王奕森

王奕森 北京大學智能學院

王奕森，男，北京大學智能學院教授。

目錄

教育背景

2018年博士畢業於清華大學計算機系

研究領域

機器學習，深度學習，對抗學習，圖學習，弱監督學習

學術成果

論著

1.Dongxian Wu, Shu-Tao Xia,Yisen Wang#; 「Adversarial Weight Perturbation Helps Robust Generalization」, Neural Information Processing Systems (NeurIPS 2020)

2.Yisen Wang*, Xingjun Ma*, James Bailey, Jinfeng Yi, Bowen Zhou, Quanquan Gu; 「On the Convergence and Robustness of Adversarial Training」, International Conference on Machine Learning (ICML 2019)

3.Yisen Wang*, Difan Zou*, Jinfeng Yi, James Bailey, Xingjun Ma, Quanquan Gu; 「Improving Adversarial Robustness Requires Revisiting Misclassified Examples」, International Conference on Learning Representations (ICLR 2020)

4.Dongxian Wu,Yisen Wang#, Shu-Tao Xia, James Bailey, Xingjun Ma; 「Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets」, International Conference on Learning Representations (ICLR 2020)

5.Xingjun Ma*, Hanxun Huang*,Yisen Wang#, Simone Romano, Sarah Erfani, James Bailey; 「Normalized Loss Functions for Deep Learning with Noisy Labels」, International Conference on Machine Learning (ICML 2020)

6.Yisen Wang*, Xingjun Ma*, Zaiyi Chen, Yuan Luo, Jinfeng Yi, James Bailey; 「Symmetric Cross Entropy for Robust Learning with Noisy Labels」, International Conference on Computer Vision (ICCV 2019)

7.Yisen Wang, Weiyang Liu, Xingjun Ma, James Bailey, Hongyuan Zha, Le Song, Shu-Tao Xia; 「Iterative Learning with Open-set Noisy Labels」, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2018)