A simpler and more efficient deterministic scheme for finding frequent items over sliding windows. - Lap-Kei Lee; H. F. Ting (PODS, 2006)

Maintaining significant stream statistics over sliding windows. - Lap-Kei Lee; H. F. Ting (SODA, 2006)

Sharing and access right delegation for confidential documents: A practical solution. - Siu-Ming Yiu; S. W. Yiu; Lap-Kei Lee; Eric K. Y. Li; Michael C. L. Yip (Inf. Manag., 2006)

Energy Efficient Deadline Scheduling in Two Processor Systems. - Tak Wah Lam; Lap-Kei Lee; Isaac Kar-Keung To; Prudence W. H. Wong (ISAAC, 2007)

Energy efficient online deadline scheduling. - Ho-Leung Chan; Wun-Tat Chan; Tak Wah Lam; Lap-Kei Lee; Kin-Sum Mak; Prudence W. H. Wong (SODA, 2007)

Speed Scaling Functions for Flow Time Scheduling Based on Active Job Count. - Tak Wah Lam; Lap-Kei Lee; Isaac Kar-Keung To; Prudence W. H. Wong (ESA, 2008)

Scheduling for Speed Bounded Processors. - Nikhil Bansal 001; Ho-Leung Chan; Tak Wah Lam; Lap-Kei Lee (ICALP (1), 2008)

Competitive non-migratory scheduling for flow time and energy. - Tak Wah Lam; Lap-Kei Lee; Isaac Kar-Keung To; Prudence W. H. Wong (SPAA, 2008)

Nonmigratory Multiprocessor Scheduling for Response Time and Energy. - Tak Wah Lam; Lap-Kei Lee; Isaac Kar-Keung To; Prudence W. H. Wong (IEEE Trans. Parallel Distributed Syst., 2008)

Sleep with Guilt and Work Faster to Minimize Flow Plus Energy. - Tak Wah Lam; Lap-Kei Lee; Hing-Fung Ting; Isaac Kar-Keung To; Prudence W. H. Wong (ICALP (1), 2009)

Optimizing throughput and energy in online deadline scheduling. - Ho-Leung Chan; Joseph Wun-Tat Chan; Tak Wah Lam; Lap-Kei Lee; Kin-Sum Mak; Prudence W. H. Wong (ACM Trans. Algorithms, 2009)

New results on online job scheduling and data stream algorithms - Lap-Kei Lee (2009)

Non-clairvoyant Scheduling for Weighted Flow Time and Energy on Speed Bounded Processors. - Sze-Hang Chan; Tak Wah Lam; Lap-Kei Lee; Hing-Fung Ting; Peng Zhang 008 (CATS, 2010)

Non-clairvoyant Speed Scaling for Weighted Flow Time. - Sze-Hang Chan; Tak Wah Lam; Lap-Kei Lee (ESA (1), 2010)

Finding frequent items over sliding windows with constant update time. - Regant Y. S. Hung; Lap-Kei Lee; Hing-Fung Ting (Inf. Process. Lett., 2010)

Deadline scheduling and power management for speed bounded processors. - Xin Han; Tak Wah Lam; Lap-Kei Lee; Isaac Kar-Keung To; Prudence W. H. Wong (Theor. Comput. Sci., 2010)

Sleep Management on Multiple Machines for Energy and Flow Time. - Sze-Hang Chan; Tak Wah Lam; Lap-Kei Lee; Chi-Man Liu; Hing-Fung Ting (ICALP (1), 2011)

Edit Distance to Monotonicity in Sliding Windows. - Ho-Leung Chan; Tak Wah Lam; Lap-Kei Lee; Jiangwei Pan; Hing-Fung Ting; Qin Zhang 001 (ISAAC, 2011)

Nonclairvoyant Speed Scaling for Flow and Energy. - Ho-Leung Chan; Jeff Edmonds; Tak Wah Lam; Lap-Kei Lee; Alberto Marchetti-Spaccamela; Kirk Pruhs (Algorithmica, 2011)

Approximating Frequent Items in Asynchronous Data Stream over a Sliding Window. - Hing-Fung Ting; Lap-Kei Lee; Ho-Leung Chan; Tak Wah Lam (Algorithms, 2011)

Non-clairvoyant Scheduling for Weighted Flow Time and Energy on Speed Bounded Processors. - Sze-Hang Chan; Tak Wah Lam; Lap-Kei Lee; Hing-Fung Ting; Pan Zhang (Chic. J. Theor. Comput. Sci., 2011)

Non-clairvoyant weighted flow time scheduling with rejection penalty. - Ho-Leung Chan; Sze-Hang Chan; Tak Wah Lam; Lap-Kei Lee; Jianqiao Zhu (SPAA, 2012)

Parikh Matching in the Streaming Model. - Lap-Kei Lee; Moshe Lewenstein; Qin Zhang 001 (SPIRE, 2012)

Continuous Monitoring of Distributed Data Streams over a Time-Based Sliding Window. - Ho-Leung Chan; Tak Wah Lam; Lap-Kei Lee; Hing-Fung Ting (Algorithmica, 2012)

Improved multi-processor scheduling for flow time and energy. - Tak Wah Lam; Lap-Kei Lee; Isaac Kar-Keung To; Prudence W. H. Wong (J. Sched., 2012)

Competitive Online Algorithms for Multiple-Machine Power Management and Weighted Flow Time. - Ho-Leung Chan; Sze-Hang Chan; Tak Wah Lam; Lap-Kei Lee; Rongbin Li; Chi-Man Liu (CATS, 2013)

Nonclairvoyant sleep management and flow-time scheduling on multiple processors. - Sze-Hang Chan; Tak Wah Lam; Lap-Kei Lee; Jianqiao Zhu (SPAA, 2013)

Compressed Persistent Index for Efficient Rank/Select Queries. - Wing-Kai Hon; Lap-Kei Lee; Kunihiko Sadakane; Konstantinos Tsakalidis (WADS, 2013)

Online Speed Scaling Based on Active Job Count to Minimize Flow Plus Energy. - Tak Wah Lam; Lap-Kei Lee; Isaac Kar-Keung To; Prudence W. H. Wong (Algorithmica, 2013)

Scheduling for weighted flow time and energy with rejection penalty. - Sze-Hang Chan; Tak Wah Lam; Lap-Kei Lee (Theor. Comput. Sci., 2013)

Prior Knowledge Dwarfs Hard Work in Achieving Academic Performance. - Oliver Au; Raymond So; Lap-Kei Lee (ICBL, 2017)

Slide-Based Lecture Notes as a Student-Centered Alternative to Textbooks for Non-native English Speakers. - Oliver Tat Sheung Au; Raymond Man Hong Wong; Lap-Kei Lee (ICBL, 2018)

A Semantic Expansion-Based Joint Model for Answer Ranking in Chinese Question Answering Systems. - Wenxiu Xie; Leung-Pun Wong; Lap-Kei Lee; Oliver T. S. Au; Tianyong Hao (AIRS, 2019)

Learning Computational Thinking Through Gamification and Collaborative Learning. - Lap-Kei Lee; Tsz-Kin Cheung; Lok-Tin Ho; Wai-Hang Yiu; Nga-In Wu (ICBL, 2019)

Leveraging Statistic and Semantic Features for Similar Question Detection Using Fusion XGBoost. - Siyuan Liao; Leung-Pun Wong; Lap-Kei Lee; Oliver Au; Tianyong Hao (DASFAA (Workshops), 2020)

A New Context-Aware Method Based on Hybrid Ranking for Community-Oriented Lexical Simplification. - Jiayin Song; Jingyue Hu; Leung-Pun Wong; Lap-Kei Lee; Tianyong Hao (DASFAA (Workshops), 2020)

A Hybrid Neural Network RBERT-C Based on Pre-trained RoBERTa and CNN for User Intent Classification. - Yuanxia Liu; Hai Liu 006; Leung-Pun Wong; Lap-Kei Lee; Haijun Zhang 002; Tianyong Hao (NCAA, 2020)

Corpus-based Comparison of Verbs of Separation "Qie" and "Ge". - Nga-In Wu; Chu-Ren Huang; Lap-Kei Lee (PACLIC, 2020)

A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification. - Hai Liu 006; Yuanxia Liu; Leung-Pun Wong; Lap-Kei Lee; Tianyong Hao (Complex., 2020)

A Hybrid Semantic Matching Model for Neural Collective Entity Linking. - Baoxin Lei; Wen Li 006; Leung-Pun Wong; Lap-Kei Lee; Fu Lee Wang; Tianyong Hao (APWeb/WAIM (2), 2021)

A Study on the Application of AI Experiential Learning in the Architecture and Design Courses of a Taiwan University. - Shao-Fu Li; Kwan-Keung Ng; Lap-Kei Lee (ICBL, 2021)

FABERT: A Feature Aggregation BERT-Based Model for Document Reranking. - Xiaozhi Zhu; Leung-Pun Wong; Lap-Kei Lee; Hai Liu 006; Tianyong Hao (NLPCC (2), 2021)

Semi-Automatic Data Labelling of Smart Meter Data for Electricity Theft Detection. - Kwok Tai Chui; Lap-Kei Lee; Ryan Wen Liu; Mingbo Zhao; Miltiadis D. Lytras (SysCom, 2021)

An Intelligent Augmented Reality Mobile Application for Heritage Conservation Education. - Lap-Kei Lee; Kwok Tai Chui; Chung-Man Chui; Pui-Yu Lo; Sai-Wing Tsoi; Nga-In Wu (SysCom, 2021)

Top-N personalized recommendation with graph neural networks in MOOCs. - Jingjing Wang; Haoran Xie 001; Fu Lee Wang; Lap-Kei Lee; Oliver Tat Sheung Au (Comput. Educ. Artif. Intell., 2021)

A comparative study on linguistic theories for modeling EFL learners: facilitating personalized vocabulary learning via task recommendations. - Di Zou; Minhong Wang 001; Haoran Xie 001; Gary Cheng 001; Fu Lee Wang; Lap-Kei Lee (Interact. Learn. Environ., 2021)

A Systematic Review of Generative Artificial Intelligence in Language Education. - Zilin Wang; Di Zou; Lap-Kei Lee; Haoran Xie 001; Fu Lee Wang (ICCE, 2023)

A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost. - Yuyu Luo; Yi Xie; Enliang Yan; Lap-Kei Lee; Fu Lee Wang; Tianyong Hao (NCAA (2), 2023)

A Systematic Review of Citation Recommendation Over the Past Two Decades. - Yicong Liang; Lap-Kei Lee (Int. J. Semantic Web Inf. Syst., 2023)

PS-Mixer: A Polar-Vector and Strength-Vector Mixer Model for Multimodal Sentiment Analysis. - Han Lin; Pinglu Zhang; Jiading Ling; Zhenguo Yang; Lap-Kei Lee; Wenyin Liu (Inf. Process. Manag., 2023)

Jointly modeling intra- and inter-session dependencies with graph neural networks for session-based recommendations. - Jingjing Wang; Haoran Xie 001; Fu Lee Wang; Lap-Kei Lee; Mingqiang Wei (Inf. Process. Manag., 2023)

A transformer-convolution model for enhanced session-based recommendation. - Jingjing Wang; Haoran Xie 001; Fu Lee Wang; Lap-Kei Lee (Neurocomputing, 2023)

Improving text classification via a soft dynamical label strategy. - Jing-jing Wang; Haoran Xie 001; Fu Lee Wang; Lap-Kei Lee (Int. J. Mach. Learn. Cybern., 2023)

Asymmetric cross-modal attention network with multimodal augmented mixup for medical visual question answering. - Yong Li; Qihao Yang; Fu Lee Wang; Lap-Kei Lee; Yingying Qu; Tianyong Hao (Artif. Intell. Medicine, 2023)

MTA: A Lightweight Multilingual Text Alignment Model for Cross-Language Visual Word Sense Disambiguation. - Qihao Yang; Xuelin Wang; Yong Li; Lap-Kei Lee; Fu Lee Wang; Tianyong Hao (ICASSP, 2024)

A Case Study Examines How a New Content Integration Impacts Learning Outcomes with AI Experience Inputs. - Kwan-Keung Ng; Shao-Fu Li; Lap-Kei Lee; Louise Luk (ICBL, 2024)

Modality-specific and -shared Contrastive Learning for Sentiment Analysis. - Dahuang Liu; Jiuxiang You; Guobo Xie; Lap-Kei Lee; Fu Lee Wang; Zhenguo Yang (ICMR, 2024)

A Weighted Cross-Modal Feature Aggregation Network for Rumor Detection. - Jia Li; Zihan Hu; Zhenguo Yang; Lap-Kei Lee; Fu Lee Wang (PAKDD (6), 2024)

MKV: Mapping Key Semantics into Vectors for Rumor Detection. - Yang Li 201; Liguang Liu; Jiacai Guo; Lap-Kei Lee; Fu Lee Wang; Zhenguo Yang (SIGIR, 2024)

Effects of a knowledge graph-based learning approach on students' performance and experience. - Lap-Kei Lee; Venus Chan; Maggie Liu; Billy Tak-Ming Wong; Kam Cheong Li; Kechen Qu (Int. J. Mob. Learn. Organisation, 2024)

Effects of a knowledge graph-based learning approach on student performance and experience. - Kechen Qu; Kam Cheong Li; Billy Tak-Ming Wong; Maggie Liu; Venus Chan; Lap-Kei Lee (Int. J. Mob. Learn. Organisation, 2024)

Cross-Modal Attention Network for Detecting Multimodal Misinformation From Multiple Platforms. - Zhiwei Guo; Yang Li 201; Zhenguo Yang; Xiaoping Li 001; Lap-Kei Lee; Qing Li 001; Wenyin Liu (IEEE Trans. Comput. Soc. Syst., 2024)

University Students' Perceptions of Using Generative AI in Digital Story Creation: Cognition, Willingness, and Concerns. - Ruixue Liu; Jingrou Meng; Lap-Kei Lee; Xiaodong Wei (ICBL, 2025)

Enhancing pre-service teachers' reflective thinking skills through generative AI-assisted digital storytelling creation: A three-dimensional framework analysis. - Xiaodong Wei; Lei Wang 144; Tiffany A. Koszalka; Lap-Kei Lee; Ruixue Liu (Comput. Educ., 2025)

An Educational Design and Implementation of the Smart Site Safety System from the Stakeholders' Perspectives. - Yan-Wai Chan; Yiu-Fai Tsang; Simon K. S. Cheung; Kwan-Keung Ng; Kwok Tai Chui; Lap-Kei Lee (SN Comput. Sci., 2025)