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DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles Journal article
Wang, Chengyue, Liao, Haicheng, Zhu, Kaiqun, Zhang, Guohui, Li, Zhenning. DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles[J]. Information Fusion, 2025, 118, 102924.
Authors:  Wang, Chengyue;  Liao, Haicheng;  Zhu, Kaiqun;  Zhang, Guohui;  Li, Zhenning
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:14.7/16.1 | Submit date：2025/01/22
Autonomous Driving  Data Fusion  Dynamics-based Model  Learning-based Model  Trajectory Prediction  
GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models Journal article
Liao, Haicheng, Shen, Huanming, Li, Zhenning, Wang, Chengyue, Li, Guofa, Bie, Yiming, Xu, Chengzhong. GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models[J]. Communications in Transportation Research, 2024, 4, 100116.
Authors:  Liao, Haicheng;  Shen, Huanming;  Li, Zhenning;  Wang, Chengyue;  Li, Guofa; et al.
Favorite | TC[WOS]:12 TC[Scopus]:20  IF:12.5/12.5 | Submit date：2024/03/05
Autonomous Driving  Visual Grounding  Cross-modal Attention  Large Language Models  Human-machine Interaction  
When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models Conference paper
Liao, Haicheng, Li, Yongkang, Wang, Chengyue, Guan, Yanchen, Tam, Kahou, Tian, Chunlin, Li, Li, Xu, Chengzhong, Li, Zhenning. When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models[C]:Association for Computing Machinery, Inc, 2024, 8-17.
Authors:  Liao, Haicheng;  Li, Yongkang;  Wang, Chengyue;  Guan, Yanchen;  Tam, Kahou; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/12/05
Autonomous Driving  Dynamic Object Attention  Human-ai Interaction  Large Language Models  Traffic Accident Anticipation  
CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions Conference paper
Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li. CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions[C], New York, NY, USA:Association for Computing Machinery, Inc, 2024, 11041-11050.
Authors:  Haicheng Liao;  Haoyu Sun;  Huanming Shen;  Chengyue Wang;  Kahou Tam; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/16
Autonomous Driving  Dynamic Visual Fusion  Fast Fourier Transform  Spatial-temporal Analysis  Traffic Accident Anticipation  
Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments Conference paper
Haicheng Liao, Shangqian Liu, Yongkang Li, Zhenning Li, Chengyue Wang, Yunjian Li, Shengbo Eben Li, Chengzhong Xu. Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 14212-14219.
Authors:  Haicheng Liao;  Shangqian Liu;  Yongkang Li;  Zhenning Li;  Chengyue Wang; et al.
Favorite | TC[Scopus]:1 | Submit date：2024/09/19
Adaptation Models  Visualization  Time Series Analysis  Predictive Models  Cognition  Trajectory  Convolutional Neural Networks  
Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction Conference paper
Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Chunlin Tian, Kahou Tam, Yuming Huang, Zilin Bian, Kaiqun Zhu, Guofa Li, Ziyuan Pu, Jia Hu, Zhiyong Cui, Chengzhong Xu. Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction[C], 2024.
Authors:  Haicheng Liao;  Yongkang Li;  Zhenning Li;  Chengyue Wang;  Chunlin Tian; et al.
Favorite |  | Submit date：2024/09/16
When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models Conference paper
Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, Kahou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li. When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models[C], 2024.
Authors:  Haicheng Liao;  Haoyu Sun;  Huanming Shen;  Chengyue Wang;  Kahou Tam; et al.
Favorite |  | Submit date：2024/09/16
World Models for Autonomous Driving: An Initial Survey Journal article
Guan, Yanchen, Liao, Haicheng, Li, Zhenning, Hu, Jia, Yuan, Runze, Li, Yunjian, Zhang, Guohui, Xu, Chengzhong. World Models for Autonomous Driving: An Initial Survey[J]. IEEE Transactions on Intelligent Vehicles, 2024.
Authors:  Guan, Yanchen;  Liao, Haicheng;  Li, Zhenning;  Hu, Jia;  Yuan, Runze; et al.
Favorite | TC[Scopus]:7  IF:14.0/11.2 | Submit date：2024/06/05
World Model  Autonomous Driving  Foundational Model  Model-based Reinforcement Learning  
A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment Conference paper
Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hailin Kong, Yanchen Guan, Guofa Li, Zhiyong Cui. A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment[C], 2024.
Authors:  Haicheng Liao;  Zhenning Li;  Chengyue Wang;  Bonan Wang;  Hailin Kong; et al.
Favorite |  | Submit date：2024/09/19
MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving Conference paper
Haicheng Liao, Zhenning Li, Chengyue Wang, Huanmin Shen, Dongping Liao, Bonan Wang, Guofa Li, Chengzhong Xu. MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving[C]:International Joint Conferences on Artificial Intelligence, 2024, 5945 - 5953.
Authors:  Haicheng Liao;  Zhenning Li;  Chengyue Wang;  Huanmin Shen;  Dongping Liao; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/16