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

  • [01/2025] Two papers were accepted to ICLR 2025.
  • [01/2025] One paper was accepted to TMLR.
  • [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

* indicates the equal contribution

2025

  • A Distributional Approach to Uncertainty-Aware Preference Alignment Using Offline Demonstrations
    Sheng Xu, Bo Yue, Hongyuan Zha, Guiliang Liu
    International Conference on Learning Representations (ICLR), 2025
  • Toward Exploratory Inverse Constraint Inference with Generative Diffusion Verifiers
    Runyi Zhao*, Sheng Xu*, Bo Yue, Guiliang Liu
    International Conference on Learning Representations (ICLR), 2025
  • A Comprehensive Survey on Inverse Constrained Reinforcement Learning
    Guiliang Liu, Sheng Xu, Shicheng Liu, Ashish Gaurav, Sriram Ganapathi Subramanian, Pascal Poupart
    Transactions on Machine Learning Research (TMLR), 2025

2024

  • 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
  • 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

2022

  • 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 (Oral)

Honors and Awards

  • Duan Yong Ping Meritorious Research Award, 2024
  • Duan Yong Ping Travel Award, 2024
  • Outstanding Graduate of Shaanxi Province, 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

Teaching

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

Service

  • Conference Reviewer: ICLR, ICML, NeurIPS, AAAI, AISTATS
  • Journal Reviewer: Expert Systems With Applications, Pattern Recognition, Applied Intelligence
  • Volunteer: ICML'24