Shang Liu

Ph.D. candidate at Imperial College Business School Imperial College London, South Kensington Campus, London, SW7 2AZ, United Kingdom Email: s.liu21@imperial.ac.uk

About me

I am now a Ph.D. candidate at Imperial College Business School under the advice of Prof. Xiaocheng Li.
I received my M.Res. degree from Imperial College Business School in 2022. Before joining Imperial College, I received my B.Sc. degree from School of Mathematical Sciences at Peking University in 2021.
Here is my CV.
For those who are interested, my Chinese name is 刘(Liu)上(Shang).

Research

My current research interests include:

• Machine Learning, Large Language Models, and Operations Research

Publications

reverse chronological order

1. Towards Better Statistical Understanding of Watermarking LLMs
   by Zhongze Cai*, Shang Liu*, Hanzhao Wang*, Huaiyang Zhong, Xiaocheng Li, [arXiv].

2. When No-Rejection Learning is Consistent for Regression with Rejection
   by Xiaocheng Li, Shang Liu, Chunlin Sun, Hanzhao Wang, accepted at AISTATS 2024, [arXiv].

3. Understanding Uncertainty Sampling
   by Shang Liu and Xiaocheng Li, submitted, [arXiv].

4. Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
   by Shang Liu*, Zhongze Cai*, and Xiaocheng Li, accepted at NeurIPS 2023, [arXiv].

5. Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
   by Chunlin Sun*, Shang Liu*, and Xiaocheng Li, accepted at ICML 2023, [arXiv].

6. Non-stationary Bandits with Knapsacks
   by Shang Liu, Jiashuo Jiang, and Xiaocheng Li, accepted at NeurIPS 2022, [arXiv].

7. Online Bin Packing with Known T
   by Shang Liu and Xiaocheng Li, under major revision at Mathematics of Operations Research, [arXiv].