Ka-Chun Wong
Ka-Chun Wong
Assistant Professor
  • : (852)34428618

Department of Computer Science
City University of Hong Kong
Hong Kong

Education

Ph.D. Computer Science, University of Toronto 2011 - 2014
M.Phil. Computer Science and Engineering, CUHK 2008 - 2010
B.Eng. Computer Engineering, CUHK 2005 - 2008

 

Biography

Ka-Chun Wong joined the Department of Computer Science as a faculty at City University of Hong Kong without any postdoctoral placement in 2015 . Previously, he received his B.Eng. in Computer Engineering from United College, the Chinese University of Hong Kong in 2008. He has also obtained his M.Phil. degree in the Department of Computer Science and Engineering at the same university in 2010. From 2011 to 2014, he has spent 3.5 years (2012-13 departmental average: 6 years with master degree) to finish a PhD degree in Department of Computer Science proudly under the supervision of Professor ZHANG ZhaoLei (Donnelly Centre for Cellular and Biomolecular Research) at University of Toronto . With exposures to different aspects (academic, industrial, spiritual ,and social), he hopes to strike a balance and contribute to the society

 

Research Interest

  • Computational Biology & Bioinformatics
  • Big Data Mining & Applied Machine Learning
  • Natural Computing
  • Computational Science
  • Quantitative & Interdisciplinary Research

 

Professional Activities:

Graduate Research and Teaching Assistant, University of Toronto

2011-2014

Assistant Professor, Computer Science, City University of Hong Kong

2015

Publication Chairship: ISCBI

2015

Editorial Board Membership: Artificial Intelligence Research; Big Data Analytics (BioMedCentral); Big Data (Frontiers); Bioinformatics and Computational Biology (Frontiers); Journal of Bioinformatics and Proteomics Review.

 

Program Committee Membership: APBC

2016

 

Publications

  1. [Book 2] Ka-Chun Wong: Big Data Analytics in Genomics. Springer (New York) 2017 (Under Editing)
  2. [Book 1] Ka-Chun Wong: Computational Biology and Bioinformatics: Gene Regulation. CRC Press (Taylor & Francis Group) 2016 (Content: 17 Peer-Reviewed Book Chapters with 52 Authors from Australia, Belgium, Brazil, Egypt, Germany, Hong Kong, India, Japan, USA)
  3. [J17] Ka-Chun Wong*, Yue Li, Chengbin Peng: Identification of coupling DNA motif pairs on long-range chromatin interactions in human K562 cells. Bioinformatics 2016 (In Press) 2014 Impact Factor = 4.981
  4. [J16] Ka-Chun Wong*, Yue Li, Chengbin Peng, Alan M Moses, Zhaolei Zhang*: Computational Learning on Specificity-Determining Residue-Nucleotide Interactions. Nucleic Acids Research 2015, 43 (21): 10180-10189 2014 Impact Factor = 9.112
  5. [J15] Ka-Chun Wong, Yue Li, Chengbin Peng, Zhaolei Zhang*: SignalSpider: Probabilistic Pattern Discovery on Multiple Normalized ChIP-Seq Signal Profiles. Bioinformatics 2015, 31 (1): 17-24 Supplementary Data Website Link
  6. [J14] Graham Cromar, Ka-Chun Wong, Noeleen Loughran, Tuan On, Hongyan Song, Xuejian Xiong, Zhaolei Zhang, John Parkinson. New tricks for ‘old’domains: How novel architectures and promiscuous hubs contributed to the organization and evolution of the ECM. Genome Biology and Evolution 2014, Vol. 6 2897-2917
  7. [J13] Yue Li#*, Liang Cheng#, Ka-Chun Wong, Jiawei Luo, Zhaolei Zhang*: Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion. Bioinformatics 2014, 30 (18): 2627-2635
  8. [J12] Ka-Chun Wong*, Chengbin Peng, Yue Li, Tak-Ming Chan: Herd Clustering: A synergistic data clustering approach using collective intelligence. Applied Soft Computing 2014, Volume 23, Pages 61-75
  9. [J11] Yue Li, Liang Cheng, Ka-Chun Wong, Ke Jin, Zhaolei Zhang*: Inferring probabilistic miRNA-mRNA interaction signatures in cancers: a role-switch approach. Nucleic Acids Research 2014, 42 (9): e76
  10. [J10] Ka-Chun Wong, Zhaolei Zhang*: SNPdryad: Predicting Deleterious Non-synonymous human SNPs Using Only Orthologous Protein Sequences. Bioioformatics 2014, 30 (8): 1112-1119 Supplementary Data Website Link (Forward-twitted by the editor-in-chief, Alfonso Valencia, who handled its submission) Proteomic Data Download
  11. [J9] Yue Li*, Anna Goldenberg, Ka-Chun Wong, Zhaolei Zhang*: A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information. Bioinformatics 2014, 30 (5): 621-628.
  12. [J8] Ka-Chun Wong, Tak-Ming Chan, Chengbin Peng, Yue Li, Zhaolei Zhang*: DNA Motif Elucidation using Belief Propagation. Nucleic Acids Research 2013, 41 (16): e153. Supplementary Data Website Link
  13. [J7] Ming Fan, Ka-Chun Wong, Taewoo Ryu, Timothy Ravasi, Xin Gao*: SECOM: A Novel Hash Seed and Community Detection Based-Approach for Genome-Scale Protein Domain Identification. PLoS ONE 2012 7(6): e39475.doi:10.1371/journal.pone.0039475
  14. [J6] Chengbin Peng, Xiaogang Jin, Ka-Chun Wong, Meixia Shi, Pietro Lio*: Collective Human Mobility Pattern from Taxi Trips in Urban Area. PLoS ONE 2012 7(4): e34487. doi:10.1371/journal.pone.0034487 Request Data
  15. [J5] Ka-Chun Wong*, Chun-Ho Wu, Ricky K.P. Mok, Chengbin Peng, Zhaolei Zhang: Evolutionary multimodal optimization using the principle of locality. Information Sciences, Volume 194, 1 July 2012, Pages 138-170
  16. [J4] Y.Leung*, M.H.Wong, K.C.Wong, W.Zhang, K.S.Leung: A Novel Web-based System for Tropical Cyclone Analysis and Prediction. International Journal of Geographical Information Science Vol. 26, Iss. 1, 2012, Pages 75-97 Website Link
  17. [J3] Tak-Ming Chan*, Ka-Chun Wong, Kin-Hong Lee, Man-Hon Wong, Chi-Kong Lau, Stephen K. W. Tsui, Kwong-Sak Leung: Discovering approximate-associated sequence patterns for protein-DNA interactions. Bioinformatics, 27, 4:471-8, 2011.
  18. [J2] Ka-Chun Wong*, Chengbin Peng, Man-Hon Wong, Kwong-Sak Leung: Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm. Soft Computing, 15:1631-1642, 2011.
  19. [J1] Kwong-Sak Leung, Ka-Chun Wong*, Tak-Ming Chan, Man-Hon Wong, Kin-Hong Lee, Chi-Kong Lau, and Stephen K. W. Tsui: Discovering protein–DNA binding sequence patterns using association rule mining Nucleic Acids Research 2010 38: 6324-6337. (among the top NAR articles in Computational Biology as of Oct 2011 - August 2013)
  20. Ka-Chun Wong*, Yue Li, Chengbin Peng: Identification of Coupling DNA Motif Pairs on Long-Range Chromatin Interactions in Human K562 Cells. Bioinformatics (Advanced Online)
  21. 2. Ka-Chun Wong*, Yue Li, Chengbin Peng, Alan M. Moses, Zhaolei Zhang*: Computational Learning on Specificity-Determining Residue-Nucleotide Interactions. Nucl. Acids Res. (2015) 43 (21): 10180-10189
  22. 3. Ka-Chun Wong, Yue Li, Chengbin Peng, Zhaolei Zhang*: SignalSpider: Probabilistic Pattern Discovery on Multiple Normalized ChIP-Seq Signal Profiles Bioinformatics (2015) 31 (1): 17-24
  23. 4. Ka-Chun Wong, Zhaolei Zhang*: SNPdryad: predicting deleterious non-synonymous human SNPs using only orthologous protein sequences. Bioinformatics (2014) 30 (8): 1112-1119
  24. 5. Ka-Chun Wong, Tak-Ming Chan, Chengbin Peng, Yue Li, Zhaolei Zhang*: DNA Motif Elucidation using Belief Propagation. Nucleic Acids Res (2013) 41 (16): e153
  25. Ka-Chun Wong*, Chengbin Peng, Man-Hon Wong, Kwong-Sak Leung: Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm. Soft Computing, 2011, 15:1631-1642 (IF~=1.5)
  26. 2. Kwong-Sak Leung, Ka-Chun Wong*, Tak-Ming Chan, Man-Hon Wong, Kin-Hong Lee, Chi-Kong Lau, and Stephen K. W. Tsui: Discovering protein–DNA binding sequence patterns using association rule mining Nucleic Acids Res. 2010 38: 6324-6337. (IF~=9)
  27. 3. Ka-Chun Wong, Kwong-Sak Leung, Man-Hon Wong: Protein Structure Prediction on a Lattice Model via Multimodal Optimization Techniques. ACM GECCO 2010: 155-162

 

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