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ORCIDKeith C. C. Chan
Keith Chun Chung Chan
Person information
- affiliation: Hong Kong Polytechnic University, Department of Computing, Hong Kong
- affiliation (1989 - 1993): IBM Canada Laboratory, Toronto, ON, Canada
- affiliation (PhD 1989): University of Waterloo, ON, Canada
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2020 – today
- 2024
[j90]Bruce X. B. Yu
, Yan Liu, Keith C. C. Chan, Chang Wen Chen:
EGCN++: A New Fusion Strategy for Ensemble Learning in Skeleton-Based Rehabilitation Exercise Assessment. IEEE Trans. Pattern Anal. Mach. Intell. 46(9): 6471-6485 (2024)- [j89]Fan Yang, Keith C. C. Chan, Yuhan Fan, Qing Zhang:
Vision-Based Indoor Corridor Localization via Smartphone Using Relative Distance Perception and Deviation Compensation. SN Comput. Sci. 5(3): 293 (2024) - 2023
- [j88]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): 3522-3538 (2023) - 2022
- [c109]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: 3681-3687 - 2021
- [j87]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) - [j86]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: 108095 (2021) - [j85]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): 2546-2554 (2021) - [c108]Bruce X. B. Yu, Yan Liu, Keith C. C. Chan:
Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition. AAAI 2021: 3199-3207 - 2020
- [j84]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): 851-858 (2020) - [j83]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): 4038-4046 (2020) - [j82]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): 2050035:1-2050035:26 (2020) - [j81]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): 858-870 (2020) - [j80]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): 1516-1524 (2020) - [j79]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): 4318-4331 (2020) - [j78]Gene P. K. Wu, Keith C. C. Chan:
Discovery of Spatio-Temporal Patterns in Multivariate Spatial Time Series. Trans. Data Sci. 1(2): 11:1-11:22 (2020) - [j77]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): 2115-2128 (2020) - [c107]Bruce X. B. Yu, Yan Liu, Keith C. C. Chan:
A Survey of Sensor Modalities for Human Activity Recognition. KDIR 2020: 282-294 - [i2]Bruce X. B. Yu, Yan Liu, Keith C. C. Chan:
Effective Human Activity Recognition Based on Small Datasets. CoRR abs/2004.13977 (2020) - [i1]Bruce X. B. Yu, Yan Liu, Keith C. C. Chan:
Skeleton Focused Human Activity Recognition in RGB Video. CoRR abs/2004.13979 (2020)
2010 – 2019
- 2019
- [j76]Tiantian He, Keith C. C. Chan:
Measuring Boundedness for Protein Complex Identification in PPI Networks. IEEE ACM Trans. Comput. Biol. Bioinform. 16(3): 967-979 (2019) - [c106]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: 151-161 - [c105]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: 1480-1481 - 2018
- [j75]Tiantian He, Lun Hu, Keith C. C. Chan, Pengwei Hu:
Learning Latent Factors for Community Identification and Summarization. IEEE Access 6: 30137-30148 (2018) - [j74]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): 812-819 (2018) - [j73]Xiangdong Zhou, Keith C. C. Chan:
Detecting gene-gene interactions for complex quantitative traits using generalized fuzzy classification. BMC Bioinform. 19(1): 329:1-329:13 (2018) - [j72]Pei-Yuan Zhou, Keith C. C. Chan:
Fuzzy Feature Extraction for Multichannel EEG Classification. IEEE Trans. Cogn. Dev. Syst. 10(2): 267-279 (2018) - [j71]Tiantian He, Keith C. C. Chan:
Evolutionary Graph Clustering for Protein Complex Identification. IEEE ACM Trans. Comput. Biol. Bioinform. 15(3): 892-904 (2018) - [j70]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): 391-402 (2018) - [j69]Tiantian He, Keith C. C. Chan:
MISAGA: An Algorithm for Mining Interesting Subgraphs in Attributed Graphs. IEEE Trans. Cybern. 48(5): 1369-1382 (2018) - [j68]Tiantian He, Keith C. C. Chan:
Discovering Fuzzy Structural Patterns for Graph Analytics. IEEE Trans. Fuzzy Syst. 26(5): 2785-2796 (2018) - [c104]Pengwei Hu, Zhaomeng Niu, Tiantian He, Keith C. C. Chan:
Learning Deep Representations in Large Integrated Network for Graph Clustering. AIKE 2018: 101-105 - [c103]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: 1163-1169 - [c102]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: 539-545 - [c101]Tiantian He, Keith C. C. Chan:
Learning Latent Factors in Linked Multi-modality Data. ISMIS 2018: 214-224 - [c100]Tiantian He, Keith C. C. Chan, Libin Yang:
Clustering in Networks with Multi-Modality Attributes. WI 2018: 401-406 - 2017
- [j67]Lun Hu, Xiaohui Yuan, Pengwei Hu, Keith C. C. Chan:
Efficiently predicting large-scale protein-protein interactions using MapReduce. Comput. Biol. Chem. 69: 202-206 (2017) - [j66]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: 277-282 (2017) - [j65]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: 81-92 (2017) - [j64]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): 155-166 (2017) - [c99]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: 2250-2253 - [c98]Gene P. K. Wu, Keith C. C. Chan:
Privacy-preserving trajectory classification of driving trip data based on pattern discovery techniques. IEEE BigData 2017: 3816-3825 - [c97]Xiangdong Zhou, Keith C. C. Chan, Danhong Zhu:
A multi-stage approach to detect gene-gene interactions associated with multiple correlated phenotypes. CIBCB 2017: 1-8 - [c96]Guoqiang Li, Keith C. C. Chan:
TDN: Twice-Least-Square Double-Parallel Neural Networks. ICBK 2017: 57-64 - [c95]Bruce X. B. Yu, Keith C. C. Chan:
Discovering Knowledge by Behavioral Analytics for Elderly Care. ICBK 2017: 284-289 - [c94]Pengwei Hu, Tiantian He, Keith C. C. Chan, Henry Leung:
Deep Fusion of Multiple Networks for Learning Latent Social Communities. ICTAI 2017: 765-771 - [c93]Pengwei Hu, Keith C. C. Chan, Tiantian He:
Deep Graph Clustering in Social Network. WWW (Companion Volume) 2017: 1425-1426 - 2016
- [j63]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: 184 (2016) - [j62]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): 456-470 (2016) - [j61]Haibo Li, Keith C. C. Chan, Mengxia Liang, Xiangyu Luo:
Composition of Resource-Service Chain for Cloud Manufacturing. IEEE Trans. Ind. Informatics 12(1): 211-219 (2016) - [c92]Xiangdong Zhou, Keith C. C. Chan:
An effective approach to identify gene-gene interactions for complex quantitative traits using generalized fuzzy accuracy. CIBCB 2016: 1-6 - [c91]Peng-Wei, Keith C. C. Chan, Zhu-Hong You:
Large-scale prediction of drug-target interactions from deep representations. IJCNN 2016: 1236-1243 - 2015
- [j60]Lun Hu, Keith C. C. Chan:
A density-based clustering approach for identifying overlapping protein complexes with functional preferences. BMC Bioinform. 16: 174:1-174:16 (2015) - [j59]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): 176-188 (2015) - [c90]Xiangdong Zhou, Keith C. C. Chan:
A new information-theoretic approach to detect gene-gene interactions in case-control studies. BIBE 2015: 1-5 - [c89]Pei-Yuan Zhou, Keith C. C. Chan:
An unsupervised attribute clustering algorithm for unsupervised feature selection. DSAA 2015: 1-7 - [c88]Pei-Yuan Zhou, Keith C. C. Chan:
A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns. PAKDD (2) 2015: 409-421 - 2014
- [j58]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): 532-540 (2014) - [j57]Yang Liu, Yan Liu, Keith C. C. Chan, Kien A. Hua:
Hybrid Manifold Embedding. IEEE Trans. Neural Networks Learn. Syst. 25(12): 2295-2302 (2014) - [c87]Li Bing, Keith C. C. Chan:
A Paralleled Big Data Algorithm with MapReduce Framework for Mining Twitter Data. BDCloud 2014: 121-128 - [c86]Bing Li, Keith C. C. Chan:
A fast big data collection system using MapReduce framework. CCIS 2014: 530-535 - [c85]Tiantian He, Keith C. C. Chan:
Evolutionary community detection in social networks. IEEE Congress on Evolutionary Computation 2014: 1496-1503 - [c84]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: 232-239 - [c83]Pei-Yuan Zhou, Keith C. C. Chan:
A Model-Based Multivariate Time Series Clustering Algorithm. PAKDD Workshops 2014: 805-817 - [c82]Li Bing, Keith C. C. Chan, Leslie Carr:
Using Aligned Ontology Model to Convert Cultural Heritage Resources into Semantic Web. ICSC 2014: 120-123 - [c81]Li Bing, Keith C. C. Chan:
A Fuzzy Logic Approach for Opinion Mining on Large Scale Twitter Data. UCC 2014: 652-657 - 2013
- [c80]Keith C. C. Chan:
Big data analytics for drug discovery. BIBM 2013: 1 - [c79]Peter Membrey, Keith C. C. Chan, Yuri Demchenko:
A disk based stream oriented approach for storing big data. CTS 2013: 56-64 - 2012
- [j56]Weimin Luo, Keith C. C. Chan:
Discovering patterns in drug-protein interactions based on their fingerprints. BMC Bioinform. 13(S-9): S4 (2012) - [j55]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): 3559-3571 (2012) - [j54]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): 10500-10511 (2012) - [j53]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): 899-908 (2012) - [c78]Peter Membrey, Keith C. C. Chan, Canh Ngo, Yuri Demchenko, Cees de Laat:
Trusted Virtual Infrastructure Bootstrapping for On Demand Services. ARES 2012: 350-357 - [c77]Yang Liu, Yan Liu, Keith C. C. Chan, Jing Zhang:
Neighborhood preserving ordinal regression. ICIMCS 2012: 119-122 - 2011
- [j52]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): S5 (2011) - [j51]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): 300-309 (2011) - [j50]Herbert Lee, Keith C. C. Chan, Eric Tsui:
Knowledge Mining Wikipedia: An Ontological Approach. Int. J. Knowl. Syst. Sci. 2(1): 50-60 (2011) - [j49]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): 1246-1252 (2011) - [j48]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): 987-1003 (2011) - [c76]Yang Liu, Yan Liu, Keith C. C. Chan:
Ordinal Regression via Manifold Learning. AAAI 2011: 398-403 - [c75]Weimin Luo, Keith C. C. Chan:
Discovering Drug-Protein Interactions Based on their Fingerprints. BIBM 2011: 127-130 - [c74]Keith C. C. Chan:
Evolving Graph Structures for Drug Discovery. MDAI 2011: 19 - [c73]Yang Liu, Yan Liu, Sheng-hua Zhong, Keith C. C. Chan:
Semi-supervised manifold ordinal regression for image ranking. ACM Multimedia 2011: 1393-1396 - 2010
- [j47]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. 93-D(3): 531-533 (2010) - [j46]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): 1-29 (2010) - [j45]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): 1-21 (2010) - [j44]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): 789-807 (2010) - [j43]Patrick C. H. Ma, Keith C. C. Chan:
Discovering Interesting Motif-Sets for Multi-Class Protein Sequence Classification. J. Comput. Biol. 17(5): 733-743 (2010) - [j42]Keith C. C. Chan, Xindong Wu:
Special issue on selected papers from IEEE DMF 2008. Knowl. Inf. Syst. 24(3): 339-340 (2010) - [j41]Yang Liu, Yan Liu, Keith C. C. Chan:
Nonlinear dimensionality reduction with hybrid distance for trajectory representation of dynamic texture. Signal Process. 90(8): 2375-2395 (2010) - [j40]Yang Liu, Yan Liu, Keith C. C. Chan:
Tensor Distance Based Multilinear Locality-Preserved Maximum Information Embedding. IEEE Trans. Neural Networks 21(11): 1848-1854 (2010) - [c72]Yang Liu, Yan Liu, Keith C. C. Chan:
Multilinear Maximum Distance Embedding Via L1-Norm Optimization. AAAI 2010: 525-530 - [c71]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: 269-273 - [c70]Andrew K. C. Wong, Bin Wu, Gene P. K. Wu, Keith C. C. Chan:
Pattern discovery for large mixed-mode database. CIKM 2010: 859-868 - [c69]Yang Liu, Yan Liu, Keith C. C. Chan:
Supervised manifold learning for image and video classification. ACM Multimedia 2010: 859-862 - [p2]Kim Man Lui, Kyle Atikus Barnes, Keith C. C. Chan:
Pair Programming: Issues and Challenges. Agile Software Development 2010: 143-163
2000 – 2009
- 2009
- [j39]Samuel S. Y. Wong, Keith C. C. Chan:
EvoArch: An evolutionary algorithm for architectural layout design. Comput. Aided Des. 41(9): 649-667 (2009) - [j38]Yang Liu, Yan Liu, Keith C. C. Chan:
Dimensionality reduction for heterogeneous dataset in rushes editing. Pattern Recognit. 42(2): 229-242 (2009) - [j37]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): 1803-1809 (2009) - [c68]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: 9-27 - [c67]Yan Liu, Yang Liu, Keith C. C. Chan:
Multilinear Isometric Embedding for visual pattern analysis. ICCV Workshops 2009: 212-218 - [c66]Yang Liu, Yan Liu, Keith C. C. Chan:
Bidirectional visible neighborhood preserving embedding. ICIMCS 2009: 155-160 - [e1]Marina L. Gavrilova, Chih Jeng Kenneth Tan, Yingxu Wang, Keith C. C. Chan:
Transactions on Computational Science V, Special Issue on Cognitive Knowledge Representation. Lecture Notes in Computer Science 5540, Springer 2009, ISBN 978-3-642-02096-4 [contents] - 2008
- [j36]Kim Man Lui, Keith C. C. Chan:
Software process fusion by combining pair and solo programming. IET Softw. 2(4): 379-390 (2008) - [j35]Patrick C. H. Ma, Keith C. C. Chan:
UPSEC: An Algorithm for Classifying Unaligned Protein Sequences into Functional Families. J. Comput. Biol. 15(4): 431-443 (2008) - [j34]Andrew K. C. Wong, Wai-Ho Au, Keith C. C. Chan:
Discovering High-Order Patterns of Gene Expression Levels. J. Comput. Biol. 15(6): 625-637 (2008) - [j33]Lan Zhang, Henry Leung, Keith C. C. Chan:
Information fusion based smart home control system and its application. IEEE Trans. Consumer Electron. 54(3): 1157-1165 (2008) - [j32]Kim Man Lui, Keith C. C. Chan:
Rescuing Troubled Software Projects by Team Transformation: A Case Study With an ERP Project. IEEE Trans. Engineering Management 55(1): 171-184 (2008) - [j31]Patrick C. H. Ma, Keith C. C. Chan:
Inferring Gene Regulatory Networks From Expression Data by Discovering Fuzzy Dependency Relationships. IEEE Trans. Fuzzy Syst. 16(2): 455-465 (2008) - [j30]Kim Man Lui, Keith C. C. Chan, John T. Nosek:
The Effect of Pairs in Program Design Tasks. IEEE Trans. Software Eng. 34(2): 197-211 (2008) - [j29]Wanrong Yu, Jiannong Cao, Xingming Zhou, Xiaodong Wang, Keith C. C. Chan, Alvin T. S. Chan, Hong Va Leong:
A High-Throughput MAC Protocol for Wireless Ad Hoc Networks. IEEE Trans. Wirel. Commun. 7(1): 135-145 (2008) - [c65]Kim Man Lui, Keith C. C. Chan:
Software Process Fusion: Exploring process relationships. IEEE ICCI 2008: 181-184 - [c64]