Publications

Note: * indicates co-first author, † indicates corresponding author.

LLM-TP: Enhancing Trajectory Prediction for Autonomous Driving with LLMs and Chain-of-Thought Prompting
Haicheng Liao*, Hanlin Kong*, Chengyue Wang and Zhenning Li† et al.
Transportation Research Part C (SCI Q1, IF=7.6) Under Review [link]

SA-TP: A Safety-aware Trajectory Prediction Model for Connected and Autonomous Driving
Haicheng Liao*, Hanlin Kong*, Zhenning Li† and Chengzhong Xu†
IEEE T-RO (SCI Q1, IF=9.4) R&R [link]

Achieving Human-Like Trajectory Prediction For Autonomous Vehicles: A Behavior-Aware Approach
Haicheng Liao*, Hanlin Kong*, Huanming Shen, Zhenning Li† and Shengbo Eben Li et al.
TRB 2024 (Oral Presentation, 3%) Accepted [link]

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving
Haicheng Liao*, Xuelin Li*, Yongkang Li, Hanlin Kong and Chengyue Wang et al.
IJCAI 2024 (CCF A) Accepted [link]

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments
Haicheng Liao, Zhenning Li†, Chengyue Wang, Bonan Wang and Hanlin Kong et al.
IJCAI 2024 (CCF A) Accepted [link]

Addressing Corner Cases in Autonomous Driving Trajectory Prediction: A Hybrid Approach using Mixture of Experts and LLMs
Haicheng Liao*, Junxian Yang*, Hanlin Kong, Zhengxing Lan and Chengyue Wang et al.
AAAI 2025 (CCF A) Under Review [link]