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Ruochen Jiao
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2020 – today
- 2024
- [c13]Simon Sinong Zhan, Yixuan Wang, Qingyuan Wu, Ruochen Jiao, Chao Huang, Qi Zhu:
State-wise safe reinforcement learning with pixel observations. L4DC 2024: 1187-1201 - [i15]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 abs/2405.20774 (2024) - [i14]Simon Sinong Zhan, Qingyuan Wu, Philip Wang, Yixuan Wang, Ruochen Jiao, Chao Huang, Qi Zhu:
Model-Based Reward Shaping for Adversarial Inverse Reinforcement Learning in Stochastic Environments. CoRR abs/2410.03847 (2024) - 2023
- [c12]Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu:
Safety-Driven Interactive Planning for Neural Network-Based Lane Changing. ASP-DAC 2023: 39-45 - [c11]Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu:
Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic. AAMAS 2023: 2568-2570 - [c10]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: 1-4 - [c9]Payal Mohapatra, Bashima Islam, Md Tamzeed Islam, Ruochen Jiao, Qi Zhu:
Efficient Stuttering Event Detection Using Siamese Networks. ICASSP 2023: 1-5 - [c8]Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu:
Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction. ICCV 2023: 8173-8183 - [c7]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: 36593-36604 - [c6]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: 9699-9706 - [c5]Xiangguo Liu, Ruochen Jiao, Yixuan Wang, Yimin Han, Bowen Zheng, Qi Zhu:
Safety-Assured Speculative Planning with Adaptive Prediction. IROS 2023: 9714-9721 - [i13]Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu:
Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic. CoRR abs/2302.02513 (2023) - [i12]Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen, Qi Zhu:
Learning Representation for Anomaly Detection of Vehicle Trajectories. CoRR abs/2303.05000 (2023) - [i11]Xiangguo Liu, Ruochen Jiao, Yixuan Wang, Yimin Han, Bowen Zheng, Qi Zhu:
Safety-Assured Speculative Planning with Adaptive Prediction. CoRR abs/2307.11876 (2023) - [i10]Ruochen Jiao, Yixuan Wang, Xiangguo Liu, Chao Huang, Qi Zhu:
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling. CoRR abs/2309.09317 (2023) - [i9]Simon Sinong Zhan, Yixuan Wang, Qingyuan Wu, Ruochen Jiao, Chao Huang, Qi Zhu:
State-wise Safe Reinforcement Learning With Pixel Observations. CoRR abs/2311.02227 (2023) - [i8]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 abs/2312.00812 (2023) - 2022
- [c4]Ruochen Jiao, Xiangguo Liu, Bowen Zheng, Dave Liang, Qi Zhu:
TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor. IROS 2022: 12534-12541 - [i7]Xiangguo Liu, Ruochen Jiao, Bowen Zheng, Dave Liang, Qi Zhu:
Neural Network based Interactive Lane Changing Planner in Dense Traffic with Safety Guarantee. CoRR abs/2201.09112 (2022) - [i6]Ruochen Jiao, Xiangguo Liu, Bowen Zheng, Dave Liang, Qi Zhu:
TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor. CoRR abs/2203.01261 (2022) - [i5]Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu:
Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction. CoRR abs/2205.14230 (2022) - [i4]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 abs/2208.07289 (2022) - [i3]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 abs/2209.15090 (2022) - 2021
- [c3]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: 753-760 - [c2]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: 266-273 - [i2]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 abs/2103.00345 (2021) - 2020
- [c1]Hengyi Liang, Zhilu Wang, Ruochen Jiao, Qi Zhu:
Leveraging Weakly-hard Constraints for Improving System Fault Tolerance with Functional and Timing Guarantees. ICCAD 2020: 101:1-101:9 - [i1]Hengyi Liang, Zhilu Wang, Ruochen Jiao, Qi Zhu:
Leveraging Weakly-hard Constraints for Improving System Fault Tolerance with Functional and Timing Guarantees. CoRR abs/2008.06192 (2020)
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last updated on 2024-11-15 19:31 CET by the dblp team
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