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ORCIDYong Xu 0007
Person information
- affiliation: South China University of Technology, School of Computer Science and Engineering, Guangzhou, China
- affiliation (PhD 1999): Nanjing University, Department of Mathematics, China
Other persons with the same name
- Yong Xu — disambiguation page
- Yong Xu 0001
![[0000-0003-0530-2123]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0530-2123")
— Harbin Institute of Technology, Shenzhen Graduate School, Bio-Computing Research Centre, China (and 1 more) - Yong Xu 0002 (aka: Eric Yong Xu) — The Chinese University of Hong Kong, Institute of Future Cities, Hong Kong
- Yong Xu 0003 — Guangdong University of Technology, School of Automation, Guangzhou, China (and 3 more)
- Yong Xu 0004 — Tencent America LLC, Seattle, USA (and 2 more)
- Yong Xu 0005 — Zhejiang University, Institute of Cyber-Systems and Control, National Laboratory of Industrial Control Technology, Yuquan Campus, Hangzhou, China
- Yong Xu 0006 — University of Paris-Saclay, France
- Yong Xu 0008 — Fudan University, Shanghai, China
- Yong Xu 0009 — Xiamen University, School of Film, Department of Digital Media, Xiamen, China (and 6 more)
- Yong Xu 0010 — Microsoft Research, Beijing, China
- Yong Xu 0011 — Northwestern Polytechnical University, Department of Mathematics and Statistics, Xi'an, China
- Yong Xu 0012 — Tokyo University of Agriculture and Technology, Division of Advanced Information Technology and Computer Science, Institute of Engineering, Japan (and 1 more)
- Yong Xu 0013 — Beihang University, Institute of Unmanned Systems, Key Laboratory of Advanced Technology of Intelligent Unmanned Flight Systems, School of Electronic and Information Engineering, Beijing, China
- Yong Xu 0014 — State Grid Hunan Integrated Energy Service Company Ltd., Technology Research and Development Center, Changsha, China (and 1 more)
- Yong Xu 0015 — University of Cincinnati, Wireless and Mobile Networking Laboratory, OH, USA
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2020 – today
- 2025
[j61]Yan Huang, Xinchang Lu, Yuhui Quan, Yong Xu, Hui Ji:
Image shadow removal via multi-scale deep Retinex decomposition. Pattern Recognit. 159: 111126 (2025)- 2024
- [j60]Chi Zhang, Lingyu Liang, Jijun Zhou, Yong Xu:
Multi-view depth estimation based on multi-feature aggregation for 3D reconstruction. Comput. Graph. 122: 103954 (2024) - [j59]Yong Xu, Shaohui Pan, Ruotao Xu, Haibin Ling:
View-aligned pixel-level feature aggregation for 3D shape classification. Comput. Vis. Image Underst. 248: 104098 (2024) - [j58]Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang:
Universal Object Detection with Large Vision Model. Int. J. Comput. Vis. 132(4): 1258-1276 (2024) - [j57]Zhile Chen, Yuhui Quan, Ruotao Xu, Lianwen Jin, Yong Xu:
Enhancing texture representation with deep tracing pattern encoding. Pattern Recognit. 146: 109959 (2024) - [j56]Xuyi He, Yuhui Quan, Yong Xu, Ruotao Xu:
Image Smoothing via Multiscale Global Perception. IEEE Signal Process. Lett. 31: 411-415 (2024) - [j55]Yong Xu, Zhiyu Wei, Ruotao Xu, Zihan Zhou, Zhuliang Yu:
Spatial Adaptive Filter Network With Scale-Sharing Convolution for Image Demoiréing. IEEE Signal Process. Lett. 31: 2495-2499 (2024) - [j54]Yong Xu, Xin Yao, Baoling Liu, Yuhui Quan, Hui Ji:
Text-Guided Portrait Image Matting. IEEE Trans. Artif. Intell. 5(8): 4149-4162 (2024) - [j53]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo:
Multi-Behavior Graph Neural Networks for Recommender System. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5473-5487 (2024) - [c59]Shaohui Pan, Yong Xu, Ruotao Xu:
PU-SDF: Arbitrary-Scale Uniformly Upsampling Point Clouds via Signed Distance Functions. 3DV 2024: 1320-1329 - [c58]Wen Xue, Le Jiang, Lianxin Xie, Si Wu, Yong Xu, Hau-San Wong:
VRetouchEr: Learning Cross-Frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos. CVPR 2024: 9141-9150 - [c57]Feifan Xu, Rui Li, Si Wu, Yong Xu, Hau-San Wong:
Text-Conditional Attribute Alignment Across Latent Spaces for 3D Controllable Face Image Synthesis. CVPR 2024: 9172-9181 - [c56]Liting Lin, Heng Fan, Zhipeng Zhang, Yaowei Wang, Yong Xu, Haibin Ling:
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance. ECCV (1) 2024: 300-318 - [c55]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. ICML 2024 - [c54]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. KDD 2024: 5351-5362 - [c53]Yuhui Quan, Xiaoheng Tan, Yan Huang, Yong Xu, Hui Ji:
Enhancing Underwater Images via Asymmetric Multi-Scale Invertible Networks. ACM Multimedia 2024: 6182-6191 - [c52]Chi Zhang, Lingyu Liang, Jijun Zhou, Yong Xu:
Multi-view Depth Estimation with Adaptive Feature Extraction and Region-Aware Depth Prediction. PRCV (6) 2024: 32-45 - [c51]Zihan Zhou, Yong Xu, Xi Wan, Yuhui Quan, Ruotao Xu, Jing Li, Patrick Le Callet:
No-Reference Image Quality Assessment Using Local Binary Patterns: A Comprehensive Performance Evaluation. QoEVMA@MM 2024: 2-11 - [i36]Zhonghang Li, Lianghao Xia, Jiabin Tang, Yong Xu, Lei Shi, Long Xia, Dawei Yin, Chao Huang:
UrbanGPT: Spatio-Temporal Large Language Models. CoRR abs/2403.00813 (2024) - [i35]Liting Lin, Heng Fan, Zhipeng Zhang, Yaowei Wang, Yong Xu, Haibin Ling:
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance. CoRR abs/2403.05231 (2024) - [i34]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction. CoRR abs/2405.17898 (2024) - [i33]Zhonghang Li, Long Xia, Lei Shi, Yong Xu, Dawei Yin, Chao Huang:
OpenCity: Open Spatio-Temporal Foundation Models for Traffic Prediction. CoRR abs/2408.10269 (2024) - 2023
- [j52]Mingqin Chen, Yuhui Quan, Yong Xu, Hui Ji:
Self-Supervised Blind Image Deconvolution via Deep Generative Ensemble Learning. IEEE Trans. Circuits Syst. Video Technol. 33(2): 634-647 (2023) - [j51]Yuhui Quan, Xiaoheng Tan, Yan Huang, Yong Xu, Hui Ji:
Image Desnowing via Deep Invertible Separation. IEEE Trans. Circuits Syst. Video Technol. 33(7): 3133-3144 (2023) - [j50]Lianghao Xia, Chao Huang, Yong Xu, Jian Pei:
Multi-Behavior Sequential Recommendation With Temporal Graph Transformer. IEEE Trans. Knowl. Data Eng. 35(6): 6099-6112 (2023) - [c50]Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, Boxin Shi:
Coherent Event Guided Low-Light Video Enhancement. ICCV 2023: 10581-10591 - [c49]Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei:
Disentangled Graph Social Recommendation. ICDE 2023: 2332-2344 - [c48]Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring. ISSTA 2023: 740-752 - [c47]Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
EALink: An Efficient and Accurate Pre-Trained Framework for Issue-Commit Link Recovery. ASE 2023: 217-229 - [c46]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. NeurIPS 2023 - [c45]Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang:
Graph Transformer for Recommendation. SIGIR 2023: 1680-1689 - [c44]Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo:
Heterogeneous Graph Contrastive Learning for Recommendation. WSDM 2023: 544-552 - [c43]Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu:
Graph-less Collaborative Filtering. WWW 2023: 17-27 - [i32]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo:
Multi-Behavior Graph Neural Networks for Recommender System. CoRR abs/2302.08678 (2023) - [i31]Mengru Chen, Chao Huang, Lianghao Xia, Wei Wei, Yong Xu, Ronghua Luo:
Heterogeneous Graph Contrastive Learning for Recommendation. CoRR abs/2303.00995 (2023) - [i30]Lianghao Xia, Yizhen Shao, Chao Huang, Yong Xu, Huance Xu, Jian Pei:
Disentangled Graph Social Recommendation. CoRR abs/2303.07810 (2023) - [i29]Lianghao Xia, Chao Huang, Jiao Shi, Yong Xu:
Graph-less Collaborative Filtering. CoRR abs/2303.08537 (2023) - [i28]Hao Liu, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
RefBERT: A Two-Stage Pre-trained Framework for Automatic Rename Refactoring. CoRR abs/2305.17708 (2023) - [i27]Chaoliu Li, Lianghao Xia, Xubin Ren, Yaowen Ye, Yong Xu, Chao Huang:
Graph Transformer for Recommendation. CoRR abs/2306.02330 (2023) - [i26]Chenyuan Zhang, Yanlin Wang, Zhao Wei, Yong Xu, Juhong Wang, Hui Li, Rongrong Ji:
EALink: An Efficient and Accurate Pre-trained Framework for Issue-Commit Link Recovery. CoRR abs/2308.10759 (2023) - [i25]Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang:
GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks. CoRR abs/2311.04245 (2023) - 2022
- [j49]Xiyue Zhang, Yong Xu, Yizhen Shao:
Forecasting traffic flow with spatial-temporal convolutional graph attention networks. Neural Comput. Appl. 34(18): 15457-15479 (2022) - [j48]Zhuojie Chen, Xin Yao, Yong Xu, Junle Wang, Yuhui Quan:
Unsupervised knowledge transfer for nonblind image deconvolution. Pattern Recognit. Lett. 164: 232-238 (2022) - [j47]Yong Xu, Baoling Liu, Yuhui Quan, Hui Ji:
Unsupervised Deep Background Matting Using Deep Matte Prior. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4324-4337 (2022) - [j46]Jinxiu Liang, Yong Xu, Yuhui Quan, Boxin Shi, Hui Ji:
Self-Supervised Low-Light Image Enhancement Using Discrepant Untrained Network Priors. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7332-7345 (2022) - [j45]Lingyu Liang, Lianwen Jin, Yong Xu:
PDE Learning of Filtering and Propagation for Task-Aware Facial Intrinsic Image Analysis. IEEE Trans. Cybern. 52(2): 1021-1034 (2022) - [j44]Sihao Lin, Wenhao Wu, Si Wu, Yong Xu, Hau-San Wong:
Unreliable-to-Reliable Instance Translation for Semi-Supervised Pedestrian Detection. IEEE Trans. Multim. 24: 728-739 (2022) - [j43]Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, Yong Xu:
Recurrent Exposure Generation for Low-Light Face Detection. IEEE Trans. Multim. 24: 1609-1621 (2022) - [j42]Tianyi Chen, Si Wu, Xuhui Yang, Yong Xu, Hau-San Wong:
Semantic Regularized Class-Conditional GANs for Semi-Supervised Fine-Grained Image Synthesis. IEEE Trans. Multim. 24: 2975-2985 (2022) - [j41]Yuhui Quan, Peikang Lin, Yong Xu, Yuesong Nan, Hui Ji:
Nonblind Image Deblurring via Deep Learning in Complex Field. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5387-5400 (2022) - [j40]Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang:
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. ACM Trans. Inf. Syst. 40(1): 10:1-10:22 (2022) - [c42]Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian:
Fine-Grained Object Classification via Self-Supervised Pose Alignment. CVPR 2022: 7389-7398 - [c41]Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong:
SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. CVPR 2022: 9991-10000 - [c40]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, Zhenhua 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 - [c39]Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei:
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. ICDE 2022: 2984-2996 - [c38]Zihan Zhou, Yong Xu, Yuhui Quan, Ruotao Xu:
Deep Blind Image Quality Assessment Using Dual-Order Statistics. ICME 2022: 1-6 - [c37]Zihan Zhou, Yong Xu, Ruotao Xu, Yuhui Quan:
No-Reference Image Quality Assessment Using Dynamic Complex-Valued Neural Model. ACM Multimedia 2022: 1006-1015 - [c36]Liting Lin, Heng Fan, Zhipeng Zhang, Yong Xu, Haibin Ling:
SwinTrack: A Simple and Strong Baseline for Transformer Tracking. NeurIPS 2022 - [c35]Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy X. Huang:
Hypergraph Contrastive Collaborative Filtering. SIGIR 2022: 70-79 - [c34]Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin:
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. WSDM 2022: 1120-1128 - [i24]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo:
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. CoRR abs/2201.02307 (2022) - [i23]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction. CoRR abs/2201.02435 (2022) - [i22]Lianghao Xia, Chao Huang, Yong Xu, Huance Xu, Xiang Li, Weiguo Zhang:
Collaborative Reflection-Augmented Autoencoder Network for Recommender Systems. CoRR abs/2201.03158 (2022) - [i21]Wei Wei, Chao Huang, Lianghao Xia, Yong Xu, Jiashu Zhao, Dawei Yin:
Contrastive Meta Learning with Behavior Multiplicity for Recommendation. CoRR abs/2202.08523 (2022) - [i20]Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian:
Fine-Grained Object Classification via Self-Supervised Pose Alignment. CoRR abs/2203.15987 (2022) - [i19]Zhonghang Li, Chao Huang, Lianghao Xia, Yong Xu, Jian Pei:
Spatial-Temporal Hypergraph Self-Supervised Learning for Crime Prediction. CoRR abs/2204.08587 (2022) - [i18]Lianghao Xia, Chao Huang, Yong Xu, Jiashu Zhao, Dawei Yin, Jimmy Xiangji Huang:
Hypergraph Contrastive Collaborative Filtering. CoRR abs/2204.12200 (2022) - [i17]Lianghao Xia, Chao Huang, Yong Xu, Jian Pei:
Multi-Behavior Sequential Recommendation with Temporal Graph Transformer. CoRR abs/2206.02687 (2022) - [i16]Feng Lin, Wenze Hu, Yaowei Wang, Yonghong Tian, Guangming Lu, Fanglin Chen, Yong Xu, Xiaoyu Wang:
Million-scale Object Detection with Large Vision Model. CoRR abs/2212.09408 (2022) - 2021
- [j39]Yan Huang, Zihan Zhou, Xiangyu Sai, Yong Xu, Yuexian Zou:
Hierarchical hashing-based multi-source image retrieval method for image denoising. Appl. Soft Comput. 113(Part): 108028 (2021) - [j38]Yong Xu, Ye Zhu, Yuhui Quan, Hui Ji:
Attentive deep network for blind motion deblurring on dynamic scenes. Comput. Vis. Image Underst. 205: 103169 (2021) - [j37]Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling:
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark. Int. J. Comput. Vis. 129(2): 439-461 (2021) - [j36]Boxi Yu, Yong Xu, Yan Huang, Shuai Yang, Jiaying Liu:
Mask-guided GAN for robust text editing in the scene. Neurocomputing 441: 192-201 (2021) - [j35]Yuhui Quan, Yixin Chen, Yizhen Shao, Huan Teng, Yong Xu, Hui Ji:
Image denoising using complex-valued deep CNN. Pattern Recognit. 111: 107639 (2021) - [j34]Yong Xu, Haoyang Zou, Yan Huang, Lianwen Jin, Haibin Ling:
Super-resolving blurry face images with identity preservation. Pattern Recognit. Lett. 146: 158-164 (2021) - [j33]Ruotao Xu, Yong Xu, Yuhui Quan:
Structure-Texture Image Decomposition Using Discriminative Patch Recurrence. IEEE Trans. Image Process. 30: 1542-1555 (2021) - [j32]Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan, Haibin Ling:
Multi-View 3D Shape Recognition via Correspondence-Aware Deep Learning. IEEE Trans. Image Process. 30: 5299-5312 (2021) - [j31]Ruotao Xu, Yong Xu, Yuhui Quan:
Factorized Tensor Dictionary Learning for Visual Tensor Data Completion. IEEE Trans. Multim. 23: 1225-1238 (2021) - [c33]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. AAAI 2021: 4115-4122 - [c32]Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang:
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. AAAI 2021: 4123-4130 - [c31]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. AAAI 2021: 4486-4493 - [c30]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. AAAI 2021: 15008-15015 - [c29]Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. CIKM 2021: 1160-1169 - [c28]Zhile Chen, Feng Li, Yuhui Quan, Yong Xu, Hui Ji:
Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity. CVPR 2021: 5231-5240 - [c27]Xiaowei Liao, Yong Xu, Haibin Ling:
Hypergraph Neural Networks for Hypergraph Matching. ICCV 2021: 1246-1255 - [c26]Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong:
Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. ICCV 2021: 9244-9253 - [c25]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Mengyin Lu, Liefeng Bo:
Multi-Behavior Enhanced Recommendation with Cross-Interaction Collaborative Relation Modeling. ICDE 2021: 1931-1936 - [c24]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen:
Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning. IJCAI 2021: 1631-1637 - [c23]Guanyue Li, Yi Liu, Xiwen Wei, Yang Zhang, Si Wu, Yong Xu, Hau-San Wong:
Discovering Density-Preserving Latent Space Walks in GANs for Semantic Image Transformations. ACM Multimedia 2021: 1562-1570 - [c22]Yong Xu, Feng Li, Zhile Chen, Jinxiu Liang, Yuhui Quan:
Encoding Spatial Distribution of Convolutional Features for Texture Representation. NeurIPS 2021: 22732-22744 - [c21]Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo:
Graph Meta Network for Multi-Behavior Recommendation. SIGIR 2021: 757-766 - [i15]Cong Wang, Yan Huang, Yuexian Zou, Yong Xu:
FWB-Net: Front White Balance Network for Color Shift Correction in Single Image Dehazing via Atmospheric Light Estimation. CoRR abs/2101.08465 (2021) - [i14]Xiaoling Long, Chao Huang, Yong Xu, Huance Xu, Peng Dai, Lianghao Xia, Liefeng Bo:
Social Recommendation with Self-Supervised Metagraph Informax Network. CoRR abs/2110.03958 (2021) - [i13]Lianghao Xia, Yong Xu, Chao Huang, Peng Dai, Liefeng Bo:
Graph Meta Network for Multi-Behavior Recommendation. CoRR abs/2110.03969 (2021) - [i12]Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye:
Knowledge-aware Coupled Graph Neural Network for Social Recommendation. CoRR abs/2110.03987 (2021) - [i11]Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang:
Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation. CoRR abs/2110.03996 (2021) - [i10]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo:
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation. CoRR abs/2110.04000 (2021) - [i9]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo:
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. CoRR abs/2110.04002 (2021) - [i8]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, Yu Zheng:
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network. CoRR abs/2110.04038 (2021) - [i7]Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin:
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. CoRR abs/2110.04039 (2021) - [i6]Liting Lin, Heng Fan, Yong Xu, Haibin Ling:
SwinTrack: A Simple and Strong Baseline for Transformer Tracking. CoRR abs/2112.00995 (2021) - 2020
- [j30]Zihan Zhou, Jing Li, Yong Xu, Yuhui Quan:
Full-reference image quality metric for blurry images and compressed images using hybrid dictionary learning. Neural Comput. Appl. 32(16): 12403-12415 (2020) - [j29]Jiayi Peng, Yong Xu, Tianyi Chen, Yan Huang:
Single-image raindrop removal using concurrent channel-spatial attention and long-short skip connections. Pattern Recognit. Lett. 131: 121-127 (2020) - [j28]Ruotao Xu, Yong Xu, Yuhui Quan, Hui Ji:
Cartoon-Texture Image Decomposition using Orientation Characteristics in Patch Recurrence. SIAM J. Imaging Sci. 13(3): 1179-1210 (2020) - [j27]Yan Huang, Yuhui Quan, Yong Xu, Ruotao Xu, Hui Ji:
Removing Reflection From a Single Image With Ghosting Effect. IEEE Trans. Computational Imaging 6: 34-45 (2020) - [j26]Yuhui Quan, Jieting Yang, Yixin Chen, Yong Xu, Hui Ji:
Collaborative Deep Learning for Super-Resolving Blurry Text Images. IEEE Trans. Computational Imaging 6: 778-790 (2020) - [j25]Xuhui Yang, Yong Xu, Yuhui Quan, Hui Ji:
Image Denoising via Sequential Ensemble Learning. IEEE Trans. Image Process. 29: 5038-5049 (2020) - [j24]Wenhan Yang, Ye Yuan, Wenqi Ren, Jiaying Liu, Walter J. Scheirer, Zhangyang Wang, Taiheng Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Yuqiang Zheng, Yanyun Qu, Yuhong Xie, Liang Chen, Zhonghao Li, Chen Hong, Hao Jiang, Siyuan Yang, Yan Liu, Xiaochao Qu, Pengfei Wan, Shuai Zheng, Minhui Zhong, Taiyi Su, Lingzhi He, Yandong Guo, Yao Zhao, Zhenfeng Zhu, Jinxiu Liang, Jingwen Wang, Tianyi Chen, Yuhui Quan, Yong Xu, Bo Liu, Xin Liu, Qi Sun, Tingyu Lin, Xiaochuan Li, Feng Lu, Lin Gu, Shengdi Zhou, Cong Cao, Shifeng Zhang, Cheng Chi, Chubin Zhuang, Zhen Lei, Stan Z. Li, Shizheng Wang, Ruizhe Liu, Dong Yi, Zheming Zuo, Jianning Chi, Huan Wang, Kai Wang, Yixiu Liu, Xingyu Gao, Zhenyu Chen, Chang Guo, Yongzhou Li, Huicai Zhong, Jing Huang, Heng Guo, Jianfei Yang, Wenjuan Liao, Jiangang Yang, Liguo Zhou, Mingyue Feng, Likun Qin:
Advancing Image Understanding in Poor Visibility Environments: A Collective Benchmark Study. IEEE Trans. Image Process. 29: 5737-5752 (2020) - [c20]Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia:
Spatial-Temporal Convolutional Graph Attention Networks for Citywide Traffic Flow Forecasting. CIKM 2020: 1853-1862 - [c19]Yong Xu, Jiahui Chen, Chao Huang, Bo Zhang, Hao Xing, Peng Dai, Liefeng Bo:
Joint Modeling of Local and Global Behavior Dynamics for Session-Based Recommendation. ECAI 2020: 545-552 - [c18]Heng Fan, Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Haibin Ling, Mubarak Shah, Biao Wang, Bin Dong, Di Yuan, Dong Wang, Dongjie Zhou, Haoyang Sun, Hossein Ghanei-Yakhdan, Huchuan Lu, Javad Khaghani, Jinghao Zhou, Keyang Wang, Lei Pang, Lei Zhang, Li Cheng, Liting Lin, Lu Ding, Nana Fan, Peng Wang, Penghao Zhang, Ruiyan Ma, Seyed Mojtaba Marvasti-Zadeh, Shohreh Kasaei, Shuhao Chen, Simiao Lai, Tianyang Xu, Wentao He, Xiaojun Wu, Xin Hou, Xuefeng Zhu, Yanjie Gao, Yanyun Zhao, Yong Wang, Yong Xu, Yubo Sun, Yuting Yang, Yuxuan Li, Zezhou Wang, Zhenwei He, Zhenyu He, Zhipeng Luo, Zhongjian Huang, Zhongzhou Zhang, Zikai Zhang, Zitong Yi:
VisDrone-SOT2020: The Vision Meets Drone Single Object Tracking Challenge Results. ECCV Workshops (4) 2020: 728-749 - [c17]Huance Xu, Chao Huang, Yong Xu, Lianghao Xia, Hao Xing, Dawei Yin:
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks. ICDM 2020: 701-710 - [c16]Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Bo Zhang, Liefeng Bo:
Multiplex Behavioral Relation Learning for Recommendation via Memory Augmented Transformer Network. SIGIR 2020: 2397-2406 - [i5]Jinxiu Liang, Yong Xu, Yuhui Quan, Jingwen Wang, Haibin Ling, Hui Ji:
Deep Bilateral Retinex for Low-Light Image Enhancement. CoRR abs/2007.02018 (2020) - [i4]Jinxiu Liang, Jingwen Wang, Yuhui Quan, Tianyi Chen, Jiaying Liu, Haibin Ling, Yong Xu:
Recurrent Exposure Generation for Low-Light Face Detection. CoRR abs/2007.10963 (2020) - [i3]Heng Fan, Hexin Bai, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Harshit, Mingzhen Huang, Juehuan Liu, Yong Xu, Chunyuan Liao, Lin Yuan, Haibin Ling:
LaSOT: A High-quality Large-scale Single Object Tracking Benchmark. CoRR abs/2009.03465 (2020)
2010 – 2019
- 2019
- [j23]Yong Xu, Chaoda Zheng, Ruotao Xu, Yuhui Quan:
Deeply Exploiting Long-Term View Dependency for 3D Shape Recognition. IEEE Access 7: 111678-111691 (2019) - [j22]Yifan Wu, Fan Yang, Yong Xu, Haibin Ling:
Privacy-Protective-GAN for Privacy Preserving Face De-Identification. J. Comput. Sci. Technol. 34(1): 47-60 (2019) - [j21]Tangquan Qi, Yong Xu, Haibin Ling:
Tourism scene classification based on multi-stage transfer learning model. Neural Comput. Appl. 31(8): 4341-4352 (2019) - [j20]Yan Huang, Yuhui Quan, Tao Liu, Yong Xu:
Exploiting label consistency in structured sparse representation for classification. Neural Comput. Appl. 31(10): 6509-6520 (2019) - [j19]Jinxiu Liang, Yong Xu, Chenglong Bao, Yuhui Quan, Hui Ji:
Barzilai-Borwein-based adaptive learning rate for deep learning. Pattern Recognit. Lett. 128: 197-203 (2019) - [c15]Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling:
LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking. CVPR 2019: 5374-5383 - [c14]Lingyu Liang, Lianwen Jin, Yong Xu:
Adaptive GNN for Image Analysis and Editing. NeurIPS 2019: 3638-3649 - [c13]Chaoda Zheng, Yong Xu, Ruotao Xu, Hongyu Chi, Yuhui Quan:
Multi-view Rank Pooling for 3D Object Recognition*. VCIP 2019: 1-4 - 2018
- [j18]Yong Xu, Qian Zhang, Lin Wang:
Metric forests based on Gaussian mixture model for visual image classification. Soft Comput. 22(2): 499-509 (2018) - [j17]Si Wu, Shufeng Wang, Robert Laganière, Cheng Liu, Hau-San Wong, Yong Xu:
Exploiting Target Data to Learn Deep Convolutional Networks for Scene-Adapted Human Detection. IEEE Trans. Image Process. 27(3): 1418-1432 (2018) - [j16]Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong, Zhiwen Yu, Yong Xu:
Semi-Supervised Image Classification With Self-Paced Cross-Task Networks. IEEE Trans. Multim. 20(4): 851-865 (2018) - [i2]Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling:
LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking. CoRR abs/1809.07845 (2018) - [i1]Ruotao Xu, Yuhui Quan, Yong Xu:
Image Cartoon-Texture Decomposition Using Isotropic Patch Recurrence. CoRR abs/1811.04208 (2018) - 2017
- [j15]Yuhui Quan, Yuping Sun, Yong Xu:
Spatiotemporal lacunarity spectrum for dynamic texture classification. Comput. Vis. Image Underst. 165: 85-96 (2017) - [j14]Tangquan Qi, Yong Xu, Yuhui Quan, Yaodong Wang, Haibin Ling:
Image-based action recognition using hint-enhanced deep neural networks. Neurocomputing 267: 475-488 (2017) - 2016
- [j13]Qian Zhang, Yong Xu:
Block-based selection random forest for texture classification using multi-fractal spectrum feature. Neural Comput. Appl. 27(3): 593-602 (2016) - [j12]Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang:
Supervised dictionary learning with multiple classifier integration. Pattern Recognit. 55: 247-260 (2016) - [c12]Yuhui Quan, Yong Xu, Yuping Sun, Yan Huang, Hui Ji:
Sparse Coding for Classification via Discrimination Ensemble. CVPR 2016: 5839-5847 - 2015
- [j11]Lingyu Liang, Lianwen Jin, Xin Zhang, Yong Xu:
Multiple Facial Image Editing Using Edge-Aware PDE Learning. Comput. Graph. Forum 34(7): 203-212 (2015) - [j10]Yong Xu, Yuping Sun, Yuhui Quan, Bo Zheng:
Discriminative structured dictionary learning with hierarchical group sparsity. Comput. Vis. Image Underst. 136: 59-68 (2015) - [j9]Yong Xu, Yuhui Quan, Zhuming Zhang, Haibin Ling, Hui Ji:
Classifying dynamic textures via spatiotemporal fractal analysis. Pattern Recognit. 48(10): 3239-3248 (2015) - [j8]Delei Liu, Yong Xu, Yuhui Quan, Zhiwen Yu, Patrick Le Callet:
Directional regularity for visual quality estimation. Signal Process. 110: 211-221 (2015) - [c11]Yong Xu, Yuping Sun, Yuhui Quan, Yu Luo:
Structured Sparse Coding for Classification via Reweighted l 2, 1 Minimization. CCCV (1) 2015: 189-199 - [c10]Yu Luo, Yong Xu, Hui Ji:
Removing Rain from a Single Image via Discriminative Sparse Coding. ICCV 2015: 3397-3405 - [c9]Yuping Sun, Yong Xu, Yuhui Quan:
Characterizing dynamic textures with space-time lacunarity analysis. ICME 2015: 1-6 - 2014
- [j7]Yuhui Quan, Yong Xu, Yuping Sun:
A distinct and compact texture descriptor. Image Vis. Comput. 32(4): 250-259 (2014) - [j6]Delei Liu, Yong Xu, Yuhui Quan, Patrick Le Callet:
Reduced reference image quality assessment using regularity of phase congruency. Signal Process. Image Commun. 29(8): 844-855 (2014) - [j5]Yuanqing Li, Zhuliang Yu, Ning Bi, Yong Xu, Zhenghui Gu, Shun-ichi Amari:
Sparse Representation for Brain Signal Processing: A tutorial on methods and applications. IEEE Signal Process. Mag. 31(3): 96-106 (2014) - [c8]Yuhui Quan, Yong Xu, Yuping Sun, Yu Luo:
Lacunarity Analysis on Image Patterns for Texture Classification. CVPR 2014: 160-167 - 2013
- [j4]Hui Ji, Xiong Yang, Haibin Ling, Yong Xu:
Wavelet Domain Multifractal Analysis for Static and Dynamic Texture Classification. IEEE Trans. Image Process. 22(1): 286-299 (2013) - [c7]Yong Xu, Yue Yuan, Huabing Dong, Yuhui Quan:
An Effective Method of 1-D Bar Code Image Identification. CSE 2013: 490-494 - 2012
- [j3]Yong Xu, Si-Bin Huang, Hui Ji, Cornelia Fermüller:
Scale-space texture description on SIFT-like textons. Comput. Vis. Image Underst. 116(9): 999-1013 (2012) - [j2]Zongxia Xie, Yong Xu, Qinghua Hu, Pengfei Zhu:
Margin distribution based bagging pruning. Neurocomputing 85: 11-19 (2012) - [c6]Yong Xu, Yuhui Quan, Zhuming Zhang, Hui Ji, Cornelia Fermüller, Morimichi Nishigaki, Daniel DeMenthon:
Contour-based recognition. CVPR 2012: 3402-3409 - 2011
- [c5]Yong Xu, Yuhui Quan, Haibin Ling, Hui Ji:
Dynamic texture classification using dynamic fractal analysis. ICCV 2011: 1219-1226 - 2010
- [c4]Yong Xu, Xiong Yang, Haibin Ling, Hui Ji:
A new texture descriptor using multifractal analysis in multi-orientation wavelet pyramid. CVPR 2010: 161-168
2000 – 2009
- 2009
- [j1]Yong Xu, Hui Ji, Cornelia Fermüller:
Viewpoint Invariant Texture Description Using Fractal Analysis. Int. J. Comput. Vis. 83(1): 85-100 (2009) - [c3]Yong Xu, Si-Bin Huang, Hui Ji, Cornelia Fermüller:
Combining powerful local and global statistics for texture description. CVPR 2009: 573-580 - [c2]Yong Xu, Si-Bin Huang, Hui Ji:
Integrating local feature and global statistics for texture analysis. ICIP 2009: 1377-1380 - 2006
- [c1]Yong Xu, Hui Ji, Cornelia Fermüller:
A Projective Invariant for Textures. CVPR (2) 2006: 1932-1939
Coauthor Index
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