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Reliable Adversarial Distillation with Unreliable Teachers


Jun 09, 2021
Jianing Zhu, Jiangchao Yao, Bo Han, Jingfeng Zhang, Tongliang Liu, Gang Niu, Jingren Zhou, Jianliang Xu, Hongxia Yang


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Contrastive Conditional Transport for Representation Learning


May 08, 2021
Huangjie Zheng, Xu Chen, Jiangchao Yao, Hongxia Yang, Chunyuan Li, Ya Zhang, Hao Zhang, Ivor Tsang, Jingren Zhou, Mingyuan Zhou


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Collaborative Label Correction via Entropy Thresholding


Apr 27, 2021
Hao Wu, Jiangchao Yao, Jiajie Wang, Yinru Chen, Ya Zhang, Yanfeng Wang

* ICDM 2019 

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Device-Cloud Collaborative Learning for Recommendation


Apr 14, 2021
Jiangchao Yao, Feng Wang, KunYang Jia, Bo Han, Jingren Zhou, Hongxia Yang


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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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Sparse-Interest Network for Sequential Recommendation


Feb 18, 2021
Qiaoyu Tan, Jianwei Zhang, Jiangchao Yao, Ninghao Liu, Jingren Zhou, Hongxia Yang, Xia Hu


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Learning on Attribute-Missing Graphs


Nov 03, 2020
Xu Chen, Siheng Chen, Jiangchao Yao, Huangjie Zheng, Ya Zhang, Ivor W Tsang

* This paper is to appear in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (TPAMI), 2020 

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Decoupled Variational Embedding for Signed Directed Networks


Aug 28, 2020
Xu Chen, Jiangchao Yao, Maosen Li, Ya zhang, Yanfeng Wang

* This paper is accepted by ACM Transactions on the WEB, 2019 

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Bayes EMbedding (BEM): Refining Representation by Integrating Knowledge Graphs and Behavior-specific Networks


Aug 28, 2019
Yuting Ye, Xuwu Wang, Jiangchao Yao, Kunyang Jia, Jingren Zhou, Yanghua Xiao, Hongxia Yang

* 25 pages, 5 figures, 10 tables. CIKM 2019 

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Node Attribute Generation on Graphs


Jul 23, 2019
Xu Chen, Siheng Chen, Huangjie Zheng, Jiangchao Yao, Kenan Cui, Ya Zhang, Ivor W. Tsang


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Safeguarded Dynamic Label Regression for Generalized Noisy Supervision


Mar 06, 2019
Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jun Sun

* Submitted to Transactions on Image Processing 

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How does Disagreement Help Generalization against Label Corruption?


Jan 26, 2019
Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama


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How Does Disagreement Benefit Co-teaching?


Jan 14, 2019
Xingrui Yu, Bo Han, Jiangchao Yao, Gang Niu, Ivor W. Tsang, Masashi Sugiyama


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Masking: A New Perspective of Noisy Supervision


Oct 31, 2018
Bo Han, Jiangchao Yao, Gang Niu, Mingyuan Zhou, Ivor Tsang, Ya Zhang, Masashi Sugiyama

* NIPS 2018 camera-ready version 

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Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels


Sep 28, 2018
Bo Han, Gang Niu, Jiangchao Yao, Xingrui Yu, Miao Xu, Ivor Tsang, Masashi Sugiyama


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Understanding VAEs in Fisher-Shannon Plane


Sep 25, 2018
Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Jia Wang


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Degeneration in VAE: in the Light of Fisher Information Loss


Sep 25, 2018
Huangjie Zheng, Jiangchao Yao, Ya Zhang, Ivor W. Tsang


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Variational Collaborative Learning for User Probabilistic Representation


Sep 22, 2018
Kenan Cui, Xu Chen, Jiangchao Yao, Ya Zhang

* 8 pages, 4 figures 

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Variational Composite Autoencoders


Apr 12, 2018
Jiangchao Yao, Ivor Tsang, Ya Zhang


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Collaborative Learning for Weakly Supervised Object Detection


Feb 10, 2018
Jiajie Wang, Jiangchao Yao, Ya Zhang, Rui Zhang


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Deep Learning from Noisy Image Labels with Quality Embedding


Nov 02, 2017
Jiangchao Yao, Jiajie Wang, Ivor Tsang, Ya Zhang, Jun Sun, Chengqi Zhang, Rui Zhang

* Under review for Transactions on Image Processing 

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