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Liwei Wang

Professor,

Department of Machine Intelligence,

School of Electronics Engineering and Computer Sciences,

Peking University

Email: wanglw at pku.edu.cn; wanglw at cis.pku.edu.cn


My main research interest is machine learning. I study learning theory, providing insights for the strength and weakness of existing learning algorithms and thus help to guide the development of new algorithms. I am also interested in differential privacy, especially in design learning algorithms with privacy guarantees. On the application side, I develop algorithms and systems for medical diagnosis based on machine learning methods.



NEWS



  • Our paper: "MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius" by Runtian Zhai, Chen Dan, Di He, Huan Zhang, Boqing Gong, Pradeep Ravikumar, Cho-Jui Hsieh, Liwei Wang has been accepted by ICLR 2020!
  • Our paper: "Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories" by Tiange Luo, Kaichun Mo, Zhiao Huang, Jiarui Xu, Siyu Hu, Liwei Wang , Hao Su has been accepted by ICLR 2020!
  • Our paper: "Q-learning with UCB Exploration is Sample Efficient for Infinite-Horizon MDP" by Yuanhao Wang, Kefan Dong, Xiaoyu Chen, Liwei Wang has been accepted by ICLR 2020!
  • Our paper: "Distributed Bandit Learning: Near-Optimal Regret with Efficient Communication" by Yuanhao Wang, Jiachen Hu, Xiaoyu Chen, Liwei Wang has been accepted by ICLR 2020!
  • Our paper: "Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks" by Jiadong Lin, Chuanbiao Song, Kun He, Liwei Wang , John E. Hopcroft has been accepted by ICLR 2020!
  • Our paper: "Robust Local Features for Improving the Generalization of Adversarial Training" by Chuanbiao Song, Kun He, Jiadong Lin, Liwei Wang , John E. Hopcroft has been accepted by ICLR 2020!

RECENT PUBLICATIONS (Full Paper List)


Full publication list here


Students



Current Students

PhD Students Master Students Undergraduate Students
  • Xiaoyu Chen
  • Di He
  • Aoxue Li
  • Dong Wang
  • Yunchang Yang
  • Bohang Zhang
  • Kai Zheng
  • Ruiheng Chang
  • Dengbo Chen
  • Yihong Chen
  • Yuting Dai
  • Tiange Luo
  • Yichuan Wang
  • Ze Yang
  • Kexin Zhang
  • Shishuang Zhao
  • Tianle Cai
  • Siyu Chen
  • Yihang Chen
  • Kefan Dong
  • Ruiqi Gao
  • Linyuan Gong
  • Jiachen Hu
  • Yuzheng Hu
  • Baihe Huang
  • Ruichen Li
  • Shengjie Luo
  • Kaifeng Lv
  • Junjie Shan
  • Haiyang Wang
  • Yuanhao Wang
  • Tianhao Wu
  • Jing Xu
  • Jinchen Xuan
  • Haotian Ye
  • Runtian Zhai


Postdoctoral

  • Ke Lin
Past Students

  • Shengcao Cao (CMU)
  • Yifan Chen (Caltech)
  • Yuxi Chen (Google)
  • Chen Dan (CMU)
  • Xiaocheng Deng (Micorsoft)
  • Jia Ding (Ant Financial)
  • Xialiang Dou (University of Chicago)
  • Kai Fan (Duke)
  • Jun Gao (University of Toronto)
  • Jiayuan Gu (UCSD)
  • Zhiqiang Hu (SenseTime)
  • Lunjia Hu (Stanford)
  • He Jiang (University of Southern California)
  • Chi Jin (Princeton)
  • Zhaoxiang Jing (Chinese Academy of Sciences)
  • Haochuan Li (MIT)
  • Tianhong Li (MIT)
  • Zhuohan Li (UC Berkeley)
  • Yao Liu (Stanford)
  • Yuhan Liu (Cornell University)
  • Yiping Lu (Stanford)
  • Zhou Lu (Princeton)
  • Wenlong Mou (UC Berkeley)
  • Hongming Pu (University of Pennsylvania)
  • Zihan Tan (University of Chicago)
  • Zhi Wang(Columbia University)
  • Ziteng Wang (Didi Research)
  • Feicheng Wang (Harvard University)
  • Chenwei Wu (Duke University)
  • Yue Wu (UCLA)
  • Songbai Yan (UCSD)
  • Xuchen You (University of Maryland)
  • Hongyuan You (UCSB)
  • Xiyu Zhai (MIT)
  • Chicheng Zhang (The University of Arizona)
  • Hongyi Zhang (ByteDance)
  • Jiaqi Zhang (Ant Financial)
  • Yichen Zhang (NYU)
  • Mengxiao Zhang (University of Southern California)
  • Yiqiao Zhong (Princeton)
  • Yuchen Zhou (University of Wisconsin)
  • Xu Zou (Tsinghua University)

Courses



Current Courses

  • Machine Learning
  • Information Theory

Previous Courses

  • Statistical Learning