Keith C. C. Chan

ORCID

Publication Activity (10 Years)

Years Active: 1988-2023
Publications (10 Years): 54

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

BIBM

Bioinform.

BMC Bioinform.

Publications

Bruce X. B. Yu, Yan Liu, Xiang Zhang, Sheng-hua Zhong, Keith C. C. Chan
MMNet: A Model-Based Multimodal Network for Human Action Recognition in RGB-D Videos. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Bruce X. B. Yu, Yan Liu, Xiang Zhang, Gong Chen, Keith C. C. Chan
EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment. IJCAI (2022)
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan, Qintai Yang, Xiaoying Wang
Skeleton-based human action evaluation using graph convolutional network for monitoring Alzheimer's progression. Pattern Recognit. 119 (2021)
Hai-Cheng Yi, Zhu-Hong You, Zhen-Hao Guo, De-Shuang Huang, Keith C. C. Chan
Learning Representation of Molecules in Association Network for Predicting Intermolecular Associations. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan
Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition. AAAI (2021)
Yu-An Huang, Keith C. C. Chan, Zhu-Hong You, Pengwei Hu, Lei Wang, Zhi-An Huang
Predicting microRNA-disease associations from lncRNA-microRNA interactions via Multiview Multitask Learning. Briefings Bioinform. 22 (3) (2021)
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan
Effective Human Activity Recognition Based on Small Datasets. CoRR (2020)
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan
Skeleton Focused Human Activity Recognition in RGB Video. CoRR (2020)
Bo Lu, X. B. Yu, Jiewen Lai, Kaicheng Huang, Keith C. C. Chan, Henry Kar Hang Chu
A Learning Approach for Suture Thread Detection With Feature Enhancement and Segmentation for 3-D Shape Reconstruction. IEEE Trans Autom. Sci. Eng. 17 (2) (2020)
Yu-An Huang, Pengwei Hu, Keith C. C. Chan, Zhu-Hong You
Graph convolution for predicting associations between miRNA and drug resistance. Bioinform. 36 (3) (2020)
Bruce X. B. Yu, Yan Liu, Keith C. C. Chan
A Survey of Sensor Modalities for Human Activity Recognition. KDIR (2020)
Lei Wang, Zhu-Hong You, Yu-An Huang, De-Shuang Huang, Keith C. C. Chan
An efficient approach based on multi-sources information to predict circRNA-disease associations using deep convolutional neural network. Bioinform. 36 (13) (2020)
Pengwei Hu, Yu-An Huang, Keith C. C. Chan, Zhu-Hong You
Learning Multimodal Networks From Heterogeneous Data for Prediction of lncRNA-miRNA Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 17 (5) (2020)
Lun Hu, Keith C. C. Chan, Xiaohui Yuan, Shengwu Xiong
A Variational Bayesian Framework for Cluster Analysis in a Complex Network. IEEE Trans. Knowl. Data Eng. 32 (11) (2020)
Tiantian He, Yang Liu, Tobey H. Ko, Keith C. C. Chan, Yew-Soon Ong
Contextual Correlation Preserving Multiview Featured Graph Clustering. IEEE Trans. Cybern. 50 (10) (2020)
Gene P. K. Wu, Keith C. C. Chan
Discovery of Spatio-Temporal Patterns in Multivariate Spatial Time Series. Trans. Data Sci. 1 (2) (2020)
Xiangdong Zhou, Keith C. C. Chan, Zhihua Huang, Jingbin Wang
Determining dependency and redundancy for identifying gene-gene interaction associated with complex disease. J. Bioinform. Comput. Biol. 18 (5) (2020)
Pengwei Hu, Eryu Xia, Shochun Li, Xin Du, Changsheng Ma, Jianzeng Dong, Keith C. C. Chan
Network-Based Prediction of Major Adverse Cardiac Events in Acute Coronary Syndromes from Imbalanced EMR Data. MedInfo (2019)
Pengwei Hu, Yu-An Huang, Zhuhong You, Shaochun Li, Keith C. C. Chan, Henry Leung, Lun Hu
Learning from Deep Representations of Multiple Networks for Predicting Drug-Target Interactions. ICIC (2) (2019)
Tiantian He, Keith C. C. Chan
Measuring Boundedness for Protein Complex Identification in PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (3) (2019)
Pei-Yuan Zhou, Keith C. C. Chan
Fuzzy Feature Extraction for Multichannel EEG Classification. IEEE Trans. Cogn. Dev. Syst. 10 (2) (2018)
Tiantian He, Lun Hu, Keith C. C. Chan, Pengwei Hu
Learning Latent Factors for Community Identification and Summarization. IEEE Access 6 (2018)
Tiantian He, Keith C. C. Chan
Discovering Fuzzy Structural Patterns for Graph Analytics. IEEE Trans. Fuzzy Syst. 26 (5) (2018)
Tiantian He, Keith C. C. Chan, Libin Yang
Clustering in Networks with Multi-Modality Attributes. WI (2018)
Pengwei Hu, Yu-An Huang, Keith C. C. Chan, Zhu-Hong You
Discovering an Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions. ICIC (1) (2018)
Pengwei Hu, Zhu-Hong You, Tiantian He, Shaochun Li, Shuhang Gu, Keith C. C. Chan
Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction. BIBM (2018)
Pengwei Hu, Zhaomeng Niu, Tiantian He, Keith C. C. Chan
Learning Deep Representations in Large Integrated Network for Graph Clustering. AIKE (2018)
Pei-Yuan Zhou, Keith C. C. Chan, Carol Xiaojuan Ou
Corporate Communication Network and Stock Price Movements: Insights From Data Mining. IEEE Trans. Comput. Soc. Syst. 5 (2) (2018)
Tiantian He, Keith C. C. Chan
MISAGA: An Algorithm for Mining Interesting Subgraphs in Attributed Graphs. IEEE Trans. Cybern. 48 (5) (2018)
Xiangdong Zhou, Keith C. C. Chan
Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification. BMC Bioinform. 19 (1) (2018)
Tiantian He, Keith C. C. Chan
Evolutionary Graph Clustering for Protein Complex Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 15 (3) (2018)
Yu-An Huang, Keith C. C. Chan, Zhu-Hong You
Constructing prediction models from expression profiles for large scale lncRNA-miRNA interaction profiling. Bioinform. 34 (5) (2018)
Tiantian He, Keith C. C. Chan
Learning Latent Factors in Linked Multi-modality Data. ISMIS (2018)
Bing Li, Keith C. C. Chan, Carol Xiaojuan Ou, Ruifeng Sun
Discovering public sentiment in social media for predicting stock movement of publicly listed companies. Inf. Syst. 69 (2017)
Xiangdong Zhou, Keith C. C. Chan, Danhong Zhu
A multi-stage approach to detect gene-gene interactions associated with multiple correlated phenotypes. CIBCB (2017)
Lun Hu, Keith C. C. Chan
Extracting Coevolutionary Features from Protein Sequences for Predicting Protein-Protein Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 14 (1) (2017)
Pengwei Hu, Keith C. C. Chan, Lun Hu, Henry Leung
Discovering second-order sub-structure associations in drug molecules for side-effect prediction. BIBM (2017)
Bruce X. B. Yu, Keith C. C. Chan
Discovering Knowledge by Behavioral Analytics for Elderly Care. ICBK (2017)
Pengwei Hu, Tiantian He, Keith C. C. Chan, Henry Leung
Deep Fusion of Multiple Networks for Learning Latent Social Communities. ICTAI (2017)
Zhu-Hong You, Xiao Li, Keith C. C. Chan
An improved sequence-based prediction protocol for protein-protein interactions using amino acids substitution matrix and rotation forest ensemble classifiers. Neurocomputing 228 (2017)
Guoqiang Li, Keith C. C. Chan
TDN: Twice-Least-Square Double-Parallel Neural Networks. ICBK (2017)
Lun Hu, Xiaohui Yuan, Pengwei Hu, Keith C. C. Chan
Efficiently predicting large-scale protein-protein interactions using MapReduce. Comput. Biol. Chem. 69 (2017)
Pengwei Hu, Keith C. C. Chan, Tiantian He
Deep Graph Clustering in Social Network. WWW (Companion Volume) (2017)
Gene P. K. Wu, Keith C. C. Chan
Privacy-preserving trajectory classification of driving trip data based on pattern discovery techniques. IEEE BigData (2017)
Xiangdong Zhou, Keith C. C. Chan
An effective approach to identify gene-gene interactions for complex quantitative traits using generalized fuzzy accuracy. CIBCB (2016)
Yu-An Huang, Zhu-Hong You, Xing Chen, Keith C. C. Chan, Xin Luo
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding. BMC Bioinform. 17 (2016)
Lun Hu, Keith C. C. Chan
Fuzzy Clustering in a Complex Network Based on Content Relevance and Link Structures. IEEE Trans. Fuzzy Syst. 24 (2) (2016)
Haibo Li, Keith C. C. Chan, Mengxia Liang, Xiangyu Luo
Composition of Resource-Service Chain for Cloud Manufacturing. IEEE Trans. Ind. Informatics 12 (1) (2016)
Peng-Wei, Keith C. C. Chan, Zhu-Hong You
Large-scale prediction of drug-target interactions from deep representations. IJCNN (2016)
Yang Liu, Yan Liu, Chaoguang Wang, Xiaohong Wang, Pei-Yuan Zhou, Gino Yu, Keith C. C. Chan
What Strikes the Strings of Your Heart?-Multi-Label Dimensionality Reduction for Music Emotion Analysis via Brain Imaging. IEEE Trans. Auton. Ment. Dev. 7 (3) (2015)
Pei-Yuan Zhou, Keith C. C. Chan
An unsupervised attribute clustering algorithm for unsupervised feature selection. DSAA (2015)
Pei-Yuan Zhou, Keith C. C. Chan
A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns. PAKDD (2) (2015)
Xiangdong Zhou, Keith C. C. Chan
A new information-theoretic approach to detect gene-gene interactions in case-control studies. BIBE (2015)
Lun Hu, Keith C. C. Chan
A density-based clustering approach for identifying overlapping protein complexes with functional preferences. BMC Bioinform. 16 (2015)
Bing Li, Keith C. C. Chan
A fast big data collection system using MapReduce framework. CCIS (2014)
Carol Xiaojuan Ou, Keith C. C. Chan
Developing a competitive edge in electronic markets via institutional and social based quality signaling mechanisms. Inf. Manag. 51 (5) (2014)
Pei-Yuan Zhou, Keith C. C. Chan
A Model-Based Multivariate Time Series Clustering Algorithm. PAKDD Workshops (2014)
Tiantian He, Keith C. C. Chan
Evolutionary community detection in social networks. IEEE Congress on Evolutionary Computation (2014)
Li Bing, Keith C. C. Chan
A Paralleled Big Data Algorithm with MapReduce Framework for Mining Twitter Data. BDCloud (2014)
Li Bing, Keith C. C. Chan, Leslie Carr
Using Aligned Ontology Model to Convert Cultural Heritage Resources into Semantic Web. ICSC (2014)
Yang Liu, Yan Liu, Keith C. C. Chan, Kien A. Hua
Hybrid Manifold Embedding. IEEE Trans. Neural Networks Learn. Syst. 25 (12) (2014)
Li Bing, Keith C. C. Chan, Carol Xiaojuan Ou
Public Sentiment Analysis in Twitter Data for Prediction of a Company's Stock Price Movements. ICEBE (2014)
Li Bing, Keith C. C. Chan
A Fuzzy Logic Approach for Opinion Mining on Large Scale Twitter Data. UCC (2014)
Peter Membrey, Keith C. C. Chan, Yuri Demchenko
A disk based stream oriented approach for storing big data. CTS (2013)
Keith C. C. Chan
Big data analytics for drug discovery. BIBM (2013)
Weimin Luo, Keith C. C. Chan
Discovering patterns in drug-protein interactions based on their fingerprints. BMC Bioinform. 13 (S-9) (2012)
Hongxing Wei, Bin Wang, Yi Wang, Zili Shao, Keith C. C. Chan
Staying-alive path planning with energy optimization for mobile robots. Expert Syst. Appl. 39 (3) (2012)
Yang Liu, Yan Liu, Keith C. C. Chan, Jing Zhang
Neighborhood preserving ordinal regression. ICIMCS (2012)
Winnie W. M. Lam, Keith C. C. Chan
Discovering Functional Interdependence Relationship in PPI Networks for Protein Complex Identification. IEEE Trans. Biomed. Eng. 59 (4) (2012)
Yang Liu, Yan Liu, Sheng-hua Zhong, Keith C. C. Chan
Tensor distance based multilinear globality preserving embedding: A unified tensor based dimensionality reduction framework for image and video classification. Expert Syst. Appl. 39 (12) (2012)
Peter Membrey, Keith C. C. Chan, Canh Ngo, Yuri Demchenko, Cees de Laat
Trusted Virtual Infrastructure Bootstrapping for On Demand Services. ARES (2012)
Keith C. C. Chan
Evolving Graph Structures for Drug Discovery. MDAI (2011)
Yang Liu, Yan Liu, Keith C. C. Chan
Tensor-based locally maximum margin classifier for image and video classification. Comput. Vis. Image Underst. 115 (3) (2011)
Herbert Lee, Keith C. C. Chan, Eric Tsui
Knowledge Mining Wikipedia: An Ontological Approach. Int. J. Knowl. Syst. Sci. 2 (1) (2011)
Weimin Luo, Keith C. C. Chan
Discovering Drug-Protein Interactions Based on their Fingerprints. BIBM (2011)
Yang Liu, Yan Liu, Sheng-hua Zhong, Keith C. C. Chan
Semi-supervised manifold ordinal regression for image ranking. ACM Multimedia (2011)
Yang Liu, Yan Liu, Keith C. C. Chan
Ordinal Regression via Manifold Learning. AAAI (2011)
Samuel S. Y. Wong, Weimin Luo, Keith C. C. Chan
EvoMD: An Algorithm for Evolutionary Molecular Design. IEEE ACM Trans. Comput. Biol. Bioinform. 8 (4) (2011)
Patrick C. H. Ma, Keith C. C. Chan
Incremental Fuzzy Mining of Gene Expression Data for Gene Function Prediction. IEEE Trans. Biomed. Eng. 58 (5) (2011)
Gene P. K. Wu, Keith C. C. Chan, Andrew K. C. Wong
Unsupervised fuzzy pattern discovery in gene expression data. BMC Bioinform. 12 (S-5) (2011)
Yang Liu, Yan Liu, Keith C. C. Chan
Supervised manifold learning for image and video classification. ACM Multimedia (2010)
Gene P. K. Wu, Keith C. C. Chan, Andrew K. C. Wong, Bin Wu
Unsupervised discovery of fuzzy patterns in gene expression data. BIBM (2010)
Andrew K. C. Wong, Bin Wu, Gene P. K. Wu, Keith C. C. Chan
Pattern discovery for large mixed-mode database. CIKM (2010)
Patrick C. H. Ma, Keith C. C. Chan
Discovering Interesting Motif-Sets for Multi-Class Protein Sequence Classification. J. Comput. Biol. 17 (5) (2010)
Keith C. C. Chan, Xindong Wu
Special issue on selected papers from IEEE DMF 2008. Knowl. Inf. Syst. 24 (3) (2010)
Yingxu Wang, George Baciu, Yiyu Yao, Witold Kinsner, Keith C. C. Chan, Bo Zhang, Stuart R. Hameroff, Ning Zhong, Chu-Ren Huang, Ben Goertzel, Duoqian Miao, Kenji Sugawara, Guoyin Wang, Jane You, Du Zhang, Haibin Zhu
Perspectives on Cognitive Informatics and Cognitive Computing. Int. J. Cogn. Informatics Nat. Intell. 4 (1) (2010)
Yip Wai Tung, Keith C. C. Chan
A Unified Human-Computer Interaction Requirements Analysis Framework for Complex Socio-technical Systems. Int. J. Hum. Comput. Interact. 26 (1) (2010)
Winnie W. M. Lam, Keith C. C. Chan, David K. Y. Chiu, Andrew K. C. Wong
A Graph-Based Algorithm for Mining Multi-Level Patterns in genomic Data. J. Bioinform. Comput. Biol. 8 (5) (2010)
Yang Liu, Yan Liu, Keith C. C. Chan
Tensor Distance Based Multilinear Locality-Preserved Maximum Information Embedding. IEEE Trans. Neural Networks 21 (11) (2010)
Baokang Zhao, Dan Wang, Zili Shao, Jiannong Cao, Keith C. C. Chan, Jinshu Su
An Optimal Algorithm towards Successive Location Privacy in Sensor Networks with Dynamic Programming. IEICE Trans. Inf. Syst. (3) (2010)
Yang Liu, Yan Liu, Keith C. C. Chan
Nonlinear dimensionality reduction with hybrid distance for trajectory representation of dynamic texture. Signal Process. 90 (8) (2010)
Yang Liu, Yan Liu, Keith C. C. Chan
Multilinear Maximum Distance Embedding Via L1-Norm Optimization. AAAI (2010)
Yang Liu, Yan Liu, Keith C. C. Chan
Dimensionality reduction for heterogeneous dataset in rushes editing. Pattern Recognit. 42 (2) (2009)
Patrick C. H. Ma, Keith C. C. Chan
A Novel Approach for Discovering Overlapping Clusters in Gene Expression Data. IEEE Trans. Biomed. Eng. 56 (7) (2009)
Samuel S. Y. Wong, Keith C. C. Chan
EvoArch: An evolutionary algorithm for architectural layout design. Comput. Aided Des. 41 (9) (2009)
Yan Liu, Yang Liu, Keith C. C. Chan
Multilinear Isometric Embedding for visual pattern analysis. ICCV Workshops (2009)
Yingxu Wang, George Baciu, Yiyu Yao, Bo Zhang, Witold Kinsner, Chu-Ren Huang, Keith C. C. Chan, Ben Goertzel, Duoqian Miao, Kenji Sugawara, Guoyin Wang, Jane You, Du Zhang, Ning Zhong, Haibin Zhu
Perspectives on Cognitive Informatics and Cognitive Computing: Summary of the Panel of IEEE ICCI'09. IEEE ICCI (2009)
Yang Liu, Yan Liu, Keith C. C. Chan
Bidirectional visible neighborhood preserving embedding. ICIMCS (2009)
Kitty S. Y. Chiu, Keith C. C. Chan
Using Data Mining for Dynamic Level Design in Games. ISMIS (2008)
Patrick C. H. Ma, Keith C. C. Chan
UPSEC: An Algorithm for Classifying Unaligned Protein Sequences into Functional Families. J. Comput. Biol. 15 (4) (2008)

Keith C. C. Chan.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Keith C. C. Chan