Xin Zou

I am Xin Zou (邹鑫), a fourth-year PhD student at the School of Computer Science, Wuhan University.

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Research Interests: Statistical Learning Theory; Deep Learning Theory; Representation Learning; Trustworthy Machine Learning.

Education: I am a fourth-year PhD student at the School of Computer Science, Wuhan University. Before that, I obtained my Bachelor’s degree in School of Computer Science from Wuhan University.

News:

  • I was supported by the Fundamental Research Project for Young Professional from NSFC (国家自然科学基金博士生专项).
  • I was supported by the Youth Talents Support Project - Doctoral Student Special Program (首届中国科协青年人才托举工程-博士生专项).

Selected publications, here * means equal contribution.

  1. A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers
    Xin Zou*Zhengyu Zhou*Jingyuan Xu, and Weiwei Liu
    In NeurIPS, 2024
  2. Residual network with self-adaptive time step size
    Xiyuan Li Xin Zou, and Weiwei Liu
    Pattern Recognition, 2024
  3. A Provable Decision Rule for Out-of-Distribution Detection
    Xinsong Ma Xin Zou, and Weiwei Liu
    In ICML, 2024
  4. Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
    Xin Zou, and Weiwei Liu
    In AAAI, 2024
  5. On the Adversarial Robustness of Out-of-distribution Generalization Models
    Xin Zou, and Weiwei Liu
    In NeurIPS, 2023
  6. Generalization Bounds for Adversarial Contrastive Learning
    Xin Zou, and Weiwei Liu
    JMLR, 2023
  7. Defending Against Adversarial Attacks via Neural Dynamic System
    Xiyuan Li Xin Zou, and Weiwei Liu
    In NeurIPS, 2022