William K. Cheung

ORCID

Publication Activity (10 Years)

Years Active: 2005-2023
Publications (10 Years): 58

Top Venues

CoRR

IJCAI

IEEE Trans. Knowl. Data Eng.

Briefings Bioinform.

Publications

Xuliang Zhu, Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu
Efficient and Optimal Algorithms for Tree Summarization With Weighted Terminologies. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Dong Qian, William K. Cheung
Learning Hierarchical Variational Autoencoders With Mutual Information Maximization for Autoregressive Sequence Modeling. IEEE Trans. Pattern Anal. Mach. Intell. 45 (2) (2023)
Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Ke Xu, Chinwang Cheong, Werner P. Veldsman, Aiping Lyu, William K. Cheung, Lu Zhang
Accurate and interpretable gene expression imputation on scRNA-seq data using IGSimpute. Briefings Bioinform. 24 (3) (2023)
Yu Xu, Jiaxing Chen, Aiping Lyu, William K. Cheung, Lu Zhang
dynDeepDRIM: a dynamic deep learning model to infer direct regulatory interactions using time-course single-cell gene expression data. Briefings Bioinform. 23 (6) (2022)
Sixing Yan, William K. Cheung, Keith Chiu, Terence M. Tong, Charles K. Cheung, Simon See
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. CoRR (2022)
Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
Learning Inter-Modal Correspondence and Phenotypes From Multi-Modal Electronic Health Records. IEEE Trans. Knowl. Data Eng. 34 (9) (2022)
Li Liu, Penggang Chen, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users across Networks via Regularized Representation Learning. CoRR (2022)
Chun-Hin Tse, Ester Leung, William K. Cheung
Assessing Non-autoregressive Alignment in Neural Machine Translation via Word Reordering. EMNLP (Findings) (2022)
Li Liu, Yong Du, Ye Wang, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
LRP2A: Layer-wise Relevance Propagation based Adversarial attacking for Graph Neural Networks. Knowl. Based Syst. 256 (2022)
Jiaxing Chen, Chinwang Cheong, Liang Lan, Xin Zhou, Jiming Liu, Aiping Lyu, William K. Cheung, Lu Zhang
DeepDRIM: a deep neural network to reconstruct cell-type-specific gene regulatory network using single-cell RNA-seq data. Briefings Bioinform. 22 (6) (2021)
Zihan Yan, Li Liu, Xin Li, William K. Cheung, Youmin Zhang, Qun Liu, Guoyin Wang
Towards Improving Embedding Based Models of Social Network Alignment via Pseudo Anchors. CoRR (2021)
Sarah A. Alkhodair, Benjamin C. M. Fung, Steven H. H. Ding, William K. Cheung, Shih-Chia Huang
Detecting High-Engaging Breaking News Rumors in Social Media. ACM Trans. Manag. Inf. Syst. 12 (1) (2021)
Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling. SDM (2021)
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation. CoRR (2021)
Haoang Chi, Feng Liu, Wenjing Yang, Long Lan, Tongliang Liu, Bo Han, William K. Cheung, James T. Kwok
TOHAN: A One-step Approach towards Few-shot Hypothesis Adaptation. NeurIPS (2021)
Kejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun
LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values. KDD (2020)
Jiaqi Lu, Benjamin C. M. Fung, William K. Cheung
Embedding for Anomaly Detection on Health Insurance Claims. DSAA (2020)
Qing Bao, William K. Cheung, Benyun Shi, Hongjun Qiu, Lijia Ma
Joint Learning of Embedding-Based Parent Components and Information Diffusion for Social Networks. IEEE Access 8 (2020)
Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records. CoRR (2020)
Kejing Yin, Liaoliao Feng, William K. Cheung
Context-Aware Time Series Imputation for Multi-Analyte Clinical Data. J. Heal. Informatics Res. 4 (4) (2020)
Li Liu, Xin Li, William K. Cheung, Lejian Liao
Structural Representation Learning for User Alignment Across Social Networks. IEEE Trans. Knowl. Data Eng. 32 (9) (2020)
Xuliang Zhu, Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu
Ontology-based Graph Visualization for Summarized View. CoRR (2020)
Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
Medical Concept Embedding with Multiple Ontological Representations. IJCAI (2019)
Dong Qian, William K. Cheung
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation. EMNLP/IJCNLP (1) (2019)
Xin Ju, Xiaofeng Zhang, William K. Cheung
Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks. ICDE Workshops (2019)
Kejing Yin, William K. Cheung
Context-Aware Imputation for Clinical Time Series. ICHI (2019)
Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung
Learning Stylometric Representations for Authorship Analysis. IEEE Trans. Cybern. 49 (1) (2019)
Joseph K. Ng, Hao Li, Victor C. W. Cheng, William K. Cheung
An Environmental-adaptive Wi-Fi Localization Approach with Low Start-up Cost for the Exhibition Industry. RTCSA (2019)
Junjie Chen, William K. Cheung
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval. AAAI (2019)
Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon
Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization. AAAI (2019)
Chen Li, William K. Cheung, Jiming Liu, Joseph Kee-Yin Ng
Automatic Extraction of Behavioral Patterns for Elderly Mobility and Daily Routine Analysis. ACM Trans. Intell. Syst. Technol. 9 (5) (2018)
Victor C. Cheng, Li Chen, William K. Cheung, Chi-kuen Fok
A heterogeneous hidden Markov model for mobile app recommendation. Knowl. Inf. Syst. 57 (1) (2018)
Junjie Chen, William K. Cheung, Anran Wang
Aphash: Anchor-Based Probability Hashing for Image Retrieval. ICASSP (2018)
Victor C. W. Cheng, Hao Li, Joseph K. Ng, William K. Cheung
Fast Setup and Robust WiFi Localization for the Exhibition Industry. AINA (2018)
Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon
Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization. IJCAI (2018)
Junjie Chen, William K. Cheung, Anran Wang
Learning Deep Unsupervised Binary Codes for Image Retrieval. IJCAI (2018)
Xin Li, Huiting Hong, Lin Liu, William K. Cheung
A Structural Representation Learning for Multi-relational Networks. CoRR (2018)
Jing He, Xin Li, Lejian Liao, William K. Cheung
Personalized Next Point-of-Interest Recommendation via Latent Behavior Patterns Inference. CoRR (2018)
Hao Li, Joseph K. Ng, Victor C. W. Cheng, William K. Cheung
Fast indoor localization for exhibition venues with calibrating heterogeneous mobile devices. Internet Things (2018)
Qing Bao, William K. Cheung, Yu Zhang, Jiming Liu
A Component-Based Diffusion Model With Structural Diversity for Social Networks. IEEE Trans. Cybern. 47 (4) (2017)
Lin Liu, Xin Li, William K. Cheung, Chengcheng Xu
A Structural Representation Learning for Multi-relational Networks. IJCAI (2017)
Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu
Ontology-based Graph Visualization for Summarized View. CIKM (2017)
Yang Liu, Zhonglei Gu, William K. Cheung
HKBU at MediaEval 2017 - Medico: Medical Multimedia Task. MediaEval (2017)
Zhaocai Sun, William K. Cheung, Xiaofeng Zhang, Jun Yang
Towards well-specified semi-supervised model-based classifiers via structural adaptation. CoRR (2017)
Anders I. Mørch, Irina Engeness, Victor C. Cheng, William K. Cheung, Kelvin C. Wong
EssayCritic: Writing to Learn with a Knowledge-Based Design Critiquing System. J. Educ. Technol. Soc. 20 (2) (2017)
Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung
Learning Stylometric Representations for Authorship Analysis. CoRR (2016)
Jing He, Xin Li, Lejian Liao, Dandan Song, William K. Cheung
Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns. AAAI (2016)
Qing Bao, William K. Cheung, Jiming Liu
Inferring Motif-Based Diffusion Models for Social Networks. IJCAI (2016)
Jialiang Chen, Xin Li, William K. Cheung, Kan Li
Effective successive POI recommendation inferred with individual behavior and group preference. Neurocomputing 210 (2016)
Li Liu, William K. Cheung, Xin Li, Lejian Liao
Aligning Users across Social Networks Using Network Embedding. IJCAI (2016)
Xiaofeng Zhang, William K. Cheung, Yunming Ye
Mining from distributed and abstracted data. WIREs Data Mining Knowl. Discov. 6 (5) (2016)
Meng Qi, Xin Li, Lejian Liao, Dandan Song, William K. Cheung
Deriving an Effective Hypergraph Model for Point of Interest Recommendation. KSEM (2015)
Xinqiang Zhao, Xin Li, Lejian Liao, Dandan Song, William K. Cheung
Crafting a Time-Aware Point-of-Interest Recommendation via Pairwise Interaction Tensor Factorization. KSEM (2015)
Yu Zhang, William K. Cheung, Jiming Liu
A Unified Framework for Epidemic Prediction based on Poisson Regression. IEEE Trans. Knowl. Data Eng. 27 (11) (2015)
Kai Liu, William K. Cheung, Jiming Liu
Detecting multiple stochastic network motifs in network data. Knowl. Inf. Syst. 42 (1) (2015)
Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang, Dian-Hui Chu, Xin Li
The Author-Topic-Community model for author interest profiling and community discovery. Knowl. Inf. Syst. 44 (2) (2015)
Chen Li, William K. Cheung, Jiming Liu
Elderly Mobility and Daily Routine Analysis Based on Behavior-Aware Flow Graph Modeling. ICHI (2015)
Khalil Al-Hussaeni, Benjamin C. M. Fung, William K. Cheung
Privacy-preserving trajectory stream publishing. Data Knowl. Eng. 94 (2014)
Li Chen, William K. Cheung
Recovering Human Mobility Flow Models and Daily Routine Patterns in a Smart Environment. ICDM Workshops (2014)
Xiang Wan, Jiming Liu, William K. Cheung, Tiejun Tong
Learning to improve medical decision making from imbalanced data without a priori cost. BMC Medical Informatics Decis. Mak. 14 (2014)
Song Qin, Marius-Calin Silaghi, Ronaldo Menezes, William K. Cheung
Negative Implications of a Power-Law Distribution: A Study on Networks of Scientific Reviewers. CompleNet (2014)
Yanmei Zhai, Xin Li, Jialiang Chen, Xiumei Fan, William K. Cheung
A Novel Topical Authority-Based Microblog Ranking. APWeb (2014)
Qing Bao, William K. Cheung, Yu Zhang
Incorporating Structural Diversity of Neighbors in a Diffusion Model for Social Networks. Web Intelligence (2013)
Jia Zeng, William K. Cheung, Jiming Liu
Learning Topic Models by Belief Propagation. IEEE Trans. Pattern Anal. Mach. Intell. 35 (5) (2013)
Kai Liu, William K. Cheung, Jiming Liu
Detecting stochastic temporal network motifs for human communication patterns analysis. ASONAM (2013)
Juan Yang, Jia Zeng, William K. Cheung
Multiplex Topic Models. PAKDD (1) (2013)
Kai Liu, William K. Cheung, Jiming Liu
Detecting Multiple Stochastic Network Motifs in Network Data. PAKDD (2) (2012)
Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang
The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure. ADMA (2012)
Parisa Rashidi, Liming Chen, William K. Cheung
International Workshop on Situation, Activity and Goal Awareness (SAGAware 2012). UbiComp (2012)
Kelvin C. K. Wong, William K. Cheung
Evaluating ICT Literacy Differences in Arts and Science Students. J. Next Gener. Inf. Technol. 3 (1) (2012)
Marius Silaghi, Song Qin, William K. Cheung
Conference Report: Open Peer-Review Experiment in the Decentralized Coordination Workshop. IEEE Intell. Informatics Bull. 13 (1) (2012)
Ning Zhou, William K. Cheung, Guoping Qiu, Xiangyang Xue
A Hybrid Probabilistic Model for Unified Collaborative and Content-Based Image Tagging. IEEE Trans. Pattern Anal. Mach. Intell. 33 (7) (2011)
Kelvin C. K. Wong, William K. Cheung
Enhancing a University Information Technology Course with Information Literacy Perspective Integrated. J. Next Gener. Inf. Technol. 2 (1) (2011)
Jia Zeng, William K. Cheung, Jiming Liu
Learning Topic Models by Belief Propagation CoRR (2011)
Jia Zeng, Wei Feng, William K. Cheung, Chun-hung Li
Higher-Order Markov Tag-Topic Models for Tagged Documents and Images CoRR (2011)
Kai Liu, William K. Cheung, Jiming Liu
Stochastic Network Motif Detection in Social Media. ICDM Workshops (2011)
Liming Chen, Parisa Rashidi, Ismail Khalil, Zhiwen Yu, Christian Becker, William K. Cheung
Workshop overview for the international workshop on situation, activity and goal awareness. UbiComp (2011)
Xiaofeng Zhang, William K. Cheung, Chun-hung Li
Learning latent variable models from distributed and abstracted data. Inf. Sci. 181 (14) (2011)
Chung-ho Choi, William K. Cheung, Jiming Liu, Ian T. Cheung
Patient Journey Optimization using a Multi-agent Approach. HEALTHINF (2010)
Jia Zeng, William K. Cheung, Chun-hung Li, Jiming Liu
Coauthor Network Topic Models with Application to Expert Finding. Web Intelligence (2010)
Xiaofeng Zhang, William K. Cheung, Zongwei Luo, Frank Tong
A Game Theoretic Approach for Sensitive Information Sharing in Supply Chain. Int. J. Appl. Logist. 1 (4) (2010)
Chung-ho Choi, William K. Cheung
A multi-agent resource allocation framework for patient journey shortening. BIBM Workshops (2010)
Kelvin C. K. Wong, William K. Cheung
Integrating information literacy into a university information technology course: Motivations and lessons learned. ICIS (2010)
Xin Li, William K. Cheung, Jiming Liu
Improving POMDP Tractability via Belief Compression and Clustering. IEEE Trans. Syst. Man Cybern. Part B 40 (1) (2010)
Jian Li, William K. Cheung, Jiming Liu, Chun-hung Li
On Discovering Community Trends in Social Networks. Web Intelligence (2009)
Van T. K. Tran, Raymond K. Wong, William K. Cheung, Jiming Liu
Mobile Information Exchange and Integration: From Query to Application Layer. ADC (2009)
Xin Li, William K. Cheung, Jiming Liu
On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression. ACML (2009)
Jia Zeng, William K. Cheung, Chun-hung Li, Jiming Liu
Multirelational Topic Models. ICDM (2009)
Ning Zhou, William K. Cheung, Xiangyang Xue, Guoping Qiu
Collaborative and content-based image labeling. ICPR (2008)
Jian Li, William K. Cheung
Query Rewriting for Access Control on Semantic Web. Secure Data Management (2008)
Minhong Wang, Jiming Liu, Huaiqing Wang, William K. Cheung, Xiao-Feng Xie
On-demand e-supply chain integration: A multi-agent constraint-based approach. Expert Syst. Appl. 34 (4) (2008)
Yuxin Mao, Zhaohui Wu, Wenya Tian, Xiaohong Jiang, William K. Cheung
Dynamic sub-ontology evolution for traditional Chinese medicine web ontology. J. Biomed. Informatics 41 (5) (2008)
William K. Cheung, Jane Yung-jen Hsu
Intelligent agents in e-services. Electron. Commer. Res. Appl. 6 (4) (2007)
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
End-to-end privacy control in service outsourcing of human intensive processes: A multi-layered Web service integration approach. Inf. Syst. Frontiers 9 (1) (2007)
Bo Yang, William K. Cheung, Jiming Liu
Community Mining from Signed Social Networks. IEEE Trans. Knowl. Data Eng. 19 (10) (2007)
Yik-Hing Fung, Chun Hung Li, William K. Cheung
Online Discussion Participation Prediction Using Non-negative Matrix Factorization. Web Intelligence/IAT Workshops (2007)
Xiaofeng Zhang, William K. Cheung
A Game Theoretic Approach to Active Distributed Data Mining. IAT (2007)
William K. Cheung, Anders I. Mørch, Kelvin C. Wong, Cynthia Lee, Jiming Liu, Mason H. Lam
Grounding Collaborative Learning in Semantics-Based Critiquing. Int. J. Distance Educ. Technol. 5 (2) (2007)
William K. Cheung, Xiaofeng Zhang, Ho-Fai Wong, Jiming Liu, Zongwei Luo, Frank C. H. Tong
Service-Oriented Distributed Data Mining. IEEE Internet Comput. 10 (4) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

William K. Cheung