Bo Xue (薛波)

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Ph.D. Student,
City University of Hong Kong
Hong Kong, China

Supervisor: Prof. Qingfu Zhang
E-mail: boxue4-c@my.cityu.edu.hk

About Me

Hello! I am Bo Xue (薛波), a third-year PhD student in Department of Computer Science at the City University of Hong Kong. I am 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.

Publications

  1. Multiobjective Lipschitz Bandits under Lexicographic Ordering [PDF]
    Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, and Qingfu Zhang
    In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), pages 16238 - 16246, 2024.

  2. Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits [PDF]
    Ji Cheng, Bo Xue, Jiaxiang Yi, and Qingfu Zhang
    In Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), pages 11489 - 11497, 2024.

  3. Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards [PDF]
    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.

  4. Hypervolume Maximization: A Geometric View of Pareto Set Learning [PDF]
    Xiaoyuan Zhang, Xi Lin, Bo Xue, Yifan Chen, and Qingfu Zhang
    In Advances in Neural Information Processing Systems 36 (NeurIPS 2023), pages 38902 - 38929, 2023.

  5. Balance Act: Mitigating Hubness in Cross-modal Retrieval with Query and Gallery Banks [PDF]
    Yimu Wang, Xiangru Jian, and Bo Xue
    In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), pages 10542 - 10567, 2023.

  6. Deep Unified Cross-Modality Hashing by Pairwise Data Alignment [PDF]
    Yimu Wang, Bo Xue, Quan Cheng, Yuhui Chen, and Lijun Zhang
    In Proceedings of the 30th International Joint Conference on Artificial Intelligence (IJCAI 2021), pages 1129 - 1135, 2021.

  7. Projection-free Online Learning in Dynamic Environments [PDF]
    Yuanyu Wan, Bo Xue, and Lijun Zhang
    In Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI 2021), pages 10067 - 1007, 2021.

  8. Piecewise Hashing: A Deep Hashing Method for Large-Scale Fine-Grained Search [PDF]
    Yimu Wang, Xiu-Shen Wei, Bo Xue, and Lijun Zhang
    In Proceedings of the 3rd Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2020), pages 432 - 444, 2020.

  9. Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs [PDF]
    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: AISTATS, NeurIPS, ICLR, AI, EAAI

Working Experience

  1. Algorithm Engineer, Huawei Technologies Co., Ltd., Jun., 2021 -- Aug., 2022

  2. Algorithm Engineer Intern, Alibaba., Jun., 2020 -- Sep., 2020