Hongbo Li
Computer Science · The Ohio State University
Publications
54
Citations
305
Est. group size
—
Recurring co-author estimate
Active years
26
Publishing since 2001
This researcher works on algorithms and learning methods for networked systems, including how to optimize wireless channel access, manage traffic congestion in routing games, and share computing resources efficiently in mobile networks. Much of the recent work uses game theory (models of competing decision-makers) and machine learning techniques like transformers and multi-armed bandits (methods for balancing exploration and exploitation) to design and analyze these systems. The publication record also includes some more applied and unrelated work, such as image recognition and material fabrication.
Publication output has grown over the last decade, rising from sporadic single-digit yearly counts before 2022 to a more consistent 4-6 papers per year from 2022 onward.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Transformer-Based In-Context Learning for Distributed Channel Access Optimization
IEEE Transactions on Mobile Computing · 2026
- To Analyze and Regulate Human-in-the-Loop Learning for Congestion Games
IEEE Transactions on Networking · 2025
- Competitive Multi-Armed Bandit Games for Resource Sharing
IEEE Transactions on Mobile Computing · 2025
- Multi-Label Image Recognition Algorithm Based on Convolutional Block Attention Module
2025
- To Analyze and Regulate Human-in-the-loop Learning for Congestion Games
arXiv (Cornell University) · 2025
- To Theoretically Understand Transformer-Based In-Context Learning for Optimizing CSMA
2025
- Theoretical Analysis of Mixture-of-Experts in Mobile Edge Computing
IEEE Transactions on Networking · 2025
- Human-in-the-Loop Learning for Dynamic Congestion Games
IEEE Transactions on Mobile Computing · 2024
- To Optimize Human-in-the-Loop Learning in Repeated Routing Games
IEEE Transactions on Mobile Computing · 2024
- Distributed Learning for Dynamic Congestion Games
arXiv (Cornell University) · 2024
- To Optimize Human-in-the-loop Learning in Repeated Routing Games
arXiv (Cornell University) · 2024
- Lossless Compression of Large Aperture Static Imaging Spectrometer Data
Applied Sciences · 2023
- Finding Good Partial Assignments during Restart-Based Branch and Bound Search
Proceedings of the AAAI Conference on Artificial Intelligence · 2023
- Restoration Strategy of Distributed Power Supply in Distribution Network Based on Genetic Algorithm
Journal of Physics Conference Series · 2023
- Improved YOLOv5-based target detection algorithm on water
2023
- arXiv (Cornell University)×7
- IEEE Transactions on Mobile Computing×4
- IEEE Transactions on Networking×3
- IEEE Transactions on Visualization and Computer Graphics×1
- Shock and Vibration×1
- Amir Behjat
Computer Science · Purdue University West Lafayette
- Andrew Perrault
Computer Science · The Ohio State University
- Abhishek Gupta
Computer Science · The Ohio State University
- Alejandro Murillo-González
Computer Science · Indiana University
- Boyuan Chen
Computer Science · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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