About

I’m a first year PhD student at the School of Data Science, The Chinese University of Hong Kong, Shenzhen (CUHK-SZ) supervised by Prof. Guiliang Liu and co-supervised by Prof. Hongyuan Zha.
Before, I received my Bachelor degree at the School of Computer Science, Northwestern Polytechnical University (NWPU) in 2023.
My research focuses on:
  • Inverse Constrained Reinforcement Learning
  • Risk-sensitive / Distributional Reinforcement Learning
  • Preference-based Reinforcement Learning

NEWS

  • [05/2024] One paper was accepted to ICML 2024.
  • [01/2024] Two papers were accepted to ICLR 2024.
  • [07/2023] I graduated from NWPU with the honor of Outstanding Graduate of Shaanxi Province (top 1%) and Excellent Graduation Thesis (top 5%).

Publications

  • Robust Inverse Constrained Reinforcement Learning under Model Misspecification
    Sheng Xu, Guiliang Liu.
    International Conference on Machine Learning (ICML), 2024 ICML Logo

  • Uncertainty-aware Constraint Inference in Inverse Constrained Reinforcement Learning
    Sheng Xu, Guiliang Liu.
    International Conference on Learning Representations (ICLR), 2024 ICLR Logo
    [PDF], [Code]

  • Enhancing Human-AI Collaboration Through Logic-Guided Reasoning
    Chengzhi Cao, Yinghao Fu, Sheng Xu, Ruimao Zhang, Shuang Li.
    International Conference on Learning Representations (ICLR), 2024 ICLR Logo
    [PDF], [Code]

  • An Improved Lightweight YOLOv5 Model Based on Attention Mechanism for Face Mask Detection
    Sheng Xu, Zhanyu Guo, Yuchi Liu, Jingwei Fan, Xuxu Liu.
    International Conference on Artificial Neural Networks (ICANN), 2022 ICANN Logo
    [PDF], [Code]

Experiences

Honors and Awards

  • Presidential Fellowship, CUHK-SZ, 2023
  • Outstanding Graduate of Shaanxi Province, Education Department of Shaanxi Provincial Government, 2023
  • NWPU Top Undergraduate Student Award (highest honor of undergraduates, only 10 winners), 2022
  • NWPU Top Class Scholorship (only 10 winners) 2022
  • National Scholarship (top 1%), 2022 & 2021
  • Modern Scientists Scholarship (top 1%), 2022
  • Huawei Scholarship (top 1%), 2022

Teaching

  • DDA2001 Introduction to Data Science: Spring 2024
    Teaching Assistant
  • DDA4230 Reinforcement Learning: Fall 2023
    Teaching Assistant with Prof. Guiliang Liu