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Dr. WONG Ka Chun (黃家駿博士)

BEng MPhil CUHK, PhD Toronto

Assistant Professor

(PhD Supervisor)

Contact Information

Office: B6424 AC1
Phone: 34428618
Email: kc.w@cityu.edu.hk
Web: Personal Homepage

Research Interests

  • Computational Biology
  • Bioinformatics
  • Evolutionary Computation
  • Big Data Analytics
  • Applied Machine Learning
  • Natural Computing
  • Computational Science
  • Interdisciplinary Research
  • Applied Data Mining

Job Openings

Ka-Chun has spent 3.5 years (2012-13 departmental average: 6 years after master degree) to finish a PhD degree in Department of Computer Science at University of Toronto proudly under the supervision of Professor ZHANG ZhaoLei (CCBR) at the end of 2014. After that, he becomes an independent researcher. He is merited as the first associate editor outside USA and Germany for the open-access and open-peer-review journal, BioData Mining, in 2016. He is also on the editorial board of Applied Soft Computing since 2016. He was invited as the plenary speaker for ICBCB 2017. In addition, he has solely edited 2 books published by Springer and CRC Press, attracting 30 peer-reviewed book chapters around the world (i.e. Argentina, Australia, Belgium, Brazil, China, Egypt, France, Germany, Hong Kong, India, Japan, Spain, USA). In 2017, he has solely authored a journal paper about MotifHyades published on Bioinformatics (2016 Impact Factor = 7.307), demonstarating a solid example for his PhD students at CityU. Lastly, Ka-Chun explicitly showed his track records since the 2003 SARS outbreak below, encouraging all peer students under the Hong Kong education system to trust and embrace their dreams under diverse settings.


Award and Achievement

  • 2017 “General Research Fund” (56 out of 188 CS professors), RGC, Hong Kong.
  • 2016 “Early Career Scheme” (largest 2016 ECS in CS area), RGC, Hong Kong.
  • 2015 “Assistant Professorship” CS, Cty University of Hong Kong.
  • 2015 “Doctor of Philosophy” CS, University of Toronto.
  • 2013 “Acres - Joseph Yonan Memorial Fellowship” CS, University of Toronto.
  • 2012 “Kwok Sau Po Scholarship” SGS, University of Toronto.
  • 2012 “Acres - Joseph Yonan Memorial Fellowship” CS, University of Toronto.
  • 2011 “International PhD Funding Package” CCBR, University of Toronto.
  • 2010 “Provost Award” KAUST.
  • 2008 “RGC Postgraduate Studentship” The Chinese University of Hong Kong.
  • 2007 “Dean List” Engineering, The Chinese University of Hong Kong.
  • 2007 “Chiu Fuk San Prize” United College, The Chinese University of Hong Kong.
  • 2005 “Multiple Scholarships for HK A-level” Concordia Lutheran School.
  • 2004 “Championship ” Computer Game Concept Competition by Sha Tin IVE.
  • 2003 “Multiple Scholarships for HKCEE” Concordia Lutheran School.


Publication Show All Publications Show Prominent Publications


Journal

  • Qiuzhen, Lin. , Songbai, Liu. , Ka-Chun, Wong. , Carlos, Coello Coello. , Jianyong, Chen. & Jun, Zhang. (2018). A Clustering-based Evolutionary Algorithm for Manyobjective Optimization Problems. IEEE Transactions on Evolutionary Computation (Accepted).
  • Qiuzhen, Lin. , Genmiao, Jin. , Yueping, Ma. , Ka-Chun, Wong. , Carlos A., Coello Coello. , Jianqiang, Li. , Jianyong, Chen. & Jun, Zhang. (2018). A Diversity-Enhanced Resource Allocation Strategy for Decomposition-based Multiobjective Evolutionary Algorithm. IEEE Transactions on Cybernetics (Accepted).
  • Laizhong, Cui. , Genghui, Li. , Zexuan, Zhu. , Qiuzhen, Lin. , Ka-Chun, Wong. , Jianyong, Chen. , Nan, Lu. & Jian, Lu. (2018). Adaptive Multiple-Elites-Guided Composite Differential Evolution Algorithm with a Shift Mechanism. Information Sciences (Accepted).
  • Qiuzhen, Lin. , Yueping, Ma. , Jianyong, Chen. , Qingling, Zhu. , Carlos A., Coello Coello. , Ka-Chun, Wong. & Fei, Chen. (2018). An Adaptive Immune-inspired Multi-objective Algorithm with Multiple Differential Evolution Strategies. Information Sciences.
  • Wenjun, Wang. , Shaoqiang, Yang. , Qiuzhen, Lin. , Qingfu, Zhang. , Ka-Chun, Wong. , Coello Coello, Carlos. & Jianyong, Chen. (2018). An Effective Ensemble Framework for Multiobjective Optimization. IEEE Transactions on Evolutionary Computation (Accepted).
  • Qingling, Zhu. , Qiuzhen, Lin. , Weineng, Chen. , Ka-Chun, Wong. , A. Coello, Coello. , Jianyong, Chen. & Jun, Zhang. (2018). An External Archive-Guided Multi-objective Particle Swarm Optimization Algorithm. IEEE Transactions on Cybernetics (Accepted).
  • Xiangtao, Li. & Ka-Chun, Wong*. (*Corresponding Authership 2018). Elucidating Genome-Wide Protein-RNA Interactions using Differential Evolution. IEEE/ACM Transactions on Computational Biology and Bioinformatics.
  • Wei, Sun. , Yanquan, Zhang. , Ka-Chun, Wong. , Ken, Liu. , Yidong, Yang. , Bin, Wu. , Joanna, Tong. , Anthony, Chan. , Henry Lik-Yuen, Chan. & Jun, Yu*. (2018). Increased expression of GATA Zinc Finger Domain Containing 1 via gene amplification promotes liver cancer by directly inducing PRL3. Hepatology (2016 Impact Factor = 13.246).
  • Xiangtao, Li. & Ka-Chun, Wong*. (*Corresponding Authorship 2018). Multiobjective Patient Stratification using Evolutionary Multiobjective Optimization. IEEE Journal of Biomedical and Health Informatics (Accepted).
  • Jiao, Zhang. , Sam, Kwong. & Ka-Chun, Wong*. (*Corresponding Authorship 2018). ToBio: Global Pathway Similarity Search based on Topological and Biological Features. IEEE/ACM Transactions on Computational Biology and Bioinformatics (Accepted).
  • Xiangtao, Li. & Ka-Chun, Wong*. (*Corresponding Authorship 2017). A Comparative Study for Identifying the Chromosome-Wide Spatial Clusters from High-Throughput Chromatin Conformation Capture data. IEEE/ACM Transactions on Computational Biology and Bioinformatics (Accepted).
  • Laizhong, Cui. , Genghui, Li. , Zexuan, Zhu. , Qiuzhen, Lin. , Zhenkun, Wen. , Nan, Lu. , Ka-Chun, Wong. & Jianyong, Chen. (2017). A novel artificial bee colony algorithm with an adaptive population size for numerical function optimization. Information Sciences (2015 Impact Factor = 3.364). 414. 53 - 67. doi:10.1016/j.ins.2017.05.044
  • Shankai, Yan. & Ka-Chun, Wong. (*Corresponding Authorship 2017). Elucidating high-dimensional cancer hallmark annotation via enriched ontology. Journal of Biomedical Informatics (Accepted).
  • Xiangtao, Li. , Shijin, Ma. & Ka-Chun, Wong*. (*Corresponding Authorship 2017). Evolving Spatial Clusters of Genomic Regions from High-Throughput Chromatin Conformation Capture data. IEEE Transactions on NanoBioscience (Accepted).
  • Ka-Chun, Wong*. (*Sole Authorship 2017). MotifHyades: Expectation Maximization for de novo DNA Motif Pair Discovery on Paired Sequences. Bioinformatics (2016 Impact Factor = 7.307).
  • Jiao, Zhang. , Sam, Kwong. , Yuheng, Jia. & Ka-Chun, Wong*. (*Corresponding Authorship 2017). NSSRF: global network similarity search with subgraph signatures and its applications. Bioinformatics (2016 Impact Factor = 7.307).
  • Qiuzhen, Lin. , Songbai, Liu. , Chaoyu, Tang. , Ruizhen, Song. , Jianyong, Chen. , Carlos A., Coello Coello. , Ka-Chun, Wong. & Jun, Zhang. (2017). Particle Swarm Optimization with A Balanceable Fitness Estimation for Many-objective Optimization Problems. IEEE Transactions on Evolutionary Computation (Accepted).
  • Ka-Chun, Wong. , Chengbin, Peng. , Shankai, Yan. & Cheng, Liang. (2017). Probabilistic Inference on Multiple Normalized Genome-Wide Signal Profiles With Model Regularization. IEEE Transactions on NanoBioscience. Volume: 16 Issue: 1. 43 - 50. doi:10.1109/TNB.2016.2631406
  • Ka-Chun, Wong. , Yue, Li. & Chengbin, Peng. (2016). A Comparison Study for DNA Motif Modeling on Protein Binding Microarray. IEEE/ACM Transactions on Computational Biology and Bioinformatics. doi:10.1109/TCBB.2015.2443782
  • Ka-Chun, Wong*. , Peng, Chengbin. & Li, Yue. (*Corresponding Authorship 2016). Evolving Transcription Factor Binding Site Models From Protein Binding Microarray Data. IEEE Transactions on Cybernetics (2016 Impact Factor = 7.384). doi:10.1109/TCYB.2016.2519380
  • Ka-Chun, Wong*. , Yue, Li. & Chengbin, Peng. (*Corresponding Authorship 2016). Identification of Coupling DNA Motif Pairs on Long-Range Chromatin Interactions in Human K562 Cells. Bioinformatics (2016 Impact Factor = 7.307). doi:10.1093/bioinformatics/btv555
  • Ka-Chun, Wong*. , Yue, Li. , Chengbin, Peng. , Alan M., Moses. & Zhaolei, Zhang*. (*Co-Corresponding Authorship 2015). Computational Learning on Specificity-Determining Residue-Nucleotide Interactions. Nucleic Acids Research (2015 Impact Factor = 9.202). 43(21). 10180 - 10189.
  • Ka-Chun, Wong. , Chengbin, Peng. & Yue, Li. (2015). Probabilistic Inference on Multiple Normalized Signal Profiles from Next Generation Sequencing: Transcription Factor Binding Sites. IEEE/ACM Transactions on Computational Biology and Bioinformatics. doi:10.1109/TCBB.2015.2424421
  • Ka-Chun, Wong. , Yue, Li. , Chengbin, Peng. & Zhaolei, Zhang. (2015). SignalSpider: probabilistic pattern discovery on multiple normalized ChIP-Seq signal profiles. Bioinformatics (2015 Impact Factor = 5.766). 31 (1). 17 - 24. doi:10.1093/bioinformatics/btu604
  • Yue, Li. , Anna, Goldenberg. , Ka-Chun, Wong. & Zhaolei, Zhang. (2014). A probabilistic approach to explore human miRNA targetome by integrating miRNA-overexpression data and sequence information. Bioinformatics. 30 (5). 621 - 628. doi:10.1093/bioinformatics/btt599
  • Ka-Chun, Wong. , Chengbin, Peng. , Yue, Li. & Tak-Ming, Chan. (2014). Herd Clustering: A synergistic data clustering approach using collective intelligence. Applied Soft Computing (2014 Impact Factor = 2.810). 23. 61 - 75. doi:10.1016/j.asoc.2014.05.034
  • Yue, Li. , Liang, Cheng. , Ka-Chun, Wong. , Ke, Jin. & Zhaolei, Zhang. (2014). Inferring probabilistic miRNA-mRNA interaction signatures in cancers: a role-switch approach. Nucleic Acids Research. 42(9). e76 doi:10.1093/nar/gku182
  • Yue, Li. , Liang, Cheng. , Ka-Chun, Wong. , Jiawei, Luo. & Zhaolei, Zhang. (2014). Mirsynergy: detecting synergistic miRNA regulatory modules by overlapping neighbourhood expansion. Bioinformatics. 30 (18). 2627 - 2635. doi:10.1093/bioinformatics/btu373
  • Graham, Cromar. , Ka-Chun, Wong. , Noeleen, Loughran. , Tuan, On. , Hongyan, Song. , Xuejian, Xiong. , Zhaolei, Zhang. & John, Parkinson. (2014). New tricks for ‘old’ domains: How novel architectures and promiscuous hubs contributed to the organization and evolution of the ECM. Genome Biology and Evolution. 6. 2897 - 2917. doi:10.1093/gbe/evu228
  • Ka-Chun, Wong. & Zhaolei, Zhang. (2014). SNPdryad: Predicting Deleterious Non-synonymous human SNPs Using Only Orthologous Protein Sequences. Bioinformatics (2014 Impact Factor = 5). 30 (8). 1112 - 1119. doi:10.1093/bioinformatics/btt769
  • Ka-Chun, Wong. , Tak-Ming, Chan. , Chengbin, Peng. , Yue, Li. & Zhaolei, Zhang. (2013). DNA Motif Elucidation using Belief Propagation. Nucleic Acids Research (2013 Impact Factor = 9). 41 (16). e153 doi:10.1093/nar/gkt574
  • Yee, Leung. , Man-Hon, Wong. , Ka-Chun, Wong. , Wei, Zhang. & Kwong-Sak, Leung. (2012). A Novel Web-based System for Tropical Cyclone Analysis and Prediction. International Journal of Geographical Information Science. 26 (1). 75 - 97. doi:10.1080/13658816.2011.572075
  • Ka-Chun, Wong. , Chun-Ho, Wu. , Ricky K.P., Mok. , Chengbin, Peng. & Zhaolei, Zhang. (2012). Evolutionary multimodal optimization using the principle of locality. Information Sciences (2012 Impact Factor = 3.6). 194. 138 - 170. doi:10.1016/j.ins.2011.12.016
  • Tak-Ming, Chan. , Ka-Chun, Wong. , Kin-Hong, Lee. , Man-Hon, Wong. , Chi-Kong, Lau. , Stephen K.W., Tsui. & Kwong-Sak, Leung. (2011). Discovering approximate-associated sequence patterns for protein-DNA interactions. Bioinformatics. 27 (4). 471 - 478. doi:10.1093/bioinformatics/btq682
  • Ka-Chun, Wong. , Chengbin, Peng. , Man-Hon, Wong. & Kwong-Sak, Leung. (2011). Generalizing and learning protein-DNA binding sequence representations by an evolutionary algorithm. Soft Computing (2011 Impact Factor = 1.880). 15. 1631 - 1642. doi:10.1007/s00500-011-0692-5
  • Kwong-Sak, Leung. , Ka-Chun, Wong*. , Tak-Ming, Chan. , Man-Hon, Wong. , Kin-Hong, Lee. , Chi-Kong, Lau. & Stephen K.W., Tsui. (*Corresponding Authorship 2010). Discovering protein–DNA binding sequence patterns using association rule mining. Nucleic Acids Research (2010 Impact Factor = 8). 38. 6324 - 6337. doi:10.1093/nar/gkq500

Book

  • Ka-Chun, Wong. (2017). Big Data Analytics in Genomics. Springer (New York) [Content: 13 Peer-Reviewed Book Chapters with 46 Authors from Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, USA].
  • Ka-Chun, Wong. (2016). Computational Biology and Bioinformatics: Gene Regulation. CRC Press (Taylor & Francis Group) [Content: 17 Peer-Reviewed Book Chapters with 52 Authors from Australia, Belgium, Brazil, Egypt, Germany, Hong Kong, India, Japan, USA].


Openings

  • We always have positions available for graduate studies (PhD/MPhil) and postdoctoral fellows/scholars. Please send an email (with your CV and other supporting materials) to here if you are interested. Monthly stipend / salary is always provided for funded position. Hong Kong people do value cultural diversity. In the past 3 years (2015-2017), numerous PhD offers have already been given to students from Hong Kong, Mainland China, Parkistan, India, Canada, France, and UK. Applicants who do not need any finanical support and volunteers are also welcomed (reference letters could be provided if solid works are done). Please put down "Ka-Chun Wong" as your potential supervisor in your applications; otherwise, your applications may not reach us. Thank you for your interest.




Last update date : 18 Nov 2017