‪Shang Liu‬ - ‪Google Scholar‬

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Citations	28	28
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Co-authors

Xiaocheng LiImperial College Business School, Imperial College LondonVerified email at imperial.ac.uk
Chunlin SunStanford UniversityVerified email at stanford.edu
Jiashuo JiangHong Kong University of Science and TechnologyVerified email at ust.hk
Zhongze CaiImperial College LondonVerified email at imperial.ac.uk
Huaiyang ZhongAssistant Professor, Virginia TechVerified email at vt.edu

Shang Liu

Shang Liu

Ph.D. candidate of Operations Research, Imperial College London

Verified email at imperial.ac.uk - Homepage

Operations Research Optimization Machine Learning Theory


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Non-stationary bandits with knapsacks S Liu, J Jiang, X Li Advances in Neural Information Processing Systems 35, 16522-16532, 2022	17	2022
Maximum optimality margin: A unified approach for contextual linear programming and inverse linear programming C Sun, S Liu, X Li International Conference on Machine Learning, 32886-32912, 2023	4	2023
When No-Rejection Learning is Consistent for Regression with Rejection X Li, S Liu, C Sun, H Wang International Conference on Artificial Intelligence and Statistics, 1126-1134, 2024	2*	2024
Distribution-free model-agnostic regression calibration via nonparametric methods S Liu, Z Cai, X Li Advances in Neural Information Processing Systems 36, 2024	2	2024
Online bin packing with known T S Liu, X Li arXiv preprint arXiv:2112.03200, 2021	2	2021
Towards Better Statistical Understanding of Watermarking LLMs Z Cai, S Liu, H Wang, H Zhong, X Li arXiv preprint arXiv:2403.13027, 2024	1	2024
Understanding Uncertainty Sampling S Liu, X Li arXiv preprint arXiv:2307.02719, 2023		2023

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Articles 1–7