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  • Dr. Lee Lap Kei 李立基博士

    BEng HKU, PhD HKU
    MIEEE
    Assistant Professor
    School of Science and Technology
    Tel: 27686024

    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, 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

    • Program chair: International Symposium on Educational Technology (ISET) 2021, International Conference on Technology in Education (ICTE) 2020, International Symposium on Artificial Intelligence and Big Data (AIBD) 2019, International Conference on Blended Learning (ICBL) 2018-2019
    • Organizing chair: ISET 2020, ICTE 2019, ICBL 2017, ISET 2017
    • Local arrangement chair: Asia Information Retrieval Societies Conference (AIRS) 2019, ICBL 2016, ISET 2016
    • Track chair: International Conference on Neural Computing for Advanced Applications (NCAA) 2020-2021
    • PC member: International Frontiers of Algorithmics Workshop (FAW) 2018, ISET 2018-2020
    • Journal paper reviewer: Applied Sciences, IEEE Access, IEEE Trans. Parallel Distrib. Syst., IEEE Trans. Wireless Comm., J. Scheduling, Info. Proc. Letters, HKIE Transactions, J. Computing in Higher Education, IJIL, IJSSLetters, HKIE Transactions, J. Computing in Higher Education, IJIL, IJSS
    • Conference paper reviewer: STOC, PODS, ICALP, STACS, ESA, ISAAC, WAOA, MAPSP, FAW, FSTTCS, SEA, LATA, BIBM, ICBL, ISET, ICTE, ICOIE, SSPHE

    Further Information

    Link to personal homepage

    Link to Google Scholar page

    Modified Date: Feb 01, 2022
    Edit Profile

    Home > People > Dr. Lee Lap Kei 李立基博士

    Dr. Lee Lap Kei 李立基博士

    BEng HKU, PhD HKU
    MIEEE

    Assistant Professor
    School of Science and Technology

    Email: lklee@hkmu.edu.hk
    Tel: 27686024

    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, 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

    • Program chair: International Symposium on Educational Technology (ISET) 2021, International Conference on Technology in Education (ICTE) 2020, International Symposium on Artificial Intelligence and Big Data (AIBD) 2019, International Conference on Blended Learning (ICBL) 2018-2019
    • Organizing chair: ISET 2020, ICTE 2019, ICBL 2017, ISET 2017
    • Local arrangement chair: Asia Information Retrieval Societies Conference (AIRS) 2019, ICBL 2016, ISET 2016
    • Track chair: International Conference on Neural Computing for Advanced Applications (NCAA) 2020-2021
    • PC member: International Frontiers of Algorithmics Workshop (FAW) 2018, ISET 2018-2020
    • Journal paper reviewer: Applied Sciences, IEEE Access, IEEE Trans. Parallel Distrib. Syst., IEEE Trans. Wireless Comm., J. Scheduling, Info. Proc. Letters, HKIE Transactions, J. Computing in Higher Education, IJIL, IJSSLetters, HKIE Transactions, J. Computing in Higher Education, IJIL, IJSS
    • Conference paper reviewer: STOC, PODS, ICALP, STACS, ESA, ISAAC, WAOA, MAPSP, FAW, FSTTCS, SEA, LATA, BIBM, ICBL, ISET, ICTE, ICOIE, SSPHE

    Further Information

    Link to personal homepage

    Link to Google Scholar page

    Modified Date: Feb 01, 2022
    Edit Profile

     
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