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[TRO'25]
SA‑TP2: A Safety-Aware Trajectory Prediction and Planning Model for Autonomous Driving.
Haicheng Liao, Hanlin Kong, Zhenning Li, Chengzhong Xu
IEEE Transactions on Robotics, 2025
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[TS'25]
Towards Human-Like Trajectory Prediction: A Behavior-Centric Approach.
Haicheng Liao, Zhenning Li†, Keqiang Li, Chengzhong Xu
Transportation Science, 2025
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[AI Open'25]
Safecast: Risk-responsive motion forecasting for autonomous vehicles.
Haicheng Liao, Hanlin Kong, Zhenning Li, Chengzhong Xu
AI Open, 2025
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[TITS'25]
Chain-of-Thought Guided Multimodal Large Language Models for Scene-Aware Accident Anticipation in Autonomous Driving.
Haicheng Liao, Bin Rao, Haoyu Sun, Chengyue Wang, Qing Chang, Shengbo Eben Li, Chengzhong Xu, Zhenning Li
IEEE Transactions on Intelligent Transportation Systems, 2025
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[TAI'25] CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting.
Haicheng Liao, Hanlin Kong, Bonan Wang, Chengyue Wang, Ye Wang, Zhengbing He, Chengzhong Xu, Zhenning Li
IEEE Transactions on Artificial Intelligence, 2025
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[CICTP'25] Improving Visual Grounding for Autonomous Driving with Large Language Models.
Haicheng Liao, Huanming Shen, Bonan Wang, Chengyue Wang, Bin Rao, Hao Yu, Chengzhong Xu, Zhenning Li
COTA International Conference of Transportation Professionals, 2025 Best Paper Award
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[CE'25] World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving.
Yanchen Guan, Haicheng Liao, Chengyue Wang, Xingchen Liu, Jiaxun Zhang, Zhenning Li
Communications Engineering, 2025 [Nature Portfolio]
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[TITS'25] Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving with Cognitive Insights.
Haicheng Liao, Chengyue Wang, Kaiqun Zhu, Yilong Ren, Bolin Gao, Shengbo Eben Li, Chengzhong Xu, Zhenning Li
IEEE Transactions on Intelligent Transportation Systems, 2025
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[IJCAI'25] Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction.
Bonan Wang*, Haicheng Liao*, Chengyue Wang, Yanchen Guan, Bin Rao, Yuyang Gu, Jiaxun Zhang, Songning Lai, Chengzhong Xu, Zhenning Li
International Joint Conference on Artificial Intelligence, 2025
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[COMMTR'25] Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation.
Yanchen Guan, Haicheng Liao, Chengyue Wang, Bonan Wang, Jiaxun Zhang, Jia Hu, Zhenning Li
Communications in Transportation Research, 2025
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[TPAMI'25] WAKE: Towards Robust and Physically Feasible Trajectory Prediction for Autonomous Vehicles with WAvelet and KinEmatics Synergy.
Chengyue Wang*, Haicheng Liao*, Zhenning Li, Chengzhong Xu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
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[ICCV'25] AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction.
Bin Rao*, Haicheng Liao*, Yanchen Guan, Chengyue Wang, Yanchen Guan, Bonan Wang, Jiaxun Zhang, Zhenning Li
International Conference on Computer Vision, 2025
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[AAAI'25] NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving.
Chengyue Wang*, Haicheng Liao*, Bonan Wang, Yanchen Guan, Bin Rao, Ziyuan Pu, Zhiyong Cui, Chengzhong Xu, Zhenning Li
Annual AAAI Conference on Artificial Intelligence, 2025 Oral Presentation (600/12957 ≈ 4.6%)
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[Fusion'25] DEMO: A Dynamics-Enhanced Learning Model for Multi-Horizon Trajectory Prediction in Autonomous Vehicles.
Chengyue Wang*, Haicheng Liao*, Kaiqun Zhu, Guohui Zhang, Zhenning Li
Information Fusion, 2025
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[Fusion'25] LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine.
Jiaxun Zhang, Yanchen Guan, Chengyue Wang, Haicheng Liao, Guohui Zhang, Zhenning Li
Information Fusion, 2025
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[MM'25] Eyes on the Road, Mind Beyond Vision: Context-Aware Multi-modal Enhanced Risk Anticipation.
Jiaxun Zhang, Haicheng Liao, Yumu Xie, Chengyue Wang, Yanchen Guan, Bin Rao, Zhenning Li
ACM International Conference on Multimedia, 2025
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[Arxiv'25] A survey on federated fine-tuning of large language models.
Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, Kahou Tam, Zhanting Zhou, Haicheng Liao, Zhijiang Guo, Li Li, Chengzhong Xu
Arxiv, 2025
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[AAAI'24] BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving.
Haicheng Liao*, Zhenning Li, Huanming Shen, Wenxuan Zeng, Dongping Liao, Guofa, Shengbo Eben Li, Chengzhong Xu
Annual AAAI Conference on Artificial Intelligence, 2024
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[MM'24] When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models.
Haicheng Liao, Yongkang Li, Chengyue Wang, Yanchen Guan, KaHou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
ACM International Conference on Multimedia, 2024 Oral Presentation (174/4385 ≈ 3.9%)
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[MM'24] CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions.
Haicheng Liao, Haoyu Sun, Huanming Shen, Chengyue Wang, KaHou Tam, Chunlin Tian, Li Li, Chengzhong Xu, Zhenning Li
ACM International Conference on Multimedia, 2024
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[IJCAI'24] A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments.
Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Hanlin Kong, Yanchen Guan, Zhiyong Cui, Chengzhong Xu
International Joint Conference on Artificial Intelligence, 2024
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[IJCAI'24] MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving.
Haicheng Liao, Zhenning Li, Chengyue Wang, Bonan Wang, Huanming Shen, Bonan Wang, Guofa Li, Chengzhong Xu
International Joint Conference on Artificial Intelligence, 2024
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[IJCAI'24] Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation.
Haicheng Liao, Chengyue Wang, Zhenning Li, Yongkang Li, Bonan Wang, Guofa Li, Chengzhong Xu
International Joint Conference on Artificial Intelligence, 2024
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[IJCAI'24] CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving.
Haicheng Liao, Xuelin Li, Yongkang Li, Hanlin Kong, Chengyue Wang, Bonan Wang, Yanchen Guan, KaHou Tam, Zhenning Li
International Joint Conference on Artificial Intelligence, 2024
Ranked #1 SSRN’s Top Downloads Papers (60 Days) in Robotics!
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[ECAI'24] Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction.
Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Guofa Li, Chunlin Tian, Zilin Bian, Kaiqun Zhu, Zhiyong Cui, Jia Hu, Chengzhong Xu
European Conference on Artificial Intelligence, 2024
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[ICRA'24] Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments.
Haicheng Liao, Shangqian Liu, Yongkang Li, Zhenning Li, Chengyue Wang, Bonan Wang, Yanchen Guan, Chengzhong Xu
IEEE International Conference on Robotics & Automation, 2024
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[TRC-30] Steering the future: Redefining intelligent transportation systems with foundation models.
Haicheng Liao, Yongkang Li, Yanchen Guan, Zhenning Li, Chengyue Wang, Zilin Bian, Ziyuan Pu, Jia Hu, Zhiyong Cui
Chain, 2024
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[TRC-30] Towards Human-like Trajectory Prediction for Autonomous Driving: A Cognitive-inspired Lightweight Model.
Haicheng Liao, Yongkang Li, Yanchen Guan, Zhenning Li, Chengyue Wang, Zilin Bian, Ziyuan Pu, Jia Hu, Zhiyong Cui
The 30th Anniversary of Transportation Research Part C, 2024 Oral Presentation
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[TRB'24] Achieving Human-Like Trajectory Prediction for Autonomous Vehicles: A Behavior-Aware Approach.
Haicheng Liao, Hanlin Kong, Huanming Shen, Zhenning Li, Ruru Tang, Ziyuan Pu, Shengbo Li, Chengzhong Xu
The 103th Transportation Research Board Annual Meeting, 2024 Oral Presentation, Oral Rate ≈ 3.6%
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[TRB'24] Lightweight Human Observation-inspired Trajectory Prediction for Autonomous Driving.
Yongkang Li*, Haicheng Liao*, Shangqian Liu, Zhenning Li, Wenyu Li, Kai Zhang, Shengbo Li, Chengzhong Xu
The 103th Transportation Research Board Annual Meeting, 2024
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[TRC-30] Steering the future: Redefining intelligent transportation systems with foundation models.
Haicheng Liao, Yongkang Li, Yanchen Guan, Zhenning Li, Chengyue Wang, Zilin Bian, Ziyuan Pu, Jia Hu, Zhiyong Cui
Chain, 2024
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[TIV'24] A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving.
Haicheng Liao, Yongkang Li, Zhenning Li, Chengyue Wang, Zhiyong Cui, Shengbo Eben Li, Chengzhong Xu
IEEE Transactions on Intelligent Vehicles, 2024
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[COMMTR'24] GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models.
Haicheng Liao, Huanming Shen, Zhenning Li, Chengyue Wang, Guofa Li, Yiming Bie, Chengzhong Xu
Communications in Transportation Research, 2024 The Most Cited Papers in COMMTR, 2024!
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[TIV'24] World Models for Autonomous Driving: An Initial Survey.
Yanchen Guan*, Haicheng Liao*, Zhenning Li, Guohui Zhang, Chengzhong Xu
IEEE Transactions on Intelligent Vehicles, 2024
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[AAP'24] Mitigating the impact of outliers in traffic crash analysis: A robust Bayesian regression approach with application to tunnel crash data.
Zhenning Li, Chengyue Wang, Haicheng Liao, Guofa Li, Chengzhong Xu
Accident Analysis & Prevention, 2024
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[Arxiv'24] CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models.
Songning Lai, Jiayu Yang, Yu Huang, Lijie Hu, Tianlang Xue, Zhangyi Hu, Jiaxu Li, Haicheng Liao, Yutao Yue
Arxiv, 2024
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[AAP'23] Efficient and robust estimation of single-vehicle crash severity: A mixed logit model with heterogeneity in means and variances.
Zhenning Li*, Haicheng Liao*, Ruru Tang, Guofa Li, Yunjian Li, Chengzhong Xu†
Accident Analysis & Prevention, 2023
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[CICTP'23] An Efficient Bayesian Robit Model for Traffic Safety Modeling.
Zhenning Li*, Haicheng Liao*, Ruru Tang, Guofa Li, Yiming Bie, Chengzhong Xu
COTA International Conference of Transportation Professionals, 2023
Last update: 09/2025 by Haicheng Liao.