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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  
Secure Observer-Based Collision-Free Control for Autonomous Vehicles Under Non-Gaussian Noises Journal article
Zhu, Kaiqun, Wang, Zidong, Li, Zhenning, Xu, Cheng Zhong. Secure Observer-Based Collision-Free Control for Autonomous Vehicles Under Non-Gaussian Noises[J]. IEEE Transactions on Industrial Informatics, 2024.
Authors:  Zhu, Kaiqun;  Wang, Zidong;  Li, Zhenning;  Xu, Cheng Zhong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:11.7/11.4 | Submit date：2024/12/26
Autonomous Vehicle  Chance Constraint  Encryption Mechanism  Tracking Control  Uncertainty  
City metro network expansion based on multi-objective reinforcement learning Journal article
Zhang, Liqing, U, Leong Hou, Ni, Shaoquan, Chen, Dingjun, Li, Zhenning, Wang, Wenxian, Xian, Weizhi. City metro network expansion based on multi-objective reinforcement learning[J]. Transportation Research Part C: Emerging Technologies, 2024, 169, 104880.
Authors:  Zhang, Liqing;  U, Leong Hou;  Ni, Shaoquan;  Chen, Dingjun;  Li, Zhenning; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.6/9.6 | Submit date：2024/11/05
Actor-critic Network  Metro Expansion  Reinforcement Learning  
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  
CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving Conference paper
Haicherng Liao, Xuelin Li, Yongkang Li, Hailin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, Kahou Tam, Zhenning Li. CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving[C]:International Joint Conferences on Artificial Intelligence, 2024, 7331-7339.
Authors:  Haicherng Liao;  Xuelin Li;  Yongkang Li;  Hailin Kong;  Chengyue Wang; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/16
Robotics  Planning And Scheduling  
Hi-SCL: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning Journal article
Lan, Zhengxing, Ren, Yilong, Yu, Haiyang, Liu, Lingshan, Li, Zhenning, Wang, Yinhai, Cui, Zhiyong. Hi-SCL: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning[J]. Transportation Research Part C: Emerging Technologies, 2024, 165, 104735.
Authors:  Lan, Zhengxing;  Ren, Yilong;  Yu, Haiyang;  Liu, Lingshan;  Li, Zhenning; et al.
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:7.6/9.6 | Submit date：2024/08/05
Contrastive Learning  Long-tailed Challenge  Trajectory Prediction  Wave Representation  
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