Ming Xu | Spatio-Temporal Data Mining | Best Researcher Award

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Assoc Prof Dr. Ming Xu | Spatio-Temporal Data Mining |Best Researcher Award

šŸ‘Øā€šŸ«Profile Summary

Ming Xu is an accomplished Associate Professor at Liaoning Technical University, specializing in computer science, particularly in transportation systems. With a Ph.D. from Beijing University of Posts and Telecommunications and a wealth of academic and research experience, Dr. Xu has made significant contributions to the field. He has authored numerous publications in prestigious journals and has been recognized with awards such as the World Artificial Intelligence Conference Youth Outstanding Paper Award. Dr. Xu’s expertise lies in learning to rank nodes in road networks, anomaly detection, traffic signal control, and traffic flow prediction using advanced data mining and deep learning techniques

šŸŒ Professional Profiles

 

  1. OrcidĀ  Profile

šŸ“šEducationĀ 

PhD in Computer Science Beijing University of Posts and Telecommunications Duration: September 2010 – July 2015.Ā  Master in Computer Science Shenyang Ligong University Duration: September 2005 – April 2008. Bachelor in Computer Science Liaoning Technical University Duration: September 1999 – 2003

šŸ‘Øā€šŸ’¼Professional Service

  • Guest editor of special issue of Journal of Advanced Transportation (SCI)
  • Reviewer of IEEE Trans. on ITS\Physica A\ITSC

šŸ† Awards

  • World Artificial Intelligence Conference Youth Outstanding Paper Award (2020)

šŸŽ“Academic experience

Associate Professor Software College, Liaoning Technical University Duration: October 2020 – Present. Postdoctoral position Tsinghua University Duration: February 2016 – February 2019

 

šŸ“šTop Noted Publication

    1. Title: MGL2Rank: Learning to Rank the Importance of Nodes in Road Networks Based on Multi-Graph Fusion
      • Authors: Ming Xu, Jing Zhang
      • Journal: Information Sciences
      • Status: In press
      • DOI: 10.1016/j.ins.2024.120472

     

    1. Title: Discovery of Critical Nodes in Road Networks through Mining from Vehicle Trajectories
      • Authors: Ming Xu, Jianping Wu, Mengqi Liu, Yunpeng Xiao, Haohan Wang, Dongmei Hu
      • Journal: IEEE Transactions on Intelligent Transportation Systems
      • Year: 2018
      • Volume: 20
      • Issue: 2
      • Pages: 583-593
      • Award: World Artificial Intelligence Conference Youth Outstanding Paper Award
      • Links: Award, Report

     

    1. Title: Anomaly Detection in Road Networks using Sliding-Window Tensor Factorization
      • Authors: Ming Xu, Jianping Wu, Haohan Wang, Mengxin Cao
      • Journal: IEEE Transactions on Intelligent Transportation Systems
      • Year: 2019
      • Volume: 20
      • Issue: 12
      • Pages: 4704-4713

     

    1. Title: Network-wide Traffic Signal Control based on Discovery of Critical Nodes and Deep Reinforcement Learning
      • Authors: Ming Xu, Jianping Wu, Ling Huang, Rui Zhou, Tian Wang, Dongmei Hu
      • Journal: Journal of Intelligent Transportation Systems
      • Year: 2020
      • Volume: 24
      • Issue: 1
      • Pages: 1-10

     

    1. Title: Traffic Flow Prediction with Rainfall Impact Using A Deep Learning Method
      • Authors: Yuhan Jia, Jianping Wu, Ming Xu
      • Journal: Journal of Advanced Transportation
      • Year: 2017

     

    1. Title: Charging Pile Siting Recommendations via the Fusion of Points of Interest and Vehicle Trajectories
      • Authors: Yuan Kong, Jianping Wu, Ming Xu, Kezhen Hu
      • Journal: China Communications
      • Year: 2017
      • Volume: 14
      • Issue: 11
      • Pages: 29-38

     

    1. Title: Rumor propagation dynamic model based on evolutionary game and anti-rumor
      • Authors: Yunpeng Xiao, Diqiang Chen, Shihong Wei, Qian Li, Haohan Wang, Ming Xu
      • Journal: Nonlinear Dynamics
      • Year: 2019
      • Volume: 95
      • Pages: 523-539

     

    1. Title: Leveraging longitudinal driving behaviour data with data mining techniques for driving style analysis
      • Authors: Geqi Qi, Yiman Du, Jianping Wu, Ming Xu
      • Journal: IET intelligent transport systems
      • Year: 2015
      • Volume: 9
      • Issue: 8
      • Pages: 792-801

     

    1. Title: Emission pattern mining based on taxi trajectory data in Beijing
      • Authors: Tingting Li, Jianping Wu, Anrong Dang, Lyuchao Liao, Ming Xu
      • Journal: Journal of cleaner production
      • Year: 2019
      • Volume: 206
      • Pages: 688-700

     

    1. Title: 3-HBP: A three-level hidden Bayesian link prediction model in social networks
      • Authors: Yunpeng Xiao, Xixi Li, Haohan Wang, Ming Xu, Yanbing Liu
      • Journal: IEEE Transactions on Computational Social Systems
      • Year: 2018
      • Volume: 5
      • Issue: 2
      • Pages: 430-443