(*): I am the co-first author; (†): Corresponding author

2026

50. [Engineering'26] End-to-End Traffic Accident Anticipation and Localization for Autonomous Driving.
    Haicheng Liao, Chengyue Wang, Bin Rao, Jiaxun Zhang, Haoyu Sun, Zhenning Li†, Chengzhong Xu, Hai Yang, Keqiang Li†
    Engineering, 2026 — Flagship Journal of the Chinese Academy of Engineering
    
51. [AIJ'26] Adaptive Large Language Model Reasoning for Autonomous Driving Decision-Making.
    Haicheng Liao, Chengyue Wang, Hanlin Kong, Zhenning Li†, Zhengbing He, Zhiyong Cui, Guohui Zhang, Chengzhong Xu†
    Artificial Intelligence, 2026
    
52. [ECCV'26] SFM: Taming State Space Models for Text-to-Motion via Spatial-Frequency Modeling.
    Shang Gao*, Haicheng Liao*, Wenshuo Chen, Yumu Xie, Jiaxun Zhang, Bin Rao, Chengyue Wang, Yanchen Guan, Zhiyong Cui, Shiqi Ou, Yutao Yue, Zhenning Li†
    European Conference on Computer Vision, 2026
    
53. [TPAMI'26] SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving.
    Chengyue Wang, Bin Rao, Haicheng Liao, Bonan Wang, Chengzhong Xu, Zhenning Li†
    IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026
    
54. [AAP'26] ROAR: Robust accident recognition and anticipation for autonomous driving.
    Xingcheng Liu, Yanchen Guan, Haicheng Liao, Zhengbing He, Zhenning Li
    Accident Analysis & Prevention, 2026
    
55. [CVPR'26] Think Before You Drive: World Model-Inspired Multimodal Grounding for Autonomous Vehicles.
    Haicheng Liao, Huanming Shen, Bonan Wang, Yongkang Li, Yihong Tang, Chengyue Wang, Dingyi Zhuang, Kehua Chen, Hai Yang, Chengzhong Xu†, Zhenning Li†
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
    
56. [CVPR'26] E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving.
    Yihong Tang*, Haicheng Liao*, Tong Nie, Junlin He, Ao Qu, Kehua Chen, Wei Ma, Zhenning Li†, Lijun Sun†, Chengzhong Xu†
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
    
57. [AAAI'26] Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving.
    Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, Zhenning Li†
    AAAI Conference on Artificial Intelligence (AAAI), 2026
    
58. [AAAI'26] Predict and Resist: Long-Term Accident Anticipation under Sensor Noise.
    Xingcheng Liu, Bin Rao, Yanchen Guan, Chengyue Wang, Haicheng Liao, Jiaxun Zhang, Chengyu Lin, Meixin Zhu, Zhenning Li†
    AAAI Conference on Artificial Intelligence (AAAI), 2026
    

2025

41. [ICRA'25] DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving.
    Songning Lai, Tianlang Xue, Hongru Xiao, Lijie Hu, Jiemin Wu, Ninghui Feng, Runwei Guan, Haicheng Liao, Zhenning Li, Yutao Yue
    IEEE International Conference on Robotics and Automation, 2025
    
42. [ACM MM'25] Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck Models.
    Songning Lai, Mingqian Liao, Zhangyi Hu, Jiayu Yang, Wenshuo Chen, Hongru Xiao, Jianheng Tang, Haicheng Liao, Yutao Yue
    ACM International Conference on Multimedia, Brave New Ideas Track, 2025
    
43. [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
    
44. [TS'25] Towards Human-Like Trajectory Prediction: A Behavior-Centric Approach.
    Haicheng Liao, Zhenning Li†, Keqiang Li, Chengzhong Xu
    Transportation Science, 2025
    
45. [TR-C'25] Addressing Corner Cases in Autonomous Driving: A World Model-based Approach with Mixture of Experts and LLMs.
    Haicheng Liao, Bonan Wang, Junxian Yang, Chengyue Wang, Zhengbin He, Guohui Zhang, Chengzhong Xu, Zhenning Li†
    Transportation Research Part C: Emerging Technologies, 2025
    
46. [AI Open'25] Safecast: Risk-responsive motion forecasting for autonomous vehicles.
    Haicheng Liao, Hanlin Kong, Zhenning Li, Chengzhong Xu
    AI Open, 2025
    
47. [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
    
48. [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
    
49. [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
    
50. [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]
    
51. [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
    
52. [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
53. [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
    
54. [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
    
55. [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
56. [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%)
57. [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
    
58. [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
59. [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
60. [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
    

2024

21. [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
22. [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%)
    
23. [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
    
24. [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
    
25. [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
    
26. [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
    
27. [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!
    
28. [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
    
29. [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
    
30. [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
    
31. [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
    
32. [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%
    
33. [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
    
34. [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
    
35. [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
    
36. [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!
    
37. [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
    
38. [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
    
39. [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
    

2023

2. [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
   
3. [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