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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: "Convergence of Adversarial Training in Overparametrized Networks" by Ruiqi Gao, Tianle Cai, Haochuan Li, Liwei Wang, Cho-Jui Hsieh, Jason D. Lee has been accepted by NeurIPS 2019 (spotlight)!
  • Our paper: "McDiarmid-Type Inequalities for Graph-DependentVariables and Stability Bounds" by Rui (Ray) Zhang, Xingwu Liu, Yuyi Wang, Liwei Wang has been accepted by NeurIPS 2019 (spotlight)!
  • Our paper: "Equipping Experts/Bandits with Long-term Memory" by Kai Zheng, Haipeng Luo, Ilias Diakonikolas, Liwei Wang has been accepted by NeurIPS 2019!
  • Our paper: "Few-Shot Learning with Global Class Representations" by Tiange Luo, Aoxue Li, Tao Xiang, Weiran Huang, Liwei Wang has been accepted by ICCV 2019!
  • Our paper: "RepPoints: Point Set Representation for Object Detection" by Ze Yang, Shaohui Liu, Han Hu, Liwei Wang, Steve Lin has been accepted by ICCV 2019!
  • Our paper: "Learning Relationships for Multi-View 3D Object Recognition" by Ze Yang, Liwei Wang has been accepted by ICCV 2019!

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
  • Ruiqi Gao
  • Jiachen Hu
  • Chuan Lin
  • Jinchen Xuan
  • 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