Jianhang Zhou (Ph.D.)

Jianhang Zhou (Ph.D.)

Postdoctoral Research Fellow @ Osaka University

Welcome to Jianhang Zhou (Rich)`s home page!

About me

Hello everyone. Nice to see you on my personal homepage. I am Jianhang Zhou, you can also call me Rich as my short time. I was born in Shanghai, and have multiple research experiences in different institutions/regions. I am currently a postdoctoral research fellow in Osaka University. In 2023, I obtained my Ph.D. degree in computer science from the University of Macau. I also have visiting research experience at the Chinese University of Hong Kong (CUHK), Shenzhen. I generally work on the area of machine learning and my specific research interest includes sparse learning, subspace learning, and medical biometrics. Recently, I also have related experience in developing methodology/algorithm/system of cybernetics avatar (supported by the JST Moonshot project). For my daily life, I like hiking, travel, coffee time, and anything fresh & interesting. I am fond of collaborating with others who have diffferent research directions/subjects from me (e.g., medicine science, brain science, etc.). If you have some interest in working/collaborating with me, you are always welcome! ;)

Academic position

  • Post-doctoral Research Fellow, Osaka University, 2024.

Education

  • Ph.D. in Computer Science, University of Macau, 2020-2023.
  • M.S. in Computer Science, University of Macau, 2018-2020.
  • B.Eng. in Computer Science & Technology, Nanjing Forestry University, 2014-2018.

Research Interests

  • Sparse representation; Subspace learning; Graph learning; Medical biometrics;

Selected Publications

  • Zhou, J., Li, S., Zeng, S., & Zhang, B. (2024). Probabilistic Nuclear-Norm Matrix Regression Regularized by Random Graph Theory. IEEE Transactions on Emerging Topics in Computational Intelligence.
  • Zhou, J., Zhang, Q., Zeng, S., Zhang, B., & Fang, L. (2024). Latent Linear Discriminant Analysis for feature extraction via Isometric Structural Learning. Pattern Recognition, 149, 110218.
  • Zhou, J., Wang, G., Zeng, S., & Zhang, B. (2023). Learning with Euler Collaborative Representation for Robust Pattern Analysis. ACM Transactions on Intelligent Systems and Technology. 109, 1-25.
  • Zhou, J., Zhang, B., & Zeng, S. (2022). Consensus Sparsity: Multi-context Sparse Image Representation via $L_{\infty}$-induced Matrix Variate. IEEE Transactions on Image Processing. 32, 603-616.
  • Zhou, J., Zhang, Q., Zeng, S., & Zhang, B. (2022). Fuzzy Graph Subspace Convolutional Network. IEEE Transactions on Neural Networks and Learning Systems. [paper]
  • Zhou, J., Zhang, B., Zeng, S., & Lai, Q. (2021). Joint Discriminative Latent Subspace Learning for Image Classification. IEEE Transactions on Circuits and Systems for Video Technology. [paper]
  • Zhou, J., Zeng, S., & Zhang, B. (2021). Sparsity-Induced Graph Convolutional Network for Semisupervised Learning. IEEE Transactions on Artificial Intelligence, 2(6), 549-563. [paper]
  • Zhou, J., Zeng, S., & Zhang, B. (2020). Two-stage knowledge transfer framework for image classification. Pattern Recognition, 107, 107529. [paper]
  • Zhou, J., Zeng, S., & Zhang, B. (2022). Learning salient self-representation for image recognition via orthogonal transformation. Expert Systems with Applications 212, 212, 118663. [paper]
  • Zhou, J., Zhang, Q., & Zhang, B. (2021). An automatic multi-view disease detection system via collective deep region-based feature representation. Future Generation Computer Systems, 115, 59-75. [paper]
  • Zhou, J., Zeng, S., & Zhang, B. (2022). Kernel nonnegative representation-based classifier. Applied Intelligence, 52(2), 2269-2289. [paper]
  • Zhou, J., Zhang, Q., & Zhang, B. (2021). Two-phase non-invasive multi-disease detection via sublingual region. Computers in Biology and Medicine, 137, 104782. [paper]
  • Zhang, B., & Zhou, J. (2021). Multi-feature representation for burn depth classification via burn images. Artificial Intelligence in Medicine, 118, 102128. [paper]
  • Zhou, J., Zhang, Q., & Zhang, B. (2020, September). A progressive stack face-based network for detecting diabetes mellitus and breast cancer. In 2020 IEEE International Joint Conference on Biometrics (IJCB) (pp. 1-9). IEEE. [paper]
  • Zhou, J., Zeng, S., & Zhang, B. (2021). Subspace-level dictionary fusion for robust multimedia classification. Multimedia Tools and Applications, 80(14), 21885-21898. [paper]
  • Zhou, J., Zhang, Q., Zhang, B., & Chen, X. (2019). TongueNet: a precise and fast tongue segmentation system using U-Net with a morphological processing layer. Applied Sciences, 9(15), 3128. [paper]
  • Zhou, J., & Zhang, B. (2019). Collaborative representation using non-negative samples for image classification. Sensors, 19(11), 2609. [paper]
  • For the full publication list and more details, plese kindly refer to the ‘Publication’ section, Thanks!

News

  • [08/2024] [Call for Paper] Mathematics (Q1, IF: 2.4) special issue on “Advanced Image Processing and Computational Intelligence: Methodologies and Applications”. Deadline: 20 June 2025.
  • [02/2024] From this month, I joined the Yagi Lab @ Osaka University as the Postdoctoral Research Fellow 🤩.
  • [12/2023] I visited CUHK-SZ as visiting scholar.
  • [10/2023] I have obtained my doctoral degree! 🥰.
  • [10/12/2022] A paper has been accepted by IEEE Transactions on Image Processing ;).
  • [30/09/2022] A paper has been accepted by IEEE Transactions on Neural Networks and Learning Systems.
  • [26/08/2022] Cheers! A paper has been accepted by Expert Systems with Applications.
  • [26/04/2022] Cheers! With passing the thesis proposal assessment, I have become a PhD candidate now!
  • [28/01/2022] I worked as a research assisstant at the Chinese University of Hong Kong, Shenzhen (CUHK-SZ) from today.
  • [03/11/2021] A paper has been accepted by IEEE Transactions on Circuits and Systems for Video Technology.

Working experience

  • Teaching Assistant 2018-2023
    • University of Macau
    • Course teaching: Formal Languages and Automata, Introduction to Computer Science
  • Research Assistant 2022-2024
    • The Chinese University of Hong Kong, Shenzhen (CUHKSZ)
    • Research topic: Image processing, medical biometrics
  • Visiting PhD student 2023
    • University of Electronic Science and Technology of China (Huzhou Institute)
    • Research topic: Sparse representation, image segmentation
  • IT Intern 2017
    • THERMO FISHER SCIENTIFIC CO.,LTD
    • Duties included: Maintain the business data on ERP system, Administration of electronic accounts system of staffs, Salesforce manual editing
  • NLP Android developer 2017.10-2018.01
    • CERTUSNET INC.
    • Duties included: Android programming, test and maintenance, Natural Language Processing Corpus processing and training, Salesforce manual editing

Academic activity

  • Reviewer
    • IEEE Transactions on Neural Networks and Learning Systems
    • Expert Systems With Applications
    • Artificial Intelligence Review
  • Guest Editor
    • Mathematics

Certificates and Awards

Position in campus