GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models H Liao, H Shen, Z Li, C Wang, G Li, Y Bie, C Xu Communications in Transportation Research 4, 100116, 2024 | 17 | 2024 |
BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving H Liao, Z Li, H Shen, W Zeng, D Liao, Guofa, SE Li, C Xu Proceedings of the AAAI Conference on Artificial Intelligence 38 (9), 10332 …, 2024 | 12 | 2024 |
Mitigating the impact of outliers in traffic crash analysis: A robust Bayesian regression approach with application to tunnel crash data Z Li, H Liao, R Tang, G Li, Y Li, C Xu Accident Analysis & Prevention 185, 107019, 2023 | 9 | 2023 |
A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving H Liao, Y Li, Z Li, C Wang, Z Cui, SE Li, C Xu IEEE Transactions on Intelligent Vehicles, 2024 | 8 | 2024 |
Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments H Liao, S Liu, Y Li, Z Li, C Wang, B Wang, Y Guan, C Xu IEEE International Conference on Robotics and Automation (ICRA), 2024 | 7 | 2024 |
World Models for Autonomous Driving: An Initial Survey Y Guan, H Liao, Z Li, G Zhang, C Xu IEEE Transactions on Intelligent Vehicles, 2024 | 6 | 2024 |
A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment H Liao, Z Li, C Wang, B Wang, H Kong, Y Guan, G Li, Z Cui, C Xu International Joint Conference On Artificial Intelligence (IJCAI 2024), 2024 | 3 | 2024 |
Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation H Liao, C Wang, Z Li, Y Li, B Wang, G Li, C Xu International Joint Conference On Artificial Intelligence (IJCAI 2024), 2024 | 2 | 2024 |
Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving H Liao, X Li, Y Li, H Kong, C Wang, B Wang, Y Guan, KH Tam, Z Li, C Xu International Joint Conference On Artificial Intelligence (IJCAI 2024), 2024 | 1 | 2024 |
Efficient and robust estimation of single-vehicle crash severity: A mixed logit model with heterogeneity in means and variances Z Li, C Wang, H Liao, G Li, C Xu Accident Analysis & Prevention 196, 107446, 2024 | 1 | 2024 |
When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models H Liao, Y Li, C Wang, Y Guan, KH Tam, C Tian, L Li, C Xu, Z Li ACM International Conference on Multimedia (ACM MM) 2024, 2024 | | 2024 |
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction H Liao, Y Li, Z Li, C Wang, C Tian, Y Huang, Z Bian, K Zhu, G Li, Z Pu, ... European Conference on Artificial Intelligence (ECAI 2024), 2024 | | 2024 |
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving H Liao, Z Li, C Wang, H Shen, B Wang, D Liao, G Li, C Xu International Joint Conference On Artificial Intelligence (IJCAI 2024), 2024 | | 2024 |
Steering the Future: Redefining Intelligent Transportation Systems with Foundation Models Z Li, Z Cui, H Liao, J Ash, G Zhang, C Xu, Y Wang CHAIN 1 (1), 46-53, 2024 | | 2024 |
An Efficient Bayesian Robit Model for Traffic Safety Modeling Z Li, H Liao, R Tang, G Li, Y Bie, C Xu CICTP 2023, 1592-1604, 2023 | | 2023 |