Meixin Zhu

According to our database, Meixin Zhu authored at least 49 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Risk-Aware Net: An Explicit Collision-Constrained Framework for Enhanced Safety Autonomous Driving.

Zihan Yu, Meixin Zhu, Xiaowen Chu

IEEE Robotics Autom. Lett., November, 2024

Data-Driven Traffic Simulation: A Comprehensive Review.

Di Chen, Meixin Zhu, Hao Yang, Xuesong Wang, Yinhai Wang

IEEE Trans. Intell. Veh., April, 2024

LF-Net: A Learning-Based Frenet Planning Approach for Urban Autonomous Driving.

Zihan Yu, Meixin Zhu, Kehua Chen, Xiaowen Chu, Xuesong Wang

IEEE Trans. Intell. Veh., January, 2024

Real-Time Multi-Task Environmental Perception System for Traffic Safety Empowered by Edge Artificial Intelligence.

Chenxi Liu, Hao (Frank) Yang, Meixin Zhu, Feilong Wang, Torgeir Vaa, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., January, 2024

Traj-Explainer: An Explainable and Robust Multi-modal Trajectory Prediction Approach.

Pei Liu, Haipeng Liu, Yiqun Li, Tianyu Shi, Meixin Zhu, Ziyuan Pu

CoRR, 2024

Preference Aligned Diffusion Planner for Quadrupedal Locomotion Control.

Xinyi Yuan, Zhiwei Shang, Zifan Wang, Chenkai Wang, Zhao Shan, Zhenchao Qi, Meixin Zhu, Chenjia Bai, Xuelong Li

CoRR, 2024

HeightFormer: A Semantic Alignment Monocular 3D Object Detection Method from Roadside Perspective.

Pei Liu, Zihao Zhang, Haipeng Liu, Nanfang Zheng, Meixin Zhu, Ziyuan Pu

CoRR, 2024

Automating Traffic Model Enhancement with AI Research Agent.

Xusen Guo, Xinxi Yang, Mingxing Peng, Hongliang Lu, Meixin Zhu, Hai Yang

CoRR, 2024

Diffusion Models for Intelligent Transportation Systems: A Survey.

Mingxing Peng, Kehua Chen, Xusen Guo, Qiming Zhang, Hongliang Lu, Hui Zhong, Di Chen, Meixin Zhu, Hai Yang

CoRR, 2024

How to predict on-road air pollution based on street view images and machine learning: a quantitative analysis of the optimal strategy.

Hui Zhong, Di Chen, Pengqin Wang, Wenrui Wang, Shaojie Shen, Yonghong Liu, Meixin Zhu

CoRR, 2024

From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving.

Xu Han, Xianda Chen, Zhenghan Cai, Pinlong Cai, Meixin Zhu, Xiaowen Chu

CoRR, 2024

EcoFollower: An Environment-Friendly Car Following Model Considering Fuel Consumption.

Hui Zhong, Xianda Chen, PakHin Tiu, Hongliang Lu, Meixin Zhu

CoRR, 2024

Continual Learning for Adaptable Car-Following in Dynamic Traffic Environments.

Xianda Chen, PakHin Tiu, Xu Han, Junjie Chen, Yuanfei Wu, Xinhu Zheng, Meixin Zhu

CoRR, 2024

GenFollower: Enhancing Car-Following Prediction with Large Language Models.

Xianda Chen, Mingxing Peng, PakHin Tiu, Yuanfei Wu, Junjie Chen, Meixin Zhu, Xinhu Zheng

CoRR, 2024

EditFollower: Tunable Car Following Models for Customizable Adaptive Cruise Control Systems.

Xianda Chen, Xu Han, Meixin Zhu, Xiaowen Chu, PakHin Tiu, Xinhu Zheng, Yinhai Wang

CoRR, 2024

MetaFollower: Adaptable Personalized Autonomous Car Following.

Xianda Chen, Kehua Chen, Meixin Zhu, Hao Yang, Shaojie Shen, Xuesong Wang, Yinhai Wang

CoRR, 2024

Generating and Evolving Reward Functions for Highway Driving with Large Language Models.

Xu Han, Qiannan Yang, Xianda Chen, Xiaowen Chu, Meixin Zhu

CoRR, 2024

Towards Responsible and Reliable Traffic Flow Prediction with Large Language Models.

Xusen Guo, Qiming Zhang, Junyue Jiang, Mingxing Peng, Hao Yang, Meixin Zhu

CoRR, 2024

LC-LLM: Explainable Lane-Change Intention and Trajectory Predictions with Large Language Models.

Mingxing Peng, Xusen Guo, Xianda Chen, Meixin Zhu, Kehua Chen, Hao Yang, Xuesong Wang, Yinhai Wang

CoRR, 2024

Learning Realistic and Reactive Traffic Agents.

Meixin Zhu, Di Chen, Xinyi Yuan, Zhiwei Shang, Chenxi Liu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression.

Chengyuan Zhang, Kehua Chen, Meixin Zhu, Hai Yang, Lijun Sun

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems.

Hao (Frank) Yang, Yang Zhao, Jiarui Cai, Meixin Zhu, Jenq-Neng Hwang, Yiran Chen

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Driving Style-aware Car-following Considering Cut-in Tendencies of Adjacent Vehicles with Inverse Reinforcement Learning.

Xiaoyun Qiu, Yue Pan, Meixin Zhu, Liuqing Yang, Xinhu Zheng

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction.

Yuhao Luo, Kehua Chen, Meixin Zhu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI.

Junyue Jiang, Hongliang Lu, Chenxi Liu, Meixin Zhu, Yiran Chen, Hao (Frank) Yang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Personalized Context-Aware Multi-Modal Transportation Recommendation.

Xianda Chen, Meixin Zhu, PakHin Tiu, Yinhai Wang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Improving Car-Following Control in Mixed Traffic: A Deep Reinforcement Learning Framework with Aggregated Human-Driven Vehicles.

Xianda Chen, PakHin Tiu, Yihuai Zhang, Meixin Zhu, Xinhu Zheng, Yinhai Wang

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

Lightweight Edge Intelligence Empowered Near-Crash Detection Towards Real-Time Vehicle Event Logging.

Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Hao (Frank) Yang, Yifan Zhuang, Yinhai Wang

IEEE Trans. Intell. Veh., April, 2023

Network-Wide Traffic Signal Control Using Bilinear System Modeling and Adaptive Optimization.

Hong Wang, Meixin Zhu, Wanshi Hong, Chieh Ross Wang, Wan Li, Gang Tao, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., January, 2023

BEVGPT: Generative Pre-trained Large Model for Autonomous Driving Prediction, Decision-Making, and Planning.

Pengqin Wang, Meixin Zhu, Hongliang Lu, Hui Zhong, Xianda Chen, Shaojie Shen, Xuesong Wang, Yinhai Wang

CoRR, 2023

EnsembleFollower: A Hybrid Car-Following Framework Based On Reinforcement Learning and Hierarchical Planning.

Xu Han, Xianda Chen, Meixin Zhu, Pinlong Cai, Jianshan Zhou, Xiaowen Chu

CoRR, 2023

FollowNet: A Comprehensive Benchmark for Car-Following Behavior Modeling.

Xianda Chen, Meixin Zhu, Kehua Chen, Pengqin Wang, Hongliang Lu, Hui Zhong, Xu Han, Yinhai Wang

CoRR, 2023

ENTROPY: Environment Transformer and Offline Policy Optimization.

Pengqin Wang, Meixin Zhu, Shaojie Shen

CoRR, 2023

Catch Planner: Catching High-Speed Targets in the Flight.

Huan Yu, Pengqin Wang, Jin Wang, Jialin Ji, Zhi Zheng, Jie Tu, Guodong Lu, Jun Meng, Meixin Zhu, Shaojie Shen, Fei Gao

CoRR, 2023

A hierarchical framework for improving ride comfort of autonomous vehicles via deep reinforcement learning with external knowledge.

Yuchuan Du, Jing Chen, Cong Zhao, Feixiong Liao, Meixin Zhu

Comput. Aided Civ. Infrastructure Eng., 2023

EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction.

Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

How Fast You Will Drive? Predicting Speed of Customized Paths By Deep Neural Network.

Hao Yang, Chenxi Liu, Meixin Zhu, Xuegang Ban, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2022

Traffic-Informed Multi-Camera Sensing (TIMS) System Based on Vehicle Re-Identification.

Hao Yang, Jiarui Cai, Meixin Zhu, Chenxi Liu, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2022

Optimizing Signal Timing Control for Large Urban Traffic Networks Using an Adaptive Linear Quadratic Regulator Control Strategy.

Hong Wang, Meixin Zhu, Wanshi Hong, Chieh Wang, Gang Tao, Yinhai Wang

IEEE Trans. Intell. Transp. Syst., 2022

TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer.

Meixin Zhu, Simon S. Du, Xuesong Wang, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang

CoRR, 2022

2021

Monitoring Public Transit Ridership Flow by Passively Sensing Wi-Fi and Bluetooth Mobile Devices.

Ziyuan Pu, Meixin Zhu, Wenxiang Li, Zhiyong Cui, Xiaoyu Guo, Yinhai Wang

IEEE Internet Things J., 2021

2020

IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing.

Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Yinhai Wang

CoRR, 2020

2019

Traffic Sign Detection and Recognition for Autonomous Driving in Virtual Simulation Environment.

Meixin Zhu, Jingyun Hu, Ziyuan Pu, Zhiyong Cui, Liangwu Yan, Yinhai Wang

CoRR, 2019

Mining Public Transit Ridership Flow and Origin-Destination Information from Wi-Fi and Bluetooth Sensing Data.

Ziyuan Pu, Meixin Zhu, Zhiyong Cui, Yinhai Wang

CoRR, 2019

Personalized Context-Aware Multi-Modal Transportation Recommendation.

Meixin Zhu, Jingyun Hu, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang

CoRR, 2019

Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving.

Meixin Zhu, Yinhai Wang, Jingyun Hu, Xuesong Wang, Ruimin Ke

CoRR, 2019

Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning.

Meixin Zhu, Xuesong Wang, Yinhai Wang

CoRR, 2019

2018

Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study.

Meixin Zhu, Xuesong Wang, Andrew P. Tarko, Shou'en Fang

CoRR, 2018

2016

Development of a Kinematic-Based Forward Collision Warning Algorithm Using an Advanced Driving Simulator.

Xuesong Wang, Ming Chen, Meixin Zhu, Paul Tremont

IEEE Trans. Intell. Transp. Syst., 2016