Full Publications

Journal

1. Parametric Pareto Set Learning: Amortizing Multi-Objective Optimization with Parameters [PDF]
   Ji Cheng, Xi Lin, Bo Xue and Qingfu Zhang
   In IEEE Transactions on Evolutionary Computation (TEVC 2025), pages: to appear, 2025.

2. Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound [PDF]
   Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Lijun Zhang and Qingfu Zhang
   Journal of Machine Learning Research (JMLR), pages: to appear, 2025.

3. Optimal and Efficient Algorithms for Decentralized Online Convex Optimization [PDF]
   Yuanyu Wan, Tong Wei, Bo Xue, Mingli Song and Lijun Zhang
   Journal of Machine Learning Research (JMLR), 26(135): 1 - 43, 2025.

Conference

1. Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits [PDF]
   Bo Xue, Yuanyu Wan, Zhichao Lu and Qingfu Zhang
   In Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026, Oral), pages: to appear, 2026.

2. Offline Multi-Objective Bandits: From Logged Data to Pareto-Optimal Policies [PDF]
   Ji Cheng, Song Lai, Shunyu Yao and Bo Xue
   In Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026, Oral), pages: to appear, 2026.

3. Parametric Pareto Set Learning for Expensive Multi-Objective Optimization [PDF]
   Ji Cheng, Bo Xue and Qingfu Zhang
   In Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026, Oral), pages: to appear, 2026.

4. TS-MOF: Two-Stage Multi-Objective Fine-tuning for Long-Tailed Recognition [PDF]
   Zhe Zhao, Zhiheng Gong, Pengkun Wang, HaiBin Wen, Cankun Guo, Bo Xue, Xi Lin, Zhenkun Wang, Qingfu Zhang and Yang Wang
   In Advances in Neural Information Processing Systems 38 (NeurIPS 2025), pages: to appear, 2025.

5. Multi-objective Linear Reinforcement Learning with Lexicographic Rewards [PDF]
   Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan and Qingfu Zhang
   In Proceedings of the 42nd International Conference on Machine Learning (ICML 2025), pages: to appear, 2025.

6. Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions [PDF]
   Bo Xue, Xi Lin, Yuanyu Wan and Qingfu Zhang
   In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), pages 6776 - 6784, 2025.

7. Multi-Objective Neural Bandits with Random Scalarization [PDF]
   Ji Cheng, Bo Xue, Chengyu Lu, Ziqiang Cui and Qingfu Zhang
   In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI 2025), pages 4914 - 4922, 2025.

8. Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits [PDF]
   Bo Xue, Xi Lin, Xiaoyuan Zhang and Qingfu Zhang
   In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025, Oral), pages 21850 - 21858, 2025.

9. Safe Online Convex Optimization with Heavy-Tailed Observation Noises [PDF]
   Yunhao Yang, Bo Xue, Yunzhi Hao, Ying Li and Yuanyu Wan
   In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025), pages 22047 - 22055, 2025.

10. DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models [PDF]
    Yimu Wang, Shuai Yuan, Bo Xue, Xiangru Jian, Wei Pang, Mushi Wang, Ning Yu
    In Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL 2025), pages 3037 - 3056, 2025.

11. 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.

12. 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.

13. 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.

14. 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.

15. 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.

16. 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.

17. 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.

18. 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.

19. 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.

← Back to Home