| 2026 | AAAI | Offline Multi-Objective Bandits: From Logged Data to Pareto-Optimal Policies. | Ji Cheng, Song Lai, Shunyu Yao, Bo Xue |
| 2026 | AAAI | Parametric Pareto Set Learning for Expensive Multi-Objective Optimization. | Ji Cheng, Bo Xue, Qingfu Zhang |
| 2026 | AAAI | Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits. | Bo Xue, Yuanyu Wan, Zhichao Lu, Qingfu Zhang |
| 2025 | AAAI | Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits. | Bo Xue, Xi Lin, Xiaoyuan Zhang, Qingfu Zhang |
| 2025 | AAAI | Safe Online Convex Optimization with Heavy-Tailed Observation Noises. | Yunhao Yang, Bo Xue, Yunzhi Hao, Ying Li, Yuanyu Wan |
| 2025 | ICASSP | AceParse: A Comprehensive Dataset with Diverse Structured Texts for Academic Literature Parsing. | Huawei Ji, Cheng Deng, Bo Xue, Zhouyang Jin, Jiaxin Ding, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou |
| 2025 | ICML | Multi-objective Linear Reinforcement Learning with Lexicographic Rewards. | Bo Xue, Dake Bu, Ji Cheng, Yuanyu Wan, Qingfu Zhang |
| 2025 | IJCAI | Multi-Objective Neural Bandits with Random Scalarization. | Ji Cheng, Bo Xue, Chengyu Lu, Ziqiang Cui, Qingfu Zhang |
| 2025 | IJCAI | Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions. | Bo Xue, Xi Lin, Yuanyu Wan, Qingfu Zhang |
| 2025 | NAACL | DREAM: Improving Video-Text Retrieval Through Relevance-Based Augmentation Using Large Foundation Models. | Yimu Wang, Shuai Yuan, Bo Xue, Xiangru Jian, Wei Pang, Mushi Wang, Ning Yu |
| 2025 | SIGIR | DeepReport: An AI-assisted Idea Generation System for Scientific Research. | Yi Xu, Luoyi Fu, Shuqian Sheng, Bo Xue, Jiaxin Ding, Lei Zhou, Xinbing Wang, Chenghu Zhou |
| 2024 | AAAI | Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits. | Ji Cheng, Bo Xue, Jiaxiang Yi, Qingfu Zhang |
| 2024 | AAAI | Multiobjective Lipschitz Bandits under Lexicographic Ordering. | Bo Xue, Ji Cheng, Fei Liu, Yimu Wang, Qingfu Zhang |
| 2023 | ACL | Exploring and Verbalizing Academic Ideas by Concept Co-occurrence. | Yi Xu, Shuqian Sheng, Bo Xue, Luoyi Fu, Xinbing Wang, Chenghu Zhou |
| 2023 | EMNLP | Balance Act: Mitigating Hubness in Cross-Modal Retrieval with Query and Gallery Banks. | Yimu Wang, Xiangru Jian, Bo Xue |
| 2022 | ICONIP | Hybrid-Supervised Network for 3D Renal Tumor Segmentation in Abdominal CT. | Bo Xue, Zhiqin Liu, Qingfeng Wang, Qin Tang, Jun Huang, Ying Zhou |
| 2022 | ISCAS | SNU-Net: a self-supervised deep learning method for pneumothorax segmentation on chest CT. | Bo Xue, Zhiqin Liu, Qingfeng Wang, Qin Tang, Jun Huang, Ying Zhou |
| 2021 | AAAI | Projection-free Online Learning in Dynamic Environments. | Yuanyu Wan, Bo Xue, Lijun Zhang |
| 2021 | IJCAI | Deep Unified Cross-Modality Hashing by Pairwise Data Alignment. | Yimu Wang, Bo Xue, Quan Cheng, Yuhui Chen, Lijun Zhang |
| 2020 | IJCAI | Nearly Optimal Regret for Stochastic Linear Bandits with Heavy-Tailed Payoffs. | Bo Xue, Guanghui Wang, Yimu Wang, Lijun Zhang |
| 2019 | IECON | Time Domain Coupling Coefficient Estimation Using Transmitter-side Information in Wireless Power Transfer System. | Kang Yue, Yu Liu, Peng Zhao, Bo Xue, Rong He |