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Learning with Group Noise


Mar 17, 2021
Qizhou Wang, Jiangchao Yao, Chen Gong, Tongliang Liu, Mingming Gong, Hongxia Yang, Bo Han


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Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning


Feb 27, 2021
Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis

* 15 pages, 5 figures, 6 tables 

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Tackling Instance-Dependent Label Noise via a Universal Probabilistic Model


Jan 14, 2021
Qizhou Wang, Bo Han, Tongliang Liu, Gang Niu, Jian Yang, Chen Gong


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Channel Modeling and Signal Processing for Array-based Visible Light Communication System in Misalignment


Jan 10, 2021
Jiaqi Wei, Chen Gong, Nuo Huang, Zhengyuan Xu


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LID 2020: The Learning from Imperfect Data Challenge Results


Oct 17, 2020
Yunchao Wei, Shuai Zheng, Ming-Ming Cheng, Hang Zhao, Liwei Wang, Errui Ding, Yi Yang, Antonio Torralba, Ting Liu, Guolei Sun, Wenguan Wang, Luc Van Gool, Wonho Bae, Junhyug Noh, Jinhwan Seo, Gunhee Kim, Hao Zhao, Ming Lu, Anbang Yao, Yiwen Guo, Yurong Chen, Li Zhang, Chuangchuang Tan, Tao Ruan, Guanghua Gu, Shikui Wei, Yao Zhao, Mariia Dobko, Ostap Viniavskyi, Oles Dobosevych, Zhendong Wang, Zhenyuan Chen, Chen Gong, Huanqing Yan, Jun He

* Summary of the 2nd Learning from Imperfect Data Workshop in conjunction with CVPR 2020 

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Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification


Sep 19, 2020
Sheng Wan, Chen Gong, Shirui Pan, Jie Yang, Jian Yang


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Contrastive and Generative Graph Convolutional Networks for Graph-based Semi-Supervised Learning


Sep 19, 2020
Sheng Wan, Shirui Pan, Jian Yang, Chen Gong


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Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training


Jun 22, 2020
Xuxi Chen, Wuyang Chen, Tianlong Chen, Ye Yuan, Chen Gong, Kewei Chen, Zhangyang Wang

* ICML 2020 accepted 

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Network Cooperation with Progressive Disambiguation for Partial Label Learning


Feb 22, 2020
Yao Yao, Chen Gong, Jiehui Deng, Jian Yang

* 7 pages,3 figures 

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Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network


Sep 26, 2019
Sheng Wan, Chen Gong, Ping Zhong, Shirui Pan, Guangyu Li, Jian Yang


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Are Anchor Points Really Indispensable in Label-Noise Learning?


Jun 01, 2019
Xiaobo Xia, Tongliang Liu, Nannan Wang, Bo Han, Chen Gong, Gang Niu, Masashi Sugiyama


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Multi-scale Dynamic Graph Convolutional Network for Hyperspectral Image Classification


May 14, 2019
Sheng Wan, Chen Gong, Ping Zhong, Bo Du, Lefei Zhang, Jian Yang


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Robust Visual Tracking Revisited: From Correlation Filter to Template Matching


Apr 15, 2019
Fanghui Liu, Chen Gong, Xiaolin Huang, Tao Zhou, Jie Yang, Dacheng Tao

* has been published on IEEE TIP 

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Ensemble Teaching for Hybrid Label Propagation


Apr 08, 2019
Chen Gong, Dacheng Tao, Xiaojun Chang, Jian Yang


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A Regularization Approach for Instance-Based Superset Label Learning


Apr 05, 2019
Chen Gong, Tongliang Liu, Yuanyan Tang, Jian Yang, Jie Yang, Dacheng Tao


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Learning with Inadequate and Incorrect Supervision


Feb 20, 2019
Chen Gong, Hengmin Zhang, Jian Yang, Dacheng Tao


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A Survey on Multi-output Learning


Jan 02, 2019
Donna Xu, Yaxin Shi, Ivor W. Tsang, Yew-Soon Ong, Chen Gong, Xiaobo Shen


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RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology


Nov 28, 2018
Chen Gong, N. Benjamin Erichson, John P. Kelly, Laura Trutoiu, Brian T. Schowengerdt, Steven L. Brunton, Eric J. Seibel


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Learning Data-adaptive Nonparametric Kernels


Aug 31, 2018
Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li


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Adversarial Metric Learning


Feb 09, 2018
Shuo Chen, Chen Gong, Jian Yang, Xiang Li, Yang Wei, Jun Li

* 8 pages, 5 figures 

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