Bingham Distribution-Based Linear Filter for Online Pose Estimation. - Arun Srivatsan Rangaprasad; Mengyun Xu; Nicolas Zevallos; Howie Choset (Robotics: Science and Systems, 2017)

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 (ISMR, 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 (Robotics: Science and Systems, 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)

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)

Learning Orientation Distributions for Object Pose Estimation. - Brian Okorn; Mengyun Xu; Martial Hebert; David Held (IROS, 2020)

A Multi-Attention Tensor Completion Network for Spatiotemporal Traffic Data Imputation. - Xuesong Wu 004; Mengyun Xu; Jie Fang; Xiongwei Wu (IEEE Internet Things J., 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 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 004; Ting Bi (IEEE Intell. Transp. Syst. Mag., 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)

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., 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., 2023)

MDTGAN: Multi domain generative adversarial transfer learning network for traffic data imputation. - Jie Fang; Hangyu He; Mengyun Xu; Hongting Chen (Expert Syst. Appl., 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., 2024)

XLight: An interpretable multi-agent reinforcement learning approach for traffic signal control. - Sibin Cai; Jie Fang; Mengyun Xu (Expert Syst. Appl., 2025)

Heterogeneous multi-modal graph network for arterial travel time prediction. - Jie Fang; Hangyu He; Mengyun Xu; Xiongwei Wu (Appl. Intell., 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., 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., 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 004; Li Li 082 (IEEE Internet Things J., 2025)