| 2026 | AAAI | Gated Variational Graph Autoencoders as Experts with Competition and Consensus for Multi-view Clustering. | Zhaoliang Chen, William K. Cheung, Hong-Ning Dai, Byron Choi, Jiming Liu |
| 2026 | ACL | X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation. | Kun Zhao, Chenghao Xiao, Sixing Yan, Haoteng Tang, William K. Cheung, Noura Al Moubayed, Liang Zhan, Chenghua Lin |
| 2025 | ECAI | HynetImpute: Missing Pattern Specialized Imputation via Hypernetwork. | Ken Cheong, William K. Cheung, Ivor W. Tsang |
| 2025 | KDD | MSHTrans: Multi-Scale Hypergraph Transformer with Time-Series Decomposition for Temporal Anomaly Detection. | Zhaoliang Chen, Zhihao Wu, William K. Cheung, Hong-Ning Dai, Byron Choi, Jiming Liu |
| 2024 | AAAI | DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency. | Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin |
| 2024 | ACL | Fast Randomized Low-Rank Adaptation of Pre-trained Language Models with PAC Regularization. | Zijian Lei, Dong Qian, William K. Cheung |
| 2024 | CVPR | AHIVE: Anatomy-Aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval. | Sixing Yan, William K. Cheung, Ivor W. Tsang, Wan Hang Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See |
| 2024 | ICCE | Facilitating Holistic Evaluations with LLMs: Insights from Scenario-Based Experiments. | Toru Ishida, Tongxi Liu, Hailong Wang, William K. Cheung |
| 2024 | MICCAI | Diagnose with Uncertainty Awareness: Diagnostic Uncertainty Encoding Framework for Radiology Report Generation. | Sixing Yan, Haiyan Yin, Ivor W. Tsang, William K. Cheung |
| 2022 | EMNLP | Assessing Non-autoregressive Alignment in Neural Machine Translation via Word Reordering. | Chun-Hin Tse, Ester Leung, William K. Cheung |
| 2021 | SDM | TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling. | Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon |
| 2020 | DSAA | Embedding for Anomaly Detection on Health Insurance Claims. | Jiaqi Lu, Benjamin C. M. Fung, William K. Cheung |
| 2020 | KDD | LogPar: Logistic PARAFAC2 Factorization for Temporal Binary Data with Missing Values. | Kejing Yin, Ardavan Afshar, Joyce C. Ho, William K. Cheung, Chao Zhang, Jimeng Sun |
| 2019 | AAAI | Similarity Preserving Deep Asymmetric Quantization for Image Retrieval. | Junjie Chen, William K. Cheung |
| 2019 | AAAI | Learning Phenotypes and Dynamic Patient Representations via RNN Regularized Collective Non-Negative Tensor Factorization. | Kejing Yin, Dong Qian, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon |
| 2019 | EMNLP | Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation. | Dong Qian, William K. Cheung |
| 2019 | ICDE | Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks. | Xin Ju, Xiaofeng Zhang, William K. Cheung |
| 2019 | IJCAI | Medical Concept Embedding with Multiple Ontological Representations. | Lihong Song, Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon |
| 2019 | RTCSA | An Environmental-adaptive Wi-Fi Localization Approach with Low Start-up Cost for the Exhibition Industry. | Joseph K. Ng, Hao Li, Victor C. W. Cheng, William K. Cheung |
| 2018 | AINA | Fast Setup and Robust WiFi Localization for the Exhibition Industry. | Victor C. W. Cheng, Hao Li, Joseph K. Ng, William K. Cheung |
| 2018 | ICASSP | Aphash: Anchor-Based Probability Hashing for Image Retrieval. | Junjie Chen, William K. Cheung, Anran Wang |
| 2018 | IJCAI | Learning Deep Unsupervised Binary Codes for Image Retrieval. | Junjie Chen, William K. Cheung, Anran Wang |
| 2018 | IJCAI | Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization. | Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, Jonathan Poon |
| 2017 | CIKM | Ontology-based Graph Visualization for Summarized View. | Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu |
| 2017 | IJCAI | A Structural Representation Learning for Multi-relational Networks. | Lin Liu, Xin Li, William K. Cheung, Chengcheng Xu |
| 2016 | AAAI | Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns. | Jing He, Xin Li, Lejian Liao, Dandan Song, William K. Cheung |
| 2016 | IJCAI | Inferring Motif-Based Diffusion Models for Social Networks. | Qing Bao, William K. Cheung, Jiming Liu |
| 2016 | IJCAI | Aligning Users across Social Networks Using Network Embedding. | Li Liu, William K. Cheung, Xin Li, Lejian Liao |
| 2015 | KSEM | Deriving an Effective Hypergraph Model for Point of Interest Recommendation. | Meng Qi, Xin Li, Lejian Liao, Dandan Song, William K. Cheung |
| 2015 | KSEM | Crafting a Time-Aware Point-of-Interest Recommendation via Pairwise Interaction Tensor Factorization. | Xinqiang Zhao, Xin Li, Lejian Liao, Dandan Song, William K. Cheung |
| 2014 | APWEB | A Novel Topical Authority-Based Microblog Ranking. | Yanmei Zhai, Xin Li, Jialiang Chen, Xiumei Fan, William K. Cheung |
| 2014 | ICDM | Recovering Human Mobility Flow Models and Daily Routine Patterns in a Smart Environment. | Li Chen, William K. Cheung |
| 2013 | PAKDD | Multiplex Topic Models. | Juan Yang, Jia Zeng, William K. Cheung |
| 2012 | ADMA | The Author-Topic-Community Model: A Generative Model Relating Authors' Interests and Their Community Structure. | Chunshan Li, William K. Cheung, Yunming Ye, Xiaofeng Zhang |
| 2012 | PAKDD | Detecting Multiple Stochastic Network Motifs in Network Data. | Kai Liu, William K. Cheung, Jiming Liu |
| 2011 | ICDM | Stochastic Network Motif Detection in Social Media. | Kai Liu, William K. Cheung, Jiming Liu |
| 2009 | ACML | On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression. | Xin Li, William K. Cheung, Jiming Liu |
| 2009 | ADC | Mobile Information Exchange and Integration: From Query to Application Layer. | Van T. K. Tran, Raymond K. Wong, William K. Cheung, Jiming Liu |
| 2009 | ICDM | Multirelational Topic Models. | Jia Zeng, William K. Cheung, Chun-hung Li, Jiming Liu |
| 2008 | ICPR | Collaborative and content-based image labeling. | Ning Zhou, William K. Cheung, Xiangyang Xue, Guoping Qiu |
| 2006 | BPM | E-Service/Process Composition Through Multi-agent Constraint Management. | Minhong Wang, William K. Cheung, Jiming Liu, Xiao-Feng Xie, Zongwei Luo |
| 2005 | ICDM | Visualizing Global Manifold Based on Distributed Local Data Abstractions. | Xiaofeng Zhang, William K. Cheung |
| 2005 | IJCAI | Learning Global Models Based on Distributed Data Abstractions. | Xiaofeng Zhang, William K. Cheung |
| 2005 | ICTAI | Sub-Ontology Evolution for Service Composition with Application to Distributed E-Learning. | Yuxin Mao, William K. Cheung, Zhaohui Wu, Jiming Liu |