Sheng Xu

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:

[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%).

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 (ICANN), 2022

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

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

“Robust Inverse Constrained Reinforcement Learning under Model Misspecification”.
Invited Talk at RLChina Paper Seminar. [Video (in Chinese)]