Jiaxing/Louis Li
Carnegie Mellon University. 5000 Forbes Ave
34.140308, -118.355071
I’m a research assistant at Robotics Institute, Carnegie Mellon University, fortunately advised by Prof. Changliu Liu, I’m also working closely with Prof. Sebastian Scherer and Yorie Nakahira. Piror to that I completed my M.S(2025) in Electrical and Computer Engineering from CMU and B.S(2023) in ECE from the City University of Hong Kong. My research interests lies in the intersection of control theory and robot learning, and my goal is to acheive optimized performance and safety tradeoff for multitasking robot agents.
During the free time I work with CMU HACKER FAB, where we design automated semiconductor fabrication robots, And I also like tennis 🎾, snowboarding 🏂, and fishing 🎣.
news
| May 15, 2025 | Paper Accepted at IEEE Control Systems Letters! |
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| Apr 08, 2025 | “Verifiable Safety Q-Filters via Hamilton-Jacobi Reachability and Multiplicative Q-Networks” has been accepted by Workshop on Formal Verification of Control with Neural Network Components, See you in Denver at ACC 2025! 🎉 |
| Dec 10, 2024 | Contributed to CMU Hacker Fab's Lithography Stepper v2.1 |
| Dec 07, 2024 | Completed the Autonomous Robotics I final project! Built a YOLOv8-powered object tracking robot with ROS2 and Isaac ROS. 🤖 |
| Sep 20, 2024 | Our autonomous drifting paper was accepted at IEEE ITSC 2024! 🚗💨 |
| Jan 07, 2024 | Started my Master’s program in ECE at Carnegie Mellon University! 🎓 |
selected publications
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Verifiable Safety Q-Filters via Hamilton-Jacobi Reachability and Multiplicative Q-NetworksIEEE Control Systems Letters, 2025 -
Exposing AI-generated Videos: A Benchmark Dataset and a Local-and-Global Temporal Defect Based Detection Method2024arXiv preprint -
Two-Branch Multi-Scale Deep Neural Network for Generalized Document Recapture Attack DetectionIn 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) , Jun 2023