About Me

I am a fifth-year Ph.D student at Department of Computer Science and Engineering (CSE) in Hong Kong University of Science and Technology (HKUST), supervised by Prof. Tong Zhang starting from Sep 2019. Before my Ph.D journey, I obtained my Bachelor degree in Computer Science and Technology from Tsinghua University. I also have the prividge to work with Prof. Zhiyuan Liu during my undergraduate study.

My current research interest is Sparse Neural Networks, Efficient Training/Inference, OOD generalziation, etc.

Publications

• Model Agnostic Sample Reweighting for Out-of-Distribution Learning
  Xiao Zhou, Y. Lin, R. Pi, W. Zhang, R. Xu, P. Cui, T. Zhang.
  International Conference on Machine Learning (ICML), 2022.
• Probabilistic Bilevel Coreset Selection
  Xiao Zhou, R. Pi, W. Zhang, Y. Lin, Z. Chen, T. Zhang.
  International Conference on Machine Learning (ICML), 2022.
• Sparse Invariant Risk Minimization
  Xiao Zhou, Y. Lin, W. Zhang, T. Zhang.
  International Conference on Machine Learning (ICML), 2022.
• Efficient Neural Network Training via Forward and Backward Propagation Sparsification
  Xiao Zhou, W. Zhang, Z. Chen, S. Diao, T. Zhang.
  Neural Information Processing Systems (NeurIPS), 2021.
• Effective Sparsification of Neural Networks with Global Sparsity Constraint
  Xiao Zhou, W. Zhang, H. Xu, T. Zhang.
  Computer Vision and Pattern Recognition (CVPR), 2021.

Awards

• Postgraduate Studentship, HKUST, 2018-2023
• Excellent Graduate from Tsinghua CSE, 2018

Services

• Reviewer for ICML 2022, KDD 2022, ECCV 2022, ACMMM 2022, NeurIPS 2022.

Teaching

• COMP4211: Machine Learning (Spring 2021)