Ruochen Jiao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 27

Top Topics

Reinforcement Learning

Event Detection

Top Venues

Publications

Simon Sinong Zhan, Yixuan Wang, Qingyuan Wu, Ruochen Jiao, Chao Huang, Qi Zhu
State-wise safe reinforcement learning with pixel observations. L4DC (2024)
Ruochen Jiao, Shaoyuan Xie, Justin Yue, Takami Sato, Lixu Wang, Yixuan Wang, Qi Alfred Chen, Qi Zhu
Exploring Backdoor Attacks against Large Language Model-based Decision Making. CoRR (2024)
Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. ICML (2023)
Xiangguo Liu, Yunpeng Luo, Anthony Goeckner, Trishna Chakraborty, Ruochen Jiao, Ningfei Wang, Yixuan Wang, Takami Sato, Qi Alfred Chen, Qi Zhu
Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing. DAC (2023)
Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu
Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction. ICCV (2023)
Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen, Qi Zhu
Learning Representation for Anomaly Detection of Vehicle Trajectories. IROS (2023)
Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen, Qi Zhu
Learning Representation for Anomaly Detection of Vehicle Trajectories. CoRR (2023)
Ruochen Jiao, Yixuan Wang, Xiangguo Liu, Chao Huang, Qi Zhu
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling. CoRR (2023)
Payal Mohapatra, Bashima Islam, Md Tamzeed Islam, Ruochen Jiao, Qi Zhu
Efficient Stuttering Event Detection Using Siamese Networks. ICASSP (2023)
Xiangguo Liu, Ruochen Jiao, Yixuan Wang, Yimin Han, Bowen Zheng, Qi Zhu
Safety-Assured Speculative Planning with Adaptive Prediction. CoRR (2023)
Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu
Safety-Driven Interactive Planning for Neural Network-Based Lane Changing. ASP-DAC (2023)
Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu
Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic. AAMAS (2023)
Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu
Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic. CoRR (2023)
Xiangguo Liu, Ruochen Jiao, Yixuan Wang, Yimin Han, Bowen Zheng, Qi Zhu
Safety-Assured Speculative Planning with Adaptive Prediction. IROS (2023)
Simon Sinong Zhan, Yixuan Wang, Qingyuan Wu, Ruochen Jiao, Chao Huang, Qi Zhu
State-wise Safe Reinforcement Learning With Pixel Observations. CoRR (2023)
Yixuan Wang, Ruochen Jiao, Chengtian Lang, Simon Sinong Zhan, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu
Empowering Autonomous Driving with Large Language Models: A Safety Perspective. CoRR (2023)
Yixuan Wang, Simon Sinong Zhan, Ruochen Jiao, Zhilu Wang, Wanxin Jin, Zhuoran Yang, Zhaoran Wang, Chao Huang, Qi Zhu
Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments. CoRR (2022)
Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu
Neural Network based Interactive Lane Changing Planner in Dense Traffic with Safety Guarantee. CoRR (2022)
Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction. CoRR (2022)
Ruochen Jiao, Xiangguo Liu, Bowen Zheng, Dave Liang, Qi Zhu
TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor. CoRR (2022)
Zhilu Wang, Yixuan Wang, Feisi Fu, Ruochen Jiao, Chao Huang, Wenchao Li, Qi Zhu
A Tool for Neural Network Global Robustness Certification and Training. CoRR (2022)
Ruochen Jiao, Xiangguo Liu, Bowen Zheng, Dave Liang, Qi Zhu
TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor. IROS (2022)
Qi Zhu, Chao Huang, Ruochen Jiao, Shuyue Lan, Hengyi Liang, Xiangguo Liu, Yixuan Wang, Zhilu Wang, Shichao Xu
Safety-Assured Design and Adaptation of Learning-Enabled Autonomous Systems. ASP-DAC (2021)
Ruochen Jiao, Hengyi Liang, Takami Sato, Junjie Shen, Qi Alfred Chen, Qi Zhu
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering. IV (2021)
Ruochen Jiao, Hengyi Liang, Takami Sato, Junjie Shen, Qi Alfred Chen, Qi Zhu
End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering. CoRR (2021)
Hengyi Liang, Zhilu Wang, Ruochen Jiao, Qi Zhu
Leveraging Weakly-hard Constraints for Improving System Fault Tolerance with Functional and Timing Guarantees. CoRR (2020)
Hengyi Liang, Zhilu Wang, Ruochen Jiao, Qi Zhu
Leveraging Weakly-hard Constraints for Improving System Fault Tolerance with Functional and Timing Guarantees. ICCAD (2020)