Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Bo Han

Device-Cloud Collaborative Learning for Recommendation


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


  Access Paper or Ask Questions

Learning with Group Noise


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


  Access Paper or Ask Questions

Meta Discovery: Learning to Discover Novel Classes given Very Limited Data


Feb 18, 2021
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Gang Niu, Bo Han


  Access Paper or Ask Questions

Understanding the Interaction of Adversarial Training with Noisy Labels


Feb 09, 2021
Jianing Zhu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Hongxia Yang, Mohan Kankanhalli, Masashi Sugiyama


  Access Paper or Ask Questions

Learning Diverse-Structured Networks for Adversarial Robustness


Feb 08, 2021
Xuefeng Du, Jingfeng Zhang, Bo Han, Tongliang Liu, Yu Rong, Gang Niu, Junzhou Huang, Masashi Sugiyama

* 26 pages, 8 figures 

  Access Paper or Ask Questions

Provably End-to-end Label-Noise Learning without Anchor Points


Feb 04, 2021
Xuefeng Li, Tongliang Liu, Bo Han, Gang Niu, Masashi Sugiyama


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Extended T: Learning with Mixed Closed-set and Open-set Noisy Labels


Dec 02, 2020
Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Jiankang Deng, Jiatong Li, Yinian Mao


  Access Paper or Ask Questions

SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning


Dec 02, 2020
Zhuowei Wang, Jing Jiang, Bo Han, Lei Feng, Bo An, Gang Niu, Guodong Long


  Access Paper or Ask Questions

A Survey of Label-noise Representation Learning: Past, Present and Future


Nov 09, 2020
Bo Han, Quanming Yao, Tongliang Liu, Gang Niu, Ivor W. Tsang, James T. Kwok, Masashi Sugiyama

* The draft is kept updating; any comments and suggestions are welcome 

  Access Paper or Ask Questions

Confusable Learning for Large-class Few-Shot Classification


Nov 06, 2020
Bingcong Li, Bo Han, Zhuowei Wang, Jing Jiang, Guodong Long


  Access Paper or Ask Questions

Maximum Mean Discrepancy is Aware of Adversarial Attacks


Oct 22, 2020
Ruize Gao, Feng Liu, Jingfeng Zhang, Bo Han, Tongliang Liu, Gang Niu, Masashi Sugiyama


  Access Paper or Ask Questions

Pointwise Binary Classification with Pairwise Confidence Comparisons


Oct 05, 2020
Lei Feng, Senlin Shu, Nan Lu, Bo Han, Miao Xu, Gang Niu, Bo An, Masashi Sugiyama


  Access Paper or Ask Questions

Geometry-aware Instance-reweighted Adversarial Training


Oct 05, 2020
Jingfeng Zhang, Jianing Zhu, Gang Niu, Bo Han, Masashi Sugiyama, Mohan Kankanhalli


  Access Paper or Ask Questions

Provably Consistent Partial-Label Learning


Jul 17, 2020
Lei Feng, Jiaqi Lv, Bo Han, Miao Xu, Gang Niu, Xin Geng, Bo An, Masashi Sugiyama


  Access Paper or Ask Questions

Parts-dependent Label Noise: Towards Instance-dependent Label Noise


Jun 14, 2020
Xiaobo Xia, Tongliang Liu, Bo Han, Nannan Wang, Mingming Gong, Haifeng Liu, Gang Niu, Dacheng Tao, Masashi Sugiyama


  Access Paper or Ask Questions

Class2Simi: A New Perspective on Learning with Label Noise


Jun 14, 2020
Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu


  Access Paper or Ask Questions

Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning


Jun 14, 2020
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Jiankang Deng, Gang Niu, Masashi Sugiyama


  Access Paper or Ask Questions

Attacks Which Do Not Kill Training Make Adversarial Learning Stronger


Feb 26, 2020
Jingfeng Zhang, Xilie Xu, Bo Han, Gang Niu, Lizhen Cui, Masashi Sugiyama, Mohan Kankanhalli


  Access Paper or Ask Questions

Multi-Class Classification from Noisy-Similarity-Labeled Data


Feb 16, 2020
Songhua Wu, Xiaobo Xia, Tongliang Liu, Bo Han, Mingming Gong, Nannan Wang, Haifeng Liu, Gang Niu


  Access Paper or Ask Questions

Towards Mixture Proportion Estimation without Irreducibility


Feb 10, 2020
Yu Yao, Tongliang Liu, Bo Han, Mingming Gong, Gang Niu, Masashi Sugiyama, Dacheng Tao


  Access Paper or Ask Questions

Confidence Scores Make Instance-dependent Label-noise Learning Possible


Jan 11, 2020
Antonin Berthon, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama


  Access Paper or Ask Questions

Where is the Bottleneck of Adversarial Learning with Unlabeled Data?


Nov 20, 2019
Jingfeng Zhang, Bo Han, Gang Niu, Tongliang Liu, Masashi Sugiyama


  Access Paper or Ask Questions

Searching to Exploit Memorization Effect in Learning from Corrupted Labels


Nov 06, 2019
Hansi Yang, Quanming Yao, Bo Han, Gang Niu


  Access Paper or Ask Questions

SUM: Suboptimal Unitary Multi-task Learning Framework for Spatiotemporal Data Prediction


Oct 11, 2019
Qichen Li, Jiaxin Pei, Jianding Zhang, Bo Han

* 5 pages 

  Access Paper or Ask Questions

VILD: Variational Imitation Learning with Diverse-quality Demonstrations


Sep 15, 2019
Voot Tangkaratt, Bo Han, Mohammad Emtiyaz Khan, Masashi Sugiyama


  Access Paper or Ask Questions

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


  Access Paper or Ask Questions

Butterfly: A Panacea for All Difficulties in Wildly Unsupervised Domain Adaptation


May 23, 2019
Feng Liu, Jie Lu, Bo Han, Gang Niu, Guangquan Zhang, Masashi Sugiyama


  Access Paper or Ask Questions