KEITH C. C. CHAN

Dept. of Computing,

Hong Kong Polytechnic University,

Hung Hom, Kowloon

Hong Kong

Tel: +852-2766-7282

email: keith.chan@polyu.edu.hk

BIOGRAPHical NOTE

Chan obtained his B.Math. (Hons.) in Computer Science and Statistics in 1984 and M.A.Sc. and Ph.D. in Systems Design Engineering in 1985 and 1989 respectively from the University of Waterloo, Waterloo, Ontario, Canada. Soon after graduation, he joined the IBM Canada Laboratory in Toronto, Ontario, Canada, as a software analyst and was involved in the development of multimedia and software engineering tools. He joined the Ryerson University as an Associate Professor in 1993. In 1994, he returned to Hong Kong to join The Hong Kong Polytechnic University where he is currently a Professor in the Department of Computing. Chan's research interests are in Big Data Analytics, Machine Learning, Bioinformatics, Artificial Intelligence, Evolutionary Computation, Fuzzy Systems and Software Engineering.  He has published over 250 research papers in these areas in refereed journals and conference proceedings and has also been serving actively as organizer and program committee member of numerous conferences in his research areas.  Chan's research has been supported by the Research Grants Council and the Innovation and Technology Commission of the HKSAR Government and the industry. He has also been active in "knowledge transfer" through consulting and contract research.

RESEARCH AREAS

Big Data Analytics, Machine Learning, Artificial Intelligence, Evolutionary Computation, Fuzzy Systems, Bioinformatics and Computational Biology and Software Engineering.

CURRENT RESEARCH PROJECTS

        Artificial Neural Networks and Deep Learning for Graph Clustering.

        Discovering structural patterns in complex networks for social media analysis.

        Machine learning in multiple time series data and applications in financial analysis.

        Text mining for topic modeling and news analysis.

        Computational intelligence for drug design and development.

        Big data analytics for predicting drug-target interactions and drug side effects.

        Behavioral analytics for elderly care using machine learning and artificial intelligence.

recent PUBLICATIONs (since 2015)

For full publication list, please click here or see dblp.

Citation details, please see my google citation profile.

1.        He, T., and Chan, K.C.C., "Discovering Fuzzy Structural Patterns for Graph Analytics, " IEEE Transactions on Fuzzy Systems (Accepted).

2.        Hu, P., Chan, K.C.C., He, T., and Leung, H., "Deep Fusion of Multiple Social Networks for Learning Latent Social Communities, ̄ Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, Boston, MA, Nov 6-8, 2017. (To Appear).

3.        Zhou, X., and Chan, K.C.C., "A multi-stage approach to detecting gene-gene interactions associated with multiple correlated phenotypes." Proceedings of the IEEE International Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB 2017), Manchester, UK, August 23-25, 2017 (To appear).

4.        Yu, B.X.B., and Chan, K.C.C., "Discovering Knowledge by Behavioral Analytics for Elderly Care," The 8th IEEE International Conference on Big Knowledge (IEEE ICBK 2017), Hefei, China, Aug 9-10, 2017. (To appear).

5.        Li, G., and Chan, K.C.C., "Twice-Least-Square Double-Parallel Neural Networks," The 8th IEEE International Conference on Big Knowledge (IEEE ICBK 2017), Hefei, China, Aug 9-10, 2017. (To appear).

6.        Hu, L., Yuan, X., Hu, P., and Chan, K.C.C., "Efficiently Predicting Large-Scale Protein-Protein Interactions Using MapReduce," Computational Biology and Chemistry, April, 2017. DOI: 10.1016/j.compbiolchem.2017.03.009.

7.        He, T., and Chan, K.C.C., "MISAGA: An Algorithm for Mining Interesting Sub-Graphs in Attributed Graphs, " IEEE Transactions on Cybernetics (Accepted).

8.        Hu, P., Chan, K.C.C., He, T., "Deep Graph Clustering in Social Network, " Proceedings of the 26th International Conference on World Wide Web Companion (WWW17 Companion), Perth, Australia, 3-7 April, 2017, pp. 1425-1426. (DOI: 10.1145/3041021.3051158).

9.        Zhou, P.Y., and Chan, K.C.C., "A fuzzy approach to discovering patterns for multi-channel EEG classification," IEEE Transaction on Cognitive and Developmental Systems (To appear).

10.    Hu, P., Chan, K.C.C., and Hu, Y., "Predicting drug-target interactions based on small positive samples," Current Protein & Peptide Science. (To appear).

11.    Li, B., Chan, K.C.C. Ou, X.J.C. and Sun, R.F., "Discovering Public Sentiment in Social Media for Predicting Stock Movement of Publicly Listed Companies," Information systems (To appear) (NOI: 10.1016/j.is.2016.10.001).

12.    He, T., and Chan, K.C.C., "Evolutionary Graph Clustering for Protein Complex Identification," IEEE/ACM Transactions on Computational Biology and Bioinformatics (To appear) (NOI: 10.1109/TCBB.2016.2642107).

13.    Hu, L., Yuan, X., Hu, P., and Chan, K.C.C., "Parallel Identification of Variable-Length Patterns for Large-Scale Prediction of Protein-Protein Interactions Using MapReduce," Proceedings of the Fifteenth Asia Pacific Bioinformatics Conference (APBC 2017), Shenzhen, China, January 16-18, 2017

14.    You, Z.H., Li, X. and Chan, K.C.C., "An Improved Sequence-based Prediction Protocol for Protein-Protein Interactions Using Amino Acids Substitution Matrix and Rotation Forest Ensemble Classifiers," Neurocomputing, Vol. 228, No. 3, March, 2017, pp.277-282. (DOI: 10.1016/j.neucom.2016.10.042).

15.    Hu L., and Chan, K.C.C., "Extracting co-evolutionary features in protein sequences for predicting protein-protein interactions." IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 14, Iss. 1, Jan.-Feb., 2017, pp. 155-166 (DOI:10.1109/TCBB.2016.2520923).

16.    Chen, X., Huang, Y.A., Wang, X.S., You, Z.H., and Chan, K.C.C., "FMLNCSIM: Fuzzy measure-based IncRNA functional similarity calculation model," Oncotarget, vol. 7, no. 29, June, 2016, pp. 45948-45058.

17.    Huang, Y.A., Chen, X., You, Z.H., Huang, D.S., and Chan, K.C.C., "ILNCSIM: improved IncRNA functional similarity calculation model," Oncotarget, vol. 7, no. 18, May, 2016, pp. 1-13.

18.    Hu, L., and Chan, K.C.C., "Fuzzy clustering in a complex network based on content relevance and link structures," IEEE Transactions on Fuzzy Systems, vol. 24, no. 2, April, 2016, pp. 456-470.

19.    Huang, Y.A., You, Z.H., Chen, X., Chan, K.C.C., and Luo, X., "Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding," BMC Bioinformatics, vol. 17, no. 1, Apr., 2016, pp. 1-11.

20.    H. Li, K.C.C. Chan, M. Liang, and X. Luo, "Composition of Resource-Service Chain for Cloud Manufacturing," IEEE Transactions on Industrial Informatics, vol. 12, no. 1, Feb., 2016, pp. 211-219.

21.    Hu, L., and Chan, K.C.C., "Discovering Variable-length Patterns in Protein Sequences for Protein-Protein Interaction Prediction." IEEE Transactions on Nano Biosciences, vol. 14, no. 4, June, 2016, pp.409-416.

22.    X. Zhou, and K.C.C. Chan, "An effective approach to identify gene-gene interactions for complex quantitative traits using generalized fuzzy accuracy." Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), Chiang Mai, Thailand, October 5-7, 2016.

23.    P. Hu, K.C.C. Chan and Z.H. You, "Large-Scale Prediction of Drug-Target Interactions from Deep Representations," Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, July 24-29, 2016.

24.    Liu, Y., Liu, Y., Wang, C., Wang, X., Zhou, P., Yu, G., and Chan, K.C.C., "What strikes the strings of our heart? - Multi-label dimensionality reduction for music emotion analysis via brain imaging," IEEE Transactions on Autonomous Mental Development, vol. 7, no. 3, Sept., 2015, pp. 176-188.

25.    You, Z.H., Chan, K.C.C., and Hu, P., "Prediction of protein-protein interaction from primary protein sequence using random forest model with a novel multi-scale local feature representation," PLoS ONE, vol. 10, no. 4, May, 2015, pp. 1-19.

26.    Hu, L., and Chan, K.C.C., "A Density-Based Clustering Approach for Identifying Overlapping Protein Complexes with Functional Preferences." BMC Bioinformatics, 16:174, 2015.

27.    X. Zhou, and K.C.C. Chan, "A new information-theoretic approach to detecting gene-gene interactions in case-control studies." Proceedings of the 15th IEEE International Conference on Bioinformatics and Bioengineering (BIBE 2015), Belgrade, Serbia, Nov., 2-4, 2015, pp. 1-5.

28.    P.Y. Zhou and K.C.C. Chan, "An Unsupervised Attribute Clustering Algorithm for Unsupervised Feature Selection," Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, Paris, France, Oct., 19-21, 2015, pp. 1-7.

29.    P.Y. Zhou and K.C.C. Chan, "A Feature Extraction Method for Multivariate Time Series Classification Using Temporal Patterns," Proceedings of the 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Ho Chi Minh City, Vietnam, May 19-22, 2015, pp. 409-421.

Conference And Program Committee Membership (Since 2017)

For full list of conference organization and program committee membership, please click here.

2018

2018 International Conference on E-Business and Applications (ICEBA 2018), Da Nang, Vietnam, February 23-15, 2018.

TC Member

2018

12th International Conference on Structural and Molecular Biology and Structural Biology Congress 2018, May 28-30, Osaka, Japan.

OC Member

2018

The 32nd AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, LA, February 2-7, 2018.

PC Member

2018

The 8th International Conference on Web Intelligence, Mining and Semantics, 2018.

PC Member

2017

IEEE International Conference on Data Mining (ICDM 2017), New Orleans, LA, November 18-21, 2017.

PC Member

2017

IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2017), Kansas City, MO, November 13-16, 2017.

PC Member

2017

International Conference on Machine Learning and Data Science (ICMLDS-2017), Delhi NCR, India, December 14-15, 2017.

PC Member

2017

International Symposium on Education Technology (ISET2017), Hong Kong, June 27-29, 2017.

PC Member

2017

8th Annual International Conference on ICT: Big Data, Cloud and security (ICT-BDCS 2017), Singapore, August 21-22, 2017.

PC Member

2017

IEEE/WIC/ACM International Conference on Web Intelligence 2017 (WI'17), Leipzig, Germany, August 23-26, 2017.

PC Member

2017

The 6th International Conference on Biomedical Engineering and Biotechnology (ICBEB 2017), Oct 17-20, 2017, Guangzhou, China.

TC Member

2017

International Conference on Blended Learning 2017 (ICBL 2017), June 27-29, 2017, Hong Kong.

PC Member

2017

IEEE International Conference on Big Knowledge (ICBK 2017), Hefei, Anhui, China, August 9-10, 2017.

PC Member

2017

9th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2017), Madeira, Portugal, November 1-3, 2017.

IPC Member

2017

The Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17), San Francisco, CA, February 4-9, 2017.

PC Member

2017

International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2017), Granada, Spain, April, 2017.

PC Member

2017

International Conference on Cloud Computing and Applications (CCA'17), June 5-6, 2017.

SC Member

2017

2017 International Conference on Artificial Intelligence, Automation and Control Technologies (AIACT 2017), Wuhan, China, April 7-9, 2017.

ITC Member

2017

The International Conference on Cloud Computing and Applications (CCA'17), Rome, Italy, June 5-6, 2017.

SC Member

2017

The 15th Asia Pacific Bioinformatics Conference, APBC 2017, Shenzhen, China, 11-13, Jan., 2017.

General

Co-Chair

2017

11th IEEE International Conference on Semantic Computing (ICSC2017), San Diego, CA, Jan 30-Feb 1, 2017.

Publicity

Co-Chair

2017

2017 International Conference on Big Data Analytics & Computational Intelligence (ICBDACI), Chirala Andhra Pradesh, India, Mar.23-25, 2017.

IAB Member

GRADUATE STUDENTS

PhD students

Y.A. Huang (In progress).

X.B. Yu (In progress).

G.P.K. Wu (In progress).

P. Hu (In progress).

X. Zhou (In progress).

T.T. He (Completed 2017).

P.Y. Zhou (Completed 2016).

L. Hu (Completed 2015).

B. Li (Completed 2015).

Y.W. Tung (Completed 2012).

W.W.M. Lam (Completed 2010).

S.S.Y. Wong (Completed 2009).

K.M. Lui (Completed 2006).

P.C.H. Ma (Completed 2006).

W.H. Au (Completed 2005).

 

MPhil Students

W.M. Luo (Completed 2012).

G.P.K. Wu (Completed 2012).

K. Chiu (Completed 2008).

E. Lee. (Completed 2008).

S. Lee. (Completed 2007).

C. Ng (Completed 2002).

M.L. Chung (Completed 2001).

L.H. Chung (Completed 2000).

C.Y. Yan (Completed 1999).

W.H. Au (Completed 1998).

V. Lee (Completed 1998).