Mengyun Xu

According to our database, Mengyun Xu authored at least 19 papers between 2017 and 2025.

Collaborative distances:

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

2025

A Macroscopic-Fundamental-Function-Aided Neural Networks for Traffic Flows Prediction From Mobile Signaling Data.

Jie Fang, Xiongwei Wu, Mengyun Xu, Chunping Li, Xuesong Wu, Li Li

IEEE Internet Things J., July, 2025

FairSignal: A Multiagent Reinforcement Learning Approach Considering Fairness for Multi-Intersection Traffic Signal Control.

Sibin Cai, Jie Fang, Mengyun Xu

IEEE Internet Things J., July, 2025

Freeway optimal control based on emission oriented microscopic graph convolutional neural network.

Jie Fang, Mingwen Lu, Lina Fu, Juanmeizi Wang, Mengyun Xu

Appl. Intell., April, 2025

Heterogeneous multi-modal graph network for arterial travel time prediction.

Jie Fang, Hangyu He, Mengyun Xu, Xiongwei Wu

Appl. Intell., April, 2025

XLight: An interpretable multi-agent reinforcement learning approach for traffic signal control.

Sibin Cai, Jie Fang, Mengyun Xu

Expert Syst. Appl., 2025

2024

Multistep traffic speed prediction from multiple time-scale spatiotemporal features using graph attention network.

Jie Fang, Zhichao Wu, Mengyun Xu, Hongting Chen

Appl. Intell., August, 2024

MDTGAN: Multi domain generative adversarial transfer learning network for traffic data imputation.

Jie Fang, Hangyu He, Mengyun Xu, Hongting Chen

Expert Syst. Appl., 2024

2023

Multi-Objective Traffic Signal Control Using Network-Wide Agent Coordinated Reinforcement Learning.

Jie Fang, Ya You, Mengyun Xu, Juanmeizi Wang, Sibin Cai

Expert Syst. Appl., November, 2023

Signal-control refined dynamic traffic graph model for movement-based arterial network traffic volume prediction.

Mengyun Xu, Tony Z. Qiu, Jie Fang, Hangyu He, Hongting Chen

Expert Syst. Appl., October, 2023

Internet of Vehicles Data-Oriented Arterial Travel Time Estimation Framework With Dynamic Multigraph Model.

Tony Z. Qiu, Mengyun Xu, Jie Fang

IEEE Intell. Transp. Syst. Mag., 2023

A Map-Matching Algorithm With Extraction of Multi-Group Information for Low-Frequency Data.

Jie Fang, Xiongwei Wu, DianChao Lin, Mengyun Xu, Huahua Wu, Xuesong Wu, Ting Bi

IEEE Intell. Transp. Syst. Mag., 2023

2022

An Intelligent Adaptive Spatiotemporal Graph Approach for GPS-Data-Based Travel-Time Estimation.

Mengyun Xu, Jie Fang, Yingfang Tong

IEEE Intell. Transp. Syst. Mag., 2022

A Multi-Attention Tensor Completion Network for Spatiotemporal Traffic Data Imputation.

Xuesong Wu, Mengyun Xu, Jie Fang, Xiongwei Wu

IEEE Internet Things J., 2022

2020

Learning Orientation Distributions for Object Pose Estimation.

Brian Okorn, Mengyun Xu, Martial Hebert, David Held

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

2019

Utilizing Artificial Neural Network in GPS-Equipped Probe Vehicles Data- Based Travel Time Estimation.

Mengyun Xu, Kehua Guo, Jie Fang, Zeshan Chen

IEEE Access, 2019

2018

Probabilistic pose estimation using a Bingham distribution-based linear filter.

Rangaprasad Arun Srivatsan, Mengyun Xu, Nicolas Zevallos, Howie Choset

Int. J. Robotics Res., 2018

A Real-time Augmented Reality Surgical System for Overlaying Stiffness Information.

Nicolas Zevallos, Arun Srivatsan Rangaprasad, Hadi Salman, Lu Li, Jianing Qian, Saumya Saxena, Mengyun Xu, Kartik Patath, Howie Choset

Proceedings of the Robotics: Science and Systems XIV, 2018

A surgical system for automatic registration, stiffness mapping and dynamic image overlay.

Nicolas Zevallos, Rangaprasad Arun Srivatsan, Hadi Salman, Lu Li, Jianing Qian, Saumya Saxena, Mengyun Xu, Kartik Patath, Howie Choset

Proceedings of the International Symposium on Medical Robotics, 2018

2017

Bingham Distribution-Based Linear Filter for Online Pose Estimation.

Arun Srivatsan Rangaprasad, Mengyun Xu, Nicolas Zevallos, Howie Choset

Proceedings of the Robotics: Science and Systems XIII, 2017