Jingxuan Yang#, Weichao Xu#, Yuchen Shi, Yi Zhang, Shuo Feng, Huaxin Pei*, “Intelligent Resilience Testing for Decision-Making Agents with Dual-Mode Surrogate Adaptation”, submitted to IEEE Transactions on Automation Science and Engineering, under review, 10-Dec-2025. [arXiv]
Jingxuan Yang, Zihang Wang, Daihan Wang, Yi Zhang, Qiujing Lu, Shuo Feng*, “Adaptive Safety Performance Testing for Autonomous Vehicles with Adaptive Importance Sampling”, Transportation Research Part C: Emerging Technologies, vol. 179, 2025, 105256, doi: 10.1016/j.trc.2025.105256. [SSRN] [pdf] [code]
Jingxuan Yang, Ruoxuan Bai, Haoyuan Ji, Yi Zhang, Jianming Hu, Shuo Feng*, “Adaptive Testing Environment Generation for Connected and Automated Vehicles with Dense Reinforcement Learning”, IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 4, pp. 5135-5145, 2025, doi: 10.1109/TITS.2025.3535866. [arXiv] [pdf] [code]
Jingxuan Yang, Haowei Sun, Honglin He, Yi Zhang, Henry X. Liu, Shuo Feng*, “Adaptive Safety Evaluation for Connected and Automated Vehicles with Sparse Control Variates”, IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 2, pp. 1761-1773, 2023, doi: 10.1109/TITS.2023.3317078. [arXiv] [pdf] [code]
Kun Ren, Jingxuan Yang, Qiujing Lu, Yi Zhang, Jianming Hu*, Shuo Feng*, “Intelligent Testing Environment Generation for Autonomous Vehicles with Implicit Distributions of Traffic Behaviors”, Transportation Research Part C: Emerging Technologies, vol. 174, 2025, 105106, doi: 10.1016/j.trc.2025.105106. [SSRN] [pdf]
Zewei Dong*, Jingxuan Yang, Guangzhen Su, Yaze Guo, Ming Lei, Xiaoqin Liu, Yuchen Shi, “Dynamic Evaluation of Learning Internalization Capability in Unmanned Ground Vehicles via Time Series Analysis”, Drones, vol. 10, no. 1, pp. 1-23, 2026, doi: 10.3390/drones10010044. [pdf]
Zewei Dong*, Jingxuan Yang, Runze Yuan, Guangzhen Su, Ming Lei, “A Game-Theoretic Kendall’s Coefficient Weighting Framework for Evaluating Autonomous Path Planning Intelligence”, Automation, vol. 6, no. 4, pp. 1-24, 2025, doi: 10.3390/automation6040085. [pdf]
Shu Li, Honglin He, Jingxuan Yang, Jianming Hu, Yi Zhang, Shuo Feng*, “Few-Shot Testing of Autonomous Vehicles with Scenario Similarity Learning”, IEEE Transactions on Intelligent Transportation Systems, vol. 26, no. 12, pp. 22804-22817, 2025, doi: 10.1109/TITS.2025.3622257. [arXiv] [pdf]
Kun Ren, Yizhou Xu, Jingxuan Yang, Yi Zhang, Jianming Hu*, Shuo Feng*, “Intelligent Safety Testing of Autonomous Vehicles with Implicit Traffic Distributions by Dense Reinforcement Learning”, submitted to IEEE Transactions on Intelligent Transportation Systems, under review, 16-Aug-2025.
Weichao Xu, Huaxin Pei*, Jingxuan Yang, Yuchen Shi, Yi Zhang, Qianchuan Zhao, “Exploring Critical Testing Scenarios for Decision-Making Policies: An LLM Approach”, submitted to IEEE Transactions on Software Engineering, under review, 14-Jan-2025. [arXiv]
Shuo Feng, Haojie Zhu, Haowei Sun, Xintao Yan, Linxuan He, Jingxuan Yang, Guangzhen Su, Boqi Li, Shu Li, Ling Wang, Shengyin Shen, Henry X. Liu*, “Breaking through Safety Performance Stagnation in Autonomous Vehicles with Dense Learning”, Nature Communications, 2026. [code]
Jingxuan Yang, Honglin He, Yi Zhang, Shuo Feng*, Henry X. Liu, “Adaptive Testing for Connected and Automated Vehicles with Sparse Control Variates in Overtaking Scenarios”, IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022, pp. 2791-2797, doi: 10.1109/ITSC55140.2022.9922583. [arXiv] [pdf] [ppt] [video]
Ruoxuan Bai, Jingxuan Yang, Weiduo Gong, Yi Zhang, Qiujing Lu, Shuo Feng*, “Accurately Predicting Probabilities of Safety-Critical Rare Events for Intelligent Systems”, IEEE International Conference on Automation Science and Engineering (CASE), 2024, pp. 3243-3249, doi: 10.1109/CASE59546.2024.10711532. [arXiv] [pdf]
Shu Li, Jingxuan Yang, Honglin He, Yi Zhang, Jianming Hu, Shuo Feng*, “Few-Shot Scenario Testing for Autonomous Vehicles Based on Neighborhood Coverage and Similarity”, IEEE Intelligent Vehicles Symposium (IV), 2024, pp. 620-626, doi: 10.1109/IV55156.2024.10588417. [arXiv] [pdf]
Honglin He, Shu Li, Jingxuan Yang, Linxuan He, Qiujing Lu, Yi Zhang, Shuo Feng*, “KnowMoformer: Knowledge-Conditioned Motion Transformer for Controllable Traffic Scenario Simulation”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Data-Driven Autonomous Driving Simulation, 2024. [pdf] [poster]
Ye Tian, Huaxin Pei, Jingxuan Yang, Jianming Hu, Yi Zhang*, Xin Pei, “An Improved Model of Driving Risk Field for Connected and Automated Vehicles”, IEEE International Conference on Intelligent Transportation Systems (ITSC), 2021, pp. 285-291, doi: 10.1109/ITSC48978.2021.9565069. [pdf]
Zewei Dong*, Xiaoqin Liu, Jingxuan Yang, Xun Yan, Shuyan Lei, Yaze Guo, Ming Lei, “Evaluation of Learning Internalization Capabilities of AVs Based on Time-Series Correlation Analysis”, COTA International Conference of Transportation Professionals (CICTP), 2026.
期刊审稿
IEEE Transactions on Intelligent Transportation Systems (T-ITS)