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ORCIDMeixin Zhu
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2020 – today
- 2024
[j11]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): 517-531 (2024)- [j10]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): 1175-1188 (2024) - [j9]Di Chen, Meixin Zhu, Hao Yang, Xuesong Wang, Yinhai Wang:
Data-Driven Traffic Simulation: A Comprehensive Review. IEEE Trans. Intell. Veh. 9(4): 4730-4748 (2024) - [c9]Yuhao Luo, Kehua Chen, Meixin Zhu:
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction. IV 2024: 370-375 - [c8]Chengyuan Zhang, Kehua Chen, Meixin Zhu, Hai Yang, Lijun Sun:
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression. IV 2024: 608-613 - [c7]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: 627-632 - [c6]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: 633-638 - [c5]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: 645-650 - [c4]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: 1329-1336 - [c3]Meixin Zhu, Di Chen, Xinyi Yuan, Zhiwei Shang, Chenxi Liu:
Learning Realistic and Reactive Traffic Agents. IV 2024: 2491-2496 - [c2]Xianda Chen, Meixin Zhu, PakHin Tiu, Yinhai Wang:
Personalized Context-Aware Multi-Modal Transportation Recommendation. IV 2024: 3276-3281 - [i29]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 abs/2403.18344 (2024) - [i28]Xusen Guo, Qiming Zhang, Junyue Jiang, Mingxing Peng, Hao Yang, Meixin Zhu:
Towards Responsible and Reliable Traffic Flow Prediction with Large Language Models. CoRR abs/2404.02937 (2024) - [i27]Yuhao Luo, Kehua Chen, Meixin Zhu:
GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction. CoRR abs/2404.08004 (2024) - [i26]Chengyuan Zhang, Kehua Chen, Meixin Zhu, Hai Yang, Lijun Sun:
Learning Car-Following Behaviors Using Bayesian Matrix Normal Mixture Regression. CoRR abs/2404.16023 (2024) - [i25]Xu Han, Qiannan Yang, Xianda Chen, Xiaowen Chu, Meixin Zhu:
Generating and Evolving Reward Functions for Highway Driving with Large Language Models. CoRR abs/2406.10540 (2024) - [i24]Xianda Chen, Kehua Chen, Meixin Zhu, Hao Yang, Shaojie Shen, Xuesong Wang, Yinhai Wang:
MetaFollower: Adaptable Personalized Autonomous Car Following. CoRR abs/2406.16978 (2024) - [i23]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 abs/2407.02516 (2024) - [i22]Xianda Chen, Mingxing Peng, PakHin Tiu, Yuanfei Wu, Junjie Chen, Meixin Zhu, Xinhu Zheng:
GenFollower: Enhancing Car-Following Prediction with Large Language Models. CoRR abs/2407.05611 (2024) - [i21]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 abs/2407.14247 (2024) - [i20]Hui Zhong, Xianda Chen, PakHin Tiu, Hongliang Lu, Meixin Zhu:
EcoFollower: An Environment-Friendly Car Following Model Considering Fuel Consumption. CoRR abs/2408.03950 (2024) - [i19]Xu Han, Xianda Chen, Zhenghan Cai, Pinlong Cai, Meixin Zhu, Xiaowen Chu:
From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous Driving. CoRR abs/2409.11694 (2024) - [i18]Hui Zhong, Di Chen, Pengqin Wang, Wenrui Wang, Shaojie Shen, Yonghong Liu, Meixin Zhu:
How to predict on-road air pollution based on street view images and machine learning: a quantitative analysis of the optimal strategy. CoRR abs/2409.12412 (2024) - [i17]Mingxing Peng, Kehua Chen, Xusen Guo, Qiming Zhang, Hongliang Lu, Hui Zhong, Di Chen, Meixin Zhu, Hai Yang:
Diffusion Models for Intelligent Transportation Systems: A Survey. CoRR abs/2409.15816 (2024) - [i16]Xusen Guo, Xinxi Yang, Mingxing Peng, Hongliang Lu, Meixin Zhu, Hai Yang:
Automating Traffic Model Enhancement with AI Research Agent. CoRR abs/2409.16876 (2024) - 2023
- [j8]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): 1059-1078 (2023) - [j7]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): 79-91 (2023) - [j6]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): 2737-2747 (2023) - [c1]Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang:
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction. ITSC 2023: 746-751 - [i15]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 abs/2302.04387 (2023) - [i14]Pengqin Wang, Meixin Zhu, Shaojie Shen:
ENTROPY: Environment Transformer and Offline Policy Optimization. CoRR abs/2303.03811 (2023) - [i13]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 abs/2306.05381 (2023) - [i12]Kehua Chen, Xianda Chen, Zihan Yu, Meixin Zhu, Hai Yang:
EquiDiff: A Conditional Equivariant Diffusion Model For Trajectory Prediction. CoRR abs/2308.06564 (2023) - [i11]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 abs/2308.16008 (2023) - [i10]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 abs/2310.10357 (2023) - [i9]Di Chen, Meixin Zhu, Hao Yang, Xuesong Wang, Yinhai Wang:
Data-driven Traffic Simulation: A Comprehensive Review. CoRR abs/2310.15975 (2023) - 2022
- [j5]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): 333-343 (2022) - [j4]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): 2045-2055 (2022) - [j3]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): 17189-17200 (2022) - [i8]Meixin Zhu, Simon S. Du, Xuesong Wang, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang:
TransFollower: Long-Sequence Car-Following Trajectory Prediction through Transformer. CoRR abs/2202.03183 (2022) - 2021
- [j2]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): 474-486 (2021) - 2020
- [i7]Ruimin Ke, Zhiyong Cui, Yanlong Chen, Meixin Zhu, Yinhai Wang:
IoT System for Real-Time Near-Crash Detection for Automated Vehicle Testing. CoRR abs/2008.00549 (2020)
2010 – 2019
- 2019
- [i6]Meixin Zhu, Xuesong Wang, Yinhai Wang:
Human-Like Autonomous Car-Following Model with Deep Reinforcement Learning. CoRR abs/1901.00569 (2019) - [i5]Meixin Zhu, Yinhai Wang, Jingyun Hu, Xuesong Wang, Ruimin Ke:
Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Driving. CoRR abs/1902.00089 (2019) - [i4]Meixin Zhu, Jingyun Hu, Hao (Frank) Yang, Ziyuan Pu, Yinhai Wang:
Personalized Context-Aware Multi-Modal Transportation Recommendation. CoRR abs/1910.12601 (2019) - [i3]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 abs/1911.01282 (2019) - [i2]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 abs/1911.05626 (2019) - 2018
- [i1]Meixin Zhu, Xuesong Wang, Andrew P. Tarko, Shou'en Fang:
Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study. CoRR abs/1811.06395 (2018) - 2016
- [j1]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): 2583-2591 (2016)
Coauthor Index
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