Ruize Gao (Machine Learning Researcher)


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Ruize Gao

Ruize Gao (高瑞泽)

Ph.D. Candidate @ SOC NUS

Supervisor: Xiaokui Xiao

Address: COM1, Database Research Lab 1

School of Computing, National University of Singapore

13 Computing Drive, Singapore 117417

E-mail: ruizegao [at] comp.nus.edu.sg or sjtu16.brian.gao [at] gmail.com

[Google Scholar]


Biography


Preprints

(* indicates equal contributions)
  • Local Reweighting for Adversarial Training.
    R. Gao*, F. Liu*, K. Zhou, G. Niu, B. Han and J. Cheng.
    [PDF].


Selected Publications

(* indicates equal contributions)
  • Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack.
    R. Gao, J. Wang, K. Zhou, F. Liu, B. Xie, G. Niu, B. Han, J. Cheng.
    In Proceedings of 39th International Conference on Machine Learning (ICML), 2022 (CCF A) [PDF] [ Code] [Poster].

  • Maximum Mean Discrepancy Test is Aware of Adversarial Attacks.
    R. Gao*, F. Liu*, J. Zhang*, B. Han, T. Liu, G. Niu, and M. Sugiyama.
    In Proceedings of 38th International Conference on Machine Learning (ICML), 2021 (CCF A) [PDF] [ Code] [Poster].

  • Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation. (Oral)
    K. Huang, R. Gao, B. Cautis, X. Xiao.
    In Proceedings of ACM Web Conference (WWW), 2024 (CCF A) [PDF][Code][Poster].

  • Deep Reinforcement Learning for Solving the Heterogeneous Capacitated Vehicle Routing Problem.
    J. Li, Y. Ma, R. Gao, Z. Cao, A. Lim, W. Song, and J. Zhang.
    IEEE Transactions on Cybernetics (T-Cybernetics), 2021 (JCR Q1) [PDF] [ Code] [Poster].