Meixin Zhu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 44

Top Topics

Sign Detection And Recognition

Traffic Signal Control

Reinforcement Learning

Autonomous Driving

Top Venues

IEEE Trans. Intell. Transp. Syst.

IEEE Trans. Intell. Veh.

Publications

Xusen Guo, Qiming Zhang, Junyue Jiang, Mingxing Peng, Hao Yang, Meixin Zhu
Towards Responsible and Reliable Traffic Flow Prediction with Large Language Models. CoRR (2024)
Chengyuan Zhang, Kehua Chen, Meixin Zhu, Hai Yang, Lijun Sun
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression. IV (2024)
Di Chen, Meixin Zhu, Hao Yang, Xuesong Wang, Yinhai Wang
Data-Driven Traffic Simulation: A Comprehensive Review. IEEE Trans. Intell. Veh. 9 (4) (2024)
Xiaoyun Qiu, Yue Pan, Meixin Zhu, Liuqing Yang, Xinhu Zheng
Driving Style-aware Car-following Considering Cut-in Tendencies of Adjacent Vehicles with Inverse Reinforcement Learning. IV (2024)
Chenxi Liu, Hao (Frank) Yang, Meixin Zhu, Feilong Wang, Torgeir Vaa, Yinhai Wang
Real-Time Multi-Task Environmental Perception System for Traffic Safety Empowered by Edge Artificial Intelligence. IEEE Trans. Intell. Transp. Syst. 25 (1) (2024)
Xianda Chen, PakHin Tiu, Yihuai Zhang, Meixin Zhu, Xinhu Zheng, Yinhai Wang
Improving Car-Following Control in Mixed Traffic: A Deep Reinforcement Learning Framework with Aggregated Human-Driven Vehicles. IV (2024)
Xianda Chen, PakHin Tiu, Xu Han, Junjie Chen, Yuanfei Wu, Xinhu Zheng, Meixin Zhu
Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments. CoRR (2024)
Yuhao Luo, Kehua Chen, Meixin Zhu
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction. IV (2024)
Xu Han, Qiannan Yang, Xianda Chen, Xiaowen Chu, Meixin Zhu
Generating and Evolving Reward Functions for Highway Driving with Large Language Models. CoRR (2024)
Xianda Chen, Kehua Chen, Meixin Zhu, Hao Yang, Shaojie Shen, Xuesong Wang, Yinhai Wang
MetaFollower: Adaptable Personalized Autonomous Car Following. CoRR (2024)
Mingxing Peng, Xusen Guo, Xianda Chen, Meixin Zhu, Kehua Chen, Hao Yang, Xuesong Wang, Yinhai Wang
LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models. CoRR (2024)
Xianda Chen, Xu Han, Meixin Zhu, Xiaowen Chu, PakHin Tiu, Xinhu Zheng, Yinhai Wang
EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems. CoRR (2024)
Hao Frank Yang, Yang Zhao, Jiarui Cai, Meixin Zhu, Jenq-Neng Hwang, Yiran Chen
Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems. IV (2024)
Chengyuan Zhang, Kehua Chen, Meixin Zhu, Hai Yang, Lijun Sun
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression. CoRR (2024)
Xianda Chen, Meixin Zhu, PakHin Tiu, Yinhai Wang
Personalized Context-Aware Multi-Modal Transportation Recommendation. IV (2024)
Zihan Yu, Meixin Zhu, Kehua Chen, Xiaowen Chu, Xuesong Wang
LF-Net: A Learning-Based Frenet Planning Approach for Urban Autonomous Driving. IEEE Trans. Intell. Veh. 9 (1) (2024)
Meixin Zhu, Di Chen, Xinyi Yuan, Zhiwei Shang, Chenxi Liu
Learning Realistic and Reactive Traffic Agents. IV (2024)
Xianda Chen, Mingxing Peng, PakHin Tiu, Yuanfei Wu, Junjie Chen, Meixin Zhu, Xinhu Zheng
GenFollower: Enhancing Car-Following Prediction with Large Language Models. CoRR (2024)
Junyue Jiang, Hongliang Lu, Chenxi Liu, Meixin Zhu, Yiran Chen, Hao Frank Yang
Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI. IV (2024)
Yuhao Luo, Kehua Chen, Meixin Zhu
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction. CoRR (2024)
Xianda Chen, Meixin Zhu, Kehua Chen, Pengqin Wang, Hongliang Lu, Hui Zhong, Xu Han, Yinhai Wang
FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling. CoRR (2023)
Xu Han, Xianda Chen, Meixin Zhu, Pinlong Cai, Jianshan Zhou, Xiaowen Chu
EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning. CoRR (2023)
Hong Wang, Meixin Zhu, Wanshi Hong, Chieh Ross Wang, Wan Li, Gang Tao, Yinhai Wang
Network-Wide Traffic Signal Control Using Bilinear System Modeling and Adaptive Optimization. IEEE Trans. Intell. Transp. Syst. 24 (1) (2023)
Yuchuan Du, Jing Chen, Cong Zhao, Feixiong Liao, Meixin Zhu
A hierarchical framework for improving ride comfort of autonomous vehicles via deep reinforcement learning with external knowledge. Comput. Aided Civ. Infrastructure Eng. 38 (8) (2023)
Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Hao (Frank) Yang, Yifan Zhuang, Yinhai Wang
Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging. IEEE Trans. Intell. Veh. 8 (4) (2023)
Pengqin Wang, Meixin Zhu, Shaojie Shen
ENTROPY: Environment Transformer and Offline Policy Optimization. CoRR (2023)
Di Chen, Meixin Zhu, Hao Yang, Xuesong Wang, Yinhai Wang
Data-driven Traffic Simulation: A Comprehensive Review. CoRR (2023)
Huan Yu, Pengqin Wang, Jin Wang, Jialin Ji, Zhi Zheng, Jie Tu, Guodong Lu, Jun Meng, Meixin Zhu, Shaojie Shen, Fei Gao
Catch Planner: Catching High-Speed Targets in the Flight. CoRR (2023)
Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction. ITSC (2023)
Pengqin Wang, Meixin Zhu, Hongliang Lu, Hui Zhong, Xianda Chen, Shaojie Shen, Xuesong Wang, Yinhai Wang
BEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning. CoRR (2023)
Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction. CoRR (2023)
Hao Yang, Chenxi Liu, Meixin Zhu, Xuegang Ban, Yinhai Wang
How Fast You Will Drive? Predicting Speed of Customized Paths By Deep Neural Network. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Hong Wang, Meixin Zhu, Wanshi Hong, Chieh Wang, Gang Tao, Yinhai Wang
Optimizing Signal Timing Control for Large Urban Traffic Networks Using an Adaptive Linear Quadratic Regulator Control Strategy. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Hao Yang, Jiarui Cai, Meixin Zhu, Chenxi Liu, Yinhai Wang
Traffic-Informed Multi-Camera Sensing (TIMS) System Based on Vehicle Re-Identification. IEEE Trans. Intell. Transp. Syst. 23 (10) (2022)
Meixin Zhu, Simon S. Du, Xuesong Wang, Hao Yang, Ziyuan Pu, Yinhai Wang
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer. CoRR (2022)
Ziyuan Pu, Meixin Zhu, Wenxiang Li, Zhiyong Cui, Xiaoyu Guo, Yinhai Wang
Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices. IEEE Internet Things J. 8 (1) (2021)
Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Yinhai Wang
IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing. CoRR (2020)
Meixin Zhu, Jingyun Hu, Ziyuan Pu, Zhiyong Cui, Liangwu Yan, Yinhai Wang
Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment. CoRR (2019)
Ziyuan Pu, Meixin Zhu, Zhiyong Cui, Yinhai Wang
Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data. CoRR (2019)
Meixin Zhu, Yinhai Wang, Jingyun Hu, Xuesong Wang, Ruimin Ke
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving. CoRR (2019)
Meixin Zhu, Xuesong Wang, Yinhai Wang
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning. CoRR (2019)
Meixin Zhu, Jingyun Hu, Hao Yang, Ziyuan Pu, Yinhai Wang
Personalized Context-Aware Multi-Modal Transportation Recommendation. CoRR (2019)
Meixin Zhu, Xuesong Wang, Andrew P. Tarko, Shou'en Fang
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study. CoRR (2018)
Xuesong Wang, Ming Chen, Meixin Zhu, Paul Tremont
Development of a Kinematic-Based Forward Collision Warning Algorithm Using an Advanced Driving Simulator. IEEE Trans. Intell. Transp. Syst. 17 (9) (2016)