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Lap-Kei Lee
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Books and Theses
- 2009
- [b1]Lap-Kei Lee:
New results on online job scheduling and data stream algorithms. University of Hong Kong, 2009
Journal Articles
- 2023
- [j21]Yong Li, Qihao Yang, Fu Lee Wang, Lap-Kei Lee, Yingying Qu, Tianyong Hao:
Asymmetric cross-modal attention network with multimodal augmented mixup for medical visual question answering. Artif. Intell. Medicine 144: 102667 (2023) - [j20]Jingjing Wang, Haoran Xie, Fu Lee Wang, Lap-Kei Lee:
A transformer-convolution model for enhanced session-based recommendation. Neurocomputing 531: 21-33 (2023) - [j19]Yicong Liang, Lap-Kei Lee:
A Systematic Review of Citation Recommendation Over the Past Two Decades. Int. J. Semantic Web Inf. Syst. 19(1): 1-22 (2023) - [j18]Jingjing Wang, Haoran Xie, Fu Lee Wang, Lap-Kei Lee, Mingqiang Wei:
Jointly modeling intra- and inter-session dependencies with graph neural networks for session-based recommendations. Inf. Process. Manag. 60(2): 103209 (2023) - [j17]Han Lin, Pinglu Zhang, Jiading Ling, Zhenguo Yang, Lap-Kei Lee, Wenyin Liu:
PS-Mixer: A Polar-Vector and Strength-Vector Mixer Model for Multimodal Sentiment Analysis. Inf. Process. Manag. 60(2): 103229 (2023) - [j16]Jing-jing Wang, Haoran Xie, Fu Lee Wang, Lap-Kei Lee:
Improving text classification via a soft dynamical label strategy. Int. J. Mach. Learn. Cybern. 14(7): 2395-2405 (2023) - 2021
- [j15]Jingjing Wang, Haoran Xie, Fu Lee Wang, Lap-Kei Lee, Oliver Tat Sheung Au:
Top-N personalized recommendation with graph neural networks in MOOCs. Comput. Educ. Artif. Intell. 2: 100010 (2021) - [j14]Di Zou, Minhong Wang, Haoran Xie, Gary Cheng, Fu Lee Wang, Lap-Kei Lee:
A comparative study on linguistic theories for modeling EFL learners: facilitating personalized vocabulary learning via task recommendations. Interact. Learn. Environ. 29(2): 270-282 (2021) - 2020
- [j13]Hai Liu, Yuanxia Liu, Leung-Pun Wong, Lap-Kei Lee, Tianyong Hao:
A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification. Complex. 2020: 8858852:1-8858852:11 (2020) - 2013
- [j12]Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prudence W. H. Wong:
Online Speed Scaling Based on Active Job Count to Minimize Flow Plus Energy. Algorithmica 65(3): 605-633 (2013) - [j11]Sze-Hang Chan, Tak Wah Lam, Lap-Kei Lee:
Scheduling for weighted flow time and energy with rejection penalty. Theor. Comput. Sci. 470: 93-104 (2013) - 2012
- [j10]Ho-Leung Chan, Tak Wah Lam, Lap-Kei Lee, Hing-Fung Ting:
Continuous Monitoring of Distributed Data Streams over a Time-Based Sliding Window. Algorithmica 62(3-4): 1088-1111 (2012) - [j9]Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prudence W. H. Wong:
Improved multi-processor scheduling for flow time and energy. J. Sched. 15(1): 105-116 (2012) - 2011
- [j8]Ho-Leung Chan, Jeff Edmonds, Tak Wah Lam, Lap-Kei Lee, Alberto Marchetti-Spaccamela, Kirk Pruhs:
Nonclairvoyant Speed Scaling for Flow and Energy. Algorithmica 61(3): 507-517 (2011) - [j7]Hing-Fung Ting, Lap-Kei Lee, Ho-Leung Chan, Tak Wah Lam:
Approximating Frequent Items in Asynchronous Data Stream over a Sliding Window. Algorithms 4(3): 200-222 (2011) - [j6]Sze-Hang Chan, Tak Wah Lam, Lap-Kei Lee, Hing-Fung Ting, Pan Zhang:
Non-clairvoyant Scheduling for Weighted Flow Time and Energy on Speed Bounded Processors. Chic. J. Theor. Comput. Sci. 2011 (2011) - 2010
- [j5]Regant Y. S. Hung, Lap-Kei Lee, Hing-Fung Ting:
Finding frequent items over sliding windows with constant update time. Inf. Process. Lett. 110(7): 257-260 (2010) - [j4]Xin Han, Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prudence W. H. Wong:
Deadline scheduling and power management for speed bounded processors. Theor. Comput. Sci. 411(40-42): 3587-3600 (2010) - 2009
- [j3]Ho-Leung Chan, Joseph Wun-Tat Chan, Tak Wah Lam, Lap-Kei Lee, Kin-Sum Mak, Prudence W. H. Wong:
Optimizing throughput and energy in online deadline scheduling. ACM Trans. Algorithms 6(1): 10:1-10:22 (2009) - 2008
- [j2]Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prudence W. H. Wong:
Nonmigratory Multiprocessor Scheduling for Response Time and Energy. IEEE Trans. Parallel Distributed Syst. 19(11): 1527-1539 (2008) - 2006
- [j1]Siu-Ming Yiu, S. W. Yiu, Lap-Kei Lee, Eric K. Y. Li, Michael C. L. Yip:
Sharing and access right delegation for confidential documents: A practical solution. Inf. Manag. 43(5): 607-616 (2006)
Conference and Workshop Papers
- 2023
- [c33]Yuyu Luo, Yi Xie, Enliang Yan, Lap-Kei Lee, Fu Lee Wang, Tianyong Hao:
A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost. NCAA (2) 2023: 245-259 - 2021
- [c32]Baoxin Lei, Wen Li, Leung-Pun Wong, Lap-Kei Lee, Fu Lee Wang, Tianyong Hao:
A Hybrid Semantic Matching Model for Neural Collective Entity Linking. APWeb/WAIM (2) 2021: 121-134 - [c31]Shao-Fu Li, Kwan-Keung Ng, Lap-Kei Lee:
A Study on the Application of AI Experiential Learning in the Architecture and Design Courses of a Taiwan University. ICBL 2021: 103-115 - [c30]Xiaozhi Zhu, Leung-Pun Wong, Lap-Kei Lee, Hai Liu, Tianyong Hao:
FABERT: A Feature Aggregation BERT-Based Model for Document Reranking. NLPCC (2) 2021: 139-150 - 2020
- [c29]Jiayin Song, Jingyue Hu, Leung-Pun Wong, Lap-Kei Lee, Tianyong Hao:
A New Context-Aware Method Based on Hybrid Ranking for Community-Oriented Lexical Simplification. DASFAA (Workshops) 2020: 80-92 - [c28]Siyuan Liao, Leung-Pun Wong, Lap-Kei Lee, Oliver Au, Tianyong Hao:
Leveraging Statistic and Semantic Features for Similar Question Detection Using Fusion XGBoost. DASFAA (Workshops) 2020: 106-120 - [c27]Yuanxia Liu, Hai Liu, Leung-Pun Wong, Lap-Kei Lee, Haijun Zhang, Tianyong Hao:
A Hybrid Neural Network RBERT-C Based on Pre-trained RoBERTa and CNN for User Intent Classification. NCAA 2020: 306-319 - [c26]Nga-In Wu, Chu-Ren Huang, Lap-Kei Lee:
Corpus-based Comparison of Verbs of Separation "Qie" and "Ge". PACLIC 2020: 329-336 - 2019
- [c25]Wenxiu Xie, Leung-Pun Wong, Lap-Kei Lee, Oliver T. S. Au, Tianyong Hao:
A Semantic Expansion-Based Joint Model for Answer Ranking in Chinese Question Answering Systems. AIRS 2019: 22-33 - [c24]Lap-Kei Lee, Tsz-Kin Cheung, Lok-Tin Ho, Wai-Hang Yiu, Nga-In Wu:
Learning Computational Thinking Through Gamification and Collaborative Learning. ICBL 2019: 339-349 - 2018
- [c23]Oliver Tat Sheung Au, Raymond Man Hong Wong, Lap-Kei Lee:
Slide-Based Lecture Notes as a Student-Centered Alternative to Textbooks for Non-native English Speakers. ICBL 2018: 188-199 - 2017
- [c22]Oliver Au, Raymond So, Lap-Kei Lee:
Prior Knowledge Dwarfs Hard Work in Achieving Academic Performance. ICBL 2017: 139-147 - 2013
- [c21]Ho-Leung Chan, Sze-Hang Chan, Tak Wah Lam, Lap-Kei Lee, Rongbin Li, Chi-Man Liu:
Competitive Online Algorithms for Multiple-Machine Power Management and Weighted Flow Time. CATS 2013: 11-20 - [c20]Sze-Hang Chan, Tak Wah Lam, Lap-Kei Lee, Jianqiao Zhu:
Nonclairvoyant sleep management and flow-time scheduling on multiple processors. SPAA 2013: 261-270 - [c19]Wing-Kai Hon, Lap-Kei Lee, Kunihiko Sadakane, Konstantinos Tsakalidis:
Compressed Persistent Index for Efficient Rank/Select Queries. WADS 2013: 402-414 - 2012
- [c18]Ho-Leung Chan, Sze-Hang Chan, Tak Wah Lam, Lap-Kei Lee, Jianqiao Zhu:
Non-clairvoyant weighted flow time scheduling with rejection penalty. SPAA 2012: 246-254 - [c17]Lap-Kei Lee, Moshe Lewenstein, Qin Zhang:
Parikh Matching in the Streaming Model. SPIRE 2012: 336-341 - 2011
- [c16]Sze-Hang Chan, Tak Wah Lam, Lap-Kei Lee, Chi-Man Liu, Hing-Fung Ting:
Sleep Management on Multiple Machines for Energy and Flow Time. ICALP (1) 2011: 219-231 - [c15]Ho-Leung Chan, Tak Wah Lam, Lap-Kei Lee, Jiangwei Pan, Hing-Fung Ting, Qin Zhang:
Edit Distance to Monotonicity in Sliding Windows. ISAAC 2011: 564-573 - [c14]Sze-Hang Chan, Tak Wah Lam, Lap-Kei Lee:
Scheduling for Weighted Flow Time and Energy with Rejection Penalty. STACS 2011: 392-403 - 2010
- [c13]Sze-Hang Chan, Tak Wah Lam, Lap-Kei Lee, Hing-Fung Ting, Peng Zhang:
Non-clairvoyant Scheduling for Weighted Flow Time and Energy on Speed Bounded Processors. CATS 2010: 3-10 - [c12]Sze-Hang Chan, Tak Wah Lam, Lap-Kei Lee:
Non-clairvoyant Speed Scaling for Weighted Flow Time. ESA (1) 2010: 23-35 - [c11]Ho-Leung Chan, Tak Wah Lam, Lap-Kei Lee, Hing-Fung Ting:
Continuous Monitoring of Distributed Data Streams over a Time-based Sliding Window. STACS 2010: 179-190 - 2009
- [c10]Tak Wah Lam, Lap-Kei Lee, Hing-Fung Ting, Isaac Kar-Keung To, Prudence W. H. Wong:
Sleep with Guilt and Work Faster to Minimize Flow Plus Energy. ICALP (1) 2009: 665-676 - [c9]Ho-Leung Chan, Jeff Edmonds, Tak Wah Lam, Lap-Kei Lee, Alberto Marchetti-Spaccamela, Kirk Pruhs:
Nonclairvoyant Speed Scaling for Flow and Energy. STACS 2009: 255-264 - [c8]Ho-Leung Chan, Tak Wah Lam, Lap-Kei Lee, Hing-Fung Ting:
Approximating Frequent Items in Asynchronous Data Stream over a Sliding Window. WAOA 2009: 49-61 - 2008
- [c7]Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prudence W. H. Wong:
Speed Scaling Functions for Flow Time Scheduling Based on Active Job Count. ESA 2008: 647-659 - [c6]Nikhil Bansal, Ho-Leung Chan, Tak Wah Lam, Lap-Kei Lee:
Scheduling for Speed Bounded Processors. ICALP (1) 2008: 409-420 - [c5]Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prudence W. H. Wong:
Competitive non-migratory scheduling for flow time and energy. SPAA 2008: 256-264 - 2007
- [c4]Tak Wah Lam, Lap-Kei Lee, Isaac Kar-Keung To, Prudence W. H. Wong:
Energy Efficient Deadline Scheduling in Two Processor Systems. ISAAC 2007: 476-487 - [c3]Ho-Leung Chan, Wun-Tat Chan, Tak Wah Lam, Lap-Kei Lee, Kin-Sum Mak, Prudence W. H. Wong:
Energy efficient online deadline scheduling. SODA 2007: 795-804 - 2006
- [c2]Lap-Kei Lee, H. F. Ting:
A simpler and more efficient deterministic scheme for finding frequent items over sliding windows. PODS 2006: 290-297 - [c1]Lap-Kei Lee, H. F. Ting:
Maintaining significant stream statistics over sliding windows. SODA 2006: 724-732
Editorship
- 2019
- [e3]Simon K. S. Cheung, Lap-Kei Lee, Ivana Simonova, Tomas Kozel, Lam For Kwok:
Blended Learning: Educational Innovation for Personalized Learning - 12th International Conference, ICBL 2019, Hradec Kralove, Czech Republic, July 2-4, 2019, Proceedings. Lecture Notes in Computer Science 11546, Springer 2019, ISBN 978-3-030-21561-3 [contents] - 2018
- [e2]Simon K. S. Cheung, Lam-for Kwok, Kenichi Kubota, Lap-Kei Lee, Jumpei Tokito:
Blended Learning. Enhancing Learning Success - 11th International Conference, ICBL 2018, Osaka, Japan, July 31 - August 2, 2018, Proceedings. Lecture Notes in Computer Science 10949, Springer 2018, ISBN 978-3-319-94504-0 [contents] - 2017
- [e1]Simon K. S. Cheung, Lam-for Kwok, Will W. K. Ma, Lap-Kei Lee, Harrison Hao Yang:
Blended Learning. New Challenges and Innovative Practices - 10th International Conference, ICBL 2017, Hong Kong, China, June 27-29, 2017, Proceedings. Lecture Notes in Computer Science 10309, Springer 2017, ISBN 978-3-319-59359-3 [contents]
Informal and Other Publications
- 2011
- [i3]Ho-Leung Chan, Tak Wah Lam, Lap-Kei Lee, Jiangwei Pan, Hing-Fung Ting, Qin Zhang:
Edit Distance to Monotonicity in Sliding Windows. CoRR abs/1111.5386 (2011) - 2009
- [i2]Ho-Leung Chan, Jeff Edmonds, Tak Wah Lam, Lap-Kei Lee, Alberto Marchetti-Spaccamela, Kirk Pruhs:
Nonclairvoyant Speed Scaling for Flow and Energy. CoRR abs/0902.1260 (2009) - [i1]Ho-Leung Chan, Tak Wah Lam, Lap-Kei Lee, Hing-Fung Ting:
Continuous Monitoring of Distributed Data Streams over a Time-based Sliding Window. CoRR abs/0912.4569 (2009)
Coauthor Index
aka: H. F. Ting
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