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. Incentivizing High-Quality Human Annotations with Golden Questions
   by Shang Liu, Zhongze Cai, Hanzhao Wang, Zhongyao Ma, Xiaocheng Li, [arXiv].

2. How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators
   by Shang Liu*, Hanzhao Wang*, Zhongyao Ma, Xiaocheng Li, [arXiv].

3. Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
   by Shang Liu*, Yu Pan*, Guanting Chen, Xiaocheng Li, ICML 2025, [arXiv].

4. Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
   by Shang Liu*, Zhongze Cai*, Guanting Chen, Xiaocheng Li, TMLR， [arXiv].

5. Towards Better Statistical Understanding of Watermarking LLMs
   by Zhongze Cai*, Shang Liu*, Hanzhao Wang*, Huaiyang Zhong, Xiaocheng Li, under major revision at JASA, [arXiv].

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

7. Understanding Uncertainty Sampling
   by Shang Liu, Xiaocheng Li, submitted, reject and resubmission at JMLR, [arXiv].

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

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

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

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