William K. Cheung

140 papers A* 17A 4B 6C 8Misc 4Journal 67Unranked 33
YearRankTypeTitle / Venue / Authors
2026 J jnl
Explanation Beyond Individual Features: Instance-wise Feature Grouping for EHR Predictive Analytics.
J. Heal. Informatics Res.
Chin Wang Cheong, Kejing Yin, William K. Cheung, Ivor W. Tsang
2026 A* conf
Gated Variational Graph Autoencoders as Experts with Competition and Consensus for Multi-view Clustering.
AAAI
Zhaoliang Chen, William K. Cheung, Hong-Ning Dai, Byron Choi, Jiming Liu
2026 J jnl
When Does Multimodal Learning Help in Healthcare? A Benchmark on EHR and Chest X-Ray Fusion.
CoRR
Kejing Yin, Haizhou Xu, Wenfang Yao, Chen Liu, Zijie Chen, Yui Haang Cheung, William K. Cheung, Jing Qin
2025 A conf
HynetImpute: Missing Pattern Specialized Imputation via Hypernetwork.
ECAI
Ken Cheong, William K. Cheung, Ivor W. Tsang
2025 — conf
MSHTrans: Multi-Scale Hypergraph Transformer with Time-Series Decomposition for Temporal Anomaly Detection.
KDD (2)
Zhaoliang Chen, Zhihao Wu, William K. Cheung, Hong-Ning Dai, Byron Choi, Jiming Liu
2025 J jnl
Multimodal Disease Progression Modeling via Spatiotemporal Disentanglement and Multiscale Alignment.
CoRR
Chen Liu, Wenfang Yao, Kejing Yin, William K. Cheung, Jing Qin
2025 J jnl
Towards deployment-centric multimodal AI beyond vision and language.
CoRR
Xianyuan Liu, Jiayang Zhang, Shuo Zhou, Thijs L. van der Plas, Avish Vijayaraghavan, Anastasiia Grishina, Mengdie Zhuang, Daniel Schofield, Christopher Tomlinson, Yuhan Wang, Ruizhe Li, Louisa van Zeeland, Sina Tabakhi, Cyndie Demeocq, Xiang Li, Arunav Das, Orlando Timmerman, Thomas Baldwin-McDonald, Jinge Wu, Peizhen Bai, Zahraa Al Sahili, Omnia Alwazzan, Thao N. Do, Mohammod Naimul Islam Suvon, Angeline Wang, Lucia Cipolina-Kun, Luigi A. Moretti, Lucas Farndale, Nitisha Jain, Natalia Efremova, Yan Ge, Marta Varela, Hak-Keung Lam, Oya Çeliktutan, Ben R. Evans, Alejandro Coca-Castro, Honghan Wu, Zahraa S. Abdallah, Chen Chen, Valentin Danchev, Nataliya Tkachenko, Lei Lu, Tingting Zhu, Gregory G. Slabaugh, Roger K. Moore, William K. Cheung, Peter H. Charlton, Haiping Lu
2024 A* conf
AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval.
CVPR
Sixing Yan, William K. Cheung, Ivor W. Tsang, Wan Hang Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See
2024 — conf
An End-to-end Learning Approach for Counterfactual Generation and Individual Treatment Effect Estimation.
CAI
Feilong Wu, Kejing Yin, William K. Cheung
2024 — conf
Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation.
UNSURE@MICCAI
Sixing Yan, Haiyan Yin, Ivor W. Tsang, William K. Cheung
2024 A* conf
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency.
AAAI
Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin
2024 J jnl
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency.
CoRR
Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin
2024 C conf
Facilitating Holistic Evaluations with LLMs: Insights from Scenario-Based Experiments.
ICCE
Toru Ishida, Tongxi Liu, Hailong Wang, William K. Cheung
2024 — conf
Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization.
ACL (Findings)
Zijian Lei, Dong Qian, William K. Cheung
2024 J jnl
GEAR: Learning graph neural network explainer via adjusting gradients.
Knowl. Based Syst.
Youmin Zhang, Qun Liu, Guoyin Wang, William K. Cheung, Li Liu
2024 J jnl
Large Language Models as Partners in Student Essay Evaluation.
CoRR
Toru Ishida, Tongxi Liu, Hailong Wang, William K. Cheung
2024 J jnl
PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias.
IEEE Trans. Knowl. Data Eng.
Kejing Yin, Dong Qian, William K. Cheung
2024 J jnl
Towards explaining graph neural networks via preserving prediction ranking and structural dependency.
Inf. Process. Manag.
Youmin Zhang, William K. Cheung, Qun Liu, Guoyin Wang, Lili Yang, Li Liu
2023 J jnl
Accurate and interpretable gene expression imputation on scRNA-seq data using IGSimpute.
Briefings Bioinform.
Ke Xu, Chinwang Cheong, Werner Pieter Veldsman, Aiping Lyu, William K. Cheung, Lu Zhang
2023 J jnl
Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding.
ACM Trans. Intell. Syst. Technol.
Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
2023 J jnl
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation.
IEEE Trans. Medical Imaging
Sixing Yan, William K. Cheung, Wan Hang Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See
2023 J jnl
Efficient and Optimal Algorithms for Tree Summarization With Weighted Terminologies.
IEEE Trans. Knowl. Data Eng.
Xuliang Zhu, Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu
2023 J jnl
Learning Hierarchical Variational Autoencoders With Mutual Information Maximization for Autoregressive Sequence Modeling.
IEEE Trans. Pattern Anal. Mach. Intell.
Dong Qian, William K. Cheung
2023 J jnl
Toward Memory-Efficient and Interpretable Factorization Machines via Data and Model Binarization.
IEEE Access
Yu Geng, Liang Lan, William K. Cheung
2023 J jnl
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors.
IEEE Trans. Knowl. Data Eng.
Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2022 — conf
Assessing Non-autoregressive Alignment in Neural Machine Translation via Word Reordering.
EMNLP (Findings)
Chun-Hin Tse, Ester Leung, William K. Cheung
2022 J jnl
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation.
CoRR
Sixing Yan, William K. Cheung, Wan Hang Keith Chiu, Terence M. Tong, Charles K. Cheung, Simon See
2022 J jnl
LRP2A: Layer-wise Relevance Propagation based Adversarial attacking for Graph Neural Networks.
Knowl. Based Syst.
Li Liu, Yong Du, Ye Wang, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2022 J jnl
Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records.
IEEE Trans. Knowl. Data Eng.
Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
2022 J jnl
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation Learning.
CoRR
Li Liu, Penggang Chen, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2022 J jnl
dynDeepDRIM: a dynamic deep learning model to infer direct regulatory interactions using time-course single-cell gene expression data.
Briefings Bioinform.
Yu Xu, Jiaxing Chen, Aiping Lyu, William K. Cheung, Lu Zhang
2021 J jnl
DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data.
Briefings Bioinform.
Jiaxing Chen, Chinwang Cheong, Liang Lan, Xin Zhou, Jiming Liu, Aiping Lyu, William K. Cheung, Lu Zhang
2021 J jnl
Detecting High-Engaging Breaking News Rumors in Social Media.
ACM Trans. Manag. Inf. Syst.
Sarah A. Alkhodair, Benjamin C. M. Fung, Steven H. H. Ding, William K. Cheung, Shih-Chia Huang
2021 A* conf
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation.
NeurIPS
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok
2021 J jnl
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation.
CoRR
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok
2021 A conf
TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling.
SDM
Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
2021 J jnl
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors.
CoRR
Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
2020 J jnl
Context-Aware Time Series Imputation for Multi-Analyte Clinical Data.
J. Heal. Informatics Res.
Kejing Yin, Liaoliao Feng, William K. Cheung
2020 B conf
Embedding for Anomaly Detection on Health Insurance Claims.
DSAA
Jiaqi Lu, Benjamin C. M. Fung, William K. Cheung
2020 J jnl
Joint Learning of Embedding-Based Parent Components and Information Diffusion for Social Networks.
IEEE Access
Qing Bao, William K. Cheung, Benyun Shi, Hongjun Qiu, Lijia Ma
2020 J jnl
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records.
CoRR
Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
2020 A* conf
LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values.
KDD
Kejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun
2020 J jnl
Ontology-based Graph Visualization for Summarized View.
CoRR
Xuliang Zhu, Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu
2020 J jnl
Structural Representation Learning for User Alignment Across Social Networks.
IEEE Trans. Knowl. Data Eng.
Li Liu, Xin Li, William K. Cheung, Lejian Liao
2019 B conf
An Environmental-adaptive Wi-Fi Localization Approach with Low Start-up Cost for the Exhibition Industry.
RTCSA
Joseph K. Ng, Hao Li, Victor C. W. Cheng, William K. Cheung
2019 — conf
Context-Aware Imputation for Clinical Time Series.
ICHI
Kejing Yin, William K. Cheung
2019 — conf
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation.
EMNLP/IJCNLP (1)
Dong Qian, William K. Cheung
2019 — conf
Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks.
ICDE Workshops
Xin Ju, Xiaofeng Zhang, William K. Cheung
2019 A* conf
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization.
AAAI
Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
2019 J jnl
Learning Stylometric Representations for Authorship Analysis.
IEEE Trans. Cybern.
Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung
2019 A* conf
Medical Concept Embedding with Multiple Ontological Representations.
IJCAI
Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
2019 A* conf
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval.
AAAI
Junjie Chen, William K. Cheung
2018 J jnl
A Structural Representation Learning for Multi-relational Networks.
CoRR
Xin Li, Huiting Hong, Lin Liu, William K. Cheung
2018 J jnl
A heterogeneous hidden Markov model for mobile app recommendation.
Knowl. Inf. Syst.
Victor C. Cheng, Li Chen, William K. Cheung, Chi-kuen Fok
2018 Misc conf
Aphash: Anchor-Based Probability Hashing for Image Retrieval.
ICASSP
Junjie Chen, William K. Cheung, Anran Wang
2018 J jnl
Automatic Extraction of Behavioral Patterns for Elderly Mobility and Daily Routine Analysis.
ACM Trans. Intell. Syst. Technol.
Chen Li, William K. Cheung, Jiming Liu, Joseph Kee-Yin Ng
2018 B conf
Fast Setup and Robust WiFi Localization for the Exhibition Industry.
AINA
Victor C. W. Cheng, Hao Li, Joseph K. Ng, William K. Cheung
2018 J jnl
Fast indoor localization for exhibition venues with calibrating heterogeneous mobile devices.
Internet Things
Hao Li, Joseph K. Ng, Victor C. W. Cheng, William K. Cheung
2018 A* conf
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization.
IJCAI
Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon
2018 A* conf
Learning Deep Unsupervised Binary Codes for Image Retrieval.
IJCAI
Junjie Chen, William K. Cheung, Anran Wang
2018 J jnl
Personalized Next Point-of-Interest Recommendation via Latent Behavior Patterns Inference.
CoRR
Jing He, Xin Li, Lejian Liao, William K. Cheung
2017 J jnl
A Component-Based Diffusion Model With Structural Diversity for Social Networks.
IEEE Trans. Cybern.
Qing Bao, William K. Cheung, Yu Zhang, Jiming Liu
2017 A* conf
A Structural Representation Learning for Multi-relational Networks.
IJCAI
Lin Liu, Xin Li, William K. Cheung, Chengcheng Xu
2017 J jnl
EssayCritic: Writing to Learn with a Knowledge-Based Design Critiquing System.
J. Educ. Technol. Soc.
Anders I. Mørch, Irina Engeness, Victor C. Cheng, William K. Cheung, Kelvin C. Wong
2017 — conf
HKBU at MediaEval 2017 - Medico: Medical Multimedia Task.
MediaEval
Yang Liu, Zhonglei Gu, William K. Cheung
2017 A conf
Ontology-based Graph Visualization for Summarized View.
CIKM
Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu
2017 J jnl
Towards well-specified semi-supervised model-based classifiers via structural adaptation.
CoRR
Zhaocai Sun, William K. Cheung, Xiaofeng Zhang, Jun Yang
2016 A* conf
Aligning Users across Social Networks Using Network Embedding.
IJCAI
Li Liu, William K. Cheung, Xin Li, Lejian Liao
2016 J jnl
Effective successive POI recommendation inferred with individual behavior and group preference.
Neurocomputing
Jialiang Chen, Xin Li, William K. Cheung, Kan Li
2016 A* conf
Inferring Motif-Based Diffusion Models for Social Networks.
IJCAI
Qing Bao, William K. Cheung, Jiming Liu
2016 A* conf
Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns.
AAAI
Jing He, Xin Li, Lejian Liao, Dandan Song, William K. Cheung
2016 J jnl
Learning Stylometric Representations for Authorship Analysis.
CoRR
Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung
2016 J jnl
Mining from distributed and abstracted data.
WIREs Data Mining Knowl. Discov.
Xiaofeng Zhang, William K. Cheung, Yunming Ye
2015 J jnl
A Unified Framework for Epidemic Prediction based on Poisson Regression.
IEEE Trans. Knowl. Data Eng.
Yu Zhang, William K. Cheung, Jiming Liu
2015 C conf
Crafting a Time-Aware Point-of-Interest Recommendation via Pairwise Interaction Tensor Factorization.
KSEM
Xinqiang Zhao, Xin Li, Lejian Liao, Dandan Song, William K. Cheung
2015 C conf
Deriving an Effective Hypergraph Model for Point of Interest Recommendation.
KSEM
Meng Qi, Xin Li, Lejian Liao, Dandan Song, William K. Cheung
2015 J jnl
Detecting multiple stochastic network motifs in network data.
Knowl. Inf. Syst.
Kai Liu, William K. Cheung, Jiming Liu
2015 — conf
Elderly Mobility and Daily Routine Analysis Based on Behavior-Aware Flow Graph Modeling.
ICHI
Chen Li, William K. Cheung, Jiming Liu
2015 J jnl
The Author-Topic-Community model for author interest profiling and community discovery.
Knowl. Inf. Syst.
Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang, Dian-Hui Chu, Xin Li
2014 C conf
A Novel Topical Authority-Based Microblog Ranking.
APWeb
Yanmei Zhai, Xin Li, Jialiang Chen, Xiumei Fan, William K. Cheung
2014 J jnl
Learning to improve medical decision making from imbalanced data without a priori cost.
BMC Medical Informatics Decis. Mak.
Xiang Wan, Jiming Liu, William K. Cheung, Tiejun Tong
2014 — conf
Negative Implications of a Power-Law Distribution: A Study on Networks of Scientific Reviewers.
CompleNet
Song Qin, Marius-Calin Silaghi, Ronaldo Menezes, William K. Cheung
2014 J jnl
Privacy-preserving trajectory stream publishing.
Data Knowl. Eng.
Khalil Al-Hussaeni, Benjamin C. M. Fung, William K. Cheung
2014 — conf
Recovering Human Mobility Flow Models and Daily Routine Patterns in a Smart Environment.
ICDM Workshops
Li Chen, William K. Cheung
2013 B conf
Detecting stochastic temporal network motifs for human communication patterns analysis.
ASONAM
Kai Liu, William K. Cheung, Jiming Liu
2013 — conf
Incorporating Structural Diversity of Neighbors in a Diffusion Model for Social Networks.
Web Intelligence
Qing Bao, William K. Cheung, Yu Zhang
2013 J jnl
Learning Topic Models by Belief Propagation.
IEEE Trans. Pattern Anal. Mach. Intell.
Jia Zeng, William K. Cheung, Jiming Liu
2013 — conf
Multiplex Topic Models.
PAKDD (1)
Juan Yang, Jia Zeng, William K. Cheung
2012 J jnl
Conference Report: Open Peer-Review Experiment in the Decentralized Coordination Workshop.
IEEE Intell. Informatics Bull.
Marius Silaghi, Song Qin, William K. Cheung
2012 — conf
Detecting Multiple Stochastic Network Motifs in Network Data.
PAKDD (2)
Kai Liu, William K. Cheung, Jiming Liu
2012 J jnl
Evaluating ICT Literacy Differences in Arts and Science Students.
J. Next Gener. Inf. Technol.
Kelvin C. K. Wong, William K. Cheung
2012 Misc conf
International Workshop on Situation, Activity and Goal Awareness (SAGAware 2012).
UbiComp
Parisa Rashidi, Liming Chen, William K. Cheung
2012 C conf
The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure.
ADMA
Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang
2011 J jnl
A Hybrid Probabilistic Model for Unified Collaborative and Content-Based Image Tagging.
IEEE Trans. Pattern Anal. Mach. Intell.
Ning Zhou, William K. Cheung, Guoping Qiu, Xiangyang Xue
2011 J jnl
Enhancing a University Information Technology Course with Information Literacy Perspective Integrated.
J. Next Gener. Inf. Technol.
Kelvin C. K. Wong, William K. Cheung
2011 J jnl
Higher-Order Markov Tag-Topic Models for Tagged Documents and Images
CoRR
Jia Zeng, Wei Feng, William K. Cheung, Chun-hung Li
2011 J jnl
Learning Topic Models by Belief Propagation
CoRR
Jia Zeng, William K. Cheung, Jiming Liu
2011 J jnl
Learning latent variable models from distributed and abstracted data.
Inf. Sci.
Xiaofeng Zhang, William K. Cheung, Chun-hung Li
2011 — conf
Stochastic Network Motif Detection in Social Media.
ICDM Workshops
Kai Liu, William K. Cheung, Jiming Liu
2011 Misc conf
Workshop overview for the international workshop on situation, activity and goal awareness.
UbiComp
Liming Chen, Parisa Rashidi, Ismail Khalil, Zhiwen Yu, Christian Becker, William K. Cheung
2010 J jnl
A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain.
Int. J. Appl. Logist.
Xiaofeng Zhang, William K. Cheung, Zongwei Luo, Frank Tong
2010 — conf
A multi-agent resource allocation framework for patient journey shortening.
BIBM Workshops
Chung-ho Choi, William K. Cheung
2010 — conf
Coauthor Network Topic Models with Application to Expert Finding.
Web Intelligence
Jia Zeng, William K. Cheung, Chun-hung Li, Jiming Liu
2010 J jnl
Improving POMDP Tractability via Belief Compression and Clustering.
IEEE Trans. Syst. Man Cybern. Part B
Xin Li, William K. Cheung, Jiming Liu
2010 C conf
Integrating information literacy into a university information technology course: Motivations and lessons learned.
ICIS
Kelvin C. K. Wong, William K. Cheung
2010 — conf
Patient Journey Optimization using a Multi-agent Approach.
HEALTHINF
Chung-ho Choi, William K. Cheung, Jiming Liu, Ian T. Cheung
2009 — ch.
Grounding Collaborative Learning in Semantics-Based Critiquing.
Methods and Applications for Advancing Distance Education Technologies
William K. Cheung, Anders I. Mørch, Kelvin C. Wong, Cynthia Lee, Jiming Liu, Mason H. Lam
2009 Misc conf
Mobile Information Exchange and Integration: From Query to Application Layer.
ADC
Van T. K. Tran, Raymond K. Wong, William K. Cheung, Jiming Liu
2009 A* conf
Multirelational Topic Models.
ICDM
Jia Zeng, William K. Cheung, Chun-hung Li, Jiming Liu
2009 C conf
On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression.
ACML
Xin Li, William K. Cheung, Jiming Liu
2009 — conf
On Discovering Community Trends in Social Networks.
Web Intelligence
Jian Li, William K. Cheung, Jiming Liu, Chun-hung Li
2008 B conf
Collaborative and content-based image labeling.
ICPR
Ning Zhou, William K. Cheung, Xiangyang Xue, Guoping Qiu
2008 J jnl
Dynamic sub-ontology evolution for traditional Chinese medicine web ontology.
J. Biomed. Informatics
Yuxin Mao, Zhaohui Wu, Wenya Tian, Xiaohong Jiang, William K. Cheung
2008 J jnl
On-demand e-supply chain integration: A multi-agent constraint-based approach.
Expert Syst. Appl.
Minhong Wang, Jiming Liu, Huaiqing Wang, William K. Cheung, Xiao-Feng Xie
2008 — conf
Query Rewriting for Access Control on Semantic Web.
Secure Data Management
Jian Li, William K. Cheung
2007 — conf
A Game Theoretic Approach to Active Distributed Data Mining.
IAT
Xiaofeng Zhang, William K. Cheung
2007 J jnl
Community Mining from Signed Social Networks.
IEEE Trans. Knowl. Data Eng.
Bo Yang, William K. Cheung, Jiming Liu
2007 J jnl
End-to-end privacy control in service outsourcing of human intensive processes: A multi-layered Web service integration approach.
Inf. Syst. Frontiers
Patrick C. K. Hung, Dickson K. W. Chiu, W. W. Fung, William K. Cheung, Raymond K. Wong, Samuel P. M. Choi, Eleanna Kafeza, James T. Kwok, Joshua C. C. Pun, Vivying S. Y. Cheng
2007 J jnl
Grounding Collaborative Learning in Semantics-Based Critiquing.
Int. J. Distance Educ. Technol.
William K. Cheung, Anders I. Mørch, Kelvin C. Wong, Cynthia Lee, Jiming Liu, Mason H. Lam
2007 J jnl
Intelligent agents in e-services.
Electron. Commer. Res. Appl.
William K. Cheung, Jane Yung-jen Hsu
2007 — conf
Online Discussion Participation Prediction Using Non-negative Matrix Factorization.
Web Intelligence/IAT Workshops
Yik-Hing Fung, Chun Hung Li, William K. Cheung
2006 — conf
A Privacy-Aware Service-oriented Platform for Distributed Data Mining.
CEC/EEE
Xiaofeng Zhang, Ho-Fai Wong, William K. Cheung
2006 — conf
Agent-Supported Web Service Composition for Supply Chain Management.
CEC/EEE
Minhong Wang, William K. Cheung, Jiming Liu, Zongwei Luo
2006 A conf
E-Service/Process Composition Through Multi-agent Constraint Management.
Business Process Management
Minhong Wang, William K. Cheung, Jiming Liu, Xiao-Feng Xie, Zongwei Luo
2006 — conf
Experimental Analysis of an RFID Security Protocol.
ICEBE
Zongwei Luo, Terry Chan, Jenny S. Li, Edward C. Wong, William K. Cheung, Victor C. Ng, Wilton Fok
2006 — conf
Graph-Based Abstraction for Privacy Preserving Manifold Visualization.
IAT Workshops
Xiaofeng Zhang, William K. Cheung, Chun-hung Li
2006 — conf
Integrating Value-Directed Compression and Belief Space Analysis for POMDP Decomposition.
IAT
Xin Li, William K. Cheung, Jiming Liu
2006 J jnl
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval.
Pattern Recognit.
Hong Chang, Dit-Yan Yeung, William K. Cheung
2006 J jnl
Service-Oriented Distributed Data Mining.
IEEE Internet Comput.
William K. Cheung, Xiaofeng Zhang, Ho-Fai Wong, Jiming Liu, Zongwei Luo, Frank C. H. Tong
2005 — conf
A Critiquing System to Support English Composition through the Use of Latent Semantic Analysis.
EEE
Kelvin C. Wong, Anders I. Mørch, William K. Cheung, Mason H. Lam, Janti P. Tang
2005 J jnl
Automatic Generation of Artistic Chinese Calligraphy.
IEEE Intell. Syst.
Songhua Xu, Francis C. M. Lau, William K. Cheung, Yunhe Pan
2005 — conf
Decomposing Large-Scale POMDP Via Belief State Analysis.
IAT
Xin Li, William K. Cheung, Jiming Liu
2005 — conf
Dynamic Sub-Ontology Evolution for Collaborative Problem Solving.
AAAI Fall Symposium: Agents and the Semantic Web
Yuxin Mao, William K. Cheung, Zhaohui Wu, Jiming Liu
2005 — conf
Grounding Collaborative Knowledge Building in Semantics-Based Critiquing.
ICWL
Anders I. Mørch, William K. Cheung, Kelvin C. Wong, Jiming Liu, Cynthia Lee, Mason H. Lam, Janti P. Tang
2005 — conf
Integrating Element and Term Semantics for Similarity-Based XML Document Clustering.
Web Intelligence
Jianwu Yang, William K. Cheung, Xiaoou Chen
2005 A* conf
Learning Global Models Based on Distributed Data Abstractions.
IJCAI
Xiaofeng Zhang, William K. Cheung
2005 J jnl
On Knowledge Grid and Grid Intelligence: A Survey.
Comput. Intell.
William K. Cheung, Jiming Liu
2005 B conf
Sub-Ontology Evolution for Service Composition with Application to Distributed E-Learning.
ICTAI
Yuxin Mao, William K. Cheung, Zhaohui Wu, Jiming Liu
2005 C conf
Towards end-to-end privacy control in the outsourcing of marketing activities: a web service integration solution.
ICEC
Patrick C. K. Hung, Dickson K. W. Chiu, W. W. Fung, William K. Cheung, Raymond K. Wong, Samuel P. M. Choi, Eleanna Kafeza, James T. Kwok, Joshua C. C. Pun, Vivying S. Y. Cheng
2005 A* conf
Visualizing Global Manifold Based on Distributed Local Data Abstractions.
ICDM
Xiaofeng Zhang, William K. Cheung