Conference Paper
[ICLR'25] Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, and Ness B. Shroff, "Theory on Mixture-of-Experts in Continual Learning", in International Conference on Learning Representations. 2025 (Spotlight, with acceptance rate 5.1%). arXiv
[INFOCOM'25] Hongbo Li and Lingjie Duan, "Theory of Mixture-of-Experts for Mobile Edge Computing," In IEEE Conference on Computer Communications (INFOCOM). 2025 (Acceptance rate: 18.6%). arXiv
[ISIT'24] Hongbo Li and Lingjie Duan, "Distributed Learning for Dynamic Congestion Games," In IEEE International Symposium on Information Theory. 2024. PDF arXiv
[AIoT'24] Sisui Ngoh*, Hongbo Li*, and Lingjie Duan, "Model Sharing Mechanisms For Distributed Learning," In IEEE Annual Congress on Artificial Intelligence of Things. 2024. PDF
[AAAI'23] Hongbo Li and Lingjie Duan, "When Congestion Games Meet Mobile Crowdsourcing: Selective Information Disclosure," In Proceedings of 37th AAAI Conference on Artificial Intelligence, 37(5), 5739-5746. 2023 (Oral, with acceptance rate 10.8%). PDF arXiv
Journal Paper
[IEEE TMC] Hongbo Li and Lingjie Duan, "Competitive Multi-armed Bandit Games for Spectrum Sharing", IEEE Transactions on Mobile Computing, 2025. PDF arXiv
[IEEE TON] Hongbo Li and Lingjie Duan, "To Analyze and Regulate Human-in-the-loop Learning for Congestion Games", IEEE Transactions on Networking, 2025. PDF arXiv
[IEEE TMC] Hongbo Li and Lingjie Duan, "To Optimize Human-in-the-loop Learning in Repeated Routing Games," IEEE Transactions on Mobile Computing, 24 (4), 2889 - 2899. 2025. PDF arXiv
[IEEE TMC] Hongbo Li and Lingjie Duan, "Human-in-the-loop Learning for Dynamic Congestion Games," IEEE Transactions on Mobile Computing, 23 (12), 11159 - 11171. 2024. PDF arXiv
[IEEE TNSE] Hongbo Li and Lingjie Duan, "Online Pricing Incentive to Sample Fresh Information," IEEE Transactions on Network Science and Engineering, 10 (1), 514-526. 2023. PDF arXiv
Preprints
Hongbo Li, Qinhang Wu, Sen Lin, Yingbin Liang, and Ness B. Shroff, "Mixture-of-Transformers Learn Faster: A Theoretical Study on Classification Problems", submitted for publication.
Hongbo Li, Lingjie Duan, and Yingbin Liang "Provable In-Context Learning of Nonlinear Tasks with Transformers", submitted for publication.
Hongbo Li and Lingjie Duan, "Theoretical Analysis of Mixture-of-Experts in Mobile Edge Computing", under review of IEEE Transactions on Networking.
Hongbo Li, Lingjie Duan, and Ness B. Shroff, "Distributed Conflict-Graph Learning for Competitive Multi-armed Bandits", submitted for publication.
Hongbo Li, Lingjie Duan, and Ness B. Shroff, "When Mobile Crowdsourcing Meets Queueing Systems: Side-payment Mechanism Design", under review of IEEE Transactions on Networking (Major Revision).
Xuda Ding, Han Wang, Hongbo Li, Hao Jiang, and Jianping He, "Robopheus: A virtual-physical interactive mobile robotic testbed". arXiv