Leveraging Weakly-hard Constraints for Improving System Fault Tolerance with Functional and Timing Guarantees. - Hengyi Liang; Zhilu Wang; Ruochen Jiao; Qi Zhu 002 (ICCAD, 2020)

Safety-Assured Design and Adaptation of Learning-Enabled Autonomous Systems. - Qi Zhu 002; Chao Huang 015; Ruochen Jiao; Shuyue Lan; Hengyi Liang; Xiangguo Liu; Yixuan Wang 001; Zhilu Wang; Shichao Xu (ASP-DAC, 2021)

End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering. - Ruochen Jiao; Hengyi Liang; Takami Sato; Junjie Shen 001; Qi Alfred Chen; Qi Zhu 002 (IV, 2021)

TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor. - Ruochen Jiao; Xiangguo Liu; Bowen Zheng 001; Dave Liang; Qi Zhu 002 (IROS, 2022)

Neural Network based Interactive Lane Changing Planner in Dense Traffic with Safety Guarantee. - Xiangguo Liu; Ruochen Jiao; Bowen Zheng 001; Dave Liang; Qi Zhu 002 (CoRR, 2022)

Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction. - Ruochen Jiao; Xiangguo Liu; Takami Sato; Qi Alfred Chen; Qi Zhu 002 (CoRR, 2022)

A Tool for Neural Network Global Robustness Certification and Training. - Zhilu Wang; Yixuan Wang 001; Feisi Fu; Ruochen Jiao; Chao Huang 015; Wenchao Li 001; Qi Zhu 002 (CoRR, 2022)

Safety-Driven Interactive Planning for Neural Network-Based Lane Changing. - Xiangguo Liu; Ruochen Jiao; Bowen Zheng 001; Dave Liang; Qi Zhu 002 (ASP-DAC, 2023)

Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic. - Xiangguo Liu; Ruochen Jiao; Bowen Zheng 001; Dave Liang; Qi Zhu 002 (AAMAS, 2023)

Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing. - Xiangguo Liu; Yunpeng Luo; Anthony Goeckner; Trishna Chakraborty; Ruochen Jiao; Ningfei Wang; Yixuan Wang 001; Takami Sato; Qi Alfred Chen; Qi Zhu 002 (DAC, 2023)

Efficient Stuttering Event Detection Using Siamese Networks. - Payal Mohapatra; Bashima Islam; Md Tamzeed Islam; Ruochen Jiao; Qi Zhu 002 (ICASSP, 2023)

Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction. - Ruochen Jiao; Xiangguo Liu; Takami Sato; Qi Alfred Chen; Qi Zhu 002 (ICCV, 2023)

Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. - Yixuan Wang 001; Simon Sinong Zhan; Ruochen Jiao; Zhilu Wang; Wanxin Jin; Zhuoran Yang; Zhaoran Wang 001; Chao Huang 015; Qi Zhu 002 (ICML, 2023)

Learning Representation for Anomaly Detection of Vehicle Trajectories. - Ruochen Jiao; Juyang Bai; Xiangguo Liu; Takami Sato; Xiaowei Yuan; Qi Alfred Chen; Qi Zhu 002 (IROS, 2023)

Safety-Assured Speculative Planning with Adaptive Prediction. - Xiangguo Liu; Ruochen Jiao; Yixuan Wang 001; Yimin Han; Bowen Zheng 001; Qi Zhu 002 (IROS, 2023)

Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling. - Ruochen Jiao; Yixuan Wang 001; Xiangguo Liu; Chao Huang 015; Qi Zhu 002 (CoRR, 2023)

Empowering Autonomous Driving with Large Language Models: A Safety Perspective. - Yixuan Wang 001; Ruochen Jiao; Chengtian Lang; Simon Sinong Zhan; Chao Huang 015; Zhaoran Wang 001; Zhuoran Yang; Qi Zhu 002 (CoRR, 2023)

Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling. - Ruochen Jiao; Yixuan Wang 001; Xiangguo Liu; Simon Sinong Zhan; Chao Huang 015; Qi Zhu 002 (IROS, 2024)

State-wise safe reinforcement learning with pixel observations. - Simon Sinong Zhan; Yixuan Wang 001; Qingyuan Wu; Ruochen Jiao; Chao Huang 015; Qi Zhu 002 (L4DC, 2024)

Exploring Backdoor Attacks against Large Language Model-based Decision Making. - Ruochen Jiao; Shaoyuan Xie; Justin Yue; Takami Sato; Lixu Wang; Yixuan Wang 001; Qi Alfred Chen; Qi Zhu 002 (CoRR, 2024)

Model-Based Reward Shaping for Adversarial Inverse Reinforcement Learning in Stochastic Environments. - Simon Sinong Zhan; Qingyuan Wu; Philip Wang; Yixuan Wang 001; Ruochen Jiao; Chao Huang 015; Qi Zhu 002 (CoRR, 2024)

Inverse Delayed Reinforcement Learning. - Simon Sinong Zhan; Qingyuan Wu; Zhian Ruan; Frank Yang; Philip Wang; Yixuan Wang 001; Ruochen Jiao; Chao Huang 015; Qi Zhu 002 (CoRR, 2024)

Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-Based Decision-Making Systems. - Ruochen Jiao; Shaoyuan Xie; Justin Yue; Takami Sato; Lixu Wang; Yixuan Wang 001; Qi Alfred Chen; Qi Zhu 002 (ICLR, 2025)

Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning. - Yimeng Zhang; Tian Wang; Jiri Gesi; Ziyi Wang; Yuxuan Lu 003; Jiacheng Lin; Sinong Zhan; Vianne Gao; Ruochen Jiao; Junze Liu; Kun Qian; Yuxin Tang; et al. (CoRR, 2025)