Scholar
Shang Liu
Google Scholar ID: gnnxAZoAAAAJ
Ph.D. candidate of Operations Research, Imperial College London
Citations & Impact
Citations
114
H-index
5
i10-index
4
Publications
12
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Published several academic papers, including:
- - Incentivizing High-Quality Human Annotations with Golden Questions
- - How Humans Help LLMs: Assessing and Incentivizing Human Preference Annotators
- - Reward Modeling with Ordinal Feedback: Wisdom of the Crowd
- - Towards Better Understanding of In-Context Learning Ability from In-Context Uncertainty Quantification
- - Towards Better Statistical Understanding of Watermarking LLMs
- - When No-Rejection Learning is Consistent for Regression with Rejection
- - Understanding Uncertainty Sampling
- - Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
- - Maximum Optimality Margin: A Unified Approach for Contextual Linear Programming and Inverse Linear Programming
- - Non-stationary Bandits with Knapsacks
- - Online Bin Packing with Known T
Research Experience
- Conducting doctoral research at Imperial College Business School, involved in multiple research projects focusing on Machine Learning, Large Language Models, and Operations Research.
Education
- Received B.Sc. from the School of Mathematical Sciences at Peking University in 2021; M.Res. from Imperial College Business School in 2022; currently pursuing Ph.D. at Imperial College Business School, advised by Prof. Xiaocheng Li.
Background
- Research interests include Machine Learning, Large Language Models, and Operations Research. Currently a Ph.D. candidate at Imperial College Business School, advised by Prof. Xiaocheng Li.
Miscellany
- Chinese name is 刘(Liu)上(Shang).
Co-authors