An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles. - Rui Chen 030; Mansur Arief; Ding Zhao (CoRR, 2018)

Active Learning for Risk-Sensitive Inverse Reinforcement Learning. - Rui Chen 030; Wenshuo Wang 001; Zirui Zhao; Ding Zhao (CoRR, 2019)

Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands. - Rui Chen 030; Alvin Shek; Changliu Liu (CoRR, 2021)

How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach. - Rui Chen 030; Mansur Arief; Weiyang Zhang; Ding Zhao (IEEE Trans. Intell. Transp. Syst., 2021)

Jerk-bounded Position Controller with Real-Time Task Modification for Interactive Industrial Robots. - Ruixuan Liu; Rui Chen 030; Yifan Sun 011; Yu Zhao; Changliu Liu (AIM, 2022)

A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion. - Rui Chen 030; Chenxi Wang; Tianhao Wei; Changliu Liu (IROS, 2022)

Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method. - Alvin Shek; Rui Chen 030; Changliu Liu (CoRR, 2022)

Safe Interactive Industrial Robots using Jerk-based Safe Set Algorithm. - Ruixuan Liu; Rui Chen 030; Changliu Liu (CoRR, 2022)

Task-Agnostic Adaptation for Safe Human-Robot Handover. - Ruixuan Liu; Rui Chen 030; Changliu Liu (CoRR, 2022)

Proactive Human-Robot Co-Assembly: Leveraging Human Intention Prediction and Robust Safe Control. - Ruixuan Liu; Rui Chen 030; Abulikemu Abuduweili; Changliu Liu (CCTA, 2023)

Learning from Physical Human Feedback: An Object-Centric One-Shot Adaptation Method. - Alvin Shek; Bo Ying Su; Rui Chen 030; Changliu Liu (ICRA, 2023)

State-wise Safe Reinforcement Learning: A Survey. - Weiye Zhao; Tairan He; Rui Chen 030; Tianhao Wei; Changliu Liu (IJCAI, 2023)

Interactive Car-Following: Matters but NOT Always. - Chengyuan Zhang 002; Rui Chen 030; Jiacheng Zhu; Wenshuo Wang 001; Changliu Liu; Lijun Sun 001 (ITSC, 2023)

Space-Time Conflict Spheres for Constrained Multi-Agent Motion Planning. - Anirudh Chari; Rui Chen 030; Changliu Liu (IV, 2023)

GUARD: A Safe Reinforcement Learning Benchmark. - Weiye Zhao; Rui Chen 030; Yifan Sun 011; Ruixuan Liu; Tianhao Wei; Changliu Liu (CoRR, 2023)

State-wise Constrained Policy Optimization. - Weiye Zhao; Rui Chen 030; Yifan Sun 011; Tianhao Wei; Changliu Liu (CoRR, 2023)

Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands. - Rui Chen 030; Alvin Shek; Changliu Liu (IEEE Robotics Autom. Lett., 2023)

An Optimal Control Framework for Influencing Human Driving Behavior in Mixed-Autonomy Traffic. - Anirudh Chari; Rui Chen 030; Jaskaran Grover; Changliu Liu (ACC, 2024)

Safety Index Synthesis with State-Dependent Control Space. - Rui Chen 030; Weiye Zhao; Changliu Liu (ACC, 2024)

Real-Time Safety Index Adaptation for Parameter-Varying Systems via Determinant Gradient Ascend. - Rui Chen 030; Weiye Zhao; Ruixuan Liu; Weiyang Zhang; Changliu Liu (ACC, 2024)

Meta-Control: Automatic Model-based Control Synthesis for Heterogeneous Robot Skills. - Tianhao Wei; Liqian Ma; Rui Chen 030; Weiye Zhao; Changliu Liu (CoRL, 2024)

Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence. - Weiye Zhao; Feihan Li; Yifan Sun 011; Rui Chen 030; Tianhao Wei; Changliu Liu (ICML, 2024)

Safe Control of Quadruped in Varying Dynamics via Safety Index Adaptation. - Kai S. Yun; Rui Chen 030; Chase Dunaway; John M. Dolan; Changliu Liu (CoRR, 2024)

Constrained Bandwidth Observation Sharing for Multi-Robot Navigation in Dynamic Environments via Intelligent Knapsack. - Anirudh Chari; Rui Chen 030; Changliu Liu (CoRR, 2024)

Absolute State-wise Constrained Policy Optimization: High-Probability State-wise Constraints Satisfaction. - Weiye Zhao; Feihan Li; Yifan Sun 011; Yujie Wang; Rui Chen 030; Tianhao Wei; Changliu Liu (CoRR, 2024)

State-wise Constrained Policy Optimization. - Weiye Zhao; Rui Chen 030; Yifan Sun 011; Feihan Li; Tianhao Wei; Changliu Liu (Trans. Mach. Learn. Res., 2024)

GUARD: A Safe Reinforcement Learning Benchmark. - Weiye Zhao; Yifan Sun 011; Feihan Li; Rui Chen 030; Ruixuan Liu; Tianhao Wei; Changliu Liu (Trans. Mach. Learn. Res., 2024)

Continual Learning and Lifting of Koopman Dynamics for Linear Control of Legged Robots. - Feihan Li; Abulikemu Abuduweili; Yifan Sun 011; Rui Chen 030; Weiye Zhao; Changliu Liu (L4DC, 2025)

Learn With Imagination: Safe Set Guided State-wise Constrained Policy Optimization. - Yifan Sun 011; Feihan Li; Weiye Zhao; Rui Chen 030; Tianhao Wei; Changliu Liu (L4DC, 2025)

Dexterous Safe Control for Humanoids in Cluttered Environments via Projected Safe Set Algorithm. - Rui Chen 030; Yifan Sun 011; Changliu Liu (CoRR, 2025)

SPARK: A Modular Benchmark for Humanoid Robot Safety. - Yifan Sun 011; Rui Chen 030; Kai S. Yun; Yikuan Fang; Sebin Jung; Feihan Li; Bowei Li; Weiye Zhao; Changliu Liu (CoRR, 2025)