Minwoo Jake Lee
About
I am an associate professor in the Department of Computer Science and School of Data Science, University of North Carolina at Charlotte (Charlotte). I am working on machine learning algorithms for reinforcement learning. My interests focus on various topics in machine learning, with an emphasis on reinforcement learning, such as interpretational learning, transfer learning, continual learning, sparse learning, multiagent learning, fine control based policy development and robust knowledge augmentation. Recent research focuses on the analysis, enhancement, and trustworthiness of learning in diverse human-AI interactions, as well as in generative models and dynamic environments. I received my Ph.D. in Computer Science from the Colorado State University in 2017, advised by Chuck Anderson.
Research Performance Summary
First Recorded Paper
Unknown Cyber-attack Scenarios Generation Using the Symbolic Simulation
Year: 2001
Citations: 0
Venue: IRC International Conference on Internet Retrieval
Latest Recorded Paper
Think Before You Prune: Self-Reflective Structured Pruning for Reasoning Language Models
Year: 2025
Citations: 0
Venue: arXiv preprint arXiv:2512.02185
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.