About

I’m a second 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 (rank: 1/225) 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
  • Reinforcement Learning Applications in Sports Science

News

  • [07/2024] One book chapter was under processing by the editor.
  • [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

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

  • Risk, Reward, and Reinforcement Learning in Ice Hockey Analytics
    Sheng Xu, Oliver Schulte, Yudong Luo, Pascal Poupart, Guiliang Liu
    Book Chapter in Artificial Intelligence and Machine Learning in Sports Science, Springer, 2024

  • 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 (), 2022 (Oral)

  • A Comprehensive Survey on Inverse Constrained Reinforcement Learning
    Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart

  • 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


Honors and Awards

  • 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 Scholarship (only 10 winners) 2022
  • National Scholarship (top 1%), 2022 & 2021
  • Modern Scientists Scholarship (top 1%), 2022
  • Huawei Scholarship (top 1%), 2022
  • Meritorious Winner, Mathematical Contest In Modeling, 2022
  • First Prize, "Challenge Cup" Competition, 2022

Teaching

  • DDA4230 Reinforcement Learning: Fall 2023 & 2024
    Leading Teaching Assistant
  • DDA2001 Introduction to Data Science: Spring 2024
    Teaching Assistant

Service

  • Reviewer: ICLR'25, AISTATS'25, AAAI'25-UC, NeurIPS'24, NeurIPS'24-BDU
  • Volunteer: ICML'24