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
  • Safe Reinforcement Learning
  • Robust Reinforcement Learning

NEWS

  • [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%).
  • [02/2023] My experience in NWPU was reported by NWPU's Official Website, and quoted by The People's Daily Client, CYOL website, and he Paper Client.

Publications

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