Selected Publications (Order By Year)

1. 1. [IEEE-TRO] Haicheng Liao, Zhenning Li, Kaiqun Zhu, Keqiang Li, Chengzhong Xu. SA-TP^2: A Safety-Aware Trajectory Prediction and Planning Model for Autonomous Driving. IEEE Transactions on Robotics (TRO). 2025
   2. [TS] Liao, H., Li, Z., Zhang, G., Li, K., & Xu, C. Toward Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach. Transportation Science. 2025
   3. [IJCAI] Wang, B., Liao, H., Wang, C., Rao, B., Guan, Y., Yu, G., & Li, Z. Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction. International Joint Conference on Artificial Intelligence. 2025
   4. [ICML] Fan, Y., Cui, Z., Li, Z., Ren, Y., & Yu, H. SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation. International Conference on Machine Learning. 2025
   5. [ICCV] Rao, B., Liao, H., Guan, Y., Wang, C., Wang, B., Zhang, J., & Li, Z. AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction. International Conference on Computer Vision. 2025
   6. [MM] Zhang, J., Liao, H., Xie, Y., Wang, C., Guan, Y., Rao, B., & Li, Z. Eyes on the Road, Mind Beyond Vision: Context-Aware Multi-modal Enhanced Risk Anticipation. ACM International Conference on Multimedia (ACM MM). 2025
   7. [COMMEG] Guan, Y., Liao, H., Wang, C., Liu, X., Zhang, J., & Li, Z. World model-based end-to-end scene generation for accident anticipation in autonomous driving. Communications Engineering. 2025
   8. [IEEE-TITS] Liao, H., Rao, B., Sun, H., Wang, C., Chang, Q., Li, S. E., … & Li, Z. Chain-of-Thought Guided Multimodal Large Language Models for Scene-Aware Accident Anticipation in Autonomous Driving. IEEE Transactions on Intelligent Transportation Systems. 2025
   9. [IEEE-TITS] Liao, H., Wang, C., Zhu, K., Ren, Y., Gao, B., Li, S. E., … & Li, Z. Minds on the move: Decoding trajectory prediction in autonomous driving with cognitive insights. IEEE Transactions on Intelligent Transportation Systems. 2025
   10. [IEEE-TITS] Li, T., Bian, Z., Lei, H., Zuo, F., Yang, Y. T., Zhu, Q., Li, Z., & Ozbay, K. Digital Twin-Based Driver Risk-Aware Predictive Mobility Analytics for Real-Time Situational Awareness Through Cooperative Sensing. IEEE Transactions on Intelligent Transportation Systems. 2025
   11. [COMMTR] Guan, Y., Liao, H., Wang, C., Wang, B., Zhang, J., Hu, J., & Li, Z. Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation. Communications in Transportation Research. 2025
   12. [Trans.-B] Wang, Y., Yu, H., Li, Z., & Liu, P. Dynamic system optimum model with lane-changing traffic. Transportmetrica B: Transport Dynamics, 13(1), 2552885. 2025
   13. [IEEE-TII] Zhu K.; Wang Z.; Li Z.; Xu C.-Z. Secure Observer-Based Collision-Free Control for Autonomous Vehicles Under Non-Gaussian Noises. IEEE Transactions on Industrial Informatics. 2025
   14. [TUST] Guo Z.; Pang H.; Li G.; Li Z.; Xu H.; Green P. The influence of continuous tunnel driving on high-speed rail drivers’ brain responses. Tunnelling and Underground Space Technology. 2025
   15. [NC] Li Y.; Chen C.; Li Z.; Li Z. High-throughput atomistic modeling of nanocrystalline structure and mechanics of calcium aluminate silicate hydrate. Nature Communications. 2025
   16. [INFFUS] Zhang J.; Guan Y.; Wang C.; Liao H.; Zhang G.; Li Z. LATTE: A Real-time Lightweight Attention-based Traffic Accident Anticipation Engine. Information Fusion. 2025
   17. [AAAI] Wang C.; Liao H.; Wang B.; Guan Y.; Rao B.; Pu Z.; Cui Z.; Xu C.-Z.; Li Z. NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving. Proceedings of the AAAI Conference on Artificial Intelligence. 2025 [Oral (600/12957=4.6%)]
   18. [IEEE-TITS] Li G.; Zhang L.; Ouyang D.; Li Q.; Li Z.; Li S.E.; Green P.; Olaverri-Monreal C. Cross-Driver Domain Generalization for Improved Drowsiness Recognition Based on EEG Signals. IEEE Transactions on Intelligent Transportation Systems. 2025
   19. [AEI] Li G.; Lu H.; Li J.; Li Z.; Li Q.; Ren X.; Zheng L. Alternating interaction fusion of Image-Point cloud for Multi-Modal 3D object detection. Advanced Engineering Informatics. 2025
   20. [IEEE-TITS] Wang H.; Lian Z.; Li Z.; Wang J.; Eichberger A.; Hu J.; Chen Y.; Gao Y. Human-Machine Shared Control Approach for the Takeover of Cooperative Adaptive Cruise Control. IEEE Transactions on Intelligent Transportation Systems. 2025
   21. [IEEE-TAI] Liao H.; Kong H.; Wang B.; Wang C.; Ye W.; He Z.; Xu C.; Li Z. CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting. IEEE Transactions on Artificial Intelligence. 2025
   22. [IEEE-TPAMI] Wang C.; Liao H.; Li Z.; Xu C. WAKE: Towards Robust and Physically Feasible Trajectory Prediction for Autonomous Vehicles with WAvelet and KinEmatics Synergy. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2025
   23. [IEEE-TITS] Liao H.; Wang C.; Zhu K.; Ren Y.; Gao B.; Eben Li S.; Xu C.; Li Z. Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving With Cognitive Insights. IEEE Transactions on Intelligent Transportation Systems. 2025
   24. [INFFUS] Wang C.; Liao H.; Zhu K.; Zhang G.; Li Z. DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles. Information Fusion. 2025
   25. [CICTP] Wang Y.; Yu H.; Han Y.; Li Z.; Li J. Dynamic Network Loading Model Considering Lane-Changing Effects. Proceedings of the 24th COTA International Conference of Transportation Professionals. 2024
   26. [IEEE-TIV] Liao H.; Li Y.; Li Z.; Wang C.; Cui Z.; Li S.E.; Xu C. A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving. IEEE Transactions on Intelligent Vehicles. 2024
   27. [TR] Li Z.; Tang R.; Li G.; Xu C. Understanding social attitudes towards autonomous driving: a perspective from Chinese citizens. Transportation. 2024
   28. [AJSE] Tang R.; Li Z.; Xu C. An Adaptive Control Framework for Mixed Autonomy Traffic Platoon. Arabian Journal for Science and Engineering. 2024
   29. [IJCAI] Liao H.; Li X.; Li Y.; Kong H.; Wang C.; Wang B.; Guan Y.; Tam K.; Li Z. CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. IJCAI International Joint Conference on Artificial Intelligence. 2024
   30. [ICRA] Liao H.; Liu S.; Li Y.; Li Z.; Wang C.; Li Y.; Li S.E.; Xu C. Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments. IEEE International Conference on Robotics and Automation. 2024
   31. [IEEE-SJ] Li G.; Zhang L.; Li C.; Li Z.; Gao F.; Zheng L.; Green P. Investigating the Influence of Driving on Brain Connectivity Networks and Emotion Processing Mechanism Based on EEG Signals. IEEE Sensors Journal. 2024
   32. [MM] Liao H.; Li Y.; Wang C.; Guan Y.; Tam K.; Tian C.; Li L.; Xu C.; Li Z. When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models. MM 2024 – Proceedings of the 32nd ACM International Conference on Multimedia. 2024 [Oral (174/4385=3.9%)]
   33. [TR-C] Zhang L.; U L.H.; Ni S.; Chen D.; Li Z.; Wang W.; Xian W. City metro network expansion based on multi-objective reinforcement learning. Transportation Research Part C: Emerging Technologies. 2024
   34. [IJCAI] Liao H.; Wang C.; Li Z.; Li Y.; Wang B.; Li G.; Xu C.-Z. Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation. IJCAI International Joint Conference on Artificial Intelligence. 2024
   35. [IEEE-TR] Guo Z.; Liu Q.; Zhang L.; Li Z.; Li G. L-TLA: A Lightweight Driver Distraction Detection Method Based on Three-Level Attention Mechanisms. IEEE Transactions on Reliability. 2024
   36. [IJCAI] Liao H.; Li Z.; Wang C.; Wang B.; Kong H.; Guan Y.; Li G.; Cui Z. A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments. IJCAI International Joint Conference on Artificial Intelligence. 2024
   37. [IEEE-SJ] Li G.; Yuan Y.; Li C.; Li Q.; Li W.; Li Z.; Green P. A Super-Resolution Framework for Emotion Recognition Based on EEG Signals. IEEE Sensors Journal. 2024
   38. [MM] Liao H.; Sun H.; Shen H.; Wang C.; Tian C.; Tam K.; Li L.; Xu C.; Li Z. CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. MM 2024 – Proceedings of the 32nd ACM International Conference on Multimedia. 2024
   39. [AAP] Liao H.; Li Y.; Li Z.; Bian Z.; Lee J.; Cui Z.; Zhang G.; Xu C. Real-time accident anticipation for autonomous driving through monocular depth-enhanced 3D modeling. Accident Analysis and Prevention. 2024
   40. [TR-C] Lan Z.; Ren Y.; Yu H.; Liu L.; Li Z.; Wang Y.; Cui Z. Hi-SCL: Fighting long-tailed challenges in trajectory prediction with hierarchical wave-semantic contrastive learning. Transportation Research Part C: Emerging Technologies. 2024
   41. [ITSC] Bian Z.; Gao J.; Ozbay K.; Zuo F.; Zuo D.; Li Z. Informed Along the Road: Roadway Capacity Driven Graph Convolution Network for Network-Wide Traffic Prediction. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. 2024
   42. [IEEE-TIV] Guan Y.; Liao H.; Li Z.; Hu J.; Yuan R.; Li Y.; Zhang G.; Xu C. World Models for Autonomous Driving: An Initial Survey. IEEE Transactions on Intelligent Vehicles. 2024
   43. [AAP] Li Z.; Wang C.; Liao H.; Li G.; Xu C. Efficient and robust estimation of single-vehicle crash severity: A mixed logit model with heterogeneity in means and variances. Accident Analysis and Prevention. 2024
   44. [COMMTR] Liao H.; Shen H.; Li Z.; Wang C.; Li G.; Bie Y.; Xu C. GPT-4 enhanced multimodal grounding for autonomous driving: Leveraging cross-modal attention with large language models. Communications in Transportation Research. 2024
   45. [ECAI] Liao H.; Li Y.; Li Z.; Wang C.; Li G.; Tian C.; Bian Z.; Zhu K.; Cui Z.; Hu J. Less Is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. Frontiers in Artificial Intelligence and Applications. 2024
   46. [IJCAI] Liao H.; Li Z.; Wang C.; Shen H.; Liao D.; Wang B.; Li G.; Xu C. MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. IJCAI International Joint Conference on Artificial Intelligence. 
   47. [CVCI] Sun J.; Li W.; Lin Q.; Duan F.; Li Z.; Li S.E. Human-Vehicle Cooperative Driving with Multi-Lane Decision-Making via Incomplete Information Game. Proceedings of the 2024 8th CAA International Conference on Vehicular Control and Intelligence, CVCI 2024. 
   48. [CACIE] Li Z.; Chen Z.; Li Y.; Xu C. Context-aware trajectory prediction for autonomous driving in heterogeneous environments. Computer-Aided Civil and Infrastructure Engineering. 2024 [Cover-page Award]
   49. [AAAI] Liao H.; Li Z.; Shen H.; Zeng W.; Liao D.; Li G.; Li S.E.; Xu C. BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. Proceedings of the AAAI Conference on Artificial Intelligence. 
   50. [TR-C] Li T.; Bian Z.; Lei H.; Zuo F.; Yang Y.-T.; Zhu Q.; Li Z.; Ozbay K. Multi-level traffic-responsive tilt camera surveillance through predictive correlated online learning. Transportation Research Part C: Emerging Technologies. 2024
   51. [IEEE-TIV] Li G.; Qiu Y.; Yang Y.; Li Z.; Li S.; Chu W.; Green P.; Li S.E. Lane Change Strategies for Autonomous Vehicles: A Deep Reinforcement Learning Approach Based on Transformer. IEEE Transactions on Intelligent Vehicles. 2023
   52. [CCR] Li Y.; Sun Z.; Li Z.; Chen B.; Li Z. Dimeric and oligomeric interactions between calcium silicate aqua monomers before calcium silicate hydrate nucleation. Cement and Concrete Research. 2023
   53. [CICTP] Li Z.; Liao H.; Tang R.; Li G.; Bie Y.; Xu C.
       An Efficient Bayesian Robit Model for Traffic Safety Modeling. Proceedings of the 23rd COTA International Conference of Transportation Professionals. 
   54. [CICTP] Ji J.; Wang L.; Bie Y.; Li Z. Construction of Typical Driving Cycle for an Electric Bus Route Based on Real-World Data. Proceedings of the 23rd COTA International Conference of Transportation Professionals. [Best Paper Award]
   55. [CICTP] Ji Y.; Ma D.; Bie Y.; Li Z. A Deep Reinforcement Learning Approach for Isolated Intersection Traffic Signal Control with Long-Short Term Memory Network. Proceedings of the 23rd COTA International Conference of Transportation Professionals. 2023
   56. [AAP] Li Z.; Liao H.; Tang R.; Li G.; Li Y.; Xu C. Mitigating the impact of outliers in traffic crash analysis: A robust Bayesian regression approach with application to tunnel crash data. Accident Analysis and Prevention. 2023
   57. [PHYA] Li Z.; Xu C.; Bian Z. A force-driven model for passenger evacuation in bus fires. Physica A: Statistical Mechanics and its Applications. 2022
   58. [AIR] Yang Y.; Zhu H.; Zhang Q.; Zhao B.; Li Z.; Wunsch D.C. Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space. Artificial Intelligence Review. 2022
   59. [IEEE-TII] Zhang L.; Leong Hou U.; Zhou M.; Li Z. An Intelligent Train Operation Method Based on Event-Driven Deep Reinforcement Learning. IEEE Transactions on Industrial Informatics. 2022
   60. [AMAR] Yu H.; Li Z.; Zhang G.; Liu P.; Ma T. Fusion convolutional neural network-based interpretation of unobserved heterogeneous factors in driver injury severity outcomes in single-vehicle crashes. Analytic Methods in Accident Research. 2021
   61. [TR-C] Li Z.; Yu H.; Zhang G.; Dong S.; Xu C.-Z. Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning. Transportation Research Part C: Emerging Technologies. 2021
   62. [TR-D] Zhang Q.; Yu H.; Li Z.; Zhang G.; Ma D.T. Assessing potential likelihood and impacts of landslides on transportation network vulnerability. Transportation Research Part D: Transport and Environment. 2020
   63. [JTE-A]Yu H.; Liu P., Prof.; Li Z.; Zhang G.; Pu Z. Quantifying Significance of Young Traveler Characteristics in Travel Mode Choices Impacted by E-Hailing Services. Journal of Transportation Engineering Part A: Systems. 2020
   64. [IEEE-TVT] Yu H.; Li Z.; Zhang G.; Liu P.; Wang J. Extracting and Predicting Taxi Hotspots in Spatiotemporal Dimensions Using Conditional Generative Adversarial Neural Networks. IEEE Transactions on Vehicular Technology. 2020
   65. [AAP] Yu H.; Yuan R.; Li Z.; Zhang G.; Ma D.T. Identifying heterogeneous factors for driver injury severity variations in snow-related rural single-vehicle crashes. Accident Analysis and Prevention. 2019
   66. [TR-C] Li Z.; Yu H.; Zhang G.; Wang J. A Bayesian vector autoregression-based data analytics approach to enable irregularly-spaced mixed-frequency traffic collision data imputation with missing values. Transportation Research Part C: Emerging Technologies. 2019
   67. [TR-D] Li Z.; Yu H.; Chen X.; Zhang G.; Ma D. Tsunami-induced traffic evacuation strategy optimization. Transportation Research Part D: Transport and Environment. 2019
   68. [IEEE-TITS] Yu H.; Chen X.; Li Z.; Zhang G.; Liu P.; Yang J.; Yang Y. Taxi-Based Mobility Demand Formulation and Prediction Using Conditional Generative Adversarial Network-Driven Learning Approaches. IEEE Transactions on Intelligent Transportation Systems. 2019
   69. [AAP] Li Z.; Ci Y.; Chen C.; Zhang G.; Wu Q.; Qian Z.S.; Prevedouros P.D.; Ma D.T. Investigation of driver injury severities in rural single-vehicle crashes under rain conditions using mixed logit and latent class models. Accident Analysis and Prevention. 2019
   70. [AMAR] Yu H.; Li Z.; Zhang G.; Liu P. A latent class approach for driver injury severity analysis in highway single vehicle crash considering unobserved heterogeneity and temporal influence. Analytic Methods in Accident Research. 2019
   71. [AMAR] Li Z.; Chen X.; Ci Y.; Chen C.; Zhang G. A hierarchical Bayesian spatiotemporal random parameters approach for alcohol/drug impaired-driving crash frequency analysis. Analytic Methods in Accident Research. 2019
   72. [AAP] Li Z.; Wu Q.; Ci Y.; Chen C.; Chen X.; Zhang G.
       Using latent class analysis and mixed logit model to explore risk factors on driver injury severity in single-vehicle crashes. Accident Analysis and Prevention. 2019
   73. [TR-C] Li Z.; Wu Q.; Yu H.; Chen C.; Zhang G.; Tian Z.Z.; Prevedouros P.D. Temporal-spatial dimension extension-based intersection control formulation for connected and autonomous vehicle systems. Transportation Research Part C: Emerging Technologies. 2019
   74. [AAP] Li Z.; Chen C.; Ci Y.; Zhang G.; Wu Q.; Liu C.; Qian Z.S. Examining driver injury severity in intersection-related crashes using cluster analysis and hierarchical Bayesian models. Accident Analysis and Prevention. 2018
   75. [TR-F] Xianglong S.; Hu Z.; Shumin F.; Zhenning L. Bus drivers’ mood states and reaction abilities at high temperatures. Transportation Research Part F: Traffic Psychology and Behaviour. 2018
   76. [AMAR] Li Z.; Chen C.; Wu Q.; Zhang G.; Liu C.; Prevedouros P.D.; Ma D.T. Exploring driver injury severity patterns and causes in low visibility related single-vehicle crashes using a finite mixture random parameters model. Analytic Methods in Accident Research. 2018
   77. [AAP] Feng S.; Li Z.; Ci Y.; Zhang G. Risk factors affecting fatal bus accident severity: Their impact on different types of bus drivers. Accident Analysis and Prevention. 2016
   78. [JPT] Feng S.; Li Z.; Sun X. Analysis of bus fires using interpretative structural modeling. Journal of Public Transportation. 2016