Meixin Zhu

73 papers A* 2A 2C 8Journal 56Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving.
AAAI
Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, Zhenning Li
2026 A* conf
Predict and Resist: Long-Term Accident Anticipation Under Sensor Noise.
AAAI
Xingcheng Liu, Bin Rao, Yanchen Guan, Chengyue Wang, Haicheng Liao, Jiaxun Zhang, Chengyu Lin, Meixin Zhu, Zhenning Li
2025 J jnl
Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving.
CoRR
Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, Zhenning Li
2025 J jnl
Diffusion Models for Intelligent Transportation Systems: A Survey.
IEEE Trans. Intell. Transp. Syst.
Mingxing Peng, Kehua Chen, Xusen Guo, Qiming Zhang, Hui Zhong, Meixin Zhu, Hai Yang
2025 J jnl
Dynamic High-Order Control Barrier Functions With Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections.
IEEE Trans. Intell. Transp. Syst.
Di Chen, Ruiguo Zhong, Kehua Chen, Zhiwei Shang, Meixin Zhu, Edward Chung
2025 J jnl
EditFollower: Tunable Car Following Models for Customizable Driving Behavior.
IEEE Trans. Intell. Transp. Syst.
Xianda Chen, Xu Han, Meixin Zhu, Xiaowen Chu, PakHin Tiu, Xinhu Zheng, Yinhai Wang
2025 J jnl
Effective Reinforcement Learning Control using Conservative Soft Actor-Critic.
CoRR
Xinyi Yuan, Zhiwei Shang, Wenjun Huang, Yunduan Cui, Di Chen, Meixin Zhu
2025 J jnl
EnsembleFollower: A Hybrid Car-Following Framework Based on Hierarchical Planning and Reinforcement Learning.
IEEE Trans. Veh. Technol.
Xu Han, Xianda Chen, Meixin Zhu, Pinlong Cai, Jianshan Zhou, Xiaowen Chu
2025 J jnl
Human-Like Interactive Lane-Change Modeling Based on Reward-Guided Diffusive Predictor and Planner.
IEEE Trans. Intell. Transp. Syst.
Kehua Chen, Yuhao Luo, Meixin Zhu, Hai Yang
2025 J jnl
Predict and Resist: Long-Term Accident Anticipation under Sensor Noise.
CoRR
Xingcheng Liu, Bin Rao, Yanchen Guan, Chengyue Wang, Haicheng Liao, Jiaxun Zhang, Chengyu Lin, Meixin Zhu, Zhenning Li
2025 A conf
Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control.
IROS
Xinyi Yuan, Zhiwei Shang, Zifan Wang, Chenkai Wang, Zhao Shan, Meixin Zhu, Chenjia Bai, Weiwei Wan, Kensuke Harada, Xuelong Li
2025 J jnl
Score-Based Spatial-Temporal Point Process for Traffic Accident Prediction.
IEEE Trans. Intell. Transp. Syst.
Kehua Chen, Yuhao Luo, Meixin Zhu, Xiaomeng Wang, Hongcheng Wang, Hai Yang
2024 — conf
A Hippocampus-Inspired Dynamic Planning Method for Overtaking Scenes via Predictive Map.
ITSC
Yupei Liu, Danni Chen, Chao Lu, Hongliang Lu, Meixin Zhu
2024 J jnl
Automating Traffic Model Enhancement with AI Research Agent.
CoRR
Xusen Guo, Xinxi Yang, Mingxing Peng, Hongliang Lu, Meixin Zhu, Hai Yang
2024 — conf
Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments.
ITSC
Xianda Chen, PakHin Tiu, Xu Han, Junjie Chen, Yuanfei Wu, Xinhu Zheng, Meixin Zhu
2024 J jnl
Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments.
CoRR
Xianda Chen, PakHin Tiu, Xu Han, Junjie Chen, Yuanfei Wu, Xinhu Zheng, Meixin Zhu
2024 C conf
Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI.
IV
Junyue Jiang, Hongliang Lu, Chenxi Liu, Meixin Zhu, Yiran Chen, Hao (Frank) Yang
2024 J jnl
Data-Driven Traffic Simulation: A Comprehensive Review.
IEEE Trans. Intell. Veh.
Di Chen, Meixin Zhu, Hao Yang, Xuesong Wang, Yinhai Wang
2024 J jnl
Diffusion Models for Intelligent Transportation Systems: A Survey.
CoRR
Mingxing Peng, Kehua Chen, Xusen Guo, Qiming Zhang, Hongliang Lu, Hui Zhong, Di Chen, Meixin Zhu, Hai Yang
2024 C conf
Driving Style-aware Car-following Considering Cut-in Tendencies of Adjacent Vehicles with Inverse Reinforcement Learning.
IV
Xiaoyun Qiu, Yue Pan, Meixin Zhu, Liuqing Yang, Xinhu Zheng
2024 J jnl
Dynamic High-Order Control Barrier Functions with Diffuser for Safety-Critical Trajectory Planning at Signal-Free Intersections.
CoRR
Di Chen, Ruiguo Zhong, Kehua Chen, Zhiwei Shang, Meixin Zhu, Edward Chung
2024 — conf
EcoFollower: An Environment-Friendly Car Following Model Considering Fuel Consumption.
ITSC
Hui Zhong, Xianda Chen, PakHin Tiu, Hongliang Lu, Meixin Zhu
2024 J jnl
EcoFollower: An Environment-Friendly Car Following Model Considering Fuel Consumption.
CoRR
Hui Zhong, Xianda Chen, PakHin Tiu, Hongliang Lu, Meixin Zhu
2024 J jnl
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems.
CoRR
Xianda Chen, Xu Han, Meixin Zhu, Xiaowen Chu, PakHin Tiu, Xinhu Zheng, Yinhai Wang
2024 J jnl
Enhancing Interpretability of Autonomous Driving via Human-Like Cognitive Maps: A Case Study on Lane Change.
IEEE Trans. Intell. Veh.
Hongliang Lu, Yupei Liu, Meixin Zhu, Chao Lu, Hai Yang, Yinhai Wang
2024 A conf
Environment Transformer and Policy Optimization for Model-Based Offline Reinforcement Learning.
IROS
Pengqin Wang, Meixin Zhu, Shaojie Shen
2024 J jnl
From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving.
CoRR
Xu Han, Xianda Chen, Zhenghan Cai, Pinlong Cai, Meixin Zhu, Xiaowen Chu
2024 C conf
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction.
IV
Yuhao Luo, Kehua Chen, Meixin Zhu
2024 J jnl
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction.
CoRR
Yuhao Luo, Kehua Chen, Meixin Zhu
2024 J jnl
GenFollower: Enhancing Car-Following Prediction with Large Language Models.
CoRR
Xianda Chen, Mingxing Peng, PakHin Tiu, Yuanfei Wu, Junjie Chen, Meixin Zhu, Xinhu Zheng
2024 — conf
Generating and Evolving Reward Functions for Highway Driving with Large Language Models.
ITSC
Xu Han, Qiannan Yang, Xianda Chen, Xiaowen Chu, Meixin Zhu
2024 J jnl
Generating and Evolving Reward Functions for Highway Driving with Large Language Models.
CoRR
Xu Han, Qiannan Yang, Xianda Chen, Xiaowen Chu, Meixin Zhu
2024 J jnl
HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective.
CoRR
Pei Liu, Zihao Zhang, Haipeng Liu, Nanfang Zheng, Meixin Zhu, Ziyuan Pu
2024 J jnl
How to predict on-road air pollution based on street view images and machine learning: a quantitative analysis of the optimal strategy.
CoRR
Hui Zhong, Di Chen, Pengqin Wang, Wenrui Wang, Shaojie Shen, Yonghong Liu, Meixin Zhu
2024 C conf
Improving Car-Following Control in Mixed Traffic: A Deep Reinforcement Learning Framework with Aggregated Human-Driven Vehicles.
IV
Xianda Chen, PakHin Tiu, Yihuai Zhang, Meixin Zhu, Xinhu Zheng, Yinhai Wang
2024 J jnl
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models.
CoRR
Mingxing Peng, Xusen Guo, Xianda Chen, Meixin Zhu, Kehua Chen, Hao Yang, Xuesong Wang, Yinhai Wang
2024 J jnl
LF-Net: A Learning-Based Frenet Planning Approach for Urban Autonomous Driving.
IEEE Trans. Intell. Veh.
Zihan Yu, Meixin Zhu, Kehua Chen, Xiaowen Chu, Xuesong Wang
2024 C conf
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression.
IV
Chengyuan Zhang, Kehua Chen, Meixin Zhu, Hai Yang, Lijun Sun
2024 J jnl
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression.
CoRR
Chengyuan Zhang, Kehua Chen, Meixin Zhu, Hai Yang, Lijun Sun
2024 C conf
Learning Realistic and Reactive Traffic Agents.
IV
Meixin Zhu, Di Chen, Xinyi Yuan, Zhiwei Shang, Chenxi Liu
2024 J jnl
MetaFollower: Adaptable Personalized Autonomous Car Following.
CoRR
Xianda Chen, Kehua Chen, Meixin Zhu, Hao Yang, Shaojie Shen, Xuesong Wang, Yinhai Wang
2024 C conf
Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems.
IV
Hao (Frank) Yang, Yang Zhao, Jiarui Cai, Meixin Zhu, Jenq-Neng Hwang, Yiran Chen
2024 C conf
Personalized Context-Aware Multi-Modal Transportation Recommendation.
IV
Xianda Chen, Meixin Zhu, PakHin Tiu, Yinhai Wang
2024 J jnl
Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control.
CoRR
Xinyi Yuan, Zhiwei Shang, Zifan Wang, Chenkai Wang, Zhao Shan, Zhenchao Qi, Meixin Zhu, Chenjia Bai, Xuelong Li
2024 J jnl
Real-Time Multi-Task Environmental Perception System for Traffic Safety Empowered by Edge Artificial Intelligence.
IEEE Trans. Intell. Transp. Syst.
Chenxi Liu, Hao (Frank) Yang, Meixin Zhu, Feilong Wang, Torgeir Vaa, Yinhai Wang
2024 J jnl
Risk-Anticipatory Autonomous Driving Strategies Considering Vehicles' Weights Based on Hierarchical Deep Reinforcement Learning.
IEEE Trans. Intell. Transp. Syst.
Di Chen, Hao Li, ZhiCheng Jin, Huizhao Tu, Meixin Zhu
2024 J jnl
Risk-Aware Net: An Explicit Collision-Constrained Framework for Enhanced Safety Autonomous Driving.
IEEE Robotics Autom. Lett.
Zihan Yu, Meixin Zhu, Xiaowen Chu
2024 J jnl
Towards Responsible and Reliable Traffic Flow Prediction with Large Language Models.
CoRR
Xusen Guo, Qiming Zhang, Junyue Jiang, Mingxing Peng, Hao Yang, Meixin Zhu
2024 J jnl
Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach.
CoRR
Pei Liu, Haipeng Liu, Yiqun Li, Tianyu Shi, Meixin Zhu, Ziyuan Pu
2023 J jnl
A hierarchical framework for improving ride comfort of autonomous vehicles via deep reinforcement learning with external knowledge.
Comput. Aided Civ. Infrastructure Eng.
Yuchuan Du, Jing Chen, Cong Zhao, Feixiong Liao, Meixin Zhu
2023 J jnl
BEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning.
CoRR
Pengqin Wang, Meixin Zhu, Hongliang Lu, Hui Zhong, Xianda Chen, Shaojie Shen, Xuesong Wang, Yinhai Wang
2023 J jnl
Catch Planner: Catching High-Speed Targets in the Flight.
CoRR
Huan Yu, Pengqin Wang, Jin Wang, Jialin Ji, Zhi Zheng, Jie Tu, Guodong Lu, Jun Meng, Meixin Zhu, Shaojie Shen, Fei Gao
2023 J jnl
Data-driven Traffic Simulation: A Comprehensive Review.
CoRR
Di Chen, Meixin Zhu, Hao Yang, Xuesong Wang, Yinhai Wang
2023 J jnl
ENTROPY: Environment Transformer and Offline Policy Optimization.
CoRR
Pengqin Wang, Meixin Zhu, Shaojie Shen
2023 J jnl
EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning.
CoRR
Xu Han, Xianda Chen, Meixin Zhu, Pinlong Cai, Jianshan Zhou, Xiaowen Chu
2023 — conf
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction.
ITSC
Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang
2023 J jnl
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction.
CoRR
Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang
2023 J jnl
FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling.
CoRR
Xianda Chen, Meixin Zhu, Kehua Chen, Pengqin Wang, Hongliang Lu, Hui Zhong, Xu Han, Yinhai Wang
2023 J jnl
Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging.
IEEE Trans. Intell. Veh.
Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Hao (Frank) Yang, Yifan Zhuang, Yinhai Wang
2023 J jnl
Network-Wide Traffic Signal Control Using Bilinear System Modeling and Adaptive Optimization.
IEEE Trans. Intell. Transp. Syst.
Hong Wang, Meixin Zhu, Wanshi Hong, Chieh Ross Wang, Wan Li, Gang Tao, Yinhai Wang
2022 J jnl
How Fast You Will Drive? Predicting Speed of Customized Paths By Deep Neural Network.
IEEE Trans. Intell. Transp. Syst.
Hao Yang, Chenxi Liu, Meixin Zhu, Xuegang Ban, Yinhai Wang
2022 J jnl
Optimizing Signal Timing Control for Large Urban Traffic Networks Using an Adaptive Linear Quadratic Regulator Control Strategy.
IEEE Trans. Intell. Transp. Syst.
Hong Wang, Meixin Zhu, Wanshi Hong, Chieh Wang, Gang Tao, Yinhai Wang
2022 J jnl
Traffic-Informed Multi-Camera Sensing (TIMS) System Based on Vehicle Re-Identification.
IEEE Trans. Intell. Transp. Syst.
Hao Yang, Jiarui Cai, Meixin Zhu, Chenxi Liu, Yinhai Wang
2022 J jnl
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer.
CoRR
Meixin Zhu, Simon S. Du, Xuesong Wang, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang
2021 J jnl
Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices.
IEEE Internet Things J.
Ziyuan Pu, Meixin Zhu, Wenxiang Li, Zhiyong Cui, Xiaoyu Guo, Yinhai Wang
2020 J jnl
IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing.
CoRR
Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Yinhai Wang
2019 J jnl
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning.
CoRR
Meixin Zhu, Xuesong Wang, Yinhai Wang
2019 J jnl
Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data.
CoRR
Ziyuan Pu, Meixin Zhu, Zhiyong Cui, Yinhai Wang
2019 J jnl
Personalized Context-Aware Multi-Modal Transportation Recommendation.
CoRR
Meixin Zhu, Jingyun Hu, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang
2019 J jnl
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving.
CoRR
Meixin Zhu, Yinhai Wang, Jingyun Hu, Xuesong Wang, Ruimin Ke
2019 J jnl
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment.
CoRR
Meixin Zhu, Jingyun Hu, Ziyuan Pu, Zhiyong Cui, Liangwu Yan, Yinhai Wang
2018 J jnl
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study.
CoRR
Meixin Zhu, Xuesong Wang, Andrew P. Tarko, Shou'en Fang
2016 J jnl
Development of a Kinematic-Based Forward Collision Warning Algorithm Using an Advanced Driving Simulator.
IEEE Trans. Intell. Transp. Syst.
Xuesong Wang, Ming Chen, Meixin Zhu, Paul Tremont