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Academic Achievements
Paper 'Efficiency Robustness of Dynamic Deep Learning Systems' accepted to USENIX Security '25; LLM4SR survey paper now on arXiv; Project TimeWise selected as one of the five finalists in the Tools Competition 2024.
Research Experience
Worked at Intelligent Robotics and Vision Lab (IRVL); Led team ASTRO to be selected as one of the five Red Teams globally in the Amazon Trust AI Challenge and made it into the finals; Led the software engineering team for SalsaBot in the Amazon Alexa Prize SimBot Challenge during his master's program; Collaborated on the TimeWise project with several scholars.
Education
PhD: University of Texas at Dallas, Computer Science, co-advised by Dr. Yu Xiang and Dr. Wei Yang; MS & BS: The Ohio State University, Computer Science and Engineering, worked with Dr. Yu Su.
Background
Research Interests: Reinforcement learning for robotics, post-training and learning technology; Brief Introduction: Currently a second-year Ph.D. student in Computer Science at the University of Texas at Dallas.