GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models. - Haicheng Liao; Huanming Shen; Zhenning Li; Chengyue Wang 001; Guofa Li; Yiming Bie; Chengzhong Xu 001 (CoRR, 2023)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. - Haicheng Liao; Yongkang Li 003; Zhenning Li; Chengyue Wang 001; Guofa Li; Chunlin Tian; Zilin Bian; Kaiqun Zhu; Zhiyong Cui; Jia Hu 003 (ECAI, 2024)

Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments. - Haicheng Liao; Shangqian Liu; Yongkang Li 003; Zhenning Li; Chengyue Wang 001; Yunjian Li; Shengbo Eben Li; Chengzhong Xu 001 (ICRA, 2024)

CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. - Haicheng Liao; Xuelin Li; Yongkang Li 003; Hanlin Kong; Chengyue Wang 001; Bonan Wang; Yanchen Guan; KaHou Tam; Zhenning Li (IJCAI, 2024)

MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. - Haicheng Liao; Zhenning Li; Chengyue Wang 001; Huanming Shen; Dongping Liao; Bonan Wang; Guofa Li; Chengzhong Xu 001 (IJCAI, 2024)

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments. - Haicheng Liao; Zhenning Li; Chengyue Wang 001; Bonan Wang; Hanlin Kong; Yanchen Guan; Guofa Li; Zhiyong Cui (IJCAI, 2024)

Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation. - Haicheng Liao; Chengyue Wang 001; Zhenning Li; Yongkang Li 003; Bonan Wang; Guofa Li; Chengzhong Xu 001 (IJCAI, 2024)

When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Yanchen Guan; Kahou Tam; Chunlin Tian; Li Li 064; Chengzhong Xu 001; Zhenning Li (ACM Multimedia, 2024)

CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. - Haicheng Liao; Haoyu Sun; Huanming Shen; Chengyue Wang 001; Chunlin Tian; KaHou Tam; Li Li 064; Chengzhong Xu 001; Zhenning Li (ACM Multimedia, 2024)

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment. - Haicheng Liao; Zhenning Li; Chengyue Wang 001; Bonan Wang; Hanlin Kong; Yanchen Guan; Guofa Li; Zhiyong Cui; Chengzhong Xu 001 (CoRR, 2024)

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. - Haicheng Liao; Xuelin Li; Yongkang Li 003; Hanlin Kong; Chengyue Wang 001; Bonan Wang; Yanchen Guan; KaHou Tam; Zhenning Li; Chengzhong Xu 001 (CoRR, 2024)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. - Haicheng Liao; Yongkang Li 003; Zhenning Li; Chengyue Wang 001; Chunlin Tian; Yuming Huang; Zilin Bian; Kaiqun Zhu; Guofa Li; Ziyuan Pu; Jia Hu 003; Zhiyong Cui; et al. (CoRR, 2024)

When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Yanchen Guan; KaHou Tam; Chunlin Tian; Li Li 064; Chengzhong Xu 001; Zhenning Li (CoRR, 2024)

Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Songning Lai; Zhenning Li; Zilin Bian; Jaeyoung Lee 001; Zhiyong Cui; Guohui Zhang 001; ChengZhong Xu 001 (CoRR, 2024)

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving. - Haicheng Liao; Yongkang Li 003; Zhenning Li; Chengyue Wang 001; Zhiyong Cui; Shengbo Eben Li; Chengzhong Xu 001 (IEEE Trans. Intell. Veh., 2024)

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving. - Chengyue Wang 001; Haicheng Liao; Bonan Wang; Yanchen Guan; Bin Rao; Ziyuan Pu; Zhiyong Cui; Cheng-Zhong Xu 001; Zhenning Li (AAAI, 2025)

DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles. - Chengyue Wang 001; Haicheng Liao; Kaiqun Zhu; Guohui Zhang 001; Zhenning Li (Inf. Fusion, 2025)

LATTE: A Real-time Lightweight Attention-based Traffic Accident Anticipation Engine. - Jiaxun Zhang; Yanchen Guan; Chengyue Wang 001; Haicheng Liao; Guohui Zhang 001; Zhenning Li (Inf. Fusion, 2025)

CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting. - Haicheng Liao; Hanlin Kong; Bonan Wang; Chengyue Wang 001; Wang Ye; Zhengbing He; Cheng-Zhong Xu 001; Zhenning Li (CoRR, 2025)

SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles. - Haicheng Liao; Hanlin Kong; Bin Rao; Bonan Wang; Chengyue Wang 001; Guyang Yu; Yuming Huang; Ruru Tang; Cheng-Zhong Xu 001; Zhenning Li (CoRR, 2025)

LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine. - Jiaxun Zhang; Yanchen Guan; Chengyue Wang 001; Haicheng Liao; Guohui Zhang 001; Zhenning Li (CoRR, 2025)

WAKE: Towards Robust and Physically Feasible Trajectory Prediction for Autonomous Vehicles With WAvelet and KinEmatics Synergy. - Chengyue Wang 001; Haicheng Liao; Zhenning Li; Chengzhong Xu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction. - Bonan Wang; Haicheng Liao; Chengyue Wang 001; Bin Rao; Yanchen Guan; Guyang Yu; Jiaxun Zhang; Songning Lai; Chengzhong Xu 001; Zhenning Li (CoRR, 2025)

Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving With Cognitive Insights. - Haicheng Liao; Chengyue Wang 001; Kaiqun Zhu; Yilong Ren; Bolin Gao; Shengbo Eben Li; Chengzhong Xu 001; Zhenning Li (IEEE Trans. Intell. Transp. Syst., 2025)

AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction. - Bin Rao; Haicheng Liao; Yanchen Guan; Chengyue Wang 001; Bonan Wang; Jiaxun Zhang; Zhenning Li (CoRR, 2025)

Eyes on the Road, Mind Beyond Vision: Context-Aware Multi-modal Enhanced Risk Anticipation. - Jiaxun Zhang; Haicheng Liao; Yumu Xie; Chengyue Wang 001; Yanchen Guan; Bin Rao; Zhenning Li (CoRR, 2025)

Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation. - Yanchen Guan; Haicheng Liao; Chengyue Wang 001; Bonan Wang; Jiaxun Zhang; Jia Hu 003; Zhenning Li (CoRR, 2025)

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving. - Yanchen Guan; Haicheng Liao; Chengyue Wang 001; Xingcheng Liu; Jiaxun Zhang; Zhenning Li (CoRR, 2025)