Sen Lin
About
Sen Lin is an Assistant Professor in the CS department at University of Houston. Previously, he was a Postdoc in the NSF AI-EDGE Institute at The Ohio State University. His research interests broadly fall in the intersection of machine learning and wireless networking. Currently, his research focuses on developing algorithms and theories in continual learning, reinforcement learning, large language models, mixture-of-experts, and bilevel optimization, with applications in multiple domains, e.g., edge computing, physics, security, network control. His research results have been published in top conferences and journals in machine learning and networking. He co-authored books Edge Intelligence in the Making: Optimization, Deep Learning, and Applications (Morgan & Claypool Publishers, 2020) and Continual and Reinforcement Learning for Edge AI: Framework, Foundation, and Algorithm Design (Springer, 2025).
Research Performance Summary
First Recorded Paper
A collaborative learning framework via federated meta-learning
Year: 2020
Citations: 136
Venue: 2020 IEEE 40th International Conference on Distributed Computing Systems (ICDCS)
Latest Recorded Paper
Continual Learning for Particle Accelerators
Year: 2025
Citations: 0
Venue: N/A
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.