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, Bioinformatics 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.

Artificial Intelligence, Machine Learning and Data Analytics (since 2015)

1.                  

He, T., Liu, Y., Ko, T.H., Chan, K.C.C. and Ong, Y.S., "Contextual Correlation Preserving Multi-View Featured Graph Clustering," IEEE Transactions on Cybernetics, (Accepted).

 

2.                  

Hu, P., Li, S., Gu, S., Hu, L., and Chan, K.C.C., "Inductive Matrix Completion for Network Fusion." First International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI 2019), Barcelona, Spain, Mar 20-22, 2019.

 

3.                  

Hu, L., Chan, K.C.C. Yuan, X., and Xiong, S., "A Variational Bayesian Framework for Cluster Analysis in A Complex Network, " IEEE Transactions on Knowledge and Data Engineering. (To Appear).

 

4.                  

Hu, P., Niu, Z., He, T., and Chan, K.C.C., "Learning Deep Representations in Large Integrated Networks for Graph Clustering" Proceedings of the First IEEE International Conference on Artificial Intelligence and Knowledge Engineering (IEEE AIKE 2018), Laguna Hills, CA, Sept. 26-28, 2018.

 

5.                  

T. He, and K.C.C. Chan, "Learning Latent Factors in Linked Multi-Modality Data," Proceedings of the 24th International Symposium on Methodologies for Intelligent Systems (ISMIS2018),Limassol, Cyprus, October 29-21, 2018.

 

6.                  

T. He, L. Hu, K.C.C. Chan, and P. Hu, "Learning Latent Factors for Community Identification and Summarization," IEEE Access, Vol. 6, 2018,  pp.30137-30148.

 

7.                  

Zhou, P.Y., and Chan, K.C.C., "Fuzzy Feature Extraction for Multi-Channel EEG Classification," IEEE Transaction on Cognitive and Developmental Systems. Vol. 10, No. 2, 2018, pp. 267-279.

 

8.                  

Zhou, P.Y., Chan, K.C.C. and Ou, X.J.C., "Corporate Communication Network and Stock Price Movements: Insights from Data Mining," IEEE Transactions on Computational Social Systems. Vol. 5, No. 2, 2018, pp. 391-402.

 

9.                  

Wu, G.P.K., and Chan, K.C.C., "Clustering Driving Trip Trajectory Data Based on Pattern Discovery Techniques," Proceedings of the 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA 2018), Shanghai, China, March 09-12, 2018.

 

10.              

Wu, G.P.K., and Chan, K.C.C., "Mining Spatio-Temporal Patterns in Multivariate Spatial Time Series," Proceedings of the 2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA 2018), Shanghai, China, March 09-12, 2018.

 

11.              

He, T., and Chan, K.C.C., "Discovering Fuzzy Structural Patterns for Graph Analytics." IEEE Transactions on Fuzzy Systems, Vol. 26, Iss. 5, October, 2018, pp. 2785-2796.

 

12.              

He, T., and Chan, K.C.C., "MISAGA: An Algorithm for Mining Interesting Sub-Graphs in Attributed Graphs, " IEEE Transactions on Cybernetics, vol. 48, No. 5, May, 2018, pp. 1369-1382.

 

13.              

Wu, G.P.K., and Chan, K.C.C., "Privacy-Preserving Trajectory Classification of Driving Trip Data Based on Pattern Discovery Techniques," Proceedings of the 2017 IEEE International Conference on Big Data (IEEE Big Data 2017) Workshop on Applications of Big Data Technology in the Transport Industry, Boston, MA, Dec. 11-14, 2017.

 

14.              

Li, G.Q, Qi, X.B., Chan, K.C.C., and Chen, B., "Deep Bidirectional Learning Machine for Predicting NOx Emissions and Boiler Efficiency from a Coal-Fired Boiler," Energy & Fuels, 31, 2017, pp.11471-11480.

 

15.              

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 (IEEE ICTAI 2017), Boston, MA, Nov 6-8, 2017.

 

16.              

Yu, B.X.B., and Chan, K.C.C., "Discovering Knowledge by Behavioral Analytics for Elderly Care," Proceedings of the 8th IEEE International Conference on Big Knowledge (IEEE ICBK 2017), Hefei, China, Aug 9-10, 2017, pp. 284-289.

 

17.              

Li, G.Q., 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, pp. 57-64.

 

18.              

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.

 

19.              

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, vol. 69, Sept., 2017, pp. 81-92.

 

20.              

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.

 

21.              

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.

 

22.              

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.

 

23.              

Zhou, P.Y., and Chan, K.C.C., "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.

 

24.              

Zhou, P.Y., and Chan, K.C.C., "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.

 

AI and Machine Learning in Bioinformatics and Computational Biology (since 2015)

25.              

Huang, Y.A., Hu, P., Chan, K.C.C., and You, Z.H., "Graph Convolution for Predicting Associations between miRNA and Drug Resistance from Raw Data," Bioinformatics. (Accepted).

 

26.              

Hu, P., Huang, Y.A, Chan, K.C.C. and You, Z.H., "Learning Multimodal Networks from Heterogeneous Data for Prediction of lncRNA-miRNA Interactions". IEEE Transactions on Computational Biology and Bioinformatics. (Accepted).

 

27.              

He, T., and Chan, K.C.C., "Measuring Boundedness for Protein Complex Identification in PPI Networks." IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol. 16, No. 3, 2019, pp. 967-979.

 

28.              

He, T., and Chan, K.C.C., "Evolutionary Graph Clustering for Protein Complex Identification," IEEE/ACM Transactions on Computational Biology and Bioinformatics. Vol. 15, No. 3, 2018, pp. 892-904.

 

29.              

Hu, P., Chan, K.C.C., and Hu, Y., "Predicting drug-target interactions based on small positive samples," Current Protein & Peptide Science, vol. 19, no. 5, 2018, pp. 479-487.

 

30.              

Zhou, X., and Chan, K.C.C., "Detecting Gene-Gene Interactions for Complex Quantitative Traits Using Generalized Fuzzy Classification." BMC Bioinformatics. Vol. 19, No. 1, 2018, pp.329:1-13.

 

31.              

Hu, P., You, Z.H., He, T., Li, S., Gu, S., and Chan, K.C.C., "Learning Latent Patterns in Molecular Data for Explainable Drug Side Effects Prediction". Proceedings of the 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2018), Madrid, Spain, December 3-6, 2018, pp.1163-1169.

 

32.              

Hu, P., Huang, Y.A., Chan, K.C.C., and You, Z.H., "Discovering An Integrated Network in Heterogeneous Data for Predicting lncRNA-miRNA Interactions." Proceedings of the 2018 International Conference on Intelligent Computing (ICIC2018), Wuhan, China, Aug. 15-18, 2018.

 

33.              

Huang, Y.A., Chan, K.C.C., and You, Z.H., "Constructing Prediction Models from Expression Profiles for Large Scale lncRNA-miRNA Interaction Profiling," Bioinformatics, vol. 34, no. 5, 2017, pp. 812-819.

 

34.              

Hu, P., Chan, K.C.C., Hu, L., "Discovering Second-Order Sub-Structure Associations in Drug Molecules for Side-Effect Prediction," Proceedings of the IEEE 2017 International Conference on Bioinformatics and Biomedicine (BIBM), Kansas City, MO, Nov 13-16, 2017, pp. 2250-2253.

 

35.              

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, pp. 1-8.

 

36.              

Hu, L., Yuan, X., Hu, P., and Chan, K.C.C., "Efficiently Predicting Large-Scale Protein-Protein Interactions Using MapReduce," Computational Biology and Chemistry, vol. 69, 2017, pp. 202-206.

 

37.              

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, pp. 202-206

 

38.              

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.

 

39.              

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.

 

40.              

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.

 

41.              

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.

 

42.              

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.

 

43.              

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.

 

44.              

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, pp. 1-6.

 

45.              

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, pp. 1236-1243.

 

46.              

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.

 

47.              

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.

 

48.              

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.

 

CONFERENCE AND PROGRAM COMMITTEE MEMBERSHIP (Since 2019)

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

 

 

 

2020

The Sixth International Conference on Big Data, Small Data, Linked Data and Open Data (ALLDATA 2020), Lisbon, Portugal, Feb. 23-27, 2020.

PC Member

2020

The 3rd World Conference on Robotics and Artificial Intelligence (Robotics-2020), St. Petersburg, Russia. June 18-19, 2020.

OC Member

2020

The 14th IEEE International Conference on Semantic Computing (ICSC 2020), San Diego, CA, Feb 3 -- 5, 2020.

PC Member

2019

11th International Conference on Knowledge Engineering and Ontology Development, Vienna, Austria, Sept. 17-19, 2019.

PC Member

2019

2019 International Conference on Industrial Technology of Big Data and Artificial Intelligence (BDAI 2019), Shanghai, China, Oct 17-19, 2019.

PC Member

2019

The 32nd Australian Joint Conference on Artificial Intelligence (AI2019), Adelaide, Australia, Dec 2-5, 2019.

PC Member

2019

2019 3rd International Conference on Biomedical Engineering and Bioinformatics (ICBEB 2019), Penang, Malaysia, Sept. 25-27, 2019.

PC Member

2019

The 28th ACM International Conference on Information and Knowledge Management (CIKM 2019), Beijing, China, November 3-7, 2019.

PC Member

2019

IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2019), San Diego, CA, Nov. 18-21, 2019.

PC Member

2019

IEEE International Conference on Data Mining (ICDM 2019), Beijing, China, November 8-11, 2019.

PC Member

2019

18th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC 19), Milan, Italy, July 23-25, 2019.

PC Member

2019

The first International Conference on Transdisciplinary AI (TransAI 2019), Laguna Hills, CA, Sept 25-27, 2019

PC Member

2019

2019 International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2019), Wenzhow, China, August 26-28, 2019.

PC Member

2019

11th International Conference on Knowledge Discovery and Information Retrieval (KDIR 2019), Vienna, Austria, September 17-19, 2019.

IPC Member

2019

The 2nd IEEE International Conference on Artificial Intelligence and Knowledge Engineering (AIKE 2019), Sardinia, Italy, June 3-5-3, 2019.

PC Member

2019

The 7th International Work-Conference on Bioinformatics and Biomedical Engineering (IWBBIO 2019), Granada, Spain, May 8-10, 2019.

PC Member

2019

31st International Conference on Software Engineering and Knowledge Engineering (SEKE' 2019), Lisbon, Portugal, June 28-30, 2019.

PC Member

2019

The 13th IEEE International Conference on Semantic Computing (ICSC 2019), Newport Beach, CA, Jan 30-Feb 1, 2019.

PC Member

2019

The Fifth International Conference on Big Data, Small Data, Linked Data and Open Data (ALLDATA 2019), Valencia, Spain, March 24-March 28, 2019.

PC Member

2019

14th International Conference on Metabolomics and Proteomics, Osaka, Japan, March 28-29, 2019.

OC Member

2019

15th International Conference on Structural and Molecular Biology, Sydney, Australia, March 20-21, 2019.

PC Member

2019

The 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2019), Macau, China, Apr 14-17, 2019.

PC Member

2019

The 33rd AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, HI, Jan., 27 -- Feb. 1., 2019.

PC Member

2019

The First International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI 2019), Barcelona, Spain, March 20-22, 2019.

PC Member

GRADUATE STUDENTS AND POST-DOCTORAL RESEARCH FELLOWS

Hong Kong Scholars

G. Li (2016-2018).

Z.H. You (2014-2016).

 

PhD students

Y.A. Huang (In progress).

X.B. Yu (In progress).

G.P.K. Wu (Completed 2019).

P. Hu (Completed 2019).

X. Zhou (Completed 2018).

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).