Lap-Kei Lee

Orcid: 0000-0001-9619-6041

According to our database1, Lap-Kei Lee authored at least 59 papers between 2006 and 2024.

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Bibliography

2024
Cross-Modal Attention Network for Detecting Multimodal Misinformation From Multiple Platforms.
IEEE Trans. Comput. Soc. Syst., August, 2024

MKV: Mapping Key Semantics into Vectors for Rumor Detection.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

A Weighted Cross-Modal Feature Aggregation Network for Rumor Detection.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Modality-specific and -shared Contrastive Learning for Sentiment Analysis.
Proceedings of the 2024 International Conference on Multimedia Retrieval, 2024

A Case Study Examines How a New Content Integration Impacts Learning Outcomes with AI Experience Inputs.
Proceedings of the Blended Learning. Intelligent Computing in Education, 2024

MTA: A Lightweight Multilingual Text Alignment Model for Cross-Language Visual Word Sense Disambiguation.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Asymmetric cross-modal attention network with multimodal augmented mixup for medical visual question answering.
Artif. Intell. Medicine, October, 2023

Improving text classification via a soft dynamical label strategy.
Int. J. Mach. Learn. Cybern., July, 2023

A transformer-convolution model for enhanced session-based recommendation.
Neurocomputing, April, 2023

Jointly modeling intra- and inter-session dependencies with graph neural networks for session-based recommendations.
Inf. Process. Manag., 2023

PS-Mixer: A Polar-Vector and Strength-Vector Mixer Model for Multimodal Sentiment Analysis.
Inf. Process. Manag., 2023

A Systematic Review of Citation Recommendation Over the Past Two Decades.
Int. J. Semantic Web Inf. Syst., 2023

A User Intent Recognition Model for Medical Queries Based on Attentional Interaction and Focal Loss Boost.
Proceedings of the International Conference on Neural Computing for Advanced Applications, 2023

2021
A comparative study on linguistic theories for modeling EFL learners: facilitating personalized vocabulary learning via task recommendations.
Interact. Learn. Environ., 2021

Top-N personalized recommendation with graph neural networks in MOOCs.
Comput. Educ. Artif. Intell., 2021

An Intelligent Augmented Reality Mobile Application for Heritage Conservation Education.
Proceedings of International Conference on Smart Systems and Advanced Computing, 2021

Semi-Automatic Data Labelling of Smart Meter Data for Electricity Theft Detection.
Proceedings of International Conference on Smart Systems and Advanced Computing, 2021

FABERT: A Feature Aggregation BERT-Based Model for Document Reranking.
Proceedings of the Natural Language Processing and Chinese Computing, 2021

A Study on the Application of AI Experiential Learning in the Architecture and Design Courses of a Taiwan University.
Proceedings of the Blended Learning: Re-thinking and Re-defining the Learning Process., 2021

A Hybrid Semantic Matching Model for Neural Collective Entity Linking.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

2020
A Hybrid Neural Network BERT-Cap Based on Pre-Trained Language Model and Capsule Network for User Intent Classification.
Complex., 2020

Corpus-based Comparison of Verbs of Separation "Qie" and "Ge".
Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020

A Hybrid Neural Network RBERT-C Based on Pre-trained RoBERTa and CNN for User Intent Classification.
Proceedings of the Neural Computing for Advanced Applications, 2020

A New Context-Aware Method Based on Hybrid Ranking for Community-Oriented Lexical Simplification.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2020 International Workshops, 2020

Leveraging Statistic and Semantic Features for Similar Question Detection Using Fusion XGBoost.
Proceedings of the Database Systems for Advanced Applications. DASFAA 2020 International Workshops, 2020

2019
Learning Computational Thinking Through Gamification and Collaborative Learning.
Proceedings of the Blended Learning: Educational Innovation for Personalized Learning, 2019

A Semantic Expansion-Based Joint Model for Answer Ranking in Chinese Question Answering Systems.
Proceedings of the Information Retrieval Technology, 2019

2018
Slide-Based Lecture Notes as a Student-Centered Alternative to Textbooks for Non-native English Speakers.
Proceedings of the Blended Learning. Enhancing Learning Success, 2018

2017
Prior Knowledge Dwarfs Hard Work in Achieving Academic Performance.
Proceedings of the Blended Learning. New Challenges and Innovative Practices, 2017

2013
Scheduling for weighted flow time and energy with rejection penalty.
Theor. Comput. Sci., 2013

Online Speed Scaling Based on Active Job Count to Minimize Flow Plus Energy.
Algorithmica, 2013

Compressed Persistent Index for Efficient Rank/Select Queries.
Proceedings of the Algorithms and Data Structures - 13th International Symposium, 2013

Nonclairvoyant sleep management and flow-time scheduling on multiple processors.
Proceedings of the 25th ACM Symposium on Parallelism in Algorithms and Architectures, 2013

Competitive Online Algorithms for Multiple-Machine Power Management and Weighted Flow Time.
Proceedings of the Nineteenth Computing: The Australasian Theory Symposium, 2013

2012
Improved multi-processor scheduling for flow time and energy.
J. Sched., 2012

Continuous Monitoring of Distributed Data Streams over a Time-Based Sliding Window.
Algorithmica, 2012

Parikh Matching in the Streaming Model.
Proceedings of the String Processing and Information Retrieval, 2012

Non-clairvoyant weighted flow time scheduling with rejection penalty.
Proceedings of the 24th ACM Symposium on Parallelism in Algorithms and Architectures, 2012

2011
Non-clairvoyant Scheduling for Weighted Flow Time and Energy on Speed Bounded Processors.
Chic. J. Theor. Comput. Sci., 2011

Approximating Frequent Items in Asynchronous Data Stream over a Sliding Window.
Algorithms, 2011

Nonclairvoyant Speed Scaling for Flow and Energy.
Algorithmica, 2011

Edit Distance to Monotonicity in Sliding Windows.
Proceedings of the Algorithms and Computation - 22nd International Symposium, 2011

Sleep Management on Multiple Machines for Energy and Flow Time.
Proceedings of the Automata, Languages and Programming - 38th International Colloquium, 2011

2010
Deadline scheduling and power management for speed bounded processors.
Theor. Comput. Sci., 2010

Finding frequent items over sliding windows with constant update time.
Inf. Process. Lett., 2010

Non-clairvoyant Speed Scaling for Weighted Flow Time.
Proceedings of the Algorithms, 2010

Non-clairvoyant Scheduling for Weighted Flow Time and Energy on Speed Bounded Processors.
Proceedings of the Theory of Computing 2010, 2010

2009
New results on online job scheduling and data stream algorithms
PhD thesis, 2009

Optimizing throughput and energy in online deadline scheduling.
ACM Trans. Algorithms, 2009

Sleep with Guilt and Work Faster to Minimize Flow Plus Energy.
Proceedings of the Automata, Languages and Programming, 36th International Colloquium, 2009

2008
Nonmigratory Multiprocessor Scheduling for Response Time and Energy.
IEEE Trans. Parallel Distributed Syst., 2008

Competitive non-migratory scheduling for flow time and energy.
Proceedings of the SPAA 2008: Proceedings of the 20th Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2008

Scheduling for Speed Bounded Processors.
Proceedings of the Automata, Languages and Programming, 35th International Colloquium, 2008

Speed Scaling Functions for Flow Time Scheduling Based on Active Job Count.
Proceedings of the Algorithms, 2008

2007
Energy efficient online deadline scheduling.
Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2007

Energy Efficient Deadline Scheduling in Two Processor Systems.
Proceedings of the Algorithms and Computation, 18th International Symposium, 2007

2006
Sharing and access right delegation for confidential documents: A practical solution.
Inf. Manag., 2006

Maintaining significant stream statistics over sliding windows.
Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2006

A simpler and more efficient deterministic scheme for finding frequent items over sliding windows.
Proceedings of the Twenty-Fifth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2006


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