When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure. - Hongbo Li 008; Lingjie Duan (AAAI, 2023)

Online Pricing Incentive to Sample Fresh Information. - Hongbo Li 008; Lingjie Duan (IEEE Trans. Netw. Sci. Eng., 2023)

Distributed Learning for Dynamic Congestion Games. - Hongbo Li 008; Lingjie Duan (ISIT, 2024)

Human-in-the-Loop Learning for Dynamic Congestion Games. - Hongbo Li 008; Lingjie Duan (IEEE Trans. Mob. Comput., 2024)

Theory on Mixture-of-Experts in Continual Learning. - Hongbo Li 008; Sen Lin 001; Lingjie Duan; Yingbin Liang; Ness B. Shroff (ICLR, 2025)

Theory of Mixture-of-Experts for Mobile Edge Computing. - Hongbo Li 008; Lingjie Duan (INFOCOM, 2025)

To Analyze and Regulate Human-in-the-loop Learning for Congestion Games. - Hongbo Li 008; Lingjie Duan (CoRR, 2025)

To Optimize Human-in-the-Loop Learning in Repeated Routing Games. - Hongbo Li 008; Lingjie Duan (IEEE Trans. Mob. Comput., 2025)

Provable In-Context Learning of Nonlinear Regression with Transformers. - Hongbo Li 008; Lingjie Duan; Yingbin Liang (CoRR, 2025)

To Theoretically Understand Transformer-Based In-Context Learning for Optimizing CSMA. - Shugang Hao; Hongbo Li 008; Lingjie Duan (CoRR, 2025)

Competitive Multi-Armed Bandit Games for Resource Sharing. - Hongbo Li 008; Lingjie Duan (IEEE Trans. Mob. Comput., 2025)