Staff Profile

Biography

Keith Lap-Kei Lee obtained his BEng (with First Class Honours) in Computer Engineering and PhD (Computer Science) from the University of Hong Kong. Before joining HKMU, he worked as a postdoctoral researcher in the Max Planck Institute for Informatics (MPI) at Germany, the Center for Massive Data Algorithmics (MADALGO) at Denmark, and the HKU-BGI Bioinformatics Algorithms and Core Technology Research Laboratory (BAL) at Hong Kong, respectively.

Teaching Areas & Research Interests

• Algorithms
• Natural language processing
• Educational technology
• Bioinformatics

Selected Publications

Journal Articles

• J. Wang, H. Xie, F. L. Wang, and L. K. Lee. A Transformer-convolution model for enhanced session-based recommendation. Neurocomputing, 531:21-33, 2023.
• Y. C. Fung, L. K. Lee, and K. T. Chui. An automatic question generator for Chinese comprehension. Inventions, 8(1):31, 2023.
• L. Kohnke, M. Jiang, D. Zou, N. I. Wu, and L. K. Lee. Primary pre-service teachers' beliefs about developing future-ready learners: A qualitative inquiry in Hong Kong. Asia Pacific Journal of Education (to appear).
• J. Wang, H. Xie, F. L. Wang, and L. K. Lee. Improving text classifcation via a soft dynamical label strategy. International Journal of Machine Learning and Cybernetics, 2023.
• H. Lin, P. Zhang, J. Ling, Z. Yang, L. K. Lee, and W. Liu. PS-Mixer: a polar-vector and strength-vector mixer model for multimodal sentiment analysis. Information Processing & Management, 60(2):103229, 2023.
• J. Wang, H. Xie, F. L. Wang, L. K. Lee, and M. Wei. Jointly modeling intra-and inter-session dependencies with graph neural networks for session-based recommendations. Information Processing & Management, 60(2):103209, 2023.
• L. K. Lee, T. K. Cheung, L. T. Ho, W. H. Yiu, and N. I. Wu. A cross-platform game for learning computational thinking with the support of collaborative learning. International Journal of Innovation and Learning, 30(3):334-357, 2021.
• J. Wang, O. T. S. Au, and L. K. Lee. Intention-aware for session-based recommendation with multi-channel network. Journal of Literature and Art Studies, 11(3):196-204, 2021.
• J. Wang, H. Xie, F. L. Wang, L. K. Lee, and O. T. S. Au. Top-N personalized recommendation with graph neural networks in MOOCs. Computers and Education: Artificial Intelligence, vol. 2, Article ID 100010, 2021.
• D. Zou, M. Wang, H. Xie, G. Cheng, F. L. Wang, and L. K. Lee. A comparative study on linguistic theories for modeling EFL learners: facilitating personalized vocabulary learning via task recommendations. Interactive Learning Environments, 29(2):270-282, 2021.
• H. Liu, Y. Liu, L. P. Wong, L. K. Lee, T. Hao. A hybrid neural network BERT-Cap based on pre-trained language model and capsule network for user intent classification. Complexity, vol. 2020, Article ID 8858852, 11 pages, 2020.
• L. K. Lee, A. K. F. Lui, O. Au, S. C. Ng, and N. I. Wu. Teaching and learning with video modelling: Production with limited budget and influence of familiar faces on learning effectiveness. International Journal of Innovation and Learning, 27(4):364-380, 2020.
• S. C. Ng, L. K. Lee, A. K. Lui, K. F. Wong, W. Y. Chan, and H. H. Tam. Using immersive reality in training nursing students. International Journal of Innovation and Learning, 27(3):324-343, 2020.
• L. K. Lee, S. K. S. Cheung, and L. F. Kwok. Learning analytics: current trends and innovative practices. Journal of Computers in Education, 7(1):1–6, 2020.
• L. K. Lee, C. H. Chau, C. H. Chau, C. T. Ng, J. H. Hu, C. Y. Wong, L. C. Yu, and N. I. Wu. Improving the experience of teaching and learning kindergarten-level English vocabulary using augmented reality. International Journal of Innovation and Learning, 25(2):110-125, 2019.
• R. Luo, Y. L. Wong, W. C. Law, L. K. Lee, J. Cheung, C. M. Liu, and T. W. Lam. BALSA: integrated secondary analysis for whole-genome and whole-exome sequencing, accelerated by GPU. PeerJ, 2:e421, 2014.
• R. Luo, T. Wong, J. Zhu, C. M. Liu, X. Zhu, E. Wu, L. K. Lee, H. Lin, W. Zhu, D. Cheung, H. F. Ting, S. M. Yiu, S. Peng, C. Yu, Y. Li, R. Li, and T. W. Lam. SOAP3-dp: Fast, accurate and sensitive GPU-based short read aligner. PLoS ONE, 8(5):e65632, 2013.
• T. W. Lam, L. K. Lee, I. K. K. To, and P. W. H. Wong. Online speed scaling based on active job count to minimize flow plus energy. Algorithmica, 65(3):605-633, 2013.
• S. H. Chan, T. W. Lam, and L. K. Lee. Scheduling for weighted flow time and energy with rejection penalty. Theoretical Computer Science, 470:93-104, 2013.
• H. L. Chan, T. W. Lam, L. K. Lee, and H. F. Ting. Continuous monitoring of distributed data streams over a time-based sliding window. Algorithmica, 62(3-4):1088-1111, 2012.
• T. W. Lam, L. K. Lee, I. K. K. To, and P. W. H. Wong. Improved multi-processor scheduling for flow time and energy. Journal of Scheduling, 15(1):105-116, 2012.
• H. F. Ting, L. K. Lee, H. L. Chan, and T. W. Lam. Approximating frequent items in asynchronous data stream over a sliding window. Algorithms, 4(3):200-222, 2011.
• S. H. Chan, T. W. Lam, L. K. Lee, H. F. Ting, and P. Zhang. Non-clairvoyant scheduling for weighted flow time and energy on speed bounded processors. Chicago Journal of Theoretical Computer Science (Special issue for CATS 2010), 2011-1, 2011.
• H. L. Chan, J. Edmonds, T. W. Lam, L. K. Lee, A. Marchetti-Spaccamela, and K. Pruhs. Nonclairvoyant speed scaling for flow and energy. Algorithmica, 61(3):507-517, 2011.
• X. Han, T. W. Lam, L. K. Lee, I. K. K. To, and P. W. H. Wong. Deadline scheduling and power management for speed bounded processors. Theoretical Computer Science, 411(40-42):3587-3600, 2010.
• R. Y. S. Hung, L. K. Lee, and H. F. Ting. Finding frequent items over sliding windows with constant update time. Information Processing Letters, 110(7):257-260, 2010.
• H. L. Chan, J. W. T. Chan, T. W. Lam, L. K. Lee, K. S. Mak, and P. W. H. Wong. Optimizing throughput and energy in online deadline scheduling. ACM Transactions on Algorithms, 6(1):10, 2009.
• T. W. Lam, L. K. Lee, I. K. K. To, and P. W. H. Wong. Non-migratory multi-processor scheduling for response time and energy. IEEE Transactions on Parallel and Distributed Systems (Special issue on power-aware parallel and distributed systems), 19(11):1527-1539, 2008.
• S. M. Yiu, S. W. Yiu, L. K. Lee, E. K. Y. Li, and M. C. L. Yip. Sharing and access right delegation for confidential documents: a practical solution. Information and Management, 43(5):607-616, 2006.

Selected Professional & Community Services

• International Symposium on Educational Technology (ISET) (Program Chair, 2021-2023; Organizing Chair, 2017, 2020; Local Arrangement Chair, 2016)
• International Conference on Technology in Education (ICTE) (Program Chair, 2020; Organizing Chair, 2019, 2023)
• International Conference on Blended Learning (ICBL) (Program Chair, 2018-2019; Organizing Chair, 2017; Local Arrangement Chair, 2016)
• International Conference on Neural Computing for Advanced Applications (NCAA) (Track Chair, 2020-2021)
• Asia Information Retrieval Societies Conference (AIRS) (Local Arrangement Chair, 2019)
• Subject external examiner, General Education - Information Technology & Digital Media Applications for the Bachelor Programme, Hong Kong Nang Yan College of Higher Education (2020-2022)
• External examiner for the programme HD in Software Engineering, Vocational Training Council (2021-2023)
• External module examiner for Information Technology Enrichment Modules, Vocational Training Council (2021-2023)
• Chairperson, International Hybrid Learning Society (2021-Present)
• Treasurer, Hong Kong Society for Multimedia and Image Computing (2021-Present)

Further Information

Link to personal homepage

Link to Google Scholar page

Modified Date: 23 Mar, 2023
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