Lu Wang (王璐)

Ph.D., LAMDA Group,
Department of Computer Science & Technology,
Nanjing University, China

[Update, 2020]: I have successfully defended my PhD dissertation and here is my new homepage.


Professor Zhi-Hua Zhou and Yuan Jiang


Currently I am Ph.D. student of Department of Computer Science and Technology in Nanjing University and a member of LAMDA Group, led by Professor Zhi-Hua Zhou.

I received my B.Sc. degree in Computer Science and Technology in June 2014 from Nanjing University.

Research Interests

My research interests include: Data Mining & Machine Learning.

Teaching Assistant

  • Machine Learning Theory (for graduate students), Spring, 2018
  • Introduction to Machine Learning (for undergraduate students), Spring, 2016
  • Discrete Mathematics (for undergraduate students), Spring, 2015
  • Preprints

  • Lu Wang, Xuanqing Liu, Jinfeng Yi, Zhi-Hua Zhou, and Cho-Jui Hsieh. Evaluating the robustness of nearest neighbor classifiers: a primal-dual perspective. arXiv preprint, 2019. [code]
  • Shen-Huan Lv, Lu Wang, and Zhi-Hua Zhou. Optimal margin distribution network. arXiv preprint, 2018.
  • Publications

  • Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, and Cho-Jui Hsieh. Provably robust metric learning. In: Neural Information Processing Systems (NeurIPS), 2020. [code]
  • Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, and Yuan Jiang. Spanning attack: reinforce black-box attacks with unlabeled data. Machine Learning, in press. [code]
  • Lu Wang and Yuan Jiang. Robustness verification of K-NN classifiers via constraint relaxation and randomized smoothing. Science China: Information Sciences, in press. (in Chinese)
  • Lu Wang and Zhi-Hua Zhou. Cost-saving effect of crowdsourcing learning. In: International Joint Conference on Artificial Intelligence (IJCAI), New York, NY, 2016.
  • Wei Gao, Lu Wang, Rong Jin, Shenghuo Zhu, and Zhi-Hua Zhou. One-pass AUC optimization. Artificial Intelligence, 2016, 236: 1-29. [code]
  • Wei Gao, Lu Wang, Yu-Feng Li, and Zhi-Hua Zhou. Risk minimization in the presence of label noise. In: AAAI Conference on Artificial Intelligence (AAAI), Phoenix, AZ, 2016.
  • Correspondence

    Email: or


    912, Building of Computer Science and Technology, Xianlin Campus of Nanjing University


    Lu Wang
    National Key Laboratory for Novel Software Technology
    Nanjing University, Xianlin Campus
    163 Xianlin Avenue, Qixia District
    Nanjing 210023, China