [c71]Zhuoyuan Chen, Xun Sun, Liang Wang, Yinan Yu, Chang Huang:
A Deep Visual Correspondence Embedding Model for Stereo Matching Costs. ICCV 2015: 972-980 - [c70]Chunshui Cao, Xianming Liu, Yi Yang, Yinan Yu, Jiang Wang, Zilei Wang, Yongzhen Huang, Liang Wang, Chang Huang, Wei Xu, Deva Ramanan, Thomas S. Huang:
Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks. ICCV 2015: 2956-2964 - [c69]Yan Huang, Wei Wang, Liang Wang:
Conditional High-Order Boltzmann Machine: A Supervised Learning Model for Relation Learning. ICCV 2015: 4265-4273 - [c68]Jingyu Liu, Yongzhen Huang, Xiaojiang Peng, Liang Wang:
Multi-view descriptor mining via codeword net for action recognition. ICIP 2015: 793-797 - [c67]Yuqi Zhang, Wei Wang, Liang Wang, Liuan Wang:
Scene text recognition with deeper convolutional neural networks. ICIP 2015: 2384-2388 - [c66]Kaiye Wang, Wei Wang, Liang Wang:
Learning unified sparse representations for multi-modal data. ICIP 2015: 3545-3549 - [c65]Qiyue Yin, Shu Wu, Liang Wang:
Partially tagged image clustering. ICIP 2015: 4012-4016 - [c64]Kaiye Wang, Wei Wang, Liang Wang, Ran He:
A Two-step Approach to Cross-modal Hashing. ICMR 2015: 459-462 - [c63]Yan Huang, Wei Wang, Liang Wang:
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution. NIPS 2015: 235-243 - [c62]Song Xu, Shu Wu, Liang Wang:
Personalized Semantic Ranking for Collaborative Recommendation. SIGIR 2015: 971-974 - [c61]Weiyu Guo, Shu Wu, Liang Wang, Tieniu Tan:
Adaptive Pairwise Learning for Personalized Ranking with Content and Implicit Feedback. WI-IAT (1) 2015: 369-376 - [e6]Hongbin Zha, Xilin Chen, Liang Wang, Qiguang Miao:
Computer Vision - CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part I. Communications in Computer and Information Science 546, Springer 2015, ISBN 978-3-662-48557-6 [contents] - [e5]Hongbin Zha, Xilin Chen, Liang Wang, Qiguang Miao:
Computer Vision - CCF Chinese Conference, CCCV 2015, Xi'an, China, September 18-20, 2015, Proceedings, Part II. Communications in Computer and Information Science 547, Springer 2015, ISBN 978-3-662-48569-9 [contents] - [i3]Wenjuan Gong, Yongzhen Huang, Jordi Gonzàlez, Liang Wang:
Enhanced Mixtures of Part Model for Human Pose Estimation. CoRR abs/1501.05382 (2015) - [i2]Fang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan:
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval. CoRR abs/1501.06272 (2015) - 2014
- [b1]Ran He, Bao-Gang Hu, Xiaotong Yuan, Liang Wang:
Robust Recognition via Information Theoretic Learning. Springer Briefs in Computer Science, Springer 2014, ISBN 978-3-319-07415-3, pp. 1-102 - [j44]Chunfeng Song, Yongzhen Huang, Feng Liu, Zhenyu Wang, Liang Wang:
Deep auto-encoder based clustering. Intell. Data Anal. 18(Supplement): S65-S76 (2014) - [j43]Yongzhen Huang, Zifeng Wu, Liang Wang, Chunfeng Song:
Multiple spatial pooling for visual object recognition. Neurocomputing 129: 225-231 (2014) - [j42]Zhen Zhou, Li Zhong, Liang Wang:
Locally incremental visual cluster analysis using Markov random field. Neurocomputing 136: 49-55 (2014) - [j41]Feng Liu, Yongzhen Huang, Liang Wang, Wankou Yang, Changyin Sun:
Spatial modeling via feature co-pooling and SG grafting. Neurocomputing 139: 415-422 (2014) - [j40]Jingyu Liu, Yongzhen Huang, Liang Wang, Shu Wu:
Hierarchical feature coding for image classification. Neurocomputing 144: 509-515 (2014) - [j39]Yongzhen Huang, Zifeng Wu, Liang Wang, Tieniu Tan:
Feature Coding in Image Classification: A Comprehensive Study. IEEE Trans. Pattern Anal. Mach. Intell. 36(3): 493-506 (2014) - [j38]Ran He, Tieniu Tan, Liang Wang:
Robust Recovery of Corrupted Low-RankMatrix by Implicit Regularizers. IEEE Trans. Pattern Anal. Mach. Intell. 36(4): 770-783 (2014) - [j37]Liang Wang, Chuan Li:
Spectrum-Based Kernel Length Estimation for Gaussian Process Classification. IEEE Trans. Cybern. 44(6): 805-816 (2014) - [j36]Worapan Kusakunniran, Qiang Wu, Jian Zhang, Hongdong Li, Liang Wang:
Recognizing Gaits Across Views Through Correlated Motion Co-Clustering. IEEE Trans. Image Process. 23(2): 696-709 (2014) - [c60]Muhammad Rauf, Yongzhen Huang, Liang Wang:
Encoding Optimization Using Nearest Neighbor Descriptor. CCPR (2) 2014: 81-88 - [c59]Wei Wang, Yan Huang, Yizhou Wang, Liang Wang:
Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction. CVPR Workshops 2014: 496-503 - [c58]Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan:
Semi-supervised subspace segmentation. ICIP 2014: 2854-2858 - [c57]Yan Huang, Wei Wang, Liang Wang, Tieniu Tan:
A General Nonlinear Embedding Framework Based on Deep Neural Network. ICPR 2014: 732-737 - [c56]Baoxing Wang, Qiyue Yin, Shu Wu, Liang Wang, Guiquan Liu:
Discriminative Representative Selection via Structure Sparsity. ICPR 2014: 1401-1406 - [c55]Peihao Huang, Yan Huang, Wei Wang, Liang Wang:
Deep Embedding Network for Clustering. ICPR 2014: 1532-1537 - [c54]Zifeng Wu, Yongzhen Huang, Yinan Yu, Liang Wang, Tieniu Tan:
Early Hierarchical Contexts Learned by Convolutional Networks for Image Segmentation. ICPR 2014: 1538-1543 - [i1]Ran He, Man Zhang, Liang Wang, Ye Ji, Qiyue Yin:
Cross-Modal Learning via Pairwise Constraints. CoRR abs/1411.7798 (2014) - 2013
- [j35]Xiaozhe Wang, Liang Wang, Leo Lopes:
Unsupervised categorization of human motion sequences. Intell. Data Anal. 17(6): 1057-1074 (2013) - [j34]Matti Pietikäinen, Matthew A. Turk, Liang Wang, Guoying Zhao, Li Cheng:
Machine learning in motion analysis: New advances. Image Vis. Comput. 31(6-7): 419-420 (2013) - [j33]Huiyu Zhou, Jianguo Zhang, Liang Wang, Zhengyou Zhang, Lisa M. Brown:
"Pattern Recognition" special issue: Sparse representation for event recognition in video surveillance. Pattern Recognit. 46(7): 1748-1749 (2013) - [j32]Noboru Babaguchi, Andrea Cavallaro, Rama Chellappa, Frédéric Dufaux, Liang Wang:
Guest Editorial: Special issue on intelligent video surveillance for public security and personal privacy. IEEE Trans. Inf. Forensics Secur. 8(10): 1559-1561 (2013) - [j31]Miao Yu, Yuanzhang Yu, Adel Rhuma, Syed Mohsen Naqvi, Liang Wang, Jonathon A. Chambers:
An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment. IEEE J. Biomed. Health Informatics 17(6): 1002-1014 (2013) - [c53]Kaiye Wang, Wei Wang, Ran He, Liang Wang, Tieniu Tan:
Multi-modal Subspace Learning with Joint Graph Regularization for Cross-Modal Retrieval. ACPR 2013: 236-240 - [c52]Chunfeng Song, Feng Liu, Yongzhen Huang, Liang Wang, Tieniu Tan:
Auto-encoder Based Data Clustering. CIARP (1) 2013: 117-124 - [c51]Kaiye Wang, Ran He, Wei Wang, Liang Wang, Tieniu Tan:
Learning Coupled Feature Spaces for Cross-Modal Matching. ICCV 2013: 2088-2095 - [c50]Fang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan:
Discovering compact topical descriptors for web video retrieval. ICIP 2013: 2679-2683 - [c49]Yan Huang, Wei Wang, Liang Wang, Tieniu Tan:
Multi-task deep neural network for multi-label learning. ICIP 2013: 2897-2900 - [c48]Zhen Zhou, Yongzhen Huang, Liang Wang, Tieniu Tan:
Depth-embedded multiple pooling for image classification. ICIP 2013: 4335-4339 - [c47]Feng Liu, Yongzhen Huang, Liang Wang, Wankou Yang:
Boosting Deformable Part Model by Sample Sharing and Outlier Ablation. IScIDE 2013: 418-426 - [c46]Yu Xia, Yongzhen Huang, Liang Wang, Xin Geng:
Pedestrian Detection Based on Incremental Learning. IScIDE 2013: 603-610 - [c45]Fang Zhao, Yongzhen Huang, Liang Wang, Tieniu Tan:
Relevance Topic Model for Unstructured Social Group Activity Recognition. NIPS 2013: 2580-2588 - 2012
- [j30]Jordi Gonzàlez, Thomas B. Moeslund, Liang Wang:
Semantic Understanding of Human Behaviors in Image Sequences: From video-surveillance to video-hermeneutics. Comput. Vis. Image Underst. 116(3): 305-306 (2012) - [j29]Liang Wang, Christopher Leckie:
Improved Gaussian process classification via feature space rotation. Neurocomputing 83: 89-97 (2012) - [j28]Yi-Zhe Song, Chuan Li, Liang Wang, Peter M. Hall, Peiyi Shen:
Robust visual tracking using structural region hierarchy and graph matching. Neurocomputing 89: 12-20 (2012) - [j27]Chen Wang, Junping Zhang, Liang Wang, Jian Pu, Xiaoru Yuan:
Human Identification Using Temporal Information Preserving Gait Template. IEEE Trans. Pattern Anal. Mach. Intell. 34(11): 2164-2176 (2012) - [j26]Miao Yu, Adel Rhuma, Syed Mohsen Naqvi, Liang Wang, Jonathon A. Chambers:
A Posture Recognition-Based Fall Detection System for Monitoring an Elderly Person in a Smart Home Environment. IEEE Trans. Inf. Technol. Biomed. 16(6): 1274-1286 (2012) - [c44]Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan:
Contextual Pooling in Image Classification. ACCV (1) 2012: 704-715 - [c43]Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan:
Spatial Graph for Image Classification. ACCV (1) 2012: 716-729 - [c42]Shiqi Yu, Shengyin Wu, Liang Wang:
SLTP: A Fast Descriptor for People Detection in Depth Images. AVSS 2012: 43-47 - [c41]Dong Wang, Zhang Zhang, Wei Wang, Liang Wang, Tieniu Tan:
Baseline Results for Violence Detection in Still Images. AVSS 2012: 54-57 - [c40]Kaiye Wang, Zhang Zhang, Liang Wang:
Violence Video Detection by Discriminative Slow Feature Analysis. CCPR 2012: 137-144 - [c39]Qiyue Yin, Rong Sun, Liang Wang, Ran He:
Structure Sparsity for Multi-camera Gait Recognition. CCPR 2012: 259-267 - [c38]Zhen Zhou, Wei Wang, Liang Wang:
Community Detection Based on an Improved Modularity. CCPR 2012: 638-645 - [c37]Ran He, Tieniu Tan, Liang Wang, Wei-Shi Zheng:
l2, 1 Regularized correntropy for robust feature selection. CVPR 2012: 2504-2511 - [c36]Yongming Chen, Liang Wang, Wei Wang, Zhang Zhang:
Continuum regression for cross-modal multimedia retrieval. ICIP 2012: 1949-1952 - [c35]Yan Huang, Wei Wang, Liang Wang, Tieniu Tan:
An effective regional saliency model based on extended site entropy rate. ICPR 2012: 1407-1410 - [c34]Zifeng Wu, Yongzhen Huang, Liang Wang, Tieniu Tan:
Group encoding of local features in image classification. ICPR 2012: 1505-1508 - [c33]Yushu Liu, Junping Zhang, Chen Wang, Liang Wang:
Multiple HOG templates for gait recognition. ICPR 2012: 2930-2933 - [e4]Cheng-Lin Liu, Changshui Zhang, Liang Wang:
Pattern Recognition - Chinese Conference, CCPR 2012, Beijing, China, September 24-26, 2012. Proceedings. Communications in Computer and Information Science 321, Springer 2012, ISBN 978-3-642-33505-1 [contents] - 2011
- [j25]Hanxuan Yang, Ling Shao, Feng Zheng, Liang Wang, Zhan Song:
Recent advances and trends in visual tracking: A review. Neurocomputing 74(18): 3823-3831 (2011) - [j24]Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
Approximate pairwise clustering for large data sets via sampling plus extension. Pattern Recognit. 44(2): 222-235 (2011) - [j23]Ben Tan, Junping Zhang, Liang Wang:
Semi-supervised Elastic net for pedestrian counting. Pattern Recognit. 44(10-11): 2297-2304 (2011) - [j22]Ling Shao, Hui Zhang, Liang Wang, Lijun Wang:
Repairing imperfect video enhancement algorithms using classification-based trained filters. Signal Image Video Process. 5(3): 307-313 (2011) - [j21]Yi-Zhe Song, Xiao Bai, Peter M. Hall, Liang Wang:
In Search of Perceptually Salient Groupings. IEEE Trans. Image Process. 20(4): 935-947 (2011) - [j20]Li Wang, Li Cheng, Liang Wang:
Elastic Sequence Correlation for Human Action Analysis. IEEE Trans. Image Process. 20(6): 1725-1738 (2011) - [j19]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang:
Face Image Modeling by Multilinear Subspace Analysis With Missing Values. IEEE Trans. Syst. Man Cybern. Part B 41(3): 881-892 (2011) - [c32]Vasileios Mezaris, Ansgar Scherp, Ramesh C. Jain, Mohan S. Kankanhalli, Huiyu Zhou, Jianguo Zhang, Liang Wang, Zhengyou Zhang:
Modeling and representing events in multimedia. ACM Multimedia 2011: 613-614 - 2010
- [j18]Xin Geng, Kate Smith-Miles, Liang Wang, Ming Li, Qiang Wu:
Context-aware fusion: A case study on fusion of gait and face for human identification in video. Pattern Recognit. 43(10): 3660-3673 (2010) - [j17]Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. IEEE Trans. Knowl. Data Eng. 22(10): 1401-1414 (2010) - [j16]Liang Wang, Guoying Zhao, Nasir M. Rajpoot, Mark S. Nixon:
Special Issue on New Advances in Video-Based Gait Analysis and Applications: Challenges and Solutions. IEEE Trans. Syst. Man Cybern. Part B 40(4): 982-985 (2010) - [c31]Chen Wang, Junping Zhang, Jian Pu, Xiaoru Yuan, Liang Wang:
Chrono-Gait Image: A Novel Temporal Template for Gait Recognition. ECCV (1) 2010: 257-270 - [c30]Liang Wang, Sabu Emmanuel, Mohan S. Kankanhalli:
EMD and psychoacoustic model based watermarking for audio. ICME 2010: 1427-1432 - [c29]Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao:
Combining Real and Virtual Graphs to Enhance Data Clustering. ICPR 2010: 790-793 - [c28]Liang Wang, Christopher Leckie:
Encoding Actions via Quantized Vocabulary of Averaged Silhouettes. ICPR 2010: 3657-3660 - [c27]Hao Qu, Liang Wang, Christopher Leckie:
Action Recognition Using Space-Time Shape Difference Images. ICPR 2010: 3661-3664 - [c26]Liang Wang, Uyen T. V. Nguyen, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment. PAKDD (1) 2010: 16-27 - [e3]Liang Wang, Li Cheng, Guoying Zhao:
Machine Learning for Human Motion Analysis - Theory and Practice. IGI Global 2010, ISBN 978-1-60566-900-7 [contents] - [e2]Anastasios D. Doulamis, Jordi Gonzàlez, Marco Bertini, Luc Van Gool, Nikolaos F. Matsatsinis, Thomas B. Moeslund, Mark S. Nixon, Liang Wang:
Proceedings of the first ACM international workshop on Analysis and retrieval of tracked events and motion in imagery streams, ARTEMIS@ACM Multimedia 2010, Firenze, Italy, October 29, 2010. ACM 2010, ISBN 978-1-4503-0163-3 [contents] - [e1]Dan Schonfeld, Caifeng Shan, Dacheng Tao, Liang Wang:
Video Search and Mining. Studies in Computational Intelligence 287, Springer 2010, ISBN 978-3-642-12899-8 [contents]
2000 – 2009
- 2009
- [j15]Liang Wang, Qiang Wu, Ming Li, Jordi Gonzàlez, Xin Geng:
Editorial. Int. J. Pattern Recognit. Artif. Intell. 23(7): 1221-1222 (2009) - [j14]Liang Lin, Haifeng Gong, Li Li, Liang Wang:
Semantic event representation and recognition using syntactic attribute graph grammar. Pattern Recognit. Lett. 30(2): 180-186 (2009) - [j13]Liang Wang, Qiang Wu, Hanzi Wang, Xin Geng, Ming Li:
Image/video-based pattern analysis and HCI applications. Pattern Recognit. Lett. 30(12): 1047 (2009) - [j12]Hang Zhou, Liang Wang, David Suter:
Human action recognition by feature-reduced Gaussian process classification. Pattern Recognit. Lett. 30(12): 1059-1066 (2009) - [j11]Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
Automatically Determining the Number of Clusters in Unlabeled Data Sets. IEEE Trans. Knowl. Data Eng. 21(3): 335-350 (2009) - [c25]Binbin Liao, Lian-dong Liu, Liang Wang, Hui Zhang, Ke Xu:
A hierarchy and probability-based approach for inferring AS relationships. AINTEC 2009: 11-18 - [c24]Uyen T. V. Nguyen, Laurence Anthony F. Park, Liang Wang, Kotagiri Ramamohanarao:
A Novel Path-Based Clustering Algorithm Using Multi-dimensional Scaling. Australasian Conference on Artificial Intelligence 2009: 280-290 - [c23]Xin Geng, Kate Smith-Miles, Zhi-Hua Zhou, Liang Wang:
Face image modeling by multilinear subspace analysis with missing values. ACM Multimedia 2009: 629-632 - [c22]Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek:
Approximate Spectral Clustering. PAKDD 2009: 134-146 - [c21]Liang Wang, Hang Zhou, Sui-Chien Low, Christopher Leckie:
Action recognition via multi-feature fusion and Gaussian process classification. WACV 2009: 1-6 - 2008
- [j10]Liang Wang, David Suter:
Visual learning and recognition of sequential data manifolds with applications to human movement analysis. Comput. Vis. Image Underst. 110(2): 153-172 (2008) - [j9]Liang Wang, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
Selective sampling for approximate clustering of very large data sets. Int. J. Intell. Syst. 23(3): 313-331 (2008) - [c20]Liang Wang, Xin Geng, Christopher Leckie, Kotagiri Ramamohanarao:
Moving shape dynamics: A signal processing perspective. CVPR 2008 - [c19]Xiaozhe Wang, Liang Wang, Anthony Wirth:
Pattern discovery in motion time series via structure-based spectral clustering. CVPR 2008 - [c18]Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao:
SpecVAT: Enhanced Visual Cluster Analysis. ICDM 2008: 638-647 - [c17]Joanna Cheng, Liang Wang, Christopher Leckie:
Dual clustering for categorization of action sequences. ICPR 2008: 1-4 - [c16]Hang Zhou, Liang Wang, David Suter:
Human motion recognition using Gaussian Processes classification. ICPR 2008: 1-4 - [c15]Liang Wang, Xiaozhe Wang, Christopher Leckie, Kotagiri Ramamohanarao:
Characteristic-Based Descriptors for Motion Sequence Recognition. PAKDD 2008: 369-380 - [c14]Xin Geng, Liang Wang, Ming Li, Qiang Wu, Kate Smith-Miles:
Adaptive Fusion of Gait and Face for Human Identification in Video. WACV 2008: 1-6 - 2007
- [j8]Liang Wang, David Suter:
Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition. IEEE Trans. Image Process. 16(6): 1646-1661 (2007) - [c13]Liang Wang, David Suter:
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model. CVPR 2007 - [c12]Liang Wang, Christopher Leckie, Xiaozhe Wang, Kotagiri Ramamohanarao, James C. Bezdek:
Tensor Space Learning for Analyzing Activity Patterns from Video Sequences. ICDM Workshops 2007: 63-68 - [c11]Xiaozhe Wang, Anthony Wirth, Liang Wang:
Structure-Based Statistical Features and Multivariate Time Series Clustering. ICDM 2007: 351-360 - [c10]Tat-Jun Chin, Liang Wang, Konrad Schindler, David Suter:
Extrapolating Learned Manifolds for Human Activity Recognition. ICIP (1) 2007: 381-384 - 2006
- [c9]Liang Wang, David Suter:
Analyzing Human Movements from Silhouettes Using Manifold Learning. AVSS 2006: 7 - [c8]Liang Wang:
Abnormal Walking Gait Analysis Using Silhouette-Masked Flow Histograms. ICPR (3) 2006: 473-476 - [c7]Liang Wang:
From Blob Metrics to Posture Classification to Activity Profiling. ICPR (4) 2006: 736-739 - [c6]Liang Wang, David Suter:
Informative Shape Representations for Human Action Recognition. ICPR (2) 2006: 1266-1269 - 2004
- [j7]Huazhong Ning, Tieniu Tan, Liang Wang, Weiming Hu:
Kinematics-based tracking of human walking in monocular video sequences. Image Vis. Comput. 22(5): 429-441 (2004) - [j6]Huazhong Ning, Tieniu Tan, Liang Wang, Weiming Hu:
People tracking based on motion model and motion constraints with automatic initialization. Pattern Recognit. 37(7): 1423-1440 (2004) - [j5]Liang Wang, Huazhong Ning, Tieniu Tan, Weiming Hu:
Fusion of static and dynamic body biometrics for gait recognition. IEEE Trans. Circuits Syst. Video Technol. 14(2): 149-158 (2004) - [j4]Weiming Hu, Tieniu Tan, Liang Wang, Stephen J. Maybank:
A survey on visual surveillance of object motion and behaviors. IEEE Trans. Syst. Man Cybern. Part C 34(3): 334-352 (2004) - [c5]Shiqi Yu, Liang Wang, Weiming Hu, Tieniu Tan:
Gait analysis for human identification in frequency domain. ICIG 2004: 282-285 - 2003
- [j3]Liang Wang, Tieniu Tan, Huazhong Ning, Weiming Hu:
Silhouette Analysis-Based Gait Recognition for Human Identification. IEEE Trans. Pattern Anal. Mach. Intell. 25(12): 1505-1518 (2003) - [j2]Liang Wang, Weiming Hu, Tieniu Tan:
Recent developments in human motion analysis. Pattern Recognit. 36(3): 585-601 (2003) - [j1]Liang Wang, Tieniu Tan, Weiming Hu, Huazhong Ning:
Automatic gait recognition based on statistical shape analysis. IEEE Trans. Image Process. 12(9): 1120-1131 (2003) - [c4]Liang Wang, Huazhong Ning, Tieniu Tan, Weiming Hu:
Fusion of Static and Dynamic Body Biometrics for Gait Recognition. ICCV 2003: 1449-1454 - 2002
- [c3]Liang Wang, Huazhong Ning, Weiming Hu, Tieniu Tan:
Gait recognition based on Procrustes shape analysis. ICIP (3) 2002: 433-436 - [c2]Huazhong Ning, Liang Wang, Weiming Hu, Tieniu Tan:
Articulated Model Based People Tracking Using Motion Models. ICMI 2002: 383-388 - [c1]Liang Wang, Weiming Hu, Tieniu Tan:
A New Attempt to Gait-based Human Identification. ICPR (1) 2002: 115-118
Coauthor Index
[j180] [j179] [j177] [j176] [j174] [j173] [j172] [j171] [c272] [c271] [c269] [i165] [i160] [j164] [j162] [j159] [j155] [j151] [j144] [j139] [c241] [c240] [i153] [i151] [i141] [i139] [i138] [i137] [i131] [j138] [j134] [j133] [j130] [j126] [c229] [c228] [c216] [c212] [c210] [c207] [c205] [c203] [i120] [i118] [i107] [i97] [i96] [i95] [i91] [j122] [j121] [j119] [j118] [j113] [j110] [c189] [c184] [c183] [c179] [c178] [i75] [i74] [i71] [i69] [i68] [j104] [j103] [j101] [j100] [j93] [c173] [c172] [c165] [c164] [c161] [c160] [c159] [c157] [c156] [c155] [i49] [i44] [i40] [i37] [j88] [j87] [j84] [j81] [c151] [c149] [c146] [c144] [c143] [c142] [c141] [c139] [c137] [c134] [c130] [i32] [i29] [i27] [j76] [c126] [c125] [c124] [c122] [c120] [c119] [c118] [i19] [j61] [c113] [c108] [c107] [i11] [i6] [i5] [j46] [c69] [c63] [c59] [c57] [c55] [c49] [c35]
[c269] [j156] [c254] [c241] [i138] [j137] [c215] [c187] [j97] [j86] [j83] [j81] [i25] [j73] [j71] [c128] [j66] [j64] [j62] [c116] [c114] [j58] [j55] [c98] [c95] [c94] [c92] [j45] [c87] [c86] [c80] [c79] [c72] [c70] [c68] [i3] [i2] [j44] [j43] [j41] [j40] [j39] [c60] [c54] [c52] [c50] [c48] [c47] [c46] [c45] [c44] [c43] [c34]
[j178] [j170] [j169] [j168] [j167] [j165] [c278] [c276] [c275] [c274] [c273] [c267] [c263] [c262] [c261] [c260] [i190] [i189] [i187] [i186] [i185] [i184] [i180] [i179] [i177] [i174] [i173] [i168] [i164] [i163] [i162] [j160] [j142] [j141] [j140] [c259] [c258] [c255] [c251] [c239] [c236] [c231] [i150] [i147] [i140] [i136] [i134] [i132] [i130] [i129] [c226] [c225] [c222] [c218] [c211] [c197] [i123] [i110] [i98] [j108] [c192] [c180] [c174] [i87] [i83] [i79] [i77] [i61] [i60] [j92] [c168] [c154] [c153] [i55] [i54] [i53] [i48] [i42] [i41] [j89] [i21] [j69] [b2] [j60] [c104] [c103] [i13] [j53] [c101] [c100] [c99] [c96] [c89] [i9] [i8] [i7] [i4] [c88] [c77] [c75]
[j187] [c274] [i187] [i181] [i180] [i161] [j162] [j161] [j152] [j146] [c252] [c250] [c238] [i157] [i153] [i152] [i148] [i139] [i133] [i126] [i124] [j136] [c229] [c228] [c225] [c217] [c211] [i120] [i118] [i102] [i91] [i90] [j120] [j118] [j112] [j106] [c190] [c189] [c183] [c182] [c179] [e16] [e15] [e14] [e13] [i86] [i82] [i81] [i80] [i74] [i73] [i69] [i68] [j102] [j99] [j98] [j96] [j95] [c171] [c167] [c166] [c165] [c159] [c156] [c154] [c153] [i55] [i53] [i51] [i44] [i37] [j89] [j86] [j85] [j82] [c152] [c150] [c145] [c136] [c133] [c132] [e12] [e11] [e10] [i35] [i33] [i30] [i22] [j75] [c128] [c127] [c124] [c123] [c118] [i20] [i17] [i16] [b2] [j66] [j64] [j61] [c111] [c108] [c104] [j58] [j57] [j56] [j55] [j53] [c101] [c100] [c99] [c89] [i7] [i5] [c85] [c82] [c76] [c74] [c72] [c61] [i2] [j39] [j38] [c58] [c57] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c45] [c44] [c43] [c41] [c37] [c35] [c34] [j7] [j6] [j5] [j4] [c5] [j3] [j2] [j1] [c4] [c3] [c2] [c1]
[j171] [j147] [j143] [c217] [i99] [j112] [c190] [c185] [c182] [c177] [i80] [i73] [i72] [j103] [j102] [j99] [j98] [j96] [j94] [c171] [c167] [c166] [c162] [i51] [c145] [c132] [i33] [i30] [j76] [c127] [c124] [c123] [c121] [c118] [i20] [i18] [i17] [j61] [c115] [c112] [c111] [c108] [c107] [i12] [j56] [c93] [c90] [i10] [i6] [i5] [j46] [c84] [c73] [c69] [c67] [c66] [c64] [c63] [c59] [c57] [c55] [c53] [c51] [c49] [c41] [c35]
[j178] [j170] [j169] [j168] [j167] [j165] [c278] [c276] [c275] [c274] [c273] [c267] [c263] [c262] [c261] [c260] [i190] [i189] [i187] [i186] [i185] [i184] [i180] [i174] [i173] [i168] [i164] [i163] [i162] [j164] [j160] [j142] [j141] [j140] [c259] [c258] [c255] [c239] [c236] [c231] [i150] [i147] [i140] [i136] [i134] [i132] [i130] [i129] [j124] [c225] [c222] [c218] [c211] [c197] [i123] [i110] [i98] [j120] [j108] [c196] [c195] [c194] [c192] [c180] [c176] [c175] [c174] [i88] [i87] [i85] [i84] [i83] [i82] [i79] [i78] [i77] [i65] [i64] [i62] [i61] [i60] [j92] [c170] [c168] [c163] [c154] [c153] [i56] [i55] [i54] [i53] [i48] [i46] [i42] [i41] [i39] [j89] [j87] [c152] [c148] [c135] [c133] [c131] [c129] [i35] [i34] [i28] [i24] [i23] [i22] [i21] [j69] [j67] [i16] [b2] [j65] [j60] [c113] [c104] [c103] [c102] [i13] [j57] [j55] [j53] [c101] [c100] [c99] [c96] [c89] [i10] [i9] [i8] [i7] [i4] [j51] [c88] [c82] [c81] [c78] [c77] [c76] [c75] [c65] [c62] [c61] [j40] [c56]
Yifan Zhang
aka: Yi-Fan Zhang
aka: Yi-Fan Zhang
[j187] [j183] [j180] [j174] [j172] [j166] [c271] [i188] [i181] [i176] [i171] [i170] [i169] [i167] [i161] [i159] [j161] [j157] [j152] [j150] [j149] [j146] [c253] [c252] [c250] [c244] [c238] [i157] [i152] [i148] [i137] [i135] [i133] [i126] [i124] [j136] [c227] [c219] [c217] [i102] [i101] [i90] [j115] [j106] [i86] [i81] [i70] [j95] [c158] [i50] [i43] [j85] [j82] [c150] [c138] [c136] [i31] [c41] [c40] [c36]
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Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-20 21:59 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
