Staff Profile

School of Science and Technology People Key Staff Staff Profile
Dr. Lee Lap Kei Keith 李立基博士
Assistant Professor
School of Science and Technology


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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Jonathan Chiu
Marketing Director
3DP Technology Limited

Jonathan handles all external affairs include business development, patents write up and public relations. He is frequently interviewed by media and is considered a pioneer in 3D printing products.

Krutz Cheuk
Biomedical Engineer
Hong Kong Sanatorium & Hospital

After graduating from OUHK, Krutz obtained an M.Sc. in Engineering Management from CityU. He is now completing his second master degree, M.Sc. in Biomedical Engineering, at CUHK. Krutz has a wide range of working experience. He has been with Siemens, VTech, and PCCW.

Hugo Leung
Software and Hardware Engineer
Innovation Team Company Limited

Hugo Leung Wai-yin, who graduated from his four-year programme in 2015, won the Best Paper Award for his ‘intelligent pill-dispenser’ design at the Institute of Electrical and Electronics Engineering’s International Conference on Consumer Electronics – China 2015.

The pill-dispenser alerts patients via sound and LED flashes to pre-set dosage and time intervals. Unlike units currently on the market, Hugo’s design connects to any mobile phone globally. In explaining how it works, he said: ‘There are three layers in the portable pillbox. The lowest level is a controller with various devices which can be connected to mobile phones in remote locations. Patients are alerted by a sound alarm and flashes. Should they fail to follow their prescribed regime, data can be sent via SMS to relatives and friends for follow up.’ The pill-dispenser has four medicine slots, plus a back-up with a LED alert, topped by a 500ml water bottle. It took Hugo three months of research and coding to complete his design, but he feels it was worth all his time and effort.

Hugo’s public examination results were disappointing and he was at a loss about his future before enrolling at the OUHK, which he now realizes was a major turning point in his life. He is grateful for the OUHK’s learning environment, its industry links and the positive guidance and encouragement from his teachers. The University is now exploring the commercial potential of his design with a pharmaceutical company. He hopes that this will benefit the elderly and chronically ill, as well as the society at large.

Soon after completing his studies, Hugo joined an automation technology company as an assistant engineer. He is responsible for the design and development of automation devices. The target is to minimize human labor and increase the quality of products. He is developing products which are used in various sections, including healthcare, manufacturing and consumer electronics.

Course Code Title Credits
  COMP S321F Advanced Database and Data Warehousing 5
  COMP S333F Advanced Programming and AI Algorithms 5
  COMP S351F Software Project Management 5
  COMP S362F Concurrent and Network Programming 5
  COMP S363F Distributed Systems and Parallel Computing 5
  COMP S382F Data Mining and Analytics 5
  COMP S390F Creative Programming for Games 5
  COMP S492F Machine Learning 5
  ELEC S305F Computer Networking 5
  ELEC S348F IOT Security 5
  ELEC S371F Digital Forensics 5
  ELEC S431F Blockchain Technologies 5
  ELEC S425F Computer and Network Security 5
 Course CodeTitleCredits
 ELEC S201FBasic Electronics5
 IT S290FHuman Computer Interaction & User Experience Design5
 STAT S251FStatistical Data Analysis5
 Course CodeTitleCredits
 COMPS333FAdvanced Programming and AI Algorithms5
 COMPS362FConcurrent and Network Programming5
 COMPS363FDistributed Systems and Parallel Computing5
 COMPS380FWeb Applications: Design and Development5
 COMPS381FServer-side Technologies and Cloud Computing5
 COMPS382FData Mining and Analytics5
 COMPS390FCreative Programming for Games5
 COMPS413FApplication Design and Development for Mobile Devices5
 COMPS492FMachine Learning5
 ELECS305FComputer Networking5
 ELECS363FAdvanced Computer Design5
 ELECS425FComputer and Network Security5