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ORCIDYang Gao 0001
Person information
- affiliation: Nanjing University, State Key Laboratory for Novel Software Technology, China
Other persons with the same name
- Yang Gao — disambiguation page
- Yang Gao 0002
![[0000-0002-2150-5986]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2150-5986")
— University of Surrey, Guildford, UK - Yang Gao 0003 — University of California, Riverside, CA, USA
- Yang Gao 0004 — University of Calgary, Department of Geomatics Engineering, AB, Canada
- Yang Gao 0005 — University of Edinburgh, Statistical Machine Translation Group, UK
- Yang Gao 0006 — University of Maryland, College Park, MD, USA
- Yang Gao 0007 — Nav Canada (and 1 more)
- Yang Gao 0008 — Lanzhou University, School of Mathematics and Statistics, China
- Yang Gao 0009 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Yang Gao 0010 — Dalian University of Technology, School of Computer Science and Technology, China
- Yang Gao 0011 — University of Oldenburg, Germany
- Yang Gao 0012 — Beijing Satellite Navigation Center, Beijing, China (and 1 more)
- Yang Gao 0013 — Tsinghua University, Department of Electronic Engineering, Beijing, China
- Yang Gao 0014 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Yang Gao 0015 — Zhejiang University, Qiushi Academy for Advanced Studies, Interdisciplinary Institute of Neuroscience and Technology, Hangzhou, China
- Yang Gao 0016 — Beijing Institute of Technology, School of Computer Science and Technology, Beijing, China (and 1 more)
- Yang Gao 0017 — National University of Defense Technology, Hefei, China
- Yang Gao 0018 — University of Nottingham, Nottingham Geospatial Institute, UK
- Yang Gao 0019 — Rutgers University, Department of Chemistry and Chemical Biology, Piscataway, NJ, USA
- Yang Gao 0020 — University of Birmingham, UK
- Yang Gao 0021 — Royal Holloway University of London, UK (and 3 more)
- Yang Gao 0022 — University of Waterloo, Waterloo, Ontario, Canada
- Yang Gao 0024 — Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China (and 1 more)
- Yang Gao 0025 — Northwestern University, Department of Computer Science, Chicago, IL, USA (and 1 more)
- Yang Gao 0026 — Soochow University, Suzhou, China
- Yang Gao 0027 — University of Texas at Dallas, TX, USA
- Yang Gao 0028 — Yantai University, Yantai, China
- Yang Gao 0029 — Tsinghua University, Beijing, China (and 3 more)
- Yang Gao 0030 — Central South University, Changsha, School of Computer Science and Engineering, Hunan, China (and 1 more)
- Yang Gao 0031 — University of Utah, Department of Computer Science, Salt Lake City, UT, USA
- Yang Gao 0032 — Beihang University, State Key Laboratory of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
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Journal Articles
- 2024
[j124]Jing Huo, Meihao Kong, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao:
Towards efficient image and video style transfer via distillation and learnable feature transformation. Comput. Vis. Image Underst. 241: 103947 (2024)- [j123]Shaokang Dong, Chao Li, Shangdong Yang, Wenbin Li, Yang Gao:
Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in mixed cooperative and competitive environments. Expert Syst. Appl. 257: 125116 (2024) - [j122]Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Lingqiao Liu, Lei Zhang, Peng Wang:
CAT: A Simple yet Effective Cross-Attention Transformer for One-Shot Object Detection. J. Comput. Sci. Technol. 39(2): 460-471 (2024) - [j121]Yunkai Zhuang, Yong Liu, Shangdong Yang, Yang Gao:
Selective policy transfer in multi-agent systems with sparse interactions. Knowl. Based Syst. 300: 112031 (2024) - [j120]Taihang Zhen, Kai Chen, Yang Gao:
A Novel Contrastive Learning Model for Aerial Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j119]Changbin Shao, Wenbin Li, Jing Huo, Zhen-Hua Feng, Yang Gao:
Attention-based investigation and solution to the trade-off issue of adversarial training. Neural Networks 174: 106224 (2024) - [j118]Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, Yang Gao:
Egoism, utilitarianism and egalitarianism in multi-agent reinforcement learning. Neural Networks 178: 106544 (2024) - [j117]Zhenxing Ge, Shangdong Yang, Pinzhuo Tian, Zixuan Chen, Yang Gao:
Modeling Rationality: Toward Better Performance Against Unknown Agents in Sequential Games. IEEE Trans. Cybern. 54(5): 2966-2977 (2024) - [j116]Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, Yang Gao:
WToE: Learning When to Explore in Multiagent Reinforcement Learning. IEEE Trans. Cybern. 54(8): 4789-4801 (2024) - [j115]Na Wang, Lei Qi, Jintao Guo, Yinghuan Shi, Yang Gao:
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations. IEEE Trans. Image Process. 33: 1627-1642 (2024) - [j114]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
SETA: Semantic-Aware Edge-Guided Token Augmentation for Domain Generalization. IEEE Trans. Image Process. 33: 5622-5636 (2024) - [j113]Wubing Chen, Shangdong Yang, Wenbin Li, Yujing Hu, Xiao Liu, Yang Gao:
Learning Multi-Intersection Traffic Signal Control via Coevolutionary Multi-Agent Reinforcement Learning. IEEE Trans. Intell. Transp. Syst. 25(11): 15947-15963 (2024) - [j112]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Exploring Flat Minima for Domain Generalization With Large Learning Rates. IEEE Trans. Knowl. Data Eng. 36(11): 6145-6158 (2024) - [j111]Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao:
MutexMatch: Semi-Supervised Learning With Mutex-Based Consistency Regularization. IEEE Trans. Neural Networks Learn. Syst. 35(6): 8441-8455 (2024) - [j110]Wanqi Yang, Like Xin, Lei Wang, Ming Yang, Wenzhu Yan, Yang Gao:
Iterative Multiview Subspace Learning for Unpaired Multiview Clustering. IEEE Trans. Neural Networks Learn. Syst. 35(10): 14848-14862 (2024) - [j109]Zheng Gu, Shiyuan Yang, Jing Liao, Jing Huo, Yang Gao:
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model. ACM Trans. Graph. 43(4): 130:1-130:15 (2024) - [j108]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
PLACE Dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization. ACM Trans. Multim. Comput. Commun. Appl. 20(3): 65:1-65:23 (2024) - 2023
- [j107]Tianpei Yang, Weixun Wang, Jianye Hao, Matthew E. Taylor, Yong Liu, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Chunxu Ren, Ye Huang, Jiangcheng Zhu, Yang Gao:
ASN: action semantics network for multiagent reinforcement learning. Auton. Agents Multi Agent Syst. 37(2): 45 (2023) - [j106]Xiao Liu, Shuyang Liu, Bo An, Yang Gao, Shangdong Yang, Wenbin Li:
Effective Interpretable Policy Distillation via Critical Experience Point Identification. IEEE Intell. Syst. 38(5): 28-36 (2023) - [j105]Yang Gao, Zunlei Feng, Xiaoyang Wang, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Reinforcement learning based web crawler detection for diversity and dynamics. Neurocomputing 520: 115-128 (2023) - [j104]Yanhui Guo, Qian Yu, Yang Gao, Xudong Liu, Chenglong Li:
Max-min distance embedding for unsupervised hyperspectral image classification in the satellite Internet of Things system. Internet Things 22: 100775 (2023) - [j103]Xingguo Chen, Guang Yang, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao:
Online attentive kernel-based temporal difference learning. Knowl. Based Syst. 278: 110902 (2023) - [j102]Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo:
Defensive Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5649-5667 (2023) - [j101]Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo:
LibFewShot: A Comprehensive Library for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14938-14955 (2023) - [j100]Ruiqi Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Better pseudo-label: Joint domain-aware label and dual-classifier for semi-supervised domain generalization. Pattern Recognit. 133: 108987 (2023) - [j99]Boyao Shi, Wenbin Li, Jing Huo, Pengfei Zhu, Lei Wang, Yang Gao:
Global- and local-aware feature augmentation with semantic orthogonality for few-shot image classification. Pattern Recognit. 142: 109702 (2023) - [j98]Wenyuan Zhong, Huaxiong Li, Qinghua Hu, Yang Gao, Chunlin Chen:
Multi-Level Cascade Sparse Representation Learning for Small Data Classification. IEEE Trans. Circuits Syst. Video Technol. 33(5): 2451-2464 (2023) - [j97]Huaxiong Li, Chao Zhang, Xiuyi Jia, Yang Gao, Chunlin Chen:
Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-Modal Retrieval. IEEE Trans. Knowl. Data Eng. 35(2): 1185-1199 (2023) - [j96]Chao Zhang, Huaxiong Li, Yang Gao, Chunlin Chen:
Weakly-Supervised Enhanced Semantic-Aware Hashing for Cross-Modal Retrieval. IEEE Trans. Knowl. Data Eng. 35(6): 6475-6488 (2023) - [j95]Shumeng Li, Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 42(3): 582-593 (2023) - [j94]Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo:
Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings. Trans. Mach. Learn. Res. 2023 (2023) - [j93]Yujian Feng, Yimu Ji, Fei Wu, Guangwei Gao, Yang Gao, Tianliang Liu, Shangdong Liu, Xiao-Yuan Jing, Jiebo Luo:
Occluded Visible-Infrared Person Re-Identification. IEEE Trans. Multim. 25: 1401-1413 (2023) - [j92]Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo:
A Multilayer Framework for Online Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6701-6713 (2023) - [j91]Yanfang Liu, Xiaocong Fan, Wenbin Li, Yang Gao:
Online Passive-Aggressive Active Learning for Trapezoidal Data Streams. IEEE Trans. Neural Networks Learn. Syst. 34(10): 6725-6739 (2023) - 2022
- [j90]Pinzhuo Tian, Yang Gao:
Improving meta-learning model via meta-contrastive loss. Frontiers Comput. Sci. 16(5) (2022) - [j89]Fei Wu, Xinhao Zheng, Ying Sun, Yang Gao, Xiao-Yuan Jing:
Joint Domain Adaption and Pseudo-Labeling for Cross-Project Defect Prediction. IEICE Trans. Inf. Syst. 105-D(2): 432-435 (2022) - [j88]Yang Liu, Kun Gao, Hongbin Deng, Tong Ling, Jiajia Lin, Xianqiang Yu, Xiangwei Bo, Jing Zhou, Lin Gao, Peng Wang, Jiajun Hu, Jian Zhang, Zhihui Tong, Yuxiu Liu, Yinghuan Shi, Lu Ke, Yang Gao, Weiqin Li:
A time-incorporated SOFA score-based machine learning model for predicting mortality in critically ill patients: A multicenter, real-world study. Int. J. Medical Informatics 163: 104776 (2022) - [j87]Jian Yu, Yujian Feng, Ruonan Li, Yang Gao:
Part-facial relational and modality-style attention networks for heterogeneous face recognition. Neurocomputing 494: 1-12 (2022) - [j86]Yanfang Liu, Wenbin Li, Yang Gao:
Confidence-weighted Learning for Feature Evolution. Int. J. Softw. Informatics 12(2): 231-243 (2022) - [j85]Tingting Zhai, Frédéric Koriche, Yang Gao, Junwu Zhu, Bin Li:
Online active classification via margin-based and feature-based label queries. Mach. Learn. 111(6): 2323-2348 (2022) - [j84]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Generalizable model-agnostic semantic segmentation via target-specific normalization. Pattern Recognit. 122: 108292 (2022) - [j83]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao:
Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 32(5): 2921-2936 (2022) - [j82]Yue Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Feature-Based Style Randomization for Domain Generalization. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5495-5509 (2022) - [j81]Jing Huo, Xiangde Liu, Wenbin Li, Yang Gao, Hujun Yin, Jiebo Luo:
CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation. IEEE Trans. Image Process. 31: 3347-3358 (2022) - [j80]Qian Yu, Lei Qi, Yang Gao, Wuzhang Wang, Yinghuan Shi:
Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation. IEEE Trans. Image Process. 31: 5893-5908 (2022) - [j79]Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao:
Deep Symmetric Adaptation Network for Cross-Modality Medical Image Segmentation. IEEE Trans. Medical Imaging 41(1): 121-132 (2022) - [j78]Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao:
Inconsistency-Aware Uncertainty Estimation for Semi-Supervised Medical Image Segmentation. IEEE Trans. Medical Imaging 41(3): 608-620 (2022) - [j77]Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao:
CariMe: Unpaired Caricature Generation With Multiple Exaggerations. IEEE Trans. Multim. 24: 2673-2686 (2022) - [j76]Pinzhuo Tian, Wenbin Li, Yang Gao:
Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7277-7288 (2022) - 2021
- [j75]Jian Zhang, Yinghuan Shi, Jinquan Sun, Lei Wang, Luping Zhou, Yang Gao, Dinggang Shen:
Interactive medical image segmentation via a point-based interaction. Artif. Intell. Medicine 111: 101998 (2021) - [j74]Zhendong Yin, Li Wang, Yaojia Zhang, Yang Gao:
Parameter identification of DC arc models using chaotic quantum cuckoo search. Appl. Soft Comput. 108: 107451 (2021) - [j73]Li Yang, Jing Wu, Jing Huo, Yu-Kun Lai, Yang Gao:
Learning 3D face reconstruction from a single sketch. Graph. Model. 115: 101102 (2021) - [j72]Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang:
NAS-FCOS: Efficient Search for Object Detection Architectures. Int. J. Comput. Vis. 129(12): 3299-3312 (2021) - [j71]Xiaolong Qi, Xiaocong Fan, Huiling Wang, Ling Lin, Yang Gao:
Mutual-information-inspired heuristics for constraint-based causal structure learning. Inf. Sci. 560: 152-167 (2021) - [j70]Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. Medical Image Anal. 69: 101978 (2021) - [j69]Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
MetricUNet: Synergistic image- and voxel-level learning for precise prostate segmentation via online sampling. Medical Image Anal. 71: 102039 (2021) - [j68]Xiao-Yuan Jing, Xinyu Zhang, Xiaoke Zhu, Fei Wu, Xinge You, Yang Gao, Shiguang Shan, Jing-yu Yang:
Multiset Feature Learning for Highly Imbalanced Data Classification. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 139-156 (2021) - [j67]Qian Yu, Yang Gao, Yefeng Zheng, Jianbing Zhu, Yakang Dai, Yinghuan Shi:
Crossover-Net: Leveraging vertical-horizontal crossover relation for robust medical image segmentation. Pattern Recognit. 113: 107756 (2021) - [j66]Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen:
Synergistic learning of lung lobe segmentation and hierarchical multi-instance classification for automated severity assessment of COVID-19 in CT images. Pattern Recognit. 113: 107828 (2021) - [j65]Hongwei Huang, Zhangkai Wu, Wenbin Li, Jing Huo, Yang Gao:
Local descriptor-based multi-prototype network for few-shot Learning. Pattern Recognit. 116: 107935 (2021) - [j64]Chao Zhang, Huaxiong Li, Yuhua Qian, Chunlin Chen, Yang Gao:
Pairwise Relations Oriented Discriminative Regression. IEEE Trans. Circuits Syst. Video Technol. 31(7): 2646-2660 (2021) - [j63]Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao:
MW-GAN: Multi-Warping GAN for Caricature Generation With Multi-Style Geometric Exaggeration. IEEE Trans. Image Process. 30: 8644-8657 (2021) - [j62]Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen:
Learning-Based Computer-Aided Prescription Model for Parkinson's Disease: A Data-Driven Perspective. IEEE J. Biomed. Health Informatics 25(9): 3258-3269 (2021) - [j61]Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen:
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation in CT Images. IEEE Trans. Medical Imaging 40(8): 2118-2128 (2021) - [j60]Shangdong Yang, Yang Gao:
An Optimal Algorithm for the Stochastic Bandits While Knowing the Near-Optimal Mean Reward. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2285-2291 (2021) - [j59]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 27:1-27:22 (2021) - 2020
- [j58]Shangdong Yang, Hao Wang, Chenyu Zhang, Yang Gao:
Contextual Bandits With Hidden Features to Online Recommendation via Sparse Interactions. IEEE Intell. Syst. 35(5): 62-72 (2020) - [j57]Shuanzhu Sun, Zhangkai Wu, Chunlei Zhou, Xiaolong Qi, Bei Song, Yang Gao:
A novel fault propagation path identification inference algorithm using parent nodes filter. Int. J. Data Sci. Anal. 10(2): 205-213 (2020) - [j56]Xuejie Wang, Yanchao Ji, Jianze Wang, Yang Gao, Lei Qi:
Research on distribution network reconfiguration based on microgrid. J. Ambient Intell. Humaniz. Comput. 11(9): 3607-3615 (2020) - [j55]Yanfang Liu, Dongyi Ye, Wenbin Li, Huihui Wang, Yang Gao:
Robust neighborhood embedding for unsupervised feature selection. Knowl. Based Syst. 193: 105462 (2020) - [j54]Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo:
CariGAN: Caricature generation through weakly paired adversarial learning. Neural Networks 132: 66-74 (2020) - [j53]Huaqing Sun, Yuanyong Luo, Yajun Ha, Yinghuan Shi, Yang Gao, Qinghong Shen, Hongbing Pan:
A Universal Method of Linear Approximation With Controllable Error for the Efficient Implementation of Transcendental Functions. IEEE Trans. Circuits Syst. I Regul. Pap. 67-I(1): 177-188 (2020) - [j52]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 30(9): 2815-2829 (2020) - [j51]Wanqi Yang, Yinghuan Shi, Sang Hyun Park, Ming Yang, Yang Gao, Dinggang Shen:
An Effective MR-Guided CT Network Training for Segmenting Prostate in CT Images. IEEE J. Biomed. Health Informatics 24(8): 2278-2291 (2020) - [j50]Yinghuan Shi, Heung-Il Suk, Yang Gao, Seong-Whan Lee, Dinggang Shen:
Leveraging Coupled Interaction for Multimodal Alzheimer's Disease Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 31(1): 186-200 (2020) - 2019
- [j49]Yu Wang, Hongyu Yuan, Xin Liu, Qing Bai, Hongjuan Zhang, Yang Gao, Bao-quan Jin:
A Comprehensive Study of Optical Fiber Acoustic Sensing. IEEE Access 7: 85821-85837 (2019) - [j48]Xiaolong Qi, Xiaocong Fan, Yang Gao, Yanfang Liu:
Learning Bayesian network structures using weakest mutual-information-first strategy. Int. J. Approx. Reason. 114: 84-98 (2019) - [j47]Zhi-Fen He, Ming Yang, Yang Gao, Hui-Dong Liu, Yilong Yin:
Joint multi-label classification and label correlations with missing labels and feature selection. Knowl. Based Syst. 163: 145-158 (2019) - [j46]Qing Bai, Qinglin Wang, Dong Wang, Yu Wang, Yang Gao, Hongjuan Zhang, Mingjiang Zhang, Bao-quan Jin:
Recent Advances in Brillouin Optical Time Domain Reflectometry. Sensors 19(8): 1862 (2019) - [j45]Qian Yu, Yinghuan Shi, Jinquan Sun, Yang Gao, Jianbing Zhu, Yakang Dai:
Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images. IEEE Trans. Image Process. 28(8): 4060-4074 (2019) - [j44]Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao, Dinggang Shen:
Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks. IEEE Trans. Medical Imaging 38(2): 585-595 (2019) - [j43]Tingting Zhai, Frédéric Koriche, Hao Wang, Yang Gao:
Tracking Sparse Linear Classifiers. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2079-2092 (2019) - 2018
- [j42]Wanqi Yang, Yinghuan Shi, Yang Gao, Ming Yang:
Online multi-view subspace learning via group structure analysis for visual object tracking. Distributed Parallel Databases 36(3): 485-509 (2018) - [j41]Lei Qi, Jing Huo, Xiaocong Fan, Yinghuan Shi, Yang Gao:
Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-Identification. IEEE J. Sel. Top. Signal Process. 12(6): 1263-1275 (2018) - [j40]Jinhua Song, Hao Wang, Yang Gao, Bo An:
Active learning with confidence-based answers for crowdsourcing labeling tasks. Knowl. Based Syst. 159: 244-258 (2018) - [j39]Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi:
OPML: A one-pass closed-form solution for online metric learning. Pattern Recognit. 75: 302-314 (2018) - [j38]Yu Wang, Yuheng Qiao, Hongjuan Zhang, Yang Gao, Ming Zhang, Heng Tan, Dong Wang, Bao-quan Jin:
Transformerless Ultrasonic Ranging System with the Feature of Intrinsic Safety for Explosive Environment. Sensors 18(12): 4397 (2018) - [j37]Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin:
Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning. IEEE Trans. Cybern. 48(6): 1814-1826 (2018) - [j36]Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin:
Cross-Modal Metric Learning for AUC Optimization. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4844-4856 (2018) - [j35]Wanqi Yang, Yinghuan Shi, Yang Gao, Lei Wang, Ming Yang:
Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6276-6291 (2018) - [j34]Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang:
Joint user knowledge and matrix factorization for recommender systems. World Wide Web 21(4): 1141-1163 (2018) - 2017
- [j33]Yonghong Yu, Can Wang, Hao Wang, Yang Gao:
Attributes coupling based matrix factorization for item recommendation. Appl. Intell. 46(3): 521-533 (2017) - [j32]Tingting Zhai, Yang Gao, Hao Wang, Longbing Cao:
Classification of high-dimensional evolving data streams via a resource-efficient online ensemble. Data Min. Knowl. Discov. 31(5): 1242-1265 (2017) - [j31]Lishuang Gong, Bao-quan Jin, Hong-juan Zhang, Yang Gao, Dong Wang, Yu Wang:
Anti-disturbance proportional integral attitude control and stabilization of rolling hydraulic position system. J. Syst. Control. Eng. 231(2): 117-130 (2017) - [j30]Luowei Zhou, Pei Yang, Chunlin Chen, Yang Gao:
Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer. IEEE Trans. Cybern. 47(5): 1238-1250 (2017) - [j29]Huihui Wang, Yang Gao, Yinghuan Shi, Ruili Wang:
Group-Based Alternating Direction Method of Multipliers for Distributed Linear Classification. IEEE Trans. Cybern. 47(11): 3568-3582 (2017) - 2016
- [j28]Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
A learning-based CT prostate segmentation method via joint transductive feature selection and regression. Neurocomputing 173: 317-331 (2016) - 2015
- [j27]Bao-quan Jin, Qing Bai, Hong-juan Zhang, Dong Wang, Yang Gao:
Design and analysis of communication scheduling applied in water inrush perception layer of mine internet of things. Comput. Syst. Sci. Eng. 30(5) (2015) - [j26]Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Semi-Automatic Segmentation of Prostate in CT Images via Coupled Feature Representation and Spatial-Constrained Transductive Lasso. IEEE Trans. Pattern Anal. Mach. Intell. 37(11): 2286-2303 (2015) - [j25]Yujing Hu, Yang Gao, Bo An:
Multiagent Reinforcement Learning With Unshared Value Functions. IEEE Trans. Cybern. 45(4): 647-662 (2015) - [j24]Yujing Hu, Yang Gao, Bo An:
Accelerating Multiagent Reinforcement Learning by Equilibrium Transfer. IEEE Trans. Cybern. 45(7): 1289-1302 (2015) - [j23]Wanqi Yang, Yang Gao, Yinghuan Shi, Longbing Cao:
MRM-Lasso: A Sparse Multiview Feature Selection Method via Low-Rank Analysis. IEEE Trans. Neural Networks Learn. Syst. 26(11): 2801-2815 (2015) - 2014
- [j22]Wanqi Yang, Yang Gao, Longbing Cao, Ming Yang, Yinghuan Shi:
mPadal: a joint local-and-global multi-view feature selection method for activity recognition. Appl. Intell. 41(3): 776-790 (2014) - [j21]Jianhui Chen, Jianhua Ma, Ning Zhong, Yiyu Yao, Jiming Liu, Runhe Huang, Wenbin Li, Zhisheng Huang, Yang Gao, Jianping Cao:
WaaS: Wisdom as a Service. IEEE Intell. Syst. 29(6): 40-47 (2014) - [j20]Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin:
Multi-Instance Dictionary Learning for Detecting Abnormal Events in Surveillance Videos. Int. J. Neural Syst. 24(3) (2014) - [j19]Yu-Bin Yang, Ya-Nan Li, Yang Gao, Hujun Yin, Ye Tang:
Structurally Enhanced Incremental Neural Learning for Image Classification with Subgraph Extraction. Int. J. Neural Syst. 24(7) (2014) - [j18]Hui-Dong Liu, Ming Yang, Yang Gao, Chunyan Cui:
Local histogram specification for face recognition under varying lighting conditions. Image Vis. Comput. 32(5): 335-347 (2014) - [j17]Hui-Dong Liu, Ming Yang, Yang Gao, Yilong Yin, Liang Chen:
Bilinear discriminative dictionary learning for face recognition. Pattern Recognit. 47(5): 1835-1845 (2014) - [j16]Hui-Dong Liu, Ming Yang, Yang Gao, Longbing Cao:
Fast Local Histogram Specification. IEEE Trans. Circuits Syst. Video Technol. 24(11): 1833-1843 (2014) - [j15]Jianwu Wan, Ming Yang, Yang Gao, Yin-Juan Chen:
Pairwise Costs in Semisupervised Discriminant Analysis for Face Recognition. IEEE Trans. Inf. Forensics Secur. 9(10): 1569-1580 (2014) - 2013
- [j14]Yinghuan Shi, Yang Gao, Ruili Wang, Ying Zhang, Dong Wang:
Transductive cost-sensitive lung cancer image classification. Appl. Intell. 38(1): 16-28 (2013) - [j13]Liang Zhao, Lin Shang, Yang Gao, Yubin Yang, Xiuyi Jia:
Video Behavior Analysis Using Topic Models and Rough Sets [Applications Notes]. IEEE Comput. Intell. Mag. 8(1): 56-67 (2013) - [j12]Wanqi Yang, Yang Gao, Longbing Cao:
TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning. Comput. Vis. Image Underst. 117(10): 1273-1286 (2013) - [j11]Yu-Bin Yang, Ling-Yan Pan, Yang Gao, Guang-Nan He, Yao Zhang:
Visual word coding based on difference maximization. Neurocomputing 120: 277-286 (2013) - [j10]Yinghuan Shi, Yang Gao, Yubin Yang, Ying Zhang, Dong Wang:
Multimodal Sparse Representation-Based Classification for Lung Needle Biopsy Images. IEEE Trans. Biomed. Eng. 60(10): 2675-2685 (2013) - [j9]Xingguo Chen, Yang Gao, Ruili Wang:
Online Selective Kernel-Based Temporal Difference Learning. IEEE Trans. Neural Networks Learn. Syst. 24(12): 1944-1956 (2013) - [j8]Yang Gao, Mufeng Lin, Ruili Wang:
Adaptive support framework for wisdom web of things. World Wide Web 16(4): 379-398 (2013) - 2012
- [j7]Mingzhe Liu, Xianguo Tuo, Zhe Li, Jianbo Yang, Yang Gao:
Asymmetric exclusion process for modeling of information flow. Comput. Phys. Commun. 183(2): 316-319 (2012) - 2011
- [j6]Liangdong Shi, Yinghuan Shi, Yang Gao, Lin Shang, Yubin Yang:
Xcsc: a Novel Approach to Clustering with Extended Classifier System. Int. J. Neural Syst. 21(1): 79-93 (2011) - 2010
- [j5]Hao Wang, Yang Gao, Xingguo Chen:
RL-DOT: A Reinforcement Learning NPC Team for Playing Domination Games. IEEE Trans. Comput. Intell. AI Games 2(1): 17-26 (2010) - 2008
- [j4]Yang Gao, Lin Shang, Yubin Yang:
Intelligent Systems in Nanjing University. IEEE Intell. Informatics Bull. 9(1): 1-2 (2008) - 2007
- [j3]Yang Gao, Joshua Zhexue Huang, Lei Wu:
Learning classifier system ensemble and compact rule set. Connect. Sci. 19(4): 321-337 (2007) - [j2]Ben-Nian Wang, Yang Gao, Zhaoqian Chen, Jun-Yuan Xie, Shifu Chen:
A two-layered multi-agent reinforcement learning model and algorithm. J. Netw. Comput. Appl. 30(4): 1366-1376 (2007) - 2005
- [j1]Yang Gao, Hongqiang Rong, Joshua Zhexue Huang:
Adaptive grid job scheduling with genetic algorithms. Future Gener. Comput. Syst. 21(1): 151-161 (2005)
Conference and Workshop Papers
- 2024
- [c154]Lin Chen, Zhijie Jia, Lechao Cheng, Yang Gao, Jie Lei, Yijun Bei, Zunlei Feng:
ViT-Calibrator: Decision Stream Calibration for Vision Transformer. AAAI 2024: 1147-1155 - [c153]Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song:
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios. AAAI 2024: 10386-10394 - [c152]Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao:
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. AAAI 2024: 11381-11389 - [c151]Mingjiang Duan, Tongya Zheng, Yang Gao, Gang Wang, Zunlei Feng, Xinyu Wang:
DGA-GNN: Dynamic Grouping Aggregation GNN for Fraud Detection. AAAI 2024: 11820-11828 - [c150]Chao Li, Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao:
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning. AAAI 2024: 17453-17460 - [c149]Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen, Yang Gao:
Cognizing and Imitating Robotic Skills via a Dual Cognition-Action Architecture. AAMAS 2024: 2204-2206 - [c148]Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation. CVPR 2024: 11642-11651 - [c147]Wei Zhao, Zhitao Hou, Siyuan Wu, Yang Gao, Haoyu Dong, Yao Wan, Hongyu Zhang, Yulei Sui, Haidong Zhang:
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries. EACL (Findings) 2024: 2377-2388 - [c146]Muyang Qiu, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
The Devil Is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation. ECCV (54) 2024: 74-91 - [c145]Jiajun Hu, Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization. ECCV (51) 2024: 198-216 - [c144]Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao:
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. ICLR 2024 - [c143]Chen Gan, Zihao Yin, Kelei He, Yang Gao, Junfeng Zhang:
Diving Segmentation Model into Pixels. ICLR 2024 - [c142]Zihao Yin, Chen Gan, Kelei He, Yang Gao, Junfeng Zhang:
Hybrid Sharing for Multi-Label Image Classification. ICLR 2024 - [c141]Zhenxing Ge, Zheng Xu, Tianyu Ding, Linjian Meng, Bo An, Wenbin Li, Yang Gao:
Safe and Robust Subgame Exploitation in Imperfect Information Games. ICML 2024 - [c140]Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao:
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. IJCAI 2024: 120-128 - [c139]Yijun Bei, Xing Zhou, Erteng Liu, Yang Gao, Sen Lin, Kewei Gao, Zunlei Feng:
Discriminative Feature Decoupling Enhancement for Speech Forgery Detection. IJCAI 2024: 340-348 - [c138]Quanlin Chen, Jing Huo, Yiyu Chen, Tianyu Ding, Yang Gao, Dong Li, Xu He:
Re-examining Supervised Dimension Reduction for High-Dimensional Bayesian Optimization. PPSN (2) 2024: 356-373 - [c137]Yibo Yong, Lianbo Ma, Yang Gao:
An Adaptive Bacterial Foraging Optimization Algorithm Based on Chaos-Enhanced Non-elite Reverse Learning. ICSI (1) 2024: 133-144 - [c136]Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang:
Distributionally Robust Graph-based Recommendation System. WWW 2024: 3777-3788 - 2023
- [c135]Linjian Meng, Zhenxing Ge, Pinzhuo Tian, Bo An, Yang Gao:
An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games. AAAI 2023: 5823-5831 - [c134]Chao Zhang, Huaxiong Li, Wei Lv, Zizheng Huang, Yang Gao, Chunlin Chen:
Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering. AAAI 2023: 11174-11182 - [c133]Wubing Chen, Wenbin Li, Xiao Liu, Shangdong Yang, Yang Gao:
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient. AAAI 2023: 11542-11550 - [c132]Zixuan Chen, Wenbin Li, Yang Gao, Yiyu Chen:
TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations. AAMAS 2023: 2421-2423 - [c131]Yang Gao, Ying Li, Yang Li, Zunlei Feng, Mingli Song, Xingyu Wang, Chun Chen:
Drift-aware Anomaly Detection for Non-stationary Time Series. IEEE Big Data 2023: 1095-1100 - [c130]Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation. CVPR 2023: 3302-3311 - [c129]Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao:
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery. CVPR 2023: 3449-3458 - [c128]Xingguo Chen, Zening Chen, Dingyuanhao Sun, Yang Gao:
Backtracking Exploration for Reinforcement Learning. DAI 2023: 7:1-7:7 - [c127]Hongye Cao, Shangdong Yang, Jing Huo, Xingguo Chen, Yang Gao:
Enhancing OOD Generalization in Offline Reinforcement Learning with Energy-Based Policy Optimization. ECAI 2023: 335-342 - [c126]Bingde Hu, Yang Gao, Zunlei Feng, Mingli Song, Xinyu Wang, Ying Li:
LoSS: Local Structural Separation Hypergraph Convolutional Neural Network. ECAI 2023: 1060-1067 - [c125]Yunkai Zhuang, Shangdong Yang, Wenbin Li, Yang Gao:
Convergence Analysis of Graphical Game-Based Nash Q-Learning using the Interaction Detection Signal of N-Step Return. ICASSP 2023: 1-5 - [c124]Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao:
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. ICCV 2023: 15824-15833 - [c123]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
DomainAdaptor: A Novel Approach to Test-time Adaptation. ICCV 2023: 18925-18935 - [c122]Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching Between 3D and 2D Networks. MICCAI (3) 2023: 614-624 - [c121]Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao:
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. ACM Multimedia 2023: 2180-2188 - [c120]Zhenxing Ge, Zheng Xu, Tianyu Ding, Wenbin Li, Yang Gao:
Efficient Subgame Refinement for Extensive-form Games. NeurIPS 2023 - [c119]Xingguo Chen, Xingzhou Ma, Yang Li, Guang Yang, Shangdong Yang, Yang Gao:
Modified Retrace for Off-Policy Temporal Difference Learning. UAI 2023: 303-312 - 2022
- [c118]Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao:
LaSSL: Label-Guided Self-Training for Semi-supervised Learning. AAAI 2022: 9208-9216 - [c117]Ziyuan Wang, Zhen Zhao, Lei Qi, Yinghuan Shi, Yang Gao:
Adaptive Weight of Unreliable Relation Module for Semi-supervised Multi-label Image Recognition. CCIS 2022: 612-616 - [c116]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation. CVPR 2022: 4258-4267 - [c115]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
MVDG: A Unified Multi-view Framework for Domain Generalization. ECCV (27) 2022: 161-177 - [c114]Li Wang, Yupeng Zhang, Yujing Hu, Weixun Wang, Chongjie Zhang, Yang Gao, Jianye Hao, Tangjie Lv, Changjie Fan:
Individual Reward Assisted Multi-Agent Reinforcement Learning. ICML 2022: 23417-23432 - [c113]Zixuan Chen, Zhirui Zhu, Guang Yang, Yang Gao:
HiSA: Facilitating Efficient Multi-Agent Coordination and Cooperation by Hierarchical Policy with Shared Attention. PRICAI (3) 2022: 77-90 - [c112]Chao Li, Yujing Hu, Pinzhuo Tian, Shaokang Dong, Yang Gao:
DDMA: Discrepancy-Driven Multi-agent Reinforcement Learning. PRICAI (3) 2022: 91-105 - 2021
- [c111]Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao:
LoFGAN: Fusing Local Representations for Few-shot Image Generation. ICCV 2021: 8443-8451 - [c110]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
Mining Latent Classes for Few-shot Segmentation. ICCV 2021: 8701-8710 - [c109]Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao:
Manifold Alignment for Semantically Aligned Style Transfer. ICCV 2021: 14841-14849 - [c108]Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang:
Episodic Multi-agent Reinforcement Learning with Curiosity-driven Exploration. NeurIPS 2021: 3757-3769 - 2020
- [c107]Xiao Liu, Wenbin Li, Jing Huo, Lili Yao, Yang Gao:
Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. AAAI 2020: 4900-4907 - [c106]Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao:
Multi-Agent Game Abstraction via Graph Attention Neural Network. AAAI 2020: 7211-7218 - [c105]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning. AAAI 2020: 7293-7300 - [c104]Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao:
Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation. AAAI 2020: 12087-12094 - [c103]Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang:
NAS-FCOS: Fast Neural Architecture Search for Object Detection. CVPR 2020: 11940-11948 - [c102]Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao:
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition. ECCV (8) 2020: 18-34 - [c101]Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation Via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. ICASSP 2020: 1419-1423 - [c100]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. ICLR 2020 - [c99]Changbin Shao, Jing Huo, Lei Qi, Zhen-Hua Feng, Wenbin Li, Chuanqi Dong, Yang Gao:
Biased Feature Learning for Occlusion Invariant Face Recognition. IJCAI 2020: 666-672 - [c98]Chuanqi Dong, Wenbin Li, Jing Huo, Zheng Gu, Yang Gao:
Learning Task-aware Local Representations for Few-shot Learning. IJCAI 2020: 716-722 - [c97]Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao:
Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge. IJCAI 2020: 2718-2724 - [c96]Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo:
Asymmetric Distribution Measure for Few-shot Learning. IJCAI 2020: 2957-2963 - [c95]Haodi Hou, Jing Huo, Yang Gao:
Cross-Domain Adversarial Autoencoder for Fine Grained Category Preserving Image Translation. IJCNN 2020: 1-7 - 2019
- [c94]Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao, Jiebo Luo:
Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning. AAAI 2019: 8642-8649 - [c93]Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo:
Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning. CVPR 2019: 7260-7268 - [c92]Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao:
A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification. ICCV 2019: 8079-8088 - [c91]Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao:
A Mask Based Deep Ranking Neural Network for Person Retrieval. ICME 2019: 496-501 - [c90]Yunkai Zhuang, Xingguo Chen, Yang Gao, Yujing Hu:
Accelerating Nash Q-Learning with Graphical Game Representation and Equilibrium Solving. ICTAI 2019: 939-946 - [c89]Ling Lin, Qian Yu, Wen Ji, Yang Gao:
Feature-Selected and -Preserved Sampling for High-Dimensional Stream Data Summary. ICTAI 2019: 1406-1411 - [c88]Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan:
Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns. IJCAI 2019: 457-463 - [c87]Chuanqi Dong, Zheng Gu, Zhonghao Huang, Wen Ji, Jing Huo, Yang Gao:
DeepMEF: A Deep Model Ensemble Framework for Video Based Multi-modal Person Identification. ACM Multimedia 2019: 2531-2534 - [c86]Jianrong Chen, Li Yang, Yuanyuan Xu, Jing Huo, Yinghuan Shi, Yang Gao:
A Novel Deep Multi-Modal Feature Fusion Method for Celebrity Video Identification. ACM Multimedia 2019: 2535-2538 - [c85]Ling Lin, Xiaolong Qi, Zhirui Zhu, Yang Gao:
Concept Drift Based Multi-dimensional Data Streams Sampling Method. PAKDD (1) 2019: 331-342 - [c84]Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao:
A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions. PAKDD (2) 2019: 394-406 - [c83]Fan Meng, Yang Gao, Jing Huo, Xiaolong Qi, Shichao Yi:
NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model Embedded Non-IID Similarity Metric. PAKDD (1) 2019: 587-599 - [c82]Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, Dinggang Shen:
MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification. PRICAI (1) 2019: 230-243 - 2018
- [c81]Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo:
A Joint Local and Global Deep Metric Learning Method for Caricature Recognition. ACCV (4) 2018: 240-256 - [c80]Shangdong Yang, Hao Wang, Yang Gao, Xingguo Chen:
An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward. AAMAS 2018: 2130-2132 - [c79]Shuanzhu Sun, Zhong Han, Xiaolong Qi, Chunlei Zhou, Tiancheng Zhang, Bei Song, Yang Gao:
An Incremental Approach for Sparse Bayesian Network Structure Learning. Big Data (CCF) 2018: 350-365 - [c78]Yan Zhao, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao:
Modelling Diffusion Process by Deep Neural Networks for Image Retrieval. BMVC 2018: 161 - [c77]Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin:
WebCaricature: a benchmark for caricature recognition. BMVC 2018: 223 - [c76]Pinzhuo Tian, Lei Qi, Yinghuan Shi, Luping Zhou, Yang Gao, Dinggang Sheri:
A Novel Image-Specific Transfer Approach for Prostate Segmentation in MR Images. ICASSP 2018: 806-810 - [c75]Jinhua Song, Yang Gao, Hao Wang:
Feature Learning and Transfer Performance Prediction for Video Reinforcement Learning Tasks via a Siamese Convolutional Neural Network. ICONIP (1) 2018: 350-361 - [c74]Minglin Ma, Yinghuan Shi, Wenbin Li, Yang Gao, Jun Xu:
A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images. ICPR 2018: 3892-3897 - [c73]Fan Meng, Yang Gao, Ruili Wang:
A Novel Automatic Context-Based Similarity Metric for Local Outlier Detection Tasks. ICTAI 2018: 983-990 - [c72]Tingting Zhai, Hao Wang, Frédéric Koriche, Yang Gao:
Online Feature Selection by Adaptive Sub-gradient Methods. ECML/PKDD (2) 2018: 430-446 - [c71]Yang Lv, Lei Qi, Jing Huo, Hao Wang, Yang Gao:
Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution. PRICAI 2018: 482-490 - 2017
- [c70]Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen:
Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. AAAI 2017: 1524-1531 - [c69]Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao:
Revisiting Metric Learning for SPD Matrix Based Visual Representation. CVPR 2017: 7111-7119 - [c68]Huihui Wang, Yinghuan Shi, Xingguo Chen, Yang Gao:
Cost-Sensitive Alternating Direction Method of Multipliers for Large-Scale Classification. IDEAL 2017: 315-325 - [c67]Jinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen:
A Point Says a Lot: An Interactive Segmentation Method for MR Prostate via One-Point Labeling. MLMI@MICCAI 2017: 220-228 - [c66]Yinghuan Shi, Wanqi Yang, Yang Gao, Dinggang Shen:
Does Manual Delineation only Provide the Side Information in CT Prostate Segmentation? MICCAI (3) 2017: 692-700 - [c65]Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin:
Variation Robust Cross-Modal Metric Learning for Caricature Recognition. ACM Multimedia (Thematic Workshops) 2017: 340-348 - [c64]Yonghong Yu, Hao Wang, Shuanzhu Sun, Yang Gao:
Exploiting Location Significance and User Authority for Point-of-Interest Recommendation. PAKDD (2) 2017: 119-130 - 2016
- [c63]Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen:
Efficient Average Reward Reinforcement Learning Using Constant Shifting Values. AAAI 2016: 2258-2264 - [c62]Jinhua Song, Yang Gao, Hao Wang, Bo An:
Measuring the Distance Between Finite Markov Decision Processes. AAMAS 2016: 468-476 - [c61]Huihui Wang, Yang Gao, Yinghuan Shi, Hao Wang:
A Fast Distributed Classification Algorithm for Large-Scale Imbalanced Data. ICDM 2016: 1251-1256 - [c60]Lianbo Ma, Xu Li, Jia Liu, Yang Gao:
A Novel Multi-objective Bionic Algorithm Based on Plant Root System Growth Mechanism. ICIC (3) 2016: 79-87 - [c59]Lei Qi, Yinghuan Shi, Huihui Wang, Wanqi Yang, Yang Gao:
Multi-view Subspace Clustering via a Global Low-Rank Affinity Matrix. IDEAL 2016: 321-331 - [c58]Xiaolong Qi, Yinghuan Shi, Hao Wang, Yang Gao:
Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering. IDEAL 2016: 405-415 - [c57]Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao:
Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering. IDEAL 2016: 426-435 - [c56]Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin:
Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition. ACM Multimedia 2016: 1405-1414 - [c55]Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang:
Joint User Knowledge and Matrix Factorization for Recommender Systems. WISE (1) 2016: 77-91 - 2015
- [c54]Yujing Hu, Yang Gao, Bo An:
Learning in Multi-agent Systems with Sparse Interactions by Knowledge Transfer and Game Abstraction. AAMAS 2015: 753-761 - [c53]Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao:
Interactive image segmentation via cascaded metric learning. ICIP 2015: 2900-2904 - 2014
- [c52]Yinghuan Shi, Heung-Il Suk, Yang Gao, Dinggang Shen:
Joint Coupled-Feature Representation and Coupled Boosting for AD Diagnosis. CVPR 2014: 2721-2728 - [c51]Yusheng Jia, Yang Gao, Wanqi Yang, Jing Huo, Yinghuan Shi:
A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model. IDEAL 2014: 223-230 - 2013
- [c50]Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. CVPR 2013: 2227-2234 - [c49]Yusheng Jia, Wanqi Yang, Yang Gao, Hujun Yin, Yinghuan Shi:
Image Super Resolution via Visual Prior Based Digital Image Characteristics. IDEAL 2013: 168-177 - [c48]Liqiang Qian, Yinghuan Shi, Yang Gao, Hujun Yin:
Voting-XCSc: A Consensus Clustering Method via Learning Classifier System. IDEAL 2013: 603-610 - [c47]Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Xixi Chen:
A Coupled Clustering Approach for Items Recommendation. PAKDD (2) 2013: 365-376 - [c46]Yonghong Yu, Can Wang, Yang Gao, Longbing Cao, Qianqian Chen:
Erratum: A Coupled Clustering Approach for Items Recommendation. PAKDD (2) 2013 - 2012
- [c45]Ruobing Li, Wenkai Li, Lin Shang, Yang Gao, Mengjie Zhang:
Opponent's Style Modeling Based on Situations for Bayesian Poker. Australasian Conference on Artificial Intelligence 2012: 385-396 - [c44]Liangdong Wang, Yang Gao, Chun Cao, Li Wang:
Towards a General Supporting Framework for Self-Adaptive Software Systems. COMPSAC Workshops 2012: 158-163 - [c43]Su-Qi Wang, Yu-Bin Yang, Yang Gao, Guang-Peng Chen, Yao Zhang:
MapReduce-based Closed Frequent Itemset Mining with Efficient Redundancy Filtering. ICDM Workshops 2012: 449-453 - [c42]Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin:
Abnormal Event Detection via Multi-Instance Dictionary Learning. IDEAL 2012: 76-83 - [c41]Ye Tang, Yu-Bin Yang, Yang Gao, Yao Zhang, Ying-Chun Cao:
Codebook Quantization for Image Classification Using Incremental Neural Learning and Subgraph Extraction. IDEAL 2012: 278-285 - [c40]Yonghong Yu, Yang Gao:
Constraint Programming-Based Virtual Machines Placement Algorithm in Datacenter. Intelligent Information Processing 2012: 295-304 - [c39]Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen:
Transductive Prostate Segmentation for CT Image Guided Radiotherapy. MLMI 2012: 1-9 - [c38]Ye Tang, Yu-Bin Yang, Yang Gao:
Self-paced dictionary learning for image classification. ACM Multimedia 2012: 833-836 - 2011
- [c37]Yan Jin, Yang Gao, Yinghuan Shi, Lin Shang, Ruili Wang, Yubin Yang:
P2LSA and P2LSA+: Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model. IDEAL 2011: 385-393 - [c36]Guang-Nan He, Yubin Yang, Yao Zhang, Yang Gao, Lin Shang:
Image Region Segmentation Based on Color Coherence Quantization. IEA/AIE (1) 2011: 207-219 - [c35]Guang-Peng Chen, Yu-Bin Yang, Yao Zhang, Ling-Yan Pan, Yang Gao, Lin Shang:
A Relevance Feedback Framework for Image Retrieval Based on Ant Colony Algorithm. ISVC (2) 2011: 328-337 - [c34]Aibao Luo, Xiuyi Jia, Lin Shang, Yang Gao, Yubin Yang:
Granular-Based Partial Periodic Pattern Discovery over Time Series Data. RSKT 2011: 706-711 - 2010
- [c33]Chi Su, Yang Gao, Chun Cao:
Learning classifier system using both labeled and unlabeled data. GECCO 2010: 1065-1066 - [c32]Yinghuan Shi, Yang Gao, Ruili Wang:
Real-Time Abnormal Event Detection in Complicated Scenes. ICPR 2010: 3653-3656 - [c31]Jingli Lu, Ruili Wang, Liyanage C. De Silva, Yang Gao, Jia Liu:
CASTLE: a computer-assisted stress teaching and learning environment for learners of English as a second language. INTERSPEECH 2010: 606-609 - 2009
- [c30]Weiwei Wang, Tianyin Xu, Yang Gao, Sanglu Lu:
Probabilistic Seeking Prediction in P2P VoD Systems. Australasian Conference on Artificial Intelligence 2009: 676-685 - [c29]Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi, Yang Gao:
Apply ant colony optimization to Tetris. GECCO 2009: 1741-1742 - [c28]Jingli Lu, Ruili Wang, Liyanage C. De Silva, Yang Gao:
Syllable nucleus Durations Estimation using Linear Regression based ensemble model. ICASSP 2009: 4849-4852 - [c27]Tianyin Xu, Weiwei Wang, Baoliu Ye, Wenzhong Li, Sanglu Lu, Yang Gao:
Prediction-Based Prefetching to Support VCR-like Operations in Gossip-Based P2P VoD Systems. ICPADS 2009: 1-8 - [c26]Liangdong Shi, Yinghuan Shi, Yang Gao:
Clustering with XCS and Agglomerative Rule Merging. IDEAL 2009: 242-250 - [c25]Yubin Yang, Wei Wei, Tong Lu, Yang Gao, Yao Zhang, Chunsheng Yang:
3D Scene Analysis Using UIMA Framework. IEA/AIE 2009: 369-378 - [c24]Junfeng Zhang, Yigui Li, Chun Hui, Yumei Xing, Yang Gao:
Research on a novel SAW actuator of Floating Electrode Unidirectional Transducer. NEMS 2009: 620-623 - [c23]Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu:
Detecting Abnormal Events via Hierarchical Dirichlet Processes. PAKDD 2009: 278-289 - 2008
- [c22]Liangdong Shi, Yang Gao, Lei Wu, Lin Shang:
Clustering with XCS on Complex Structure Dataset. Australasian Conference on Artificial Intelligence 2008: 489-499 - [c21]Liang Zhu, Bo Zhao, Yang Gao:
Multi-class Multi-instance Learning for Lung Cancer Image Classification Based on Bag Feature Selection. FSKD (2) 2008: 487-492 - [c20]Weiwei Wang, Yang Gao, Xingguo Chen, Shen Ge:
Reinforcement Learning with Markov Logic Networks. MICAI 2008: 230-242 - 2007
- [c19]Fei Chen, Yang Gao, Shifu Chen, Zhenduo Ma:
Connect-Based Subgoal Discovery for Options in Hierarchical Reinforcement Learning. ICNC (4) 2007: 698-702 - [c18]Quan Liu, Yang Gao, Zhiming Cui, WangShu Yao, ZhongWen Chen:
An Tableau Automated Theorem Proving Method Using Logical Reinforcement Learning. ISICA 2007: 262-270 - 2006
- [c17]Yang Gao, Lei Wu, Joshua Zhexue Huang:
Ensemble Learning Classifier System and Compact Ruleset. SEAL 2006: 42-49 - 2005
- [c16]Ben-Nian Wang, Yang Gao, Zhaoqian Chen, Jun-Yuan Xie, Shifu Chen:
K-Cluster Algorithm for Automatic Discovery of Subgoals in Reinforcement Learning. CIMCA/IAWTIC 2005: 658-662 - [c15]Fei Chen, Yang Gao, Zhaoqian Chen, Shifu Chen:
SCGA: Controlling Genetic Algorithms with Sarsa(0). CIMCA/IAWTIC 2005: 1177-1183 - [c14]Yang Gao, Zongwei Luo, Ning Li:
Mapping Web Usage Patterns to MDP Model and Mining with Reinforcement Learning. FSKD (2) 2005: 698-702 - [c13]Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu:
Learning classifier system ensemble for data mining. GECCO Workshops 2005: 63-66 - [c12]Daqian Gu, Yang Gao:
Incremental gradient descent imputation method for missing data in learning classifier systems. GECCO Workshops 2005: 72-73 - [c11]Chang Su, Yang Gao, Jianmei Yang, Bin Luo:
An Efficient Adaptive Focused Crawler Based on Ontology Learning. HIS 2005: 73-78 - [c10]Ben-Nian Wang, Yang Gao, Zhaoqian Chen, Jun-Yuan Xie, Shifu Chen:
LMRL: A Multi-Agent Reinforcement Learning Model and Algorithm. ICITA (1) 2005: 303-307 - [c9]Dongjun Cai, Zongwei Luo, Kun Qian, Yang Gao:
Towards Efficient Selection of Web Services with Reinforcement Learning Process. ICTAI 2005: 372-376 - [c8]Dongli Wang, Yang Gao, Pei Yang:
Applying Neural Network to Reinforcement Learning in Continuous Spaces. ISNN (1) 2005: 621-626 - [c7]Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu:
LCSE: Learning Classifier System Ensemble for Incremental Medical Instances. IWLCS 2005: 93-103 - [c6]Xun Liu, Yang Gao, Dong Shao, Ruili Wang:
Feedback based Dynamic Autonomous Web Service Composition. SKG 2005: 19 - 2004
- [c5]Ning Li, Yang Gao, Guifeng Tang, Shifu Chen:
Mining Web Sequential Patterns Using Reinforcement Learning. APWeb 2004: 920-923 - [c4]Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Zhi-Hua Zhou:
Meta-game Equilibrium for Multi-agent Reinforcement Learning. Australian Conference on Artificial Intelligence 2004: 930-936 - [c3]Pei Yang, Yang Gao, Zhaoqian Chen, Shifu Chen:
Believability Based Iterated Belief Revision. PRICAI 2004: 936-937 - 2003
- [c2]Yang Gao, Hongqiang Rong, Frank Tong, Zongwei Luo, Joshua Zhexue Huang:
Adaptive Job Scheduling for a Service Grid Using a Genetic Algorithm. GCC (2) 2003: 65-72 - [c1]Yang Gao, Zhaochun Sun, Ning Li:
How to Choose the Optimal Policy in Multi-agent Belief Revision? RSFDGrC 2003: 706-710
Parts in Books or Collections
- 2016
- [p1]Jianhui Chen, Jianhua Ma, Ning Zhong, Yiyu Yao, Jiming Liu, Runhe Huang, Wenbin Li, Zhisheng Huang, Yang Gao:
WaaS - Wisdom as a Service. Semantic Web Technologies for Intelligent Engineering Applications 2016: 27-46
Editorship
- 2022
- [e7]Xiangke Liao, Wei Zhao, Enhong Chen, Nong Xiao, Li Wang, Yang Gao, Yinghuan Shi, Changdong Wang, Dan Huang:
Big Data - 9th CCF Conference, BigData 2021, Guangzhou, China, January 8-10, 2022, Revised Selected Papers. Communications in Computer and Information Science 1496, Springer 2022, ISBN 978-981-16-9708-1 [contents] - 2020
- [e6]Matthew E. Taylor, Yang Yu, Edith Elkind, Yang Gao:
Distributed Artificial Intelligence - Second International Conference, DAI 2020, Nanjing, China, October 24-27, 2020, Proceedings. Lecture Notes in Computer Science 12547, Springer 2020, ISBN 978-3-030-64095-8 [contents] - 2017
- [e5]Hujun Yin, Yang Gao, Songcan Chen, Yimin Wen, Guoyong Cai, Tianlong Gu, Junping Du, Antonio J. Tallón-Ballesteros, Min-Ling Zhang:
Intelligent Data Engineering and Automated Learning - IDEAL 2017 - 18th International Conference, Guilin, China, October 30 - November 1, 2017, Proceedings. Lecture Notes in Computer Science 10585, Springer 2017, ISBN 978-3-319-68934-0 [contents] - 2016
- [e4]Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros:
Intelligent Data Engineering and Automated Learning - IDEAL 2016 - 17th International Conference, Yangzhou, China, October 12-14, 2016, Proceedings. Lecture Notes in Computer Science 9937, Springer 2016, ISBN 978-3-319-46256-1 [contents] - 2013
- [e3]Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Thomas Weise, Bin Li, Xin Yao:
Intelligent Data Engineering and Automated Learning - IDEAL 2013 - 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013. Proceedings. Lecture Notes in Computer Science 8206, Springer 2013, ISBN 978-3-642-41277-6 [contents] - 2010
- [e2]Fu Lee Wang, Hepu Deng, Yang Gao, Jingsheng Lei:
Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Sanya, China, October 23-24, 2010, Proceedings, Part I. Lecture Notes in Computer Science 6319, Springer 2010, ISBN 978-3-642-16529-0 [contents] - [e1]Fu Lee Wang, Hepu Deng, Yang Gao, Jingsheng Lei:
Artificial Intelligence and Computational Intelligence - International Conference, AICI 2010, Sanya, China, October 23-24, 2010, Proceedings, Part II. Lecture Notes in Computer Science 6320, Springer 2010, ISBN 978-3-642-16526-9 [contents]
Informal and Other Publications
- 2024
- [i83]Na Wang, Lei Qi, Jintao Guo, Yinghuan Shi, Yang Gao:
Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations. CoRR abs/2401.05752 (2024) - [i82]Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei, Li Sun, Mingli Song:
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios. CoRR abs/2402.02405 (2024) - [i81]Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang:
Distributionally Robust Graph-based Recommendation System. CoRR abs/2402.12994 (2024) - [i80]Shumeng Li, Lei Qi, Qian Yu, Jing Huo, Yinghuan Shi, Yang Gao:
Concatenate, Fine-tuning, Re-training: A SAM-enabled Framework for Semi-supervised 3D Medical Image Segmentation. CoRR abs/2403.11229 (2024) - [i79]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
SETA: Semantic-Aware Token Augmentation for Domain Generalization. CoRR abs/2403.11792 (2024) - [i78]Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, Yang Gao:
Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. CoRR abs/2404.00563 (2024) - [i77]Dongdong Ren, Wenbin Li, Tianyu Ding, Lei Wang, Qi Fan, Jing Huo, Hongbing Pan, Yang Gao:
ONNXPruner: ONNX-Based General Model Pruning Adapter. CoRR abs/2404.08016 (2024) - [i76]Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation. CoRR abs/2404.08951 (2024) - [i75]Zheng Gu, Shiyuan Yang, Jing Liao, Jing Huo, Yang Gao:
Analogist: Out-of-the-box Visual In-Context Learning with Image Diffusion Model. CoRR abs/2405.10316 (2024) - [i74]Lianghan Zhu, Yanqi Bao, Jing Huo, Jing Wu, Yu-Kun Lai, Wenbin Li, Yang Gao:
Zero-Shot Video Editing through Adaptive Sliding Score Distillation. CoRR abs/2406.04888 (2024) - [i73]Wanqi Yang, Haoran Wang, Lei Wang, Ge Song, Yang Gao:
EMPL: A novel Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation. CoRR abs/2407.04066 (2024) - [i72]Muyang Qiu, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation. CoRR abs/2407.11356 (2024) - [i71]Jiajun Hu, Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Learn to Preserve and Diversify: Parameter-Efficient Group with Orthogonal Regularization for Domain Generalization. CoRR abs/2407.15085 (2024) - [i70]Yanqi Bao, Tianyu Ding, Jing Huo, Yaoli Liu, Yuxin Li, Wenbin Li, Yang Gao, Jiebo Luo:
3D Gaussian Splatting: Survey, Technologies, Challenges, and Opportunities. CoRR abs/2407.17418 (2024) - [i69]Yangtao Chen, Zixuan Chen, Junhui Yin, Jing Huo, Pinzhuo Tian, Jieqi Shi, Yang Gao:
GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation. CoRR abs/2409.20154 (2024) - 2023
- [i68]Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation. CoRR abs/2303.13090 (2023) - [i67]Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks. CoRR abs/2307.16256 (2023) - [i66]Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao:
Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. CoRR abs/2308.02908 (2023) - [i65]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
DomainAdaptor: A Novel Approach to Test-time Adaptation. CoRR abs/2308.10297 (2023) - [i64]Linjian Meng, Zhenxing Ge, Wenbin Li, Bo An, Yang Gao:
Efficient Last-iterate Convergence Algorithms in Solving Games. CoRR abs/2308.11256 (2023) - [i63]Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao:
IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. CoRR abs/2308.13168 (2023) - [i62]Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, Yang Gao:
InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. CoRR abs/2308.13897 (2023) - [i61]Ze Peng, Lei Qi, Yinghuan Shi, Yang Gao:
A Theoretical Explanation of Activation Sparsity through Flat Minima and Adversarial Robustness. CoRR abs/2309.03004 (2023) - [i60]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Exploring Flat Minima for Domain Generalization with Large Learning Rates. CoRR abs/2309.06337 (2023) - [i59]Zixuan Chen, Ze Ji, Shuyang Liu, Jing Huo, Yiyu Chen, Yang Gao:
CasIL: Cognizing and Imitating Skills via a Dual Cognition-Action Architecture. CoRR abs/2309.16299 (2023) - [i58]Shuyang Liu, Zixuan Chen, Ge Shi, Ji Wang, Changjie Fan, Yu Xiong, Runze Wu Yujing Hu, Ze Ji, Yang Gao:
Rethink Baseline of Integrated Gradients from the Perspective of Shapley Value. CoRR abs/2310.04821 (2023) - [i57]Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao:
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance. CoRR abs/2312.16983 (2023) - 2022
- [i56]Guang Yang, Xingguo Chen, Shangdong Yang, Huihui Wang, Shaokang Dong, Yang Gao:
Online Attentive Kernel-Based Temporal Difference Learning. CoRR abs/2201.09065 (2022) - [i55]Kelei He, Chen Gan, Zhuoyuan Li, Islem Rekik, Zihao Yin, Wen Ji, Yang Gao, Qian Wang, Junfeng Zhang, Dinggang Shen:
Transformers in Medical Image Analysis: A Review. CoRR abs/2202.12165 (2022) - [i54]Xiao Liu, Shuyang Liu, Wenbin Li, Shangdong Yang, Yang Gao:
Keeping Minimal Experience to Achieve Efficient Interpretable Policy Distillation. CoRR abs/2203.00822 (2022) - [i53]Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao:
Playing Lottery Tickets in Style Transfer Models. CoRR abs/2203.13802 (2022) - [i52]Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao:
MutexMatch: Semi-supervised Learning with Mutex-based Consistency Regularization. CoRR abs/2203.14316 (2022) - [i51]Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao:
Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery. CoRR abs/2210.03591 (2022) - [i50]Wenbin Li, Meihao Kong, Xuesong Yang, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo:
A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix. CoRR abs/2211.14516 (2022) - 2021
- [i49]Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao:
Deep Symmetric Adaptation Network for Cross-modality Medical Image Segmentation. CoRR abs/2101.06853 (2021) - [i48]Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen:
A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning. CoRR abs/2102.03837 (2021) - [i47]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
Mining Latent Classes for Few-shot Segmentation. CoRR abs/2103.15402 (2021) - [i46]Weidong Lin, Yuyan Deng, Yang Gao, Ning Wang, Jinghao Zhou, Lingqiao Liu, Lei Zhang, Peng Wang:
CAT: Cross-Attention Transformer for One-Shot Object Detection. CoRR abs/2104.14984 (2021) - [i45]Kelei He, Wen Ji, Tao Zhou, Zhuoyuan Li, Jing Huo, Xin Zhang, Yang Gao, Dinggang Shen, Bing Zhang, Junfeng Zhang:
Cross-Modality Brain Tumor Segmentation via Bidirectional Global-to-Local Unsupervised Domain Adaptation. CoRR abs/2105.07715 (2021) - [i44]Yue Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Feature-based Style Randomization for Domain Generalization. CoRR abs/2106.03171 (2021) - [i43]Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao:
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation. CoRR abs/2106.05095 (2021) - [i42]Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao, Jiebo Luo:
Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning. CoRR abs/2107.10419 (2021) - [i41]Qian Yu, Lei Qi, Luping Zhou, Lei Wang, Yilong Yin, Yinghuan Shi, Wuzhang Wang, Yang Gao:
Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions. CoRR abs/2107.11517 (2021) - [i40]Wenbin Li, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Xuesong Yang, Ziyi Wang, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao, Jiebo Luo:
LibFewShot: A Comprehensive Library for Few-shot Learning. CoRR abs/2109.04898 (2021) - [i39]Ruiqi Wang, Lei Qi, Yinghuan Shi, Yang Gao:
Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization. CoRR abs/2110.04820 (2021) - [i38]Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao:
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation. CoRR abs/2110.08762 (2021) - [i37]Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen, Yanning Zhang:
NAS-FCOS: Efficient Search for Object Detection Architectures. CoRR abs/2110.12423 (2021) - [i36]Lulu Zheng, Jiarui Chen, Jianhao Wang, Jiamin He, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao, Chongjie Zhang:
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration. CoRR abs/2111.11032 (2021) - [i35]Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao:
Domain Generalization via Progressive Layer-wise and Channel-wise Dropout. CoRR abs/2112.03676 (2021) - [i34]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
More is Better: A Novel Multi-view Framework for Domain Generalization. CoRR abs/2112.12329 (2021) - 2020
- [i33]Haodi Hou, Jing Huo, Jing Wu, Yu-Kun Lai, Yang Gao:
MW-GAN: Multi-Warping GAN for Caricature Generation with Multi-Style Geometric Exaggeration. CoRR abs/2001.01870 (2020) - [i32]Wenbin Li, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao, Jiebo Luo:
Asymmetric Distribution Measure for Few-shot Learning. CoRR abs/2002.00153 (2020) - [i31]Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen:
Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation. CoRR abs/2002.09703 (2020) - [i30]Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao:
Generalizable Semantic Segmentation via Model-agnostic Learning and Target-specific Normalization. CoRR abs/2003.12296 (2020) - [i29]Qian Yu, Yinghuan Shi, Yefeng Zheng, Yang Gao, Jianbing Zhu, Yakang Dai:
Crossover-Net: Leveraging the Vertical-Horizontal Crossover Relation for Robust Segmentation. CoRR abs/2004.01397 (2020) - [i28]Tiexin Qin, Wenbin Li, Yinghuan Shi, Yang Gao:
Unsupervised Few-shot Learning via Distribution Shift-based Augmentation. CoRR abs/2004.05805 (2020) - [i27]Kelei He, Wei Zhao, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Feng Shi, Yang Gao, Jun Liu, Junfeng Zhang, Dinggang Shen:
Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images. CoRR abs/2005.03832 (2020) - [i26]Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yinghuan Shi, Yang Gao, Bing Zhang, Junfeng Zhang, Dinggang Shen:
TripletUNet: Multi-Task U-Net with Online Voxel-Wise Learning for Precise CT Prostate Segmentation. CoRR abs/2005.07462 (2020) - [i25]Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang, Dinggang Shen:
HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation. CoRR abs/2005.10439 (2020) - [i24]Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao:
Manifold Alignment for Semantically Aligned Style Transfer. CoRR abs/2005.10777 (2020) - [i23]Wen Ji, Kelei He, Jing Huo, Zheng Gu, Yang Gao:
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition. CoRR abs/2007.09344 (2020) - [i22]Yinghuan Shi, Wanqi Yang, Kim-Han Thung, Hao Wang, Yang Gao, Yang Pan, Li Zhang, Dinggang Shen:
Learning-based Computer-aided Prescription Model for Parkinson's Disease: A Data-driven Perspective. CoRR abs/2007.16103 (2020) - [i21]Zheng Gu, Chuanqi Dong, Jing Huo, Wenbin Li, Yang Gao:
CariMe: Unpaired Caricature Generation with Multiple Exaggerations. CoRR abs/2010.00246 (2020) - 2019
- [i20]Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo:
Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning. CoRR abs/1903.12290 (2019) - [i19]Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao:
A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification. CoRR abs/1904.03425 (2019) - [i18]Ning Wang, Yang Gao, Hao Chen, Peng Wang, Zhi Tian, Chunhua Shen:
NAS-FCOS: Fast Neural Architecture Search for Object Detection. CoRR abs/1906.04423 (2019) - [i17]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. CoRR abs/1907.11461 (2019) - [i16]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification. CoRR abs/1908.00862 (2019) - [i15]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification. CoRR abs/1908.05142 (2019) - [i14]Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao:
Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification. CoRR abs/1908.05669 (2019) - [i13]Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao:
From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. CoRR abs/1909.02790 (2019) - [i12]Wenbin Li, Lei Wang, Xingxing Zhang, Jing Huo, Yang Gao, Jiebo Luo:
Defensive Few-shot Adversarial Learning. CoRR abs/1911.06968 (2019) - [i11]Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao:
Differentiable Meta-learning Model for Few-shot Semantic Segmentation. CoRR abs/1911.10371 (2019) - [i10]Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao:
Multi-Agent Game Abstraction via Graph Attention Neural Network. CoRR abs/1911.10715 (2019) - 2018
- [i9]Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao:
MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification. CoRR abs/1804.03864 (2018) - [i8]Haodi Hou, Jing Huo, Yang Gao:
Cross-Domain Adversarial Auto-Encoder. CoRR abs/1804.06078 (2018) - [i7]Jinquan Sun, Yinghuan Shi, Yang Gao, Lei Wang, Luping Zhou, Wanqi Yang, Dinggang Shen:
Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning. CoRR abs/1804.10481 (2018) - [i6]Qian Yu, Yinghuan Shi, Jinquan Sun, Yang Gao, Yakang Dai, Jianbing Zhu:
Crossbar-Net: A Novel Convolutional Network for Kidney Tumor Segmentation in CT Images. CoRR abs/1804.10484 (2018) - [i5]Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo:
Online Deep Metric Learning. CoRR abs/1805.05510 (2018) - [i4]Wenbin Li, Wei Xiong, Haofu Liao, Jing Huo, Yang Gao, Jiebo Luo:
CariGAN: Caricature Generation through Weakly Paired Adversarial Learning. CoRR abs/1811.00445 (2018) - 2017
- [i3]Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin:
WebCaricature: a benchmark for caricature face recognition. CoRR abs/1703.03230 (2017) - 2016
- [i2]Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi:
OPML: A One-Pass Closed-Form Solution for Online Metric Learning. CoRR abs/1609.09178 (2016) - 2014
- [i1]Yonghong Yu, Can Wang, Yang Gao:
Attributes Coupling based Item Enhanced Matrix Factorization Technique for Recommender Systems. CoRR abs/1405.0770 (2014)
Coauthor Index
[j124] [j119] [j109] [j102] [j101] [j99] [j94] [j92] [j83] [j81] [j77] [j73] [j69] [j65] [j63] [j59] [j54] [j52] [j41] [j39] [j37] [j36] [j20] [c149] [c144] [c138] [c129] [c127] [c121] [c111] [c109] [c107] [c102] [c99] [c98] [c96] [c95] [c94] [c93] [c92] [c91] [c87] [c86] [c83] [c82] [c81] [c77] [c71] [c65] [c56] [c51] [c42] [i80] [i78] [i77] [i75] [i74] [i70] [i69] [i66] [i62] [i59] [i53] [i51] [i50] [i45] [i42] [i40] [i33] [i32] [i26] [i24] [i23] [i21] [i20] [i19] [i16] [i15] [i14] [i12] [i9] [i8] [i5] [i4] [i3] [i2]
[j124] [j119] [j118] [j116] [j113] [j106] [j102] [j101] [j99] [j94] [j92] [j91] [j86] [j81] [j77] [j76] [j65] [j55] [j54] [j39] [c144] [c141] [c133] [c132] [c129] [c125] [c121] [c120] [c111] [c109] [c107] [c99] [c98] [c96] [c94] [c93] [c81] [c77] [c74] [c70] [c53] [i78] [i77] [i74] [i70] [i66] [i64] [i62] [i54] [i53] [i51] [i50] [i42] [i40] [i32] [i28] [i24] [i21] [i20] [i12] [i5] [i4] [i3] [i2]
[j115] [j114] [j112] [j111] [j108] [j102] [j100] [j95] [j84] [j83] [j82] [j80] [j79] [j78] [j70] [j59] [j52] [j41] [c152] [c148] [c146] [c145] [c130] [c124] [c123] [c122] [c117] [c116] [c115] [c110] [c104] [c99] [c97] [c92] [c91] [c76] [c71] [c59] [i83] [i80] [i79] [i76] [i72] [i71] [i68] [i67] [i65] [i63] [i61] [i60] [i57] [i52] [i49] [i48] [i47] [i44] [i43] [i41] [i39] [i38] [i35] [i34] [i30] [i19] [i16] [i15] [i14] [i11] [i9]
[j115] [j114] [j112] [j111] [j108] [j101] [j100] [j95] [j92] [j88] [j84] [j83] [j82] [j80] [j79] [j78] [j75] [j70] [j67] [j66] [j62] [j59] [j53] [j52] [j51] [j50] [j45] [j44] [j42] [j41] [j39] [j37] [j36] [j35] [j29] [j28] [j26] [j23] [j22] [j14] [j10] [j6] [c152] [c148] [c146] [c145] [c130] [c124] [c123] [c122] [c118] [c117] [c116] [c115] [c110] [c109] [c104] [c101] [c97] [c96] [c92] [c91] [c86] [c82] [c81] [c78] [c77] [c76] [c74] [c70] [c69] [c68] [c67] [c66] [c65] [c61] [c59] [c58] [c56] [c53] [c52] [c51] [c50] [c49] [c48] [c39] [c37] [c32] [c29] [c26] [e7] [i83] [i80] [i79] [i76] [i72] [i71] [i68] [i67] [i65] [i63] [i61] [i60] [i57] [i52] [i49] [i48] [i47] [i44] [i43] [i41] [i40] [i39] [i38] [i35] [i34] [i32] [i31] [i30] [i29] [i28] [i26] [i24] [i22] [i19] [i16] [i15] [i14] [i11] [i9] [i7] [i6] [i5] [i3] [i2]
Yu-Bin Yang
aka: Yubin Yang
aka: Yubin Yang
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