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ORCIDWilliam Kwok-Wai Cheung
Kwok-Wai Cheung 0001 – William K. Cheung 0001
Person information
- affiliation: Hong Kong Baptist University, Department of Computer Scienceo, Hong Kong
- affiliation (PhD 1999): Hong Kong University of Science and Technology, Department of Computer Science, Hong Kong
Other persons with the same name
- Kwok-Wai Cheung 0002
![[0000-0002-9586-2812]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9586-2812")
— Hang Seng University of Hong Kong, School of Communication, Hong Kong (and 2 more) - Kwok-Wai Cheung 0003 (aka: K. W. Cheung 0003) — Chinese University of Hong Kong, Department of Information Engineering, Hong Kong (and 2 more)
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2020 – today
- 2024
[j63]Youmin Zhang, William K. Cheung, Qun Liu, Guoyin Wang, Lili Yang, Li Liu:
Towards explaining graph neural networks via preserving prediction ranking and structural dependency. Inf. Process. Manag. 61(2): 103571 (2024)- [j62]Li Liu, Penggang Chen, Xin Li, William Kwok-Wai Cheung, Youmin Zhang, Qun Liu, Guoyin Wang:
WL-Align: Weisfeiler-Lehman Relabeling for Aligning Users Across Networks via Regularized Representation Learning. IEEE Trans. Knowl. Data Eng. 36(1): 445-458 (2024) - [j61]Kejing Yin, Dong Qian, William K. Cheung:
PATNet: Propensity-Adjusted Temporal Network for Joint Imputation and Prediction Using Binary EHRs With Observation Bias. IEEE Trans. Knowl. Data Eng. 36(6): 2600-2613 (2024) - [c89]Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin:
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency. AAAI 2024: 16416-16424 - [i15]Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin:
DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency. CoRR abs/2403.06197 (2024) - [i14]Toru Ishida, Tongxi Liu, Hailong Wang, William K. Cheung:
Large Language Models as Partners in Student Essay Evaluation. CoRR abs/2405.18632 (2024) - 2023
- [j60]Yu Geng, Liang Lan, William K. Cheung:
Toward Memory-Efficient and Interpretable Factorization Machines via Data and Model Binarization. IEEE Access 11: 128633-128643 (2023) - [j59]Ke Xu, Chinwang Cheong, Werner Pieter 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) - [j58]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): 1949-1962 (2023) - [j57]Chin Wang Cheong, Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
Adaptive Integration of Categorical and Multi-relational Ontologies with EHR Data for Medical Concept Embedding. ACM Trans. Intell. Syst. Technol. 14(6): 111:1-111:20 (2023) - [j56]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): 2500-2514 (2023) - [j55]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): 4307-4320 (2023) - [j54]Sixing Yan, William K. Cheung, Wan Hang Keith Chiu, Terence M. Tong, Ka Chun Cheung, Simon See:
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. IEEE Trans. Medical Imaging 42(8): 2211-2222 (2023) - [j53]Chenhong Zhou, Feng Liu, Chen Gong, Rongfei Zeng, Tongliang Liu, Kwok-Wai Cheung, Bo Han:
KRADA: Known-region-aware Domain Alignment for Open-set Domain Adaptation in Semantic Segmentation. Trans. Mach. Learn. Res. 2023 (2023) - 2022
- [j52]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) - [j51]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: 109830 (2022) - [j50]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): 4328-4341 (2022) - [c88]Chun-Hin Tse, Ester Leung, William K. Cheung:
Assessing Non-autoregressive Alignment in Neural Machine Translation via Word Reordering. EMNLP (Findings) 2022: 2327-2333 - [i13]Sixing Yan, William K. Cheung, Wan Hang Keith Chiu, Terence M. Tong, Charles K. Cheung, Simon See:
Attributed Abnormality Graph Embedding for Clinically Accurate X-Ray Report Generation. CoRR abs/2207.01208 (2022) - [i12]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 abs/2212.14182 (2022) - 2021
- [j49]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) - [j48]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): 8:1-8:16 (2021) - [c87]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: 20970-20982 - [c86]Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
TedPar: Temporally Dependent PARAFAC2 Factorization for Phenotype-based Disease Progression Modeling. SDM 2021: 594-602 - [i11]Chenhong Zhou, Feng Liu, Chen Gong, Tongliang Liu, Bo Han, William Kwok-Wai Cheung:
KRADA: Known-region-aware Domain Alignment for Open World Semantic Segmentation. CoRR abs/2106.06237 (2021) - [i10]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 abs/2106.06326 (2021) - [i9]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 abs/2111.11335 (2021) - 2020
- [j47]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: 50709-50720 (2020) - [j46]Kejing Yin, Liaoliao Feng, William K. Cheung:
Context-Aware Time Series Imputation for Multi-Analyte Clinical Data. J. Heal. Informatics Res. 4(4): 411-426 (2020) - [j45]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): 1824-1837 (2020) - [c85]Jiaqi Lu, Benjamin C. M. Fung, William K. Cheung:
Embedding for Anomaly Detection on Health Insurance Claims. DSAA 2020: 459-468 - [c84]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: 1625-1635 - [i8]Xuliang Zhu, Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu:
Ontology-based Graph Visualization for Summarized View. CoRR abs/2008.03053 (2020) - [i7]Kejing Yin, William K. Cheung, Benjamin C. M. Fung, Jonathan Poon:
Learning Inter-Modal Correspondence and Phenotypes from Multi-Modal Electronic Health Records. CoRR abs/2011.06301 (2020)
2010 – 2019
- 2019
- [j44]Cynthia Lee, Alexander Seeshing Yeung, Kwok-Wai Cheung:
Learner perceptions versus technology usage: A study of adolescent English learners in Hong Kong secondary schools. Comput. Educ. 133: 13-26 (2019) - [j43]Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung:
Learning Stylometric Representations for Authorship Analysis. IEEE Trans. Cybern. 49(1): 107-121 (2019) - [c83]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: 1246-1253 - [c82]Junjie Chen, William K. Cheung:
Similarity Preserving Deep Asymmetric Quantization for Image Retrieval. AAAI 2019: 8183-8190 - [c81]Dong Qian, William K. Cheung:
Enhancing Variational Autoencoders with Mutual Information Neural Estimation for Text Generation. EMNLP/IJCNLP (1) 2019: 4045-4055 - [c80]Xin Ju, Xiaofeng Zhang, William K. Cheung:
Generating Synthetic Graphs for Large Sensitive and Correlated Social Networks. ICDE Workshops 2019: 286-293 - [c79]Kejing Yin, William K. Cheung:
Context-Aware Imputation for Clinical Time Series. ICHI 2019: 1-3 - [c78]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: 4613-4619 - [c77]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: 1-8 - 2018
- [j42]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 3-4: 175-186 (2018) - [j41]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): 207-228 (2018) - [j40]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): 54:1-54:26 (2018) - [c76]Victor C. W. Cheng, Hao Li, Joseph K. Ng, William K. Cheung:
Fast Setup and Robust WiFi Localization for the Exhibition Industry. AINA 2018: 472-479 - [c75]Junjie Chen, William K. Cheung, Anran Wang:
Aphash: Anchor-Based Probability Hashing for Image Retrieval. ICASSP 2018: 1673-1677 - [c74]Junjie Chen, William K. Cheung, Anran Wang:
Learning Deep Unsupervised Binary Codes for Image Retrieval. IJCAI 2018: 613-619 - [c73]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: 3627-3633 - [c72]Chin Wang Cheong, Daniel Garijo, Kwok-Wai Cheung, Yolanda Gil:
PSM-Flow: Probabilistic Subgraph Mining for Discovering Reusable Fragments in Workflows. WI 2018: 166-173 - [i6]Xin Li, Huiting Hong, Lin Liu, William K. Cheung:
A Structural Representation Learning for Multi-relational Networks. CoRR abs/1805.06197 (2018) - [i5]Jing He, Xin Li, Lejian Liao, William K. Cheung:
Personalized Next Point-of-Interest Recommendation via Latent Behavior Patterns Inference. CoRR abs/1805.06316 (2018) - 2017
- [j39]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): 213-223 (2017) - [j38]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): 1078-1089 (2017) - [c71]Xin Huang, Byron Choi, Jianliang Xu, William K. Cheung, Yanchun Zhang, Jiming Liu:
Ontology-based Graph Visualization for Summarized View. CIKM 2017: 2115-2118 - [c70]Lin Liu, Xin Li, William K. Cheung, Chengcheng Xu:
A Structural Representation Learning for Multi-relational Networks. IJCAI 2017: 4047-4053 - [c69]Yang Liu, Zhonglei Gu, William K. Cheung:
HKBU at MediaEval 2017 - Medico: Medical Multimedia Task. MediaEval 2017 - [i4]Zhaocai Sun, William K. Cheung, Xiaofeng Zhang, Jun Yang:
Towards well-specified semi-supervised model-based classifiers via structural adaptation. CoRR abs/1705.00597 (2017) - 2016
- [j37]Jialiang Chen, Xin Li, William K. Cheung, Kan Li:
Effective successive POI recommendation inferred with individual behavior and group preference. Neurocomputing 210: 174-184 (2016) - [j36]Xiaofeng Zhang, William K. Cheung, Yunming Ye:
Mining from distributed and abstracted data. WIREs Data Mining Knowl. Discov. 6(5): 167-176 (2016) - [c68]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: 137-143 - [c67]Li Liu, William K. Cheung, Xin Li, Lejian Liao:
Aligning Users across Social Networks Using Network Embedding. IJCAI 2016: 1774-1780 - [c66]Qing Bao, William K. Cheung, Jiming Liu:
Inferring Motif-Based Diffusion Models for Social Networks. IJCAI 2016: 3677-3683 - [c65]Chen Li, William Kwok-Wai Cheung, Jiming Liu, Joseph Kee-Yin Ng:
Bayesian Nominal Matrix Factorization for Mining Daily Activity Patterns. WI 2016: 335-342 - [i3]Steven H. H. Ding, Benjamin C. M. Fung, Farkhund Iqbal, William K. Cheung:
Learning Stylometric Representations for Authorship Analysis. CoRR abs/1606.01219 (2016) - 2015
- [j35]Dominik Slezak, Benjamin C. M. Fung, William Kwok-Wai Cheung:
Preface. Fundam. Informaticae 137(2) (2015) - [j34]Kai Liu, William K. Cheung, Jiming Liu:
Detecting multiple stochastic network motifs in network data. Knowl. Inf. Syst. 42(1): 49-74 (2015) - [j33]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): 359-383 (2015) - [j32]Yu Zhang, William K. Cheung, Jiming Liu:
A Unified Framework for Epidemic Prediction based on Poisson Regression. IEEE Trans. Knowl. Data Eng. 27(11): 2878-2892 (2015) - [c64]Chen Li, William K. Cheung, Jiming Liu:
Elderly Mobility and Daily Routine Analysis Based on Behavior-Aware Flow Graph Modeling. ICHI 2015: 427-436 - [c63]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: 458-470 - [c62]Meng Qi, Xin Li, Lejian Liao, Dandan Song, William K. Cheung:
Deriving an Effective Hypergraph Model for Point of Interest Recommendation. KSEM 2015: 771-777 - [c61]Qing Bao, William Kwok-Wai Cheung, Jiming Liu, Yunya Song:
Inferring Latent Co-activation Patterns for Information Diffusion. WI-IAT (1) 2015: 485-492 - 2014
- [j31]Khalil Al-Hussaeni, Benjamin C. M. Fung, William K. Cheung:
Privacy-preserving trajectory stream publishing. Data Knowl. Eng. 94: 89-109 (2014) - [j30]Xiaofei Yang, Jiming Liu, Xiao-Nong Zhou, William Kwok-Wai Cheung:
Inferring disease transmission networks at a metapopulation level. Health Inf. Sci. Syst. 2(1): 8 (2014) - [j29]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: 111 (2014) - [c60]Yanmei Zhai, Xin Li, Jialiang Chen, Xiumei Fan, William K. Cheung:
A Novel Topical Authority-Based Microblog Ranking. APWeb 2014: 105-116 - [c59]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: 305-317 - [c58]Li Chen, William K. Cheung:
Recovering Human Mobility Flow Models and Daily Routine Patterns in a Smart Environment. ICDM Workshops 2014: 541-548 - [c57]Xiaofei Yang, Jiming Liu, William Kwok-Wai Cheung, Xiao-Nong Zhou:
Inferring Metapopulation Based Disease Transmission Networks. PAKDD (2) 2014: 385-399 - 2013
- [j28]Jia Zeng, William K. Cheung, Jiming Liu:
Learning Topic Models by Belief Propagation. IEEE Trans. Pattern Anal. Mach. Intell. 35(5): 1121-1134 (2013) - [c56]Kai Liu, William K. Cheung, Jiming Liu:
Detecting stochastic temporal network motifs for human communication patterns analysis. ASONAM 2013: 533-540 - [c55]Juan Yang, Jia Zeng, William K. Cheung:
Multiplex Topic Models. PAKDD (1) 2013: 568-582 - [c54]Qing Bao, William K. Cheung, Yu Zhang:
Incorporating Structural Diversity of Neighbors in a Diffusion Model for Social Networks. Web Intelligence 2013: 431-438 - 2012
- [j27]Marius Silaghi, Song Qin, William K. Cheung:
Conference Report: Open Peer-Review Experiment in the Decentralized Coordination Workshop. IEEE Intell. Informatics Bull. 13(1): 1-2 (2012) - [j26]Kelvin C. K. Wong, William K. Cheung:
Evaluating ICT Literacy Differences in Arts and Science Students. J. Next Gener. Inf. Technol. 3(1): 1-6 (2012) - [c53]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: 753-765 - [c52]Parisa Rashidi, Liming Chen, William K. Cheung:
International Workshop on Situation, Activity and Goal Awareness (SAGAware 2012). UbiComp 2012: 1012-1015 - [c51]Kai Liu, William K. Cheung, Jiming Liu:
Detecting Multiple Stochastic Network Motifs in Network Data. PAKDD (2) 2012: 205-217 - 2011
- [j25]Xiaofeng Zhang, William K. Cheung, Chun-hung Li:
Learning latent variable models from distributed and abstracted data. Inf. Sci. 181(14): 2964-2988 (2011) - [j24]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): 58-65 (2011) - [j23]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): 1281-1294 (2011) - [c50]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: 631-632 - [c49]Kai Liu, William K. Cheung, Jiming Liu:
Stochastic Network Motif Detection in Social Media. ICDM Workshops 2011: 949-956 - [c48]Kelvin C. K. Wong, William Kwok-Wai Cheung:
A study of ICT literacy in Arts and Science students. ICIS 2011: 5-7 - [i2]Jia Zeng, William K. Cheung, Jiming Liu:
Learning Topic Models by Belief Propagation. CoRR abs/1109.3437 (2011) - [i1]Jia Zeng, Wei Feng, William K. Cheung, Chun-hung Li:
Higher-Order Markov Tag-Topic Models for Tagged Documents and Images. CoRR abs/1109.5370 (2011) - 2010
- [j22]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): 1-12 (2010) - [j21]Jian Li, William Kwok-Wai Cheung:
Access Control on Semantic Web Data Using Query Rewriting. Int. J. Organ. Collect. Intell. 1(2): 46-66 (2010) - [j20]Xin Li, William K. Cheung, Jiming Liu:
Improving POMDP Tractability via Belief Compression and Clustering. IEEE Trans. Syst. Man Cybern. Part B 40(1): 125-136 (2010) - [c47]Chung-ho Choi, William K. Cheung:
A multi-agent resource allocation framework for patient journey shortening. BIBM Workshops 2010: 481-486 - [c46]Chung-ho Choi, William K. Cheung, Jiming Liu, Ian T. Cheung:
Patient Journey Optimization using a Multi-agent Approach. HEALTHINF 2010: 181-186 - [c45]Kelvin C. K. Wong, William K. Cheung:
Integrating information literacy into a university information technology course: Motivations and lessons learned. ICIS 2010: 36-39 - [c44]Byron Choi, Haibo Hu, Jianliang Xu, William Kwok-Wai Cheung, Chun-hung Li, Jiming Liu:
Data Engineering in Graph Databases. ISCIS 2010: 127-132 - [c43]Michael W. K. Cheng, Byron Choi, William Kwok-Wai Cheung:
Hiding Emerging Patterns with Local Recoding Generalization. PAKDD (1) 2010: 158-170 - [c42]Jia Zeng, William K. Cheung, Chun-hung Li, Jiming Liu:
Coauthor Network Topic Models with Application to Expert Finding. Web Intelligence 2010: 366-373
2000 – 2009
- 2009
- [j19]Jianwu Yang, William Kwok-Wai Cheung, Xiaoou Chen:
Learning element similarity matrix for semi-structured document analysis. Knowl. Inf. Syst. 19(1): 53-78 (2009) - [c41]Xin Li, William K. Cheung, Jiming Liu:
On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression. ACML 2009: 248-262 - [c40]Van T. K. Tran, Raymond K. Wong, William K. Cheung, Jiming Liu:
Mobile Information Exchange and Integration: From Query to Application Layer. ADC 2009: 117-126 - [c39]Jia Zeng, William K. Cheung, Chun-hung Li, Jiming Liu:
Multirelational Topic Models. ICDM 2009: 1070-1075 - [c38]Jian Li, William K. Cheung, Jiming Liu, Chun-hung Li:
On Discovering Community Trends in Social Networks. Web Intelligence 2009: 230-237 - [p1]William K. Cheung, Anders I. Mørch, Kelvin C. Wong, Cynthia Lee, Jiming Liu, Mason H. Lam:
Grounding Collaborative Learning in Semantics-Based Critiquing. Methods and Applications for Advancing Distance Education Technologies 2009: 106-119 - 2008
- [j18]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): 2683-2692 (2008) - [j17]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): 790-805 (2008) - [c37]Ning Zhou, William K. Cheung, Xiangyang Xue, Guoping Qiu:
Collaborative and content-based image labeling. ICPR 2008: 1-4 - [c36]