Bo Xue (薛波)
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Postdoctoral Fellow E-mail: bo.xue@cuhk.edu.hk | boxue4-c@my.cityu.edu.hk | xueb@lamda.nju.edu.cn |
About Me
Hello! I am Bo Xue (薛波), a Postdoctoral Fellow in the Department of Computer Science and Engineering at The Chinese University of Hong Kong. I have been working with Prof. Sinno Jialin Pan since October 2026.
From May to September 2026, I worked as a Research Assistant at the City University of Hong Kong with Prof. Shuang Qiu.
I received my Ph.D. in Computer Science and Technology from the Department of Computer Science at the City University of Hong Kong in April 2026, where I was very fortunate to be advised by Prof. Qingfu Zhang.
I got my M.S. degree from Department of Computer Science and Technology in June 2021 from Nanjing University, where I was very fortunate to be advised by Prof. Lijun Zhang. I was also a member of LAMDA group, led by Prof. Zhi-Hua Zhou.
I got my B.S. degree from School of Mathematics in June 2018 from Nanjing University. In the same year, I was admitted to study for a M.S. degree in Nanjing University without entrance examination.
I am interested in bandits, stochastic optimization and multi-objective optimization.
Selected Papers (Full publications)
Lexicographic Multi-Objective Combinatorial Bandits: From Semi-Bandit to Full-Bandit Feedback [DOI]
Bo Xue, Yilu Liu, Ji Cheng, Zhenkun Wang and Qingfu Zhang
IEEE Transactions on Knowledge and Data Engineering (TKDE), accepted, 2026.Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound [PDF] [BIB]
Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Lijun Zhang and Qingfu Zhang
Journal of Machine Learning Research (JMLR), 26(223): 1 - 56, 2025.Multi-objective Linear Reinforcement Learning with Lexicographic Rewards [PDF] [BIB]
Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan and Qingfu Zhang
In Proceedings of the 42nd International Conference on Machine Learning (ICML 2025), pages 70065 - 70085, 2025.Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards [PDF] [BIB]
Bo Xue, Yimu Wang, Yuanyu Wan, Jinfeng Yi, and Lijun Zhang
In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), pages 70880 - 70891, 2023.Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs [PDF] [BIB]
Bo Xue, Guanghui Wang, Yimu Wang, and Lijun Zhang
In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI 2020), pages 2936 - 2942, 2020.
Academic Service
Reviewer for Conferences: NeurIPS, ICML, ICLR, AAAI, IJCAI, AISTATS, WWW.
Reviewer for Journals: EAAI, AI.