Chenping Hou

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Chenping Hou

Chenping Hou

Professor (Dec. 2018 – Present)
Director of the Applied Mathematics Research Center, College of Science
National University of Defense Technology (NUDT), China

Address:Changsha, Hunan 410072, China E-mail: hcpnudt@hotmail.com
[Google Scholar] [DBLP]

Education

Dec. 2009: Ph.D. in Applied Mathematics, National University of Defense Technology, China

Research Interests

Chenping Hou's research interests lie in statistical data analysis and machine learning.

Short Bio

Chenping Hou (Member, IEEE) received the BS and PhD degrees in appliedmathematics from the National University of Defense Technology, Changsha,China, in 2004 and 2009, respectively. He is currently a full professor withthe College of Science, National University of Defense Technology. He has authored more than 100 papers in journals and conferences, such asthe IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEETransactions on Knowledge and Data Engineering, IEEE Transactions onNeural Networks and Learning Systems, IEEE Transactions on Cybernetics,IEEE Transactions on Image Processing, Pattern Recognition, IJCAI, AAAI,etc. He has been a Program Committee member of several conferencesincluding IJCAI, AAAI, etc. His current research interests include pattern recognition, machine learning, data mining, and computer vision.

Research Projects (Last 5 Years)

  • National Natural Science Foundation of China (NSFC), Young Scientists Fund (Category A)[formerly NSFC Distinguished Young Scholars Program], Grant No. 62425607

    Project Title: Adaptive Learning

    Principal Investigator (2025–2029)

  • National Natural Science Foundation of China (NSFC), Key Program, Grant No. 62136005

    Project Title: Interpretable Machine Learning Theory and Models from a Randomized Consensus Perspective

    Participant (2022–2026)

  • National Natural Science Foundation of China (NSFC), Young Scientists Fund (Category B)[formerly NSFC Excellent Young Scholars Program], Grant No. 61922087

    Project Title: Dynamic Feature Mining and Applications

    Principal Investigator (2020–2022)

  • Ministry of Science and Technology, Innovation 2030 Major Project, Subproject No. 2022ZD0114803

    Project Title: Efficient Incremental Learning for Environmental Changes

    Principal Investigator (2022–2025)

Representative Research Achievements and Academic Awards

  • Dynamic Invariant Learning Theory and Methods for Evolving Features (1st/4 contributors)

    Award: Natural Science First-Class Prize (Provincial/Ministerial Level), 2023

    Awarding Body: China Society of Image and Graphics

    Contributors: Chen-Ping Hou, Fei-Ping Nie, Hong Tao, De-Wen Hu

  • Multi-Granular Computing Theory and Methods for Big Data (3rd/5 contributors)

    Award: Natural Science First-Class Prize (Provincial/Ministerial Level), 2023

    Awarding Body: Shanxi Provincial People’s Government

    Contributors: Yu-Hua Qian, Fei-Jiang Li, Chen-Ping Hou, Qing-Hua Hu, Ji-Ye Liang

Academic Service

Associate Editor:

Pattern Recognition (PR): 2025–Present

Frontiers of Computer Science (FCS): 2022–Present

Neurocomputing: 2019–2024