• 184 Citations
  • 8 h-Index
20102019

Research output per year

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Personal profile

Personal profile

Chinese Name : 潘建文

Variants : Poon, K. M. L.

Leonard Kin-Man Poon is an Assistant Professor in the Department of Mathematics and Information Technology at the Education University of Hong Kong. He received his PhD and MPhil degress in computer science and his BEng degree in electronic engineering from the Hong Kong University of Science and Technology. He has previously worked as a part-time lecturer at HKU SPACE Community College, and as a software developer at Reuters and EDS.

Research interests

Clustering, Latent variable models, Probabilistic graphical models, Machine learning

Professional information

ORCID : 0000-0002-8394-1492

Scopus ID : 53464057700

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Research Outputs

  • 184 Citations
  • 8 h-Index
  • 19 Paper
  • 11 Chapter
  • 8 Article
  • 2 Other contribution

Applying eye tracking to identify students' use of learning strategies in understanding program code

CHENG, K. S., POON, K. M., LAU, W. W. F. & ZHOU, C. R., 2019, Proceedings of the 2019 3rd International Conference on Education and Multimedia Technology. New York: ACM, p. 140-144

Research output: Chapter in Book/Report/Conference proceedingChapter

  • Extracting access patterns with hierarchical latent tree analysis: An empirical study on an undergraduate programming course

    POON, K. M., 2019, Integrated uncertainty in knowledge modelling and decision making: 7th International Symposium, IUKM 2019, Nara, Japan, March 27–29, 2019, proceedings. SEKI, H., NGUYEN, C. H., HUYNH, V-N. & INUIGUCHI, M. (eds.). Cham: Springer, p. 380-392

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Hybrid feature-based sentiment strength detection for big data applications

    RAO, Y., XIE, H., WANG, F. L., POON, K. M. & ZHU, E., 2019, Multimodal analytics for next-generation big data technologies and applications. SENG, K. P., ANG, L., LIEW, A. W-C. & GAO, J. (eds.). Cham: Springer, p. 73-91

    Research output: Chapter in Book/Report/Conference proceedingChapter

  • Learning latent superstructures in variational autoencoders for deep multidimensional clustering

    LI, X., CHEN, Z., POON, K. M. & ZHANG, N. L., May 2019

    Research output: Other contribution

  • GPU-accelerated clique tree propagation for pouch latent tree models

    POON, K. M., 2018, Network and parallel computing: 15th IFIP WG 10.3 International Conference, NPC 2018, Muroran, Japan, November 29 – December 1, 2018, Proceedings. ZHANG, F., ZHAI, J., SNIR, M., JIN, H., KASAHARA, H. & VALERO, M. (eds.). Cham: Springer, p. 90-102

    Research output: Chapter in Book/Report/Conference proceedingChapter