Lap-Kei Lee, Keith

Assistant Professor, Department of Electronic Engineering and Computer Science
Programme Leader of BComp / BComp (Hons) in Internet Technology (DL)
Programme Leader of BSc (Hons) in Computing & Networking (DL)
Programme Leader of ASc in Information Technology (DL)
School of Science and Technology, Hong Kong Metropolitan University, Hong Kong

Email: lklee 'at' hkmu.edu.hk

Research interests

Algorithms (online job scheduling, data stream algorithms); natural language processing; educational technology; bioinformatics

Conference papers/Book chapters

  1. J. Wang, F. L. Wang, and L. K. Lee.
    A framework for diverse course recommendation based on graph attention network.
    In Doctoral Student Forum Proceedings of the 26th Global Chinese Conference on Computers in Education (GCCCE 2022), 2022 (to appear).
  2. S. F. Li, K. K. Ng, and L. K. Lee.
    Progress tracking and online learning assisted by social media tools: A case study of teaching architectural design.
    In Proceedings of the 8th International Symposium on Educational Technology (ISET), IEEE, 2022 (to appear).
  3. J. Wang, L. K. Lee, and N. I. Wu.
    Dual-channel convolutional recurrent networks for session-based recommendation.
    In Cyber Security, Privacy and Networking. Lecture Notes in Networks and Systems, vol. 370, pp. 287-296, Springer, Cham, 2022.
  4. L. K. Lee, R. P. M. Leung, and N. I. Wu.
    Reuse your old smartphone: automatic surveillance camera application.
    In Cyber Security, Privacy and Networking. Lecture Notes in Networks and Systems, vol. 370, pp. 297-308, Springer, Cham, 2022.
  5. Y. C. Fung, and L. K. Lee.
    A chatbot for promoting cybersecurity awareness.
    In Cyber Security, Privacy and Networking. Lecture Notes in Networks and Systems, vol. 370, pp. 379-387, Springer, Cham, 2022.
  6. L. K. Lee, K. T. Chui, J. Wang, and Y. C. Fung.
    The study of the dilemma on the control of Covid-19 spread and face-to-face learning and its trade-off solutions.
    In Digital Innovation for Healthcare in COVID-19 Pandemic, pp. 137-151, Academic Press, Elsevier, 2022.
  7. Y. C. Fung, L. K. Lee, K. T. Chui, G. H. K. Cheung, C. H. Tang, and S. M. Wong.
    Sentiment analysis and summarization of Facebook posts on news media.
    In Data Mining Approaches for Big Data and Sentiment Analysis in Social Media, pp. 142-154. IGI Global, 2022.
  8. L. K. Lee, K. T. Chui, J. Wang, Y. C. Fung, and Z. Tan.
    An improved cross-domain sentiment analysis based on a semi-supervised convolutional neural network.
    In Data Mining Approaches for Big Data and Sentiment Analysis in Social Media, pp. 155-170. IGI Global, 2022.
  9. L. K. Lee, Y. C. Fung, N. I. Wu, K. Y. Leung, T. K. Tsang, and C. H. Ho.
    Self-evaluation mobile application on mild cognitive impairment based on Mini–Mental State Examination with bilingual support.
    In Artificial Intelligence and Big Data Analytics for Smart Healthcare, pp. 135-144. Academic Press, Elsevier, 2021.
  10. L. K. Lee, K. T. Chui, C. M. Chiu, P. Y. Lo, S. W. Tsoi, and N. I. Wu.
    An intelligent augmented reality mobile application for heritage conservation education.
    In Proceedings of International Conference on Smart Systems and Advanced Computing (SysCom) 2021, CEUR Workshop Proceedings, vol. 3080, pp. 1-7, 2021.
  11. K. T. Chui, L. K. Lee, R. W. Liu, M. Zhao, and M. D. Lytras.
    Semi-automatic data labelling of smart meter data for electricity theft detection.
    In Proceedings of International Conference on Smart Systems and Advanced Computing (SysCom) 2021, CEUR Workshop Proceedings, vol. 3080, pp. 156-159, 2021.
  12. X. Zhu, L. P. Wong, L. K. Lee, H. Liu, and T. Hao.
    FABERT: A feature aggregation BERT-based model for document reranking.
    In Natural Language Processing and Chinese Computing. NLPCC 2021. Lecture Notes in Computer Science, vol. 13029, pp. 139-150, Springer, Cham, 2021.
  13. R. Y. K. Ng, K. K. Ng, R. Y. S. Lam, and L. K. Lee.
    A study of vocational and professional education and training (VPET) students online learning experience during the outbreak of pandemic.
    In Proceedings of the 7th International Symposium on Educational Technology (ISET), pp. 89-95, IEEE, 2021.
  14. B. Lei, W. Li, L. P. Wong, L. K. Lee, F. L. Wang, and T. Hao.
    A hybrid semantic matching model for neural collective entity linking.
    In Proceedings of the Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data. Lecture Notes in Computer Science, vol. 12859, pp. 121-134, Springer, Cham, 2021.
  15. S. F. Li, K. K. Ng, and L. K. Lee.
    A study on the application of AI experiential learning in the architecture and design courses of a Taiwan university.
    In Blended Learning: Re-thinking and Re-defining the Learning Process. ICBL 2021. Lecture Notes in Computer Science, vol. 12830, pp. 103-115, Springer, Cham, 2021.
  16. Y. C. Fung, J. C. W. Kwok, L. K. Lee, K. T. Chui, and L. H. U.
    Automatic question generation system for English reading comprehension.
    In Technology in Education: Innovations for Online Teaching and Learning. ICTE 2020. Communications in Computer and Information Science, vol. 1302, pp. 136-146, Springer, Singapore, 2020.
  17. J. Wang, H. Xie, O. T. S. Au, L. K. Lee, D. Zou, and F. L. Wang.
    Facilitating course recommendations by word2vec paradigm through social tags.
    In Technology in Education: Innovations for Online Teaching and Learning. ICTE 2020. Communications in Computer and Information Science, vol. 1302, pp. 239-247, Springer, Singapore, 2020.
  18. S. Lei, J. Li, Y. Song, Y. Shen, L. K. Lee, T. Hao.
    Leveraging neural network-based model for context classification of classroom dialogue text.
    In Technology in Education: Innovations for Online Teaching and Learning. ICTE 2020. Communications in Computer and Information Science, vol. 1302, pp. 323-336, Springer, Singapore, 2020.
  19. N. I. Wu, C. R. Huang, and L. K. Lee.
    Corpus-based comparison of verbs of separation "Qie" and "Ge".
    In Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation (PACLIC 34), pp. 329-336, ACL Anthology, 2020.
  20. J. Song, J. Hu, L. P. Wong, L. K. Lee, and T. Hao.
    A new context-aware method based on hybrid ranking for community-oriented lexical simplification.
    In Proceedings of Database Systems for Advanced Applications (DASFAA), International Workshops, pp. 80-92, Springer, 2020.
  21. S. Liao, L. P. Wong, L. K. Lee, O. Au, and T. Hao.
    Leveraging statistic and semantic features for similar question detection using fusion XGBoost.
    In Proceedings of Database Systems for Advanced Applications (DASFAA), International Workshops, pp. 106-120, Springer, 2020.
  22. L. K. Lee, Y. C. Fung, Y. W. Pun, K. K. Wong, M. T. Y. Yu, and N. I. Wu.
    Using a multiplatform chatbot as an online tutor in a university course.
    In Proceedings of the 6th International Symposium on Educational Technology (ISET), pp. 53-56, IEEE, 2020.
  23. Y. Liu, H. Liu, L. P. Wong, L. K. Lee, H. Zhang, and T. Hao.
    A hybrid neural network RBERT-C based on pre-trained RoBERTa and CNN for user intent classification.
    In Proceedings of the 1st International Conference on Neural Computing for Advanced Applications (NCAA), pp. 306-319, Springer, Cham, 2020.
  24. W. Xie, L. P. Wong, L. K. Lee, O. Au, and T. Hao.
    A semantic expansion-based joint model for answer ranking in Chinese question answering systems.
    In Proceedings of the 15th Asia Information Retrieval Societies Conference (AIRS), pp. 22-33, Springer, Cham, 2019.
  25. L. K. Lee, T. K. Cheung, L. T. Ho, W. H. Yiu, and N. I. Wu.
    Learning computational thinking through gamification and collaborative learning.
    In Proceedings of the 12th International Conference on Blended Learning (ICBL), pp. 96-104, Springer, Cham, 2019.
  26. N. I. Wu, and L. K. Lee.
    A comparison of persuasive strategies of Hong Kong and US community colleges based on move structure and metadiscourse in leader messages.
    In Proceedings of the 5th International Conference on Linguistics and Language Studies (ICLLS), pp. 339-349, CIOLHKS, 2019.
  27. L. K. Lee, C. P. Chau, K. N. Tsoi, N. L. Yang, and N. I. Wu.
    A mobile game for learning English vocabulary with augmented reality block builder.
    In Technology in Education: Pedagogical Innovations. ICTE 2019. Communications in Computer and Information Science, vol. 1048, pp. 116-128, Springer, Singapore, 2019.
  28. L. K. Lee, A. K. F. Lui, O. Au, and S. C. Ng.
    Effects of familiar faces in video modelling on learning effectiveness.
    In Proceedings of the 4th International Symposium on Educational Technology (ISET), pp. 147-151, IEEE, 2018.
  29. O. Au, R. M. H. Wong, and L. K. Lee.
    Slide-based lecture notes as a student-centered alternative to textbooks for non-native English speakers.
    In Proceedings of the 11th International Conference on Blended Learning (ICBL), pp. 188-199, Springer, Cham, 2018.
  30. S. C. Ng, L. K. Lee, A. K. Lui, K. F. Wong, W. Y. Chan, and H. H. Tam.
    A virtual clinical learning environment for nurse training.
    In Technology in Education: Innovative Solutions and Practices. ICTE 2018. Communications in Computer and Information Science, vol. 843, pp. 76-85, Springer, Singapore, 2018.
  31. L. K. Lee, C. H. Chau, C. H. Chau, and C. T. Ng.
    Using augmented reality to teach kindergarten students English vocabulary.
    In Proceedings of the 3rd International Symposium on Educational Technology (ISET), pp. 53-57, IEEE, 2017.
  32. O. Au, R. So, and L. K. Lee.
    Prior knowledge dwarfs hard work in achieving academic performance.
    In Proceedings of the 10th International Conference on Blended Learning (ICBL), pp. 139-147, Springer, Cham, 2017.
  33. L. K. Lee, O. Au, R. So, and N. I. Wu.
    Being well-prepared for regular pair-programming helps at-risk students.
    In Proceedings of the 2nd International Symposium on Educational Technology (ISET), pp. 65-68, IEEE, 2016.
  34. O. Au, R. So, and L. K. Lee.
    Attentiveness and self-studying are keys to academic performance.
    In Proceedings of the 2nd International Symposium on Educational Technology (ISET), pp. 61-64, IEEE, 2016.
  35. A. K. F. Lui, L. K. Lee, and H. W. Lau.
    Automated grading of short literal comprehension questions.
    In Technology in Education: Technology-Mediated Proactive Learning. ICTE 2015. Communications in Computer and Information Science, vol. 559, pp. 251-262, Springer, Berlin, Heidelberg, 2015.
  36. R. So, O. Au, and L. K. Lee.
    Effects of changing study partners on pair learning.
    In Proceedings of the 1st International Symposium on Educational Technology (ISET), pp. 141-144, IEEE, 2015.
  37. S. H. Chan, T. W. Lam, L. K. Lee, and J. Zhu.
    Nonclairvoyant sleep management and flow-time scheduling on multiple processors.
    In Proceedings of the 25th Annual ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), pp. 261-270, 2013.
  38. W. K. Hon, L. K. Lee, K. Sadakane, and K. Tsakalidis.
    Compressed persistent index for efficient rank/select queries.
    In Proceedings of the 13th Algorithms and Data Structures Symposium (WADS), pp. 402-414, 2013.
  39. H. L. Chan, S. H. Chan, T. W. Lam, L. K. Lee, R. Li, and C. M. Liu.
    Competitive online algorithms for multiple-machine power management and weighted flow time.
    In Proceedings of the 19th Computing: the Australasian Theory Symposium (CATS), pp. 11-20, 2013.
  40. L. K. Lee, M. Lewenstein, and Q. Zhang.
    Parikh matching in the streaming model.
    In Proceedings of the 19th International Symposium on String Processing and Information Retrieval (SPIRE), pp. 336-341, 2012.
  41. H. L. Chan, S. H. Chan, T. W. Lam, L. K. Lee, and J. Zhu.
    Non-clairvoyant weighted flow time scheduling with rejection penalty.
    In Proceedings of the 24th Annual ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), pp. 246-254, 2012.
  42. H. L. Chan, T. W. Lam, L. K. Lee, J. Pan, H. F. Ting, and Q. Zhang.
    Edit distance to monotonicity in sliding windows.
    In Proceedings of the 22nd International Symposium on Algorithms and Computation (ISAAC), pp. 564-573, 2011.
  43. S. H. Chan, T. W. Lam, L. K. Lee, C. M. Liu, and H. F. Ting.
    Sleep management on multiple machines for energy and flow time.
    In Proceedings of the 38th International Colloquium on Automata, Languages and Programming (ICALP), pp. 219-231, 2011.
  44. S. H. Chan, T. W. Lam, and L. K. Lee.
    Scheduling for weighted flow time and energy with rejection penalty.
    In Proceedings of the 28th International Symposium on Theoretical Aspects of Computer Science (STACS), pp. 392-403, 2011.
  45. S. H. Chan, T. W. Lam, and L. K. Lee.
    Non-clairvoyant speed scaling for weighted flow time.
    In Proceedings of the 18th Annual European Symposium on Algorithms (ESA), pp. 23-35, 2010.
  46. 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.
    In Proceedings of the 27th International Symposium on Theoretical Aspects of Computer Science (STACS), pp. 179-190, 2010.
  47. 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.
    In Proceedings of the 16th Computing: the Australasian Theory Symposium (CATS), pp. 3-10, 2010.
  48. H. L. Chan, T. W. Lam, L. K. Lee, and H. F. Ting.
    Approximating frequent items in asynchronous data stream over a sliding window.
    In Proceedings of the 7th Workshop on Approximation and Online Algorithms (WAOA), pp. 49-61, 2009.
  49. T. W. Lam, L. K. Lee, H. F. Ting, I. K. K. To, and P. W. H. Wong.
    Sleep with guilt and work faster to minimize flow plus energy.
    In Proceedings of the 36th International Colloquium on Automata, Languages and Programming (ICALP), pp. 665-676, 2009.
  50. H. L. Chan, J. Edmonds, T. W. Lam, L. K. Lee, A. Marchetti-Spaccamela, and K. Pruhs.
    Nonclairvoyant speed scaling for flow and energy.
    In Proceedings of the 26th International Symposium on Theoretical Aspects of Computer Science (STACS), pp. 255-264, 2009.
  51. T. W. Lam, L. K. Lee, I. K. K. To, and P. W. H. Wong.
    Speed scaling functions for flow time scheduling based on active job count.
    In Proceedings of the 16th Annual European Symposium on Algorithms (ESA), pp. 647-659, 2008.
  52. N. Bansal, H. L. Chan, T. W. Lam, and L. K. Lee.
    Scheduling for speed bounded processors.
    In Proceedings of the 35th International Colloquium on Automata, Languages and Programming (ICALP), pp. 409-420, 2008.
  53. T. W. Lam, L. K. Lee, I. K. K. To, and P. W. H. Wong.
    Competitive non-migratory scheduling for flow time and energy.
    In Proceedings of the 20th Annual ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), pp. 256-264, 2008.
  54. T. W. Lam, L. K. Lee, I. K. K. To, and P. W. H. Wong.
    Energy efficient deadline scheduling in two processor systems.
    In Proceedings of the 18th International Symposium on Algorithms and Computation (ISAAC), pp. 476-487, 2007.
  55. H. L. Chan, W. T. Chan, T. W. Lam, L. K. Lee, K. S. Mak, and P. W. H. Wong.
    Energy efficient online deadline scheduling.
    In Proceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pp. 795-804, 2007.
  56. L. K. Lee, and H. F. Ting.
    A simpler and more efficient deterministic scheme for finding frequent items over sliding windows.
    In Proceedings of the 25th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS), pp. 290-297, 2006.
  57. L. K. Lee, and H. F. Ting.
    Maintaining significant stream statistics over sliding windows.
    In Proceedings of the 17th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pp. 724-732, 2006.
  58. 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.
    In Proceedings of the 15th Australasian Conference on Information Systems (ACIS), 2004.

Journal papers

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
  15. 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.
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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.

Thesis

Edited books/volumes in book series

  1. L. K. Lee, Y. K. Hui, K. P. Mark, A. Lu, and Q. Li (Eds.).
    Proceedings of 2022 International Symposium on Educational Technology (ISET).
    22 + 307, IEEE, 2022. [ISBN 978-1-6654-8467-1]
  2. L. K. Lee, F. L. Wang, Y. Kato, Y. K. Hui, and S. Sato (Eds.).
    Proceedings of 2021 International Symposium on Educational Technology (ISET).
    23 + 289, IEEE, 2021. [ISBN 978-1-6654-2859-0]
  3. L. K. Lee, L. H. U, F. L. Wang, S. K. S. Cheung, O. Au, and K. C. Li (Eds.).
    Technology in Education: Innovations for Online Teaching and Learning.
    Communications in Computer and Information Science (CCIS), Vol. 1302, xiii + 376, Springer, 2020. [ISBN 978-9-813-34593-5]
  4. F. L. Wang, O. Au, P. Piamsa-nga, L. K. Lee, and P. Anussornnitisarn (Eds.).
    Proceedings of 2020 International Symposium on Educational Technology (ISET).
    24 + 309, IEEE, 2020. [ISBN 978-1-7281-7190-6]
  5. L. H. U, L. K. Lee, K. W. Tam, O. Au, L. P. Wong, and K. K. Ng (Eds.).
    Proceedings of the 5th International Conference on Technology in Education (ICTE).
    xi + 373, International Hybird Learning Society, 2020.
  6. S. K. S. Cheung, L. K. Lee, I. Simonova, T. Kozel, and L. F. Kwok (Eds.).
    Blended Learning: Educational Innovation for Personalized Learning.
    Lecture Notes in Computer Science (LNCS), Vol. 11546, xv + 352, Springer, 2019. [ISBN 978-3-030-21561-3]
  7. S. K. S. Cheung, J. Jiao, L. K. Lee, X. Zhang, K. C. Li, and Z. Zhan (Eds.).
    Technology in Education: Pedagogical Innovations.
    Communications in Computer and Information Science (CCIS), Vol. 1048, xiii + 314, Springer, 2019. [ISBN 978-9-811-39894-0]
  8. S. K. S. Cheung, L. F. Kwok, K. Kubota, L. K. Lee, and J. Tokito (Eds.).
    Blended Learning: Enhancing Learning Success.
    Lecture Notes in Computer Science (LNCS), Vol. 10949, xiv + 450 pages, Springer, 2018. [ISBN 978-3-319-94504-0]
  9. S. K. S. Cheung, L. F. Kwok, W. W. K. Ma, L. K. Lee, and H. H. Yang (Eds.).
    Blended Learning: New Challenges and Innovative Practices.
    Lecture Notes in Computer Science (LNCS), Vol. 10309, xiv + 490 pages, Springer, 2017. [ISBN 978-3-319-59359-3]

Edited journal special issue

  1. L. K. Lee, and S. Sato (Eds.).
    Special Issue on Towards Flexible Learning to Mitigate Emerging Risks.
    International Journal on Innovation and Learning, Inderscience (to appear).
  2. L. K. Lee, N. Paopraert, F. L. Wang, and S. K. S. Cheung (Eds.).
    Special Issue on Smart Learning Environment.
    International Journal on Innovation and Learning, vol. 31, No. 3, Inderscience, 2022.
  3. L. K. Lee, S. K. S. Cheung, and L. F. Kwok (Eds.).
    Special Issue on Trends in Learning Analytics.
    Journal of Computers in Education, Vol. 7, No. 1, Springer, 2020.

Informal papers

  1. H. L. Chan, T. W. Lam, L. K. Lee, J. Pan, H. F. Ting, and Q. Zhang.
    Edit distance to monotonicity in sliding windows.
    The 3rd Workshop on Massive Data Algorithmics (MASSIVE), 2011.
  2. 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.
    The 9th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP), 2009.

Grants

  • 2022-2025 HKMU R&D Fund (Co-I): Development of context-aware and analytics-based support for smart education, HK$ 1,374K
  • 2022-2025 UGC RMGS (Co-I): Interdisciplinary research development on smart city, HK$ 5,327K
  • 2022-2023 HKMU R&D Fund (Co-I): Smart city data collection and generation for open data repository, HK$ 938K
  • 2022-2024 RGC FDS (PI): Multimodal deep learning for rumor detection on social media, HK$ 1,249K
  • 2021-2024 UGC RMGS (Co-I): Development of personalised learning support with learning analytics, HK$ 1,661K
  • 2019-2021 OUHK R&D Funding (PI): Modeling correlation of verbs and their verbal arguments in sentences using thematic roles, HK$ 80K
  • 2019-2020 OUHK KSSPC Trust (PI): Ranking answers in community-based question answering via semantic context expansion and a la carte text feature embeddings, HK$ 98K
  • 2019 OUHK R&D Funding (PI): Development of similarity measurement for questions and answers in online community, HK$ 30K
  • 2017-2018 OUHK KSSPC Trust (Co-I): Using immersive reality in teaching fundamental nursing skills and visualizing a clinical ward environment, HK$ 100K
  • 2015-2016 OUHK R&D Funding (PI): Designing instructional videos on business etiquette: Familiar faces as a motivational factor, HK$ 24K
  • 2014-2015 OUHK R&D Funding (Co-I): Recommendation of hashtags in social networks as a marketing tool, HK$ 49K

Talks

  • Learning computational thinking through gamification and collaborative learning.
    The 12th International Conference on Blended Learning (ICBL), Hradec Kralove, Czech Republic, July 2019.
  • A mobile game for learning English vocabulary with augmented reality block builder.
    The International Conference on Technology in Education 2019 (ICTE), Guangzhou, China, March 2019.
  • Effects of familiar faces in video modelling on learning effectiveness.
    The 4th International Symposium on Educational Technology (ISET), Osaka, Japan, July 2018.
  • Using augmented reality to teach kindergarten students English vocabulary.
    The 3rd International Symposium on Educational Technology (ISET), Hong Kong, June 2017.
  • Being well-prepared for regular pair-programming helps at-risk students.
    The 2nd International Symposium on Educational Technology (ISET), Beijing, China, July 2016.
  • Edit distance to monotonicity in sliding windows.
    MADALGO Seminar, Aarhus University, Aarhus, Denmark, December 2011.
  • Scheduling for weighted flow time and energy with rejection penalty.
    The 28th International Symposium on Theoretical Aspects of Computer Science (STACS), Dortmund, Germany, March 2011.
  • Non-clairvoyant speed scaling for weighted flow time.
    The 18th Annual European Symposium on Algorithms (ESA), Liverpool, UK, September 2010.
  • Energy-efficient job scheduling.
    The 4th Workshop of Working Group "Great Road - Network of the Greater Region for Operational Research and Decision Support Systems", Saarbrücken, Germany, April 2010.
  • Continuous monitoring of distributed data streams over a time-based sliding window.
    The 27th International Symposium on Theoretical Aspects of Computer Science (STACS), Nancy, France, March 2010.
  • Speed scaling to manage flow time and energy.
    Bristol Algorithms Days 2010 Feasibility Workshop, Bristol, UK, February 2010.
  • Continuous monitoring of distributed data streams over a time-based sliding window.
    Noon Seminar, Max Planck Institute for Informatics, Saarbrücken, Germany, February 2010.
  • Sleep with guilt and work faster to minimize flow plus energy.
    The 36th International Colloquium on Automata, Languages and Programming (ICALP), Rhodes, Greece, July 2009.
  • Deadline scheduling and power management for speed bounded processors.
    The 9th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP), Abbey Rolduc, The Netherlands, June 2009.
  • Sleep with guilt and work faster to minimize flow plus energy.
    Noon Seminar, Max Planck Institute for Informatics, Saarbrücken, Germany, June 2009.
  • Continuous monitoring of distributed data streams over a time-based sliding window.
    Theory Seminar, The Hong Kong University of Science and Technology, Hong Kong, May 2009.
  • Maintaining significant stream statistics over sliding windows.
    The 17th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), Miami, US, January 2006.
  • A time- and space-optimal algorithm for Significant One's Counting over sliding windows and its application to frequency estimation.
    Departmental research seminar, The University of Hong Kong, Hong Kong, August 2005.

International Conference Chair:

  • International Symposium on Educational Technology (ISET) (Program Chair, 2021-2022; Organizing Chair, 2017, 2020; Local Arrangement Chair, 2016)
  • International Conference on Technology in Education (ICTE) (Program Chair, 2020; Organizing Chair, 2019)
  • 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)
  • International Symposium on Artificial Intelligence and Big Data (AIBD) (Program Chair, 2019)

International Conference Committee Member:

  • International Symposium on Educational Technology (ISET) (PC member, 2018-2019)
  • International Frontiers of Algorithmics Workshop (FAW) (PC member, 2018)
  • Global Chinese Conference on Computers in Education (GCCCE) (PC member, 2021-2022)

International Journal Reviewer:

  • IEEE Access, IEEE Trans. Parallel Distrib. Syst., IEEE Trans. Wireless Comm., J. Scheduling, Info. Proc. Letters, HKIE Transactions, J. Computing in Higher Education, IJIL, IJSS

International Conference Reviewer:

  • STOC, PODS, ICALP, STACS, ESA, ISAAC, WAOA, MAPSP, FAW, FSTTCS, SEA, LATA, BIBM, ICBL, ISET, ICTE, ICOIE, SSPHE, GCCCE

External Examiner:

  • 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 12 different modules (Information Technology Enrichment Modules), Vocational Training Council (2021-2023)

Executive Committee Member for Professional Bodies:

  • Chairperson, International Hybrid Learning Society (2021-Present)
  • Treasurer, Hong Kong Society for Multimedia and Image Computing (2021-Present)
  • Secretary, Hong Kong Society for Multimedia and Image Computing (2017-2021)

Recent Positions

  • Sep 2021 - Present:
    Assistant professor, Hong Kong Metropolitan University, Hong Kong.
  • Jun 2019 - Aug 2021:
    Assistant professor, The Open University of Hong Kong, Hong Kong.
  • Jan 2016 - Jun 2019:
    Lecturer, The Open University of Hong Kong, Hong Kong.
  • Sep 2013 - Jan 2016:
    Assistant lecturer, The Open University of Hong Kong, Hong Kong.
  • Apr 2012 - Sep 2013:
    Postdoctoral fellow, The University of Hong Kong, Hong Kong.
  • Apr 2011 - Mar 2012:
    Postdoctoral researcher, Center for Massive Data Algorithmics (MADALGO), Aarhus, Denmark.
  • Dec 2009 - Mar 2011:
    Postdoctoral researcher, Max Planck Institute for Informatics, Saarbrücken, Germany.
  • Jun 2009 - Dec 2009:
    Postdoctoral fellow, The University of Hong Kong, Hong Kong.

Education

  • Feb 2006 - Jun 2009:
    Ph.D. in Computer Science, The University of Hong Kong. (Advisor: Tak-Wah Lam)
  • Sep 2004 - Jan 2006:
    M.Phil. in Computer Science (transferred to Ph.D.), The University of Hong Kong. (Advisor: Hing-Fung Ting)
  • Sep 2001 - Aug 2004:
    B.Eng. (First Class Honours) in Computer Engineering, The University of Hong Kong.