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Liwei Wang


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.


  • Our paper: "To What Extent Do Different Neural Networks Learn the Same Representation: A Neuron Activation Subspace Match Approach" by Liwei Wang ,Lunjia Hu, Jiayuan Gu, Zhiqiang Hu, Yue Wu, Kun He, John Hopcroft has been accepted by NIPS 2018!
  • Our paper: "FRAGE: Frequency-Agnostic Word Representation" by Chengyue Gong,Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu has been accepted by NIPS 2018!
  • Our paper: "Learning to Navigate for Fine-grained Classification" by Ze Yang, Tiange Luo, Dong Wang, Zhiqiang Hu, Jun Gao, Liwei Wang has been accepted by ECCV 2018!
  • Our paper: "Learning Region Features for Object Detection" by Jiayuan Gu, Han Hu, Liwei Wang, Yichen Wei, Jifeng Dai has been accepted by ECCV 2018!
  • Our paper: "Dropout Training, Data-dependent Regularization, and Generalization Bounds" by Wenlong Mou, Yuchen Zhou, Jun Gao, Liwei Wang has been accepted by ICML 2018!
  • Our paper: "Towards Binary-Valued Gates for Robust LSTM Training" by Di He, Zhuohan Li, Fei Tian, Wei Chen, Tao Qin, Liwei Wang, Tieyan Liu has been accepted by ICML 2018!
  • Our paper: "Generalization Bounds of SGLD for Non-convex Learning: Two Theoretical Viewpoints" by Wenlong Mou, Liwei Wang, Xiyu Zhai, Kai Zheng has been accepted by COLT 2018!
  • Our team has achieved the 1st place in TianChi AI Competition for Healthcare (Season 1)!


Full publication list here

Open Source Codes


Current Students

PhD Students Master Students Undergraduate Students
  • Xiaoyu Chen
  • Di He
  • Aoxue Li
  • Dong Wang
  • Kai Zheng
  • Yihong Chen
  • Yuting Dai
  • Tiange Luo
  • Yichuan Wang
  • Ze Yang
  • Kexin Zhang
  • TianLe Cai
  • Shengcao Cao
  • Siyu Chen
  • Dengbo Chen
  • Ruiqi Gao
  • Jiachen Hu
  • Haochuan Li
  • Jiawei Li
  • Zhuohan Li
  • Chuan Lin
  • Yiping Lu
  • Yijia Weng
  • Yue Wu
  • Jinchen Xuan
  • Yunchang Yang
  • Runtian Zhai
  • Shishuang Zhao


  • Ke Lin
Past Students

  • 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 (UC Berkeley)
  • Zhaoxiang Jing (Chinese Academy of Sciences)
  • Yao Liu (Stanford)
  • Tianhong Li (MIT)
  • Yuhan Liu (Cornell University)
  • 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)
  • Songbai Yan (UCSD)
  • Xuchen You (University of Maryland)
  • Hongyuan You (UCSB)
  • Xiyu Zhai (MIT)
  • Chicheng Zhang (Microsoft)
  • Hongyi Zhang (MIT)
  • 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)


Current Courses

  • Machine Learning
  • Information Theory

Previous Courses

  • Statistical Learning