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Ruochen Jiao

Safety-Assured Design and Adaptation of Learning-Enabled Autonomous Systems
2021 · Qi Zhu, Chao Huang, et al. · Asia and South Pacific Design Automation Conference (ASP-DAC) · 22
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Enforcing Hard Constraints with Soft Barriers: Safe Reinforcement Learning in Unknown Stochastic Environments
2022 · Wang, Yixuan, Zhan, Simon Sinong, et al. · arXiv (Cornell University) · 19
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TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor
2022 · Ruochen Jiao, Xiangguo Liu, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 18
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Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction
2023 · Ruochen Jiao, Xiangguo Liu, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 17
Learning Representation for Anomaly Detection of Vehicle Trajectories
2023 · Ruochen Jiao, Juyang Bai, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 16
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Safety-Driven Interactive Planning for Neural Network-Based Lane Changing
2023 · Xiangguo Liu, Ruochen Jiao, et al. · Asia and South Pacific Design Automation Conference (ASP-DAC) · 13
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Leveraging weakly-hard constraints for improving system fault tolerance with functional and timing guarantees
2020 · Hengyi Liang, Zhilu Wang, et al. · 13
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End-to-end Uncertainty-based Mitigation of Adversarial Attacks to Automated Lane Centering
2021 · Ruochen Jiao, Hengyi Liang, et al. · IEEE Intelligent Vehicles Symposium · 12
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Empowering Autonomous Driving with Large Language Models: A Safety Perspective
2023 · Wang, Yixuan, Jiao, Ruochen, et al. · arXiv (Cornell University) · 11
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Efficient Stuttering Event Detection Using Siamese Networks
2023 · Payal Mohapatra, Bashima Islam, et al. · IEEE International Conference on Acoustics Speech and Signal Processing · 11
Kinematics-aware Trajectory Generation and Prediction with Latent Stochastic Differential Modeling
2024 · Ruochen Jiao, Yixuan Wang, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 10
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A Tool for Neural Network Global Robustness Certification and Training
2022 · Wang, Zhilu, Wang, Yixuan, et al. · arXiv (Cornell University) · 8
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Safety-Assured Speculative Planning with Adaptive Prediction
2023 · Xiangguo Liu, Ruochen Jiao, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 6
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Semi-supervised Semantics-guided Adversarial Training for Trajectory Prediction
2022 · Jiao, Ruochen, Liu, Xiangguo, et al. · arXiv (Cornell University) · 6
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WIP: End-to-End Analysis of Adversarial Attacks to Automated Lane Centering Systems
2021 · Hengyi Liang, Ruochen Jiao, et al. · International Workshop on Automotive and Autonomous Vehicle Security (AutoSec) · 5
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Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing
2023 · Xiangguo Liu, Yunpeng Luo, et al. · ACM/IEEE Design Automation Conference (DAC) · 3
Connectivity Enhanced Safe Neural Network Planner for Lane Changing in Mixed Traffic
2023 · Xiangguo Liu, Ruochen Jiao, et al. · Adaptive Agents and Multi-Agents Systems · 3
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Can We Trust Embodied Agents? Exploring Backdoor Attacks against Embodied LLM-based Decision-Making Systems
2024 · Jiao, Ruochen, Xie, Shaoyuan, et al. · arXiv (Cornell University) · 1
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State-Wise Safe Reinforcement Learning With Pixel Observations
2023 · Zhan, Simon Sinong, Wang, Yixuan, et al. · arXiv (Cornell University) · 1
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Safety-Assured Design and Adaptation of Connected and Autonomous Vehicles
2023 · Xin Chen, Jiameng Fan, et al. · Springer eBooks · 1
CounterRoute: Self-Routed Reasoning via Hierarchical Counterfactual Credit Assignment
2026 · Jiao, Ruochen, Fetahu, Besnik, et al. · arXiv (Cornell University)
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MANIGUARD: A Benchmark and Data Suite for Specification-Grounded Safety Evaluation and Improvement of Robotic Manipulation
2026 · Peng, Yiyan, Wang, Philip, et al. · arXiv (Cornell University)
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CreFlow: Corrective Reflow for Sparse-Reward Embodied Video Diffusion RL
2026 · Ni, Zhenyang, Li, Yijiang, et al. · arXiv (Cornell University)
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SFT Doesn't Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs
2025 · Lin, Jiacheng, Wang, Zhongruo, et al. · arXiv (Cornell University)
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Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning
2025 · Zhang, Yimeng, Wang, Tian, et al. · arXiv (Cornell University)
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Works count: 30
Citation count: 196
H-index: 10
I10-index: 11
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