Shang Liu

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Ph.D. candidate at Imperial College Business School
Imperial College London,
South Kensington Campus, London, SW7 2AZ, United Kingdom
Phone: +44 0742 172 5807 or +86 188 1098 2295
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:

  • Deep Learning Theory

  • Statistical Learning Theory

  • Optimization for Machine Learning

Publications

reverse chronological order

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

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

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

  4. 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].

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

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