Taxi-Based Mobility Demand Formulation and Prediction Using Conditional Generative Adversarial Network-Driven Learning Approaches. - Hao Yu 031; Xiaofeng Chen; Zhenning Li 001; Guohui Zhang 001; Pan Liu; Jinfu Yang; Yin Yang 002 (IEEE Trans. Intell. Transp. Syst., 2019)

Extracting and Predicting Taxi Hotspots in Spatiotemporal Dimensions Using Conditional Generative Adversarial Neural Networks. - Hao Yu 031; Zhenning Li 001; Guohui Zhang 001; Pan Liu; Jun Wang 006 (IEEE Trans. Veh. Technol., 2020)

Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning. - Zhenning Li 001; Hao Yu 031; Guohui Zhang 001; Shangjia Dong; Cheng-Zhong Xu 001 (CoRR, 2021)

A Deep Reinforcement Learning Approach for Traffic Signal Control Optimization. - Zhenning Li 001; Chengzhong Xu 001; Guohui Zhang 001 (CoRR, 2021)

Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space. - Yongliang Yang 001; Hufei Zhu; Qichao Zhang; Bo Zhao 015; Zhenning Li 001; Donald C. Wunsch (Artif. Intell. Rev., 2022)

An Intelligent Train Operation Method Based on Event-Driven Deep Reinforcement Learning. - Liqing Zhang; Leong Hou U; Mingliang Zhou 001; Zhenning Li 001 (IEEE Trans. Ind. Informatics, 2022)

GPT-4 Enhanced Multimodal Grounding for Autonomous Driving: Leveraging Cross-Modal Attention with Large Language Models. - Haicheng Liao; Huanming Shen; Zhenning Li 001; Chengyue Wang 001; Guofa Li; Yiming Bie; Chengzhong Xu 001 (CoRR, 2023)

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. - Haicheng Liao; Zhenning Li 001; Huanming Shen; Wenxuan Zeng; Dongping Liao; Guofa Li; Shengbo Eben Li; Chengzhong Xu 001 (CoRR, 2023)

Lane Change Strategies for Autonomous Vehicles: A Deep Reinforcement Learning Approach Based on Transformer. - Guofa Li; Yifan Qiu; Yifan Yang; Zhenning Li 001; Shen Li 001; Wenbo Chu; Paul Green; Shengbo Eben Li (IEEE Trans. Intell. Veh., 2023)

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving. - Haicheng Liao; Zhenning Li 001; Huanming Shen; Wenxuan Zeng; Dongping Liao; Guofa Li; Chengzhong Xu 001 (AAAI, 2024)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. - Haicheng Liao; Yongkang Li 003; Zhenning Li 001; Chengyue Wang 001; Guofa Li; Chunlin Tian; Zilin Bian; Kaiqun Zhu; Zhiyong Cui; Jia Hu 003 (ECAI, 2024)

Human Observation-Inspired Trajectory Prediction for Autonomous Driving in Mixed-Autonomy Traffic Environments. - Haicheng Liao; Shangqian Liu; Yongkang Li 003; Zhenning Li 001; Chengyue Wang 001; Yunjian Li; Shengbo Eben Li; Chengzhong Xu 001 (ICRA, 2024)

CDSTraj: Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. - Haicheng Liao; Xuelin Li; Yongkang Li 003; Hanlin Kong; Chengyue Wang 001; Bonan Wang; Yanchen Guan; KaHou Tam; Zhenning Li 001 (IJCAI, 2024)

MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving. - Haicheng Liao; Zhenning Li 001; Chengyue Wang 001; Huanming Shen; Dongping Liao; Bonan Wang; Guofa Li; Chengzhong Xu 001 (IJCAI, 2024)

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environments. - Haicheng Liao; Zhenning Li 001; Chengyue Wang 001; Bonan Wang; Hanlin Kong; Yanchen Guan; Guofa Li; Zhiyong Cui (IJCAI, 2024)

Physics-Informed Trajectory Prediction for Autonomous Driving under Missing Observation. - Haicheng Liao; Chengyue Wang 001; Zhenning Li 001; Yongkang Li 003; Bonan Wang; Guofa Li; Chengzhong Xu 001 (IJCAI, 2024)

Informed Along the Road: Roadway Capacity Driven Graph Convolution Network for Network-Wide Traffic Prediction. - Zilin Bian; Jingqin Gao; Kaan Ozbay; Fan Zuo; Dachuan Zuo; Zhenning Li 001 (ITSC, 2024)

When, Where, and What? A Benchmark for Accident Anticipation and Localization with Large Language Models. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Yanchen Guan; Kahou Tam; Chunlin Tian; Li Li 064; Chengzhong Xu 001; Zhenning Li 001 (ACM Multimedia, 2024)

CRASH: Crash Recognition and Anticipation System Harnessing with Context-Aware and Temporal Focus Attentions. - Haicheng Liao; Haoyu Sun; Huanming Shen; Chengyue Wang 001; Chunlin Tian; KaHou Tam; Li Li 064; Chengzhong Xu 001; Zhenning Li 001 (ACM Multimedia, 2024)

Trajectory Prediction for Autonomous Driving Using a Transformer Network. - Zhenning Li 001; Hao Yu (CoRR, 2024)

World Models for Autonomous Driving: An Initial Survey. - Yanchen Guan; Haicheng Liao; Zhenning Li 001; Guohui Zhang 001; Chengzhong Xu 001 (CoRR, 2024)

A Cognitive-Driven Trajectory Prediction Model for Autonomous Driving in Mixed Autonomy Environment. - Haicheng Liao; Zhenning Li 001; Chengyue Wang 001; Bonan Wang; Hanlin Kong; Yanchen Guan; Guofa Li; Zhiyong Cui; Chengzhong Xu 001 (CoRR, 2024)

Characterized Diffusion and Spatial-Temporal Interaction Network for Trajectory Prediction in Autonomous Driving. - Haicheng Liao; Xuelin Li; Yongkang Li 003; Hanlin Kong; Chengyue Wang 001; Bonan Wang; Yanchen Guan; KaHou Tam; Zhenning Li 001; Chengzhong Xu 001 (CoRR, 2024)

Accelerating the Evolution of Personalized Automated Lane Change through Lesson Learning. - Jia Hu 003; Mingyue Lei; Duo Li; Zhenning Li 001; Jaehyun So; Haoran Wang 002 (CoRR, 2024)

Space Domain based Ecological Cooperative and Adaptive Cruise Control on Rolling Terrain. - Mingyue Lei; Haoran Wang 002; Duo Li; Zhenning Li 001; Ashish Dhamaniya; Jia Hu 003 (CoRR, 2024)

Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach. - Zilin Bian; Jingqin Gao; Kaan Ozbay; Zhenning Li 001 (CoRR, 2024)

Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction. - Haicheng Liao; Yongkang Li 003; Zhenning Li 001; Chengyue Wang 001; Chunlin Tian; Yuming Huang 007; Zilin Bian; Kaiqun Zhu; Guofa Li; Ziyuan Pu; Jia Hu 003; Zhiyong Cui; et al. (CoRR, 2024)

Human-Machine Shared Control Approach for the Takeover of Cooperative Adaptive Cruise Control. - Haoran Wang 002; Zhenning Li 001; Arno Eichberger; Jia Hu 003 (CoRR, 2024)

Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management. - Tao Li 046; Zilin Bian; Haozhe Lei; Fan Zuo; Ya-Ting Yang; Quanyan Zhu; Zhenning Li 001; Zhibin Chen; Kaan Ozbay (CoRR, 2024)

When, Where, and What? A Novel Benchmark for Accident Anticipation and Localization with Large Language Models. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Yanchen Guan; KaHou Tam; Chunlin Tian; Li Li 064; Chengzhong Xu 001; Zhenning Li 001 (CoRR, 2024)

Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning. - Tao Li 046; Zilin Bian; Haozhe Lei; Fan Zuo; Ya-Ting Yang; Quanyan Zhu; Zhenning Li 001; Kaan Ozbay (CoRR, 2024)

Real-time Accident Anticipation for Autonomous Driving Through Monocular Depth-Enhanced 3D Modeling. - Haicheng Liao; Yongkang Li 003; Chengyue Wang 001; Songning Lai; Zhenning Li 001; Zilin Bian; Jaeyoung Lee 001; Zhiyong Cui; Guohui Zhang 001; ChengZhong Xu 001 (CoRR, 2024)

Context-aware trajectory prediction for autonomous driving in heterogeneous environments. - Zhenning Li 001; Zhiwei Chen; Yunjian Li; Chengzhong Xu 001 (Comput. Aided Civ. Infrastructure Eng., 2024)

A Cognitive-Based Trajectory Prediction Approach for Autonomous Driving. - Haicheng Liao; Yongkang Li 003; Zhenning Li 001; Chengyue Wang 001; Zhiyong Cui; Shengbo Eben Li; Chengzhong Xu 001 (IEEE Trans. Intell. Veh., 2024)

L-TLA: A Lightweight Driver Distraction Detection Method Based on Three-Level Attention Mechanisms. - Zizheng Guo; Qing Liu; Lin Zhang 035; Zhenning Li 001; Guofa Li (IEEE Trans. Reliab., 2024)

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving. - Chengyue Wang 001; Haicheng Liao; Bonan Wang; Yanchen Guan; Bin Rao; Ziyuan Pu; Zhiyong Cui; Cheng-Zhong Xu 001; Zhenning Li 001 (AAAI, 2025)

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 001; Yutao Yue (ICRA, 2025)

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction. - Bonan Wang; Haicheng Liao; Chengyue Wang 001; Bin Rao; Yanchen Guan; Guyang Yu; Jiaxun Zhang; Songning Lai; Chengzhong Xu 001; Zhenning Li 001 (IJCAI, 2025)

Alternating interaction fusion of Image-Point cloud for Multi-Modal 3D object detection. - Guofa Li; Haifeng Lu; Jie Li 042; Zhenning Li 001; Qingkun Li; Xiangyun Ren; Ling Zheng (Adv. Eng. Informatics, 2025)

SafeCast: Risk-responsive motion forecasting for autonomous vehicles. - Haicheng Liao; Hanlin Kong; Zhenning Li 001; Cheng-zhong Xu 001 (AI Open, 2025)

DEMO: A Dynamics-Enhanced Learning Model for multi-horizon trajectory prediction in autonomous vehicles. - Chengyue Wang 001; Haicheng Liao; Kaiqun Zhu; Guohui Zhang 001; Zhenning Li 001 (Inf. Fusion, 2025)

LATTE: A Real-time Lightweight Attention-based Traffic Accident Anticipation Engine. - Jiaxun Zhang; Yanchen Guan; Chengyue Wang 001; Haicheng Liao; Guohui Zhang 001; Zhenning Li 001 (Inf. Fusion, 2025)

Toward Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach. - Haicheng Liao; Zhenning Li 001; Guohui Zhang 001; Keqiang Li 004; Cheng-Zhong Xu 001 (Transp. Sci., 2025)

SA-TP$^{2}$: A Safety-Aware Trajectory Prediction and Planning Model for Autonomous Driving. - Haicheng Liao; Zhenning Li 001; Kaiqun Zhu; Keqiang Li 002; Cheng-Zhong Xu 001 (IEEE Trans. Robotics, 2025)

CoT-Drive: Efficient Motion Forecasting for Autonomous Driving with LLMs and Chain-of-Thought Prompting. - Haicheng Liao; Hanlin Kong; Bonan Wang; Chengyue Wang 001; Wang Ye; Zhengbing He; Cheng-Zhong Xu 001; Zhenning Li 001 (CoRR, 2025)

SafeCast: Risk-Responsive Motion Forecasting for Autonomous Vehicles. - Haicheng Liao; Hanlin Kong; Bin Rao; Bonan Wang; Chengyue Wang 001; Guyang Yu; Yuming Huang 007; Ruru Tang; Cheng-Zhong Xu 001; Zhenning Li 001 (CoRR, 2025)

Secure Observer-Based Collision-Free Control for Autonomous Vehicles Under Non-Gaussian Noises. - Kaiqun Zhu; Zidong Wang 001; Zhenning Li 001; Cheng-Zhong Xu 001 (IEEE Trans. Ind. Informatics, 2025)

LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine. - Jiaxun Zhang; Yanchen Guan; Chengyue Wang 001; Haicheng Liao; Guohui Zhang 001; Zhenning Li 001 (CoRR, 2025)

WAKE: Towards Robust and Physically Feasible Trajectory Prediction for Autonomous Vehicles With WAvelet and KinEmatics Synergy. - Chengyue Wang 001; Haicheng Liao; Zhenning Li 001; Chengzhong Xu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Towards Human-Like Trajectory Prediction for Autonomous Driving: A Behavior-Centric Approach. - Haicheng Liao; Zhenning Li 001; Guohui Zhang 001; Keqiang Li 004; Chengzhong Xu 002 (CoRR, 2025)

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation. - Yuqi Fan 003; Zhiyong Cui; Zhenning Li 001; Yilong Ren; Haiyang Yu 002 (CoRR, 2025)

Minds on the Move: Decoding Trajectory Prediction in Autonomous Driving With Cognitive Insights. - Haicheng Liao; Chengyue Wang 001; Kaiqun Zhu; Yilong Ren; Bolin Gao; Shengbo Eben Li; Chengzhong Xu 001; Zhenning Li 001 (IEEE Trans. Intell. Transp. Syst., 2025)

AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction. - Bin Rao; Haicheng Liao; Yanchen Guan; Chengyue Wang 001; Bonan Wang; Jiaxun Zhang; Zhenning Li 001 (CoRR, 2025)

Eyes on the Road, Mind Beyond Vision: Context-Aware Multi-modal Enhanced Risk Anticipation. - Jiaxun Zhang; Haicheng Liao; Yumu Xie; Chengyue Wang 001; Yanchen Guan; Bin Rao; Zhenning Li 001 (CoRR, 2025)

Domain-Enhanced Dual-Branch Model for Efficient and Interpretable Accident Anticipation. - Yanchen Guan; Haicheng Liao; Chengyue Wang 001; Bonan Wang; Jiaxun Zhang; Jia Hu 003; Zhenning Li 001 (CoRR, 2025)

World Model-Based End-to-End Scene Generation for Accident Anticipation in Autonomous Driving. - Yanchen Guan; Haicheng Liao; Chengyue Wang 001; Xingcheng Liu; Jiaxun Zhang; Zhenning Li 001 (CoRR, 2025)

MapKD: Unlocking Prior Knowledge with Cross-Modal Distillation for Efficient Online HD Map Construction. - Ziyang Yan; Ruikai Li; Zhiyong Cui; Bohan Li; Han Jiang 003; Yilong Ren; Aoyong Li; Zhenning Li 001; Sijia Wen; Haiyang Yu 002 (CoRR, 2025)