| Dense reinforcement learning for safety validation of autonomous vehicles S Feng, H Sun, X Yan, H Zhu, Z Zou, S Shen, HX Liu Nature 615 (7953), 620-627, 2023 | 637 | 2023 |
| Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment S Feng, X Yan, H Sun, Y Feng, HX Liu Nature communications 12 (1), 748, 2021 | 514 | 2021 |
| Testing scenario library generation for connected and automated vehicles, part II: Case studies S Feng, Y Feng, H Sun, S Bao, Y Zhang, HX Liu IEEE Transactions on Intelligent Transportation Systems 22 (9), 5635-5647, 2020 | 166 | 2020 |
| Learning naturalistic driving environment with statistical realism X Yan, Z Zou, S Feng, H Zhu, H Sun, HX Liu Nature communications 14 (1), 2037, 2023 | 124 | 2023 |
| Testing scenario library generation for connected and automated vehicles: An adaptive framework S Feng, Y Feng, H Sun, Y Zhang, HX Liu IEEE Transactions on Intelligent Transportation Systems 23 (2), 1213-1222, 2020 | 120 | 2020 |
| Tube-based discrete controller design for vehicle platoons subject to disturbances and saturation constraints S Feng, H Sun, Y Zhang, J Zheng, HX Liu, L Li IEEE Transactions on Control Systems Technology 28 (3), 1066-1073, 2019 | 117 | 2019 |
| Corner case generation and analysis for safety assessment of autonomous vehicles H Sun, S Feng, X Yan, HX Liu Transportation research record 2675 (11), 587-600, 2021 | 79 | 2021 |
| Distributionally consistent simulation of naturalistic driving environment for autonomous vehicle testing X Yan, S Feng, H Sun, HX Liu arXiv preprint arXiv:2101.02828, 2021 | 58 | 2021 |
| A better understanding of long-range temporal dependence of traffic flow time series S Feng, X Wang, H Sun, Y Zhang, L Li Physica A: Statistical Mechanics and its Applications 492, 639-650, 2018 | 43 | 2018 |
| Adaptive safety evaluation for connected and automated vehicles with sparse control variates J Yang, H Sun, H He, Y Zhang, HX Liu, S Feng IEEE Transactions on Intelligent Transportation Systems 25 (2), 1761-1773, 2023 | 19 | 2023 |
| Terasim: Uncovering unknown unsafe events for autonomous vehicles through generative simulation H Sun, X Yan, Z Qiao, H Zhu, Y Sun, J Wang, S Shen, D Hogue, R Ananta, ... arXiv preprint arXiv:2503.03629, 2025 | 5 | 2025 |
| TeraSim-World: Worldwide Safety-Critical Data Synthesis for End-to-End Autonomous Driving J Wang, H Sun, X Yan, S Feng, J Gao, HX Liu arXiv preprint arXiv:2509.13164, 2025 | 4 | 2025 |
| RADE: Learning Risk-Adjustable Driving Environment via Multi-Agent Conditional Diffusion J Wang, X Yan, Y Mu, H Sun, Z Cao, HX Liu arXiv preprint arXiv:2505.03178, 2025 | 2 | 2025 |
| Testing scenario library generation for connected and automated vehicle evaluation S Feng, H Sun, Y Feng, C Yu, S Bao, A Misra, Y Zhang, HX Liu Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | 2 | 2019 |
| System and method for simulating autonomous vehicle testing environments X Liu, S Feng, H Sun, X Yan, H Zhu, Z Zou, S Shen US Patent 12,415,544, 2025 | 1 | 2025 |
| Tera City: Fast, Realistic, and City-scale Traffic Simulation for Autonomous Vehicle Safety Performance Evaluation H Sun | 1 | 2024 |
| Distributionally Consistent Simulation of Naturalistic Driving Environment for Autonomous Vehicle Testing X Yan, S Feng, H Sun, HX Liu IEEE Transactions on Intelligent Transportation Systems, 2025 | | 2025 |
| Behavioral Safety Assessment towards Large-scale Deployment of Autonomous Vehicles HX Liu, X Yan, H Sun, T Wang, Z Qiao, H Zhu, S Shen, S Feng, G Stevens, ... arXiv preprint arXiv:2505.16214, 2025 | | 2025 |
| Testing Multiscale Signal-Vehicle Coupled Control with Connected and Automated Vehicles through remote access of Mcity 2.0 S Naderian, H Sun, H Zhu, Q Guo, Z Qiao, R Patnaik Ananta, S Shen, ... Available at SSRN 5202811, 2024 | | 2024 |
Henry LiuProfessor of Civil and Environmental Engineering, University of Michigan, Ann ArborVerified email at umich.edu
