Lu

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.

Supervisor

Professor Zhi-Hua Zhou and Yuan Jiang

Biography

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:

    wangl@lamda.nju.edu.cn or wangwllu@gmail.com

    Laboratory:

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

    Mail:

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