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I am a PhD student at University of Pennsylvania, advised by Rahul Mangharam. Previously, I obtained my Bachelor's degree from Shanghai Jiao Tong University in 2021, where I worked closely with Xiang Yin. I was a research scientist intern at Toyota Research with Bardh Hoxha and Georgios Fainekos during the summer of 2023. I was born in 2000, Hunan, China. I am broadly interested in formal methods, machine learning, control theory, and algorithmic game theory, with their applications to robotic and multi-agents systems. In the past, my work mainly cover
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[Apr 2024] Glad to hear that I am selected as a 2024 DAAD AInet Fellow on Safe and Secure AI. [Mar 2024] I wrote a simple and easy-to-use Nash Equilibrium Solver for Two-Player Zero-Sum games, feel free to play around with it. [Jan 2024] Our paper on Learning Adaptive Safety is accepted by ICRA 2024. [Jan 2024] New work on Learning Local Safety Filters for Hybrid Systems [preprint][code]. [Jan 2024] I give a talk at CMU Intelligent Control Lab. [Jan 2024] Our paper on Safe Hybrid System is accepted by ACC 2024. [Dec 2023] Selected as a Global Young PhD Fellow of Linear Capital. [Dec 2023] I am invited to be an Area Chair of Tiny Papers @ ICLR 2024. [Sep 2023] I give a talk at UPenn ASSET Seminar with Rahul. [Sep 2023] Invited talk at UPenn Formal Methods & Machine Learning Seminar. [Jul 2023] I give a talk at UMich Prof. Necmiye Ozay's group. |
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(* indicates equal contribution) |
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Conformal Off-Policy Prediction for Multi-Agent Systems
Bridging the Gap between Discrete Agent Strategies in Game Theory and Continuous Motion Planning in Dynamic Environments
Learning Local Control Barrier Functions for Safety Control of Hybrid Systems
Multi-agent reinforcement learning guided by signal temporal logic specifications
MEGA-DAgger: Imitation learning with multiple imperfect experts
Learning Adaptive Safety for Multi-Agent Systems
Shuo Yang, Mitchell Black, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Rahul Mangharam American Control Conference (ACC) 2024 [PDF][code]
Safe perception-based control under stochastic sensor uncertainty using conformal prediction
You don't know when I will arrive: unpredictable controller synthesis for temporal logic tasks
A benchmark comparison of imitation learning-based control policies for autonomous racing
Differentiable safe controller design through control barrier functions
Verification and Synthesis of Opacity for Cyber-Physical Systems
Secure your intention: On notions of pre-opacity in discrete-event systems
Opacity of networked supervisory control systems over insecure communication channels
Secure-by-construction optimal path planning for linear temporal logic tasks
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University of Pennsylvania, Philadelphia, PA, USA Toyota Research Institute of North America, Ann Arbor, MI, USA Duke University, remote Shanghai Jiao Tong University, Shanghai, China |
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