William Kwok-Wai Cheung

Orcid: 0000-0002-7428-2050

Affiliations:
  • Hong Kong Baptist University, Department of Computer Scienceo, Hong Kong
  • Hong Kong University of Science and Technology, Department of Computer Science, Hong Kong (PhD 1999)


According to our database1, William Kwok-Wai Cheung authored at least 162 papers between 1994 and 2024.

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Bibliography

2024
PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias.
IEEE Trans. Knowl. Data Eng., June, 2024

Towards explaining graph neural networks via preserving prediction ranking and structural dependency.
Inf. Process. Manag., March, 2024

WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning.
IEEE Trans. Knowl. Data Eng., January, 2024

GEAR: Learning graph neural network explainer via adjusting gradients.
Knowl. Based Syst., 2024

Addressing Asynchronicity in Clinical Multimodal Fusion via Individualized Chest X-ray Generation.
CoRR, 2024

Large Language Models as Partners in Student Essay Evaluation.
CoRR, 2024

Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation.
Proceedings of the Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, 2024

AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding.
ACM Trans. Intell. Syst. Technol., December, 2023

Accurate and interpretable gene expression imputation on scRNA-seq data using IGSimpute.
Briefings Bioinform., May, 2023

Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors.
IEEE Trans. Knowl. Data Eng., April, 2023

Efficient and Optimal Algorithms for Tree Summarization With Weighted Terminologies.
IEEE Trans. Knowl. Data Eng., March, 2023

KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation.
Trans. Mach. Learn. Res., 2023

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation.
IEEE Trans. Medical Imaging, 2023

Learning Hierarchical Variational Autoencoders With Mutual Information Maximization for Autoregressive Sequence Modeling.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Toward Memory-Efficient and Interpretable Factorization Machines via Data and Model Binarization.
IEEE Access, 2023

2022
dynDeepDRIM: a dynamic deep learning model to infer direct regulatory interactions using time-course single-cell gene expression data.
Briefings Bioinform., November, 2022

Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records.
IEEE Trans. Knowl. Data Eng., 2022

LRP2A: Layer-wise Relevance Propagation based Adversarial attacking for Graph Neural Networks.
Knowl. Based Syst., 2022

Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation.
CoRR, 2022

Assessing Non-autoregressive Alignment in Neural Machine Translation via Word Reordering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Detecting High-Engaging Breaking News Rumors in Social Media.
ACM Trans. Manag. Inf. Syst., 2021

KRADA: Known-region-aware Domain Alignment for Open World Semantic Segmentation.
CoRR, 2021

DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data.
Briefings Bioinform., 2021

TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Structural Representation Learning for User Alignment Across Social Networks.
IEEE Trans. Knowl. Data Eng., 2020

Context-Aware Time Series Imputation for Multi-Analyte Clinical Data.
J. Heal. Informatics Res., 2020

Ontology-based Graph Visualization for Summarized View.
CoRR, 2020

Joint Learning of Embedding-Based Parent Components and Information Diffusion for Social Networks.
IEEE Access, 2020

LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Embedding for Anomaly Detection on Health Insurance Claims.
Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020

2019
Learning Stylometric Representations for Authorship Analysis.
IEEE Trans. Cybern., 2019

Learner perceptions versus technology usage: A study of adolescent English learners in Hong Kong secondary schools.
Comput. Educ., 2019

An Environmental-adaptive Wi-Fi Localization Approach with Low Start-up Cost for the Exhibition Industry.
Proceedings of the 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2019

Medical Concept Embedding with Multiple Ontological Representations.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Context-Aware Imputation for Clinical Time Series.
Proceedings of the 2019 IEEE International Conference on Healthcare Informatics, 2019

Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks.
Proceedings of the 35th IEEE International Conference on Data Engineering Workshops, 2019

Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Similarity Preserving Deep Asymmetric Quantization for Image Retrieval.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Automatic Extraction of Behavioral Patterns for Elderly Mobility and Daily Routine Analysis.
ACM Trans. Intell. Syst. Technol., 2018

A heterogeneous hidden Markov model for mobile app recommendation.
Knowl. Inf. Syst., 2018

Fast indoor localization for exhibition venues with calibrating heterogeneous mobile devices.
Internet Things, 2018

Personalized Next Point-of-Interest Recommendation via Latent Behavior Patterns Inference.
CoRR, 2018

A Structural Representation Learning for Multi-relational Networks.
CoRR, 2018

PSM-Flow: Probabilistic Subgraph Mining for Discovering Reusable Fragments in Workflows.
Proceedings of the 2018 IEEE/WIC/ACM International Conference on Web Intelligence, 2018

Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning Deep Unsupervised Binary Codes for Image Retrieval.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Aphash: Anchor-Based Probability Hashing for Image Retrieval.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Fast Setup and Robust WiFi Localization for the Exhibition Industry.
Proceedings of the 32nd IEEE International Conference on Advanced Information Networking and Applications, 2018

2017
A Component-Based Diffusion Model With Structural Diversity for Social Networks.
IEEE Trans. Cybern., 2017

EssayCritic: Writing to Learn with a Knowledge-Based Design Critiquing System.
J. Educ. Technol. Soc., 2017

Towards well-specified semi-supervised model-based classifiers via structural adaptation.
CoRR, 2017

HKBU at MediaEval 2017 - Medico: Medical Multimedia Task.
Proceedings of the Working Notes Proceedings of the MediaEval 2017 Workshop co-located with the Conference and Labs of the Evaluation Forum (CLEF 2017), 2017

A Structural Representation Learning for Multi-relational Networks.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Ontology-based Graph Visualization for Summarized View.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
Mining from distributed and abstracted data.
WIREs Data Mining Knowl. Discov., 2016

Effective successive POI recommendation inferred with individual behavior and group preference.
Neurocomputing, 2016

Bayesian Nominal Matrix Factorization for Mining Daily Activity Patterns.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Aligning Users across Social Networks Using Network Embedding.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inferring Motif-Based Diffusion Models for Social Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
A Unified Framework for Epidemic Prediction based on Poisson Regression.
IEEE Trans. Knowl. Data Eng., 2015

Detecting multiple stochastic network motifs in network data.
Knowl. Inf. Syst., 2015

The Author-Topic-Community model for author interest profiling and community discovery.
Knowl. Inf. Syst., 2015

Preface.
Fundam. Informaticae, 2015

Inferring Latent Co-activation Patterns for Information Diffusion.
Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015

Crafting a Time-Aware Point-of-Interest Recommendation via Pairwise Interaction Tensor Factorization.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Deriving an Effective Hypergraph Model for Point of Interest Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2015

Elderly Mobility and Daily Routine Analysis Based on Behavior-Aware Flow Graph Modeling.
Proceedings of the 2015 International Conference on Healthcare Informatics, 2015

2014
Learning to improve medical decision making from imbalanced data without a priori cost.
BMC Medical Informatics Decis. Mak., 2014

Inferring disease transmission networks at a metapopulation level.
Health Inf. Sci. Syst., 2014

Privacy-preserving trajectory stream publishing.
Data Knowl. Eng., 2014

Inferring Metapopulation Based Disease Transmission Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Recovering Human Mobility Flow Models and Daily Routine Patterns in a Smart Environment.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

Negative Implications of a Power-Law Distribution: A Study on Networks of Scientific Reviewers.
Proceedings of the Complex Networks V, 2014

A Novel Topical Authority-Based Microblog Ranking.
Proceedings of the Web Technologies and Applications - 16th Asia-Pacific Web Conference, 2014

2013
Learning Topic Models by Belief Propagation.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Incorporating Structural Diversity of Neighbors in a Diffusion Model for Social Networks.
Proceedings of the 2013 IEEE/WIC/ACM International Conferences on Web Intelligence, 2013

Multiplex Topic Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Detecting stochastic temporal network motifs for human communication patterns analysis.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Evaluating ICT Literacy Differences in Arts and Science Students.
J. Next Gener. Inf. Technol., 2012

Conference Report: Open Peer-Review Experiment in the Decentralized Coordination Workshop.
IEEE Intell. Informatics Bull., 2012

International Workshop on Situation, Activity and Goal Awareness (SAGAware 2012).
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure.
Proceedings of the Advanced Data Mining and Applications, 8th International Conference, 2012

2011
A Hybrid Probabilistic Model for Unified Collaborative and Content-Based Image Tagging.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Enhancing a University Information Technology Course with Information Literacy Perspective Integrated.
J. Next Gener. Inf. Technol., 2011

Learning latent variable models from distributed and abstracted data.
Inf. Sci., 2011

Higher-Order Markov Tag-Topic Models for Tagged Documents and Images
CoRR, 2011

A study of ICT literacy in Arts and Science students.
Proceedings of the 4th International Conference on Interaction Sciences: Information Technology, 2011

Stochastic Network Motif Detection in Social Media.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Workshop overview for the international workshop on situation, activity and goal awareness.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

2010
Improving POMDP Tractability via Belief Compression and Clustering.
IEEE Trans. Syst. Man Cybern. Part B, 2010

Access Control on Semantic Web Data Using Query Rewriting.
Int. J. Organ. Collect. Intell., 2010

A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain.
Int. J. Appl. Logist., 2010

Coauthor Network Topic Models with Application to Expert Finding.
Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence, 2010

Hiding Emerging Patterns with Local Recoding Generalization.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Data Engineering in Graph Databases.
Proceedings of the Computer and Information Sciences, 2010

Integrating information literacy into a university information technology course: Motivations and lessons learned.
Proceedings of the 3rd International Conference on Information Sciences and Interaction Sciences (ICIS 2010), 2010

Patient Journey Optimization using a Multi-agent Approach.
Proceedings of the HEALTHINF 2010, 2010

A multi-agent resource allocation framework for patient journey shortening.
Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

2009
Learning element similarity matrix for semi-structured document analysis.
Knowl. Inf. Syst., 2009

On Discovering Community Trends in Social Networks.
Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Multirelational Topic Models.
Proceedings of the ICDM 2009, 2009

Mobile Information Exchange and Integration: From Query to Application Layer.
Proceedings of the Database Technologies 2009, 2009

On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression.
Proceedings of the Advances in Machine Learning, 2009

Grounding Collaborative Learning in Semantics-Based Critiquing.
Proceedings of the Methods and Applications for Advancing Distance Education Technologies, 2009

2008
Dynamic sub-ontology evolution for traditional Chinese medicine web ontology.
J. Biomed. Informatics, 2008

On-demand e-supply chain integration: A multi-agent constraint-based approach.
Expert Syst. Appl., 2008

Query Rewriting for Access Control on Semantic Web.
Proceedings of the Secure Data Management, 5th VLDB Workshop, 2008

Collaborative and content-based image labeling.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

2007
Identifying a hierarchy of bipartite subgraphs for web site abstraction.
Web Intell. Agent Syst., 2007

Community Mining from Signed Social Networks.
IEEE Trans. Knowl. Data Eng., 2007

End-to-end privacy control in service outsourcing of human intensive processes: A multi-layered Web service integration approach.
Inf. Syst. Frontiers, 2007

Grounding Collaborative Learning in Semantics-Based Critiquing.
Int. J. Distance Educ. Technol., 2007

Intelligent agents in e-services.
Electron. Commer. Res. Appl., 2007

WSC-07: Evolving the Web Services Challenge.
Proceedings of the 9th IEEE International Conference on E-Commerce Technology (CEC 2007) / 4th IEEE International Conference on Enterprise Computing, 2007

Privacy Enforcement through Workflow Systems in e-Science and Beyond.
Proceedings of the ISWC'07 Workshop on Privacy Enforcement and Accountability with Semantics (PEAS 2007), 2007

A novel orthogonal NMF-based belief compression for POMDPs.
Proceedings of the Machine Learning, 2007

A Game Theoretic Approach to Active Distributed Data Mining.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2007

Online Discussion Participation Prediction Using Non-negative Matrix Factorization.
Proceedings of the 2007 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2007

2006
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval.
Pattern Recognit., 2006

Service-Oriented Distributed Data Mining.
IEEE Internet Comput., 2006

A Privacy-Aware Service-oriented Platform for Distributed Data Mining.
Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006

Agent-Supported Web Service Composition for Supply Chain Management.
Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006

WSC-06: The Web Service Challenge.
Proceedings of the Eighth IEEE International Conference on E-Commerce Technology (CEC 2006) / Third IEEE International Conference on Enterprise Computing, 2006

Experimental Analysis of an RFID Security Protocol.
Proceedings of the 2006 IEEE International Conference on e-Business Engineering (ICEBE 2006), 2006

Graph-Based Abstraction for Privacy Preserving Manifold Visualization.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

Integrating Value-Directed Compression and Belief Space Analysis for POMDP Decomposition.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

E-Service/Process Composition Through Multi-agent Constraint Management.
Proceedings of the Business Process Management, 4th International Conference, 2006

2005
Automatic Generation of Artistic Chinese Calligraphy.
IEEE Intell. Syst., 2005

On Knowledge Grid and Grid Intelligence: A Survey.
Comput. Intell., 2005

Integrating Element and Term Semantics for Similarity-Based XML Document Clustering.
Proceedings of the 2005 IEEE / WIC / ACM International Conference on Web Intelligence (WI 2005), 2005

Learning Global Models Based on Distributed Data Abstractions.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Grounding Collaborative Knowledge Building in Semantics-Based Critiquing.
Proceedings of the Advances in Web-Based Learning - ICWL 2005, 4th International Conference, Hong Kong, China, July 31, 2005

Sub-Ontology Evolution for Service Composition with Application to Distributed E-Learning.
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005

Visualizing Global Manifold Based on Distributed Local Data Abstractions.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

Decomposing Large-Scale POMDP Via Belief State Analysis.
Proceedings of the 2005 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2005

Learning the Kernel Matrix for XML Document Clustering.
Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce, and e-Services (EEE 2005), 29 March, 2005

A Critiquing System to Support English Composition through the Use of Latent Semantic Analysis.
Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce, and e-Services (EEE 2005), 29 March, 2005

Dynamic Sub-Ontology Evolution for Collaborative Problem Solving.
Proceedings of the Agents and the Semantic Web, 2005

Towards end-to-end privacy control in the outsourcing of marketing activities: a web service integration solution.
Proceedings of the 7th International Conference on Electronic Commerce, 2005

2004
Extended latent class models for collaborative recommendation.
IEEE Trans. Syst. Man Cybern. Part A, 2004

Learning User Similarity and Rating Style for Collaborative Recommendation.
Inf. Retr., 2004

Mining Local Data Sources For Learning Global Cluster Models Via Model Exchange.
IEEE Intell. Informatics Bull., 2004

A Driving Force for e-Transformation - The Centre for e-Transformation Research / WIC Hong Kong Centre.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Mining Local Data Sources For Learning Global Cluster Models.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Dynamic Resource Selection For Service Composition in The Grid.
Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2004), 2004

Learning Hidden Markov Model Topology Based on KL Divergence for Information Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2004

Towards Autonomous Service Composition in A Grid Environment.
Proceedings of the IEEE International Conference on Web Services (ICWS'04), 2004

e-Transformation Technologies: Case Studies and the Road Ahead - A Value Chain Perspective.
Proceedings of the 2004 IEEE International Conference on e-Technology, 2004

2003
Mining customer product ratings for personalized marketing.
Decis. Support Syst., 2003

Mining Web Site?s Clusters from Link Topology and Site Hierarchy.
Proceedings of the 2003 IEEE / WIC International Conference on Web Intelligence, 2003

2002
On deformable models for visual pattern recognition.
Pattern Recognit., 2002

Bidirectional Deformable Matching with Application to Handwritten Character Extraction.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

2001
Segmentation of On-line Job Advertisements.
Proceedings of the Poster Proceedings of the Tenth International World Wide Web Conference, 2001

1999
A Bidirectional Matching Algorithm for Deformable Pattern Detection with Application to Handwritten Word Retrieval.
Proceedings of the International Conference on Computer Vision, 1999

1998
A Bayesian Framework for Deformable Pattern Recognition With Application to Handwritten Character Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 1998

1996
Competitive Mixture of Deformable Models for Pattern Classification.
Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96), 1996

1994
A new approach to indoor propagation prediction.
Proceedings of 44th IEEE Vehicular Technology Conference: Creating Tomorrow's Mobile Systems, 1994


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