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Reparameterized Sampling for Generative Adversarial Networks


Jul 01, 2021
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin

* ECML PKDD 2021 

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Analysis and Applications of Class-wise Robustness in Adversarial Training


Jun 23, 2021
Qi Tian, Kun Kuang, Kelu Jiang, Fei Wu, Yisen Wang


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GBHT: Gradient Boosting Histogram Transform for Density Estimation


Jun 10, 2021
Jingyi Cui, Hanyuan Hang, Yisen Wang, Zhouchen Lin

* Accepted to ICML2021. arXiv admin note: text overlap with arXiv:2106.01986 

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Leveraged Weighted Loss for Partial Label Learning


Jun 10, 2021
Hongwei Wen, Jingyi Cui, Hanyuan Hang, Jiabin Liu, Yisen Wang, Zhouchen Lin

* Accepted to ICML2021 as long talk 

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Optimization Induced Equilibrium Networks


Jun 07, 2021
Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Yisen Wang, Guangcan Liu, Zhouchen Lin


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Can Subnetwork Structure be the Key to Out-of-Distribution Generalization?


Jun 05, 2021
Dinghuai Zhang, Kartik Ahuja, Yilun Xu, Yisen Wang, Aaron Courville

* Accepted to ICML2021 as long talk 

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Game-theoretic Understanding of Adversarially Learned Features


Mar 12, 2021
Jie Ren, Die Zhang, Yisen Wang, Lu Chen, Zhanpeng Zhou, Xu Cheng, Xin Wang, Yiting Chen, Jie Shi, Quanshi Zhang


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Improving Adversarial Robustness via Channel-wise Activation Suppressing


Mar 11, 2021
Yang Bai, Yuyuan Zeng, Yong Jiang, Shu-Tao Xia, Xingjun Ma, Yisen Wang

* ICLR2021 accepted paper 

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Dissecting the Diffusion Process in Linear Graph Convolutional Networks


Feb 22, 2021
Yifei Wang, Yisen Wang, Jiansheng Yang, Zhouchen Lin


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What Do Deep Nets Learn? Class-wise Patterns Revealed in the Input Space


Feb 06, 2021
Shihao Zhao, Xingjun Ma, Yisen Wang, James Bailey, Bo Li, Yu-Gang Jiang


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Adversarial Interaction Attack: Fooling AI to Misinterpret Human Intentions


Jan 17, 2021
Nodens Koren, Qiuhong Ke, Yisen Wang, James Bailey, Xingjun Ma

* Preprint 

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Unlearnable Examples: Making Personal Data Unexploitable


Jan 13, 2021
Hanxun Huang, Xingjun Ma, Sarah Monazam Erfani, James Bailey, Yisen Wang

* ICLR2021 Spotlight 

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A Unified Approach to Interpreting and Boosting Adversarial Transferability


Oct 08, 2020
Xin Wang, Jie Ren, Shuyun Lin, Xiangming Zhu, Yisen Wang, Quanshi Zhang


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Improving Query Efficiency of Black-box Adversarial Attack


Sep 25, 2020
Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo

* Accepted to ECCV2020 

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Temporal Calibrated Regularization for Robust Noisy Label Learning


Jul 01, 2020
Dongxian Wu, Yisen Wang, Zhuobin Zheng, Shu-tao Xia

* Published as a conference paper at IJCNN 2020 

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Normalized Loss Functions for Deep Learning with Noisy Labels


Jun 24, 2020
Xingjun Ma, Hanxun Huang, Yisen Wang, Simone Romano, Sarah Erfani, James Bailey

* Accepted to ICML 2020 

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Revisiting Loss Landscape for Adversarial Robustness


Apr 13, 2020
Dongxian Wu, Yisen Wang, Shu-tao Xia


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Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles


Mar 08, 2020
Ranjie Duan, Xingjun Ma, Yisen Wang, James Bailey, A. K. Qin, Yun Yang


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Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets


Feb 14, 2020
Dongxian Wu, Yisen Wang, Shu-Tao Xia, James Bailey, Xingjun Ma

* ICLR 2020 conference paper (spotlight) 

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Symmetric Cross Entropy for Robust Learning with Noisy Labels


Aug 16, 2019
Yisen Wang, Xingjun Ma, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey

* ICCV2019 

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Understanding Adversarial Attacks on Deep Learning Based Medical Image Analysis Systems


Jul 24, 2019
Xingjun Ma, Yuhao Niu, Lin Gu, Yisen Wang, Yitian Zhao, James Bailey, Feng Lu

* 15 pages, 10 figures 

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Joint Semantic Domain Alignment and Target Classifier Learning for Unsupervised Domain Adaptation


Jun 10, 2019
Dong-Dong Chen, Yisen Wang, Jinfeng Yi, Zaiyi Chen, Zhi-Hua Zhou


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Dimensionality-Driven Learning with Noisy Labels


Jul 31, 2018
Xingjun Ma, Yisen Wang, Michael E. Houle, Shuo Zhou, Sarah M. Erfani, Shu-Tao Xia, Sudanthi Wijewickrema, James Bailey

* In Proceedings of the International Conference on Machine Learning (ICML), 2018 

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Learning Deep Hidden Nonlinear Dynamics from Aggregate Data


Jul 29, 2018
Yisen Wang, Bo Dai, Lingkai Kong, Sarah Monazam Erfani, James Bailey, Hongyuan Zha

* In Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI), 2018 

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Decoupled Networks


Apr 22, 2018
Weiyang Liu, Zhen Liu, Zhiding Yu, Bo Dai, Rongmei Lin, Yisen Wang, James M. Rehg, Le Song

* CVPR 2018 (Spotlight) 

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Iterative Learning with Open-set Noisy Labels


Mar 31, 2018
Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia

* CVPR2018-Spotlight 

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