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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: "Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible" by Kai Zheng, Wenlong Mou, Liwei Wang has been accepted by ICML 2017!
  • Our team has achieved the 4th place in Kaggle Data Science Bowl 2017!
  • Our paper: "Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks" by Jia Ding, Aoxue Li, Zhiqiang Hu, Liwei Wang has been accepted by MICCAI 2017!
  • Our paper: "Quadratic Upper Bound for Recursive Teaching Dimension of Finite VC Classes" by Lunjia Hu, Ruihan Wu, Tianhong Li, Liwei Wang has been accepted by COLT 2017!
  • Our paper: "Efficient Private ERM for Smooth Objectives" by Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang has been accepted by IJCAI 2017!

RECENT PUBLICATIONS (Full Paper List)


Full publication list here


Open Source Codes




Students



Current Students

PhD Students Master Students Undergraduate Students
  • Di He
  • Aoxue Li
  • Kai Zheng
  • Jia Ding
  • Zhiqiang Hu
  • Dong Wang
  • Shengcao Cao
  • Xiaoyu Chen
  • Jun Gao
  • Jiayuan Gu
  • Haochuan Li
  • Zhuohan Li
  • Yuhan Liu
  • Zhou Lu
  • Tiange Luo
  • Wenlong Mou
  • Hongming Pu
  • Feicheng Wang
  • Yue Wu
  • Ze Yang
  • Mengxiao Zhang
  • Kexin Zhang
  • Xiyu Zhai
  • Xu Zou


Past Students


Courses



Current Courses

  • Machine Learning
  • Information Theory

Previous Courses

  • Statistical Learning