PhD Student / PostDoc Recruitment (Multiple Positions) for Applied Machine Learning; Applied Data Mining; Bioinformatics

@ City University of Hong Kong (We are recruiting NOW !!!)
(PhD admission deadline: December each year) Please put down "Ka-Chun Wong" as your potential supervisor in your applications; otherwise, your applications may not reach us.

Biography

Ka-Chun was born and raised in Hong Kong where he was lucky enough to be immersed in a multi-cultural environment. 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 to finish a PhD degree under the supervision of Professor ZHANG ZhaoLei in the Department of Computer Science at the University of Toronto. With exposures to different aspects (academic, industrial, spiritual ,and social), he hopes to strike a balance and contribute to the society.

News: Right after his PhD study, Ka-Chun has started his research lab as Assistant Professor in the Department of Computer Science, City University of Hong Kong (4th in QS World University Ranking aged under 50 and 14th in Times University Ranking aged under 50) in 2015. Interested applicants can contact him via email. Especially, PhD applicants are highly encouraged to apply for the Hong Kong PhD Fellowship Scheme (USD$ 2600 per month (tax free)). The scheme is real merit-based and does not have any preference toward nationality, which reflects the open humanity and freedom of Hong Kong. Here are some facts about Hong Kong:

• Average IQ: 108, according to Richard Lynn and Tatu Vanhanen .
• Human Deveopment Index (HDI) is 0.910 according to the United Nations in 2015.
• Students are consistently ranked among the top 3 with Finland and Shanghai according to the Programme for International Student Assessment (PISA) in 2012.
• The official language of teaching in universities is English, while Cantonese and British English are commonly used outside schools. It is pretty sure that students will find their studies challenging and enjoyable there.
• Drone Video About Hong Kong:

Research Interests

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

Research Publications

(*corresponding authorship, #co-first authorship)

[Book 2] Ka-Chun Wong: Big Data Analytics in Genomics. Springer (New York) 2017 (Content: 13 Peer-Reviewed Book Chapters with 46 Authors from Argentina, Brazil, China, France, Germany, Hong Kong, India, Japan, Spain, USA)
[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)

[J19] Ka-Chun Wong* MotifHyades: Expectation Maximization for de novo DNA Motif Pair Discovery on Paired Sequences Bioinformatics 2017
[J18]Jiao Zhang, Sam Kwong, Yuheng Jia, Ka-Chun Wong*: NSSRF: global network similarity search with subgraph signatures and its applications. Bioinformatics 2017
[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, 32(3): 321-324
[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 2015 Impact Factor = 9.202
[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
[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
[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
[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
[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
[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
[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.
[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
[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
[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
[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
[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
[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.
[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.
[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)

[C9]Junyi Chen, Shankai Yan, Ka-Chun Wong: Aggressivity Detection on Social Network Comments. ISMSI 2017
[C8]Yueming Lyu, Qingfu Zhang, Ka-Chun Wong: A Cone Order Sequence based Multi-objective Evolutionary Algorithm. IEEE CEC 2016
[C7] Ka-Chun Wong: A Short Survey on Data Clustering Algorithms. ISCMI 2015 Best Oral Presentation (1 out of 14 Presentations, Session 1)
[C6] Ka-Chun Wong: Data Analytics for Protein-DNA Binding Interactions. IEEE SMC 2015 Franklin V. Taylor Memorial Best Paper Award Nominee (5 out of 946 submissions)
[C5] Chengbin Peng, Zhihua Zhang, Ka-Chun Wong, Xiangliang Zhang, David Keyes: A Scalable Community Detection Algorithm for Large Graphs Using Stochastic Block Models. IJCAI 2015 (Acceptance rate: ~25%)
[C4] Chengbin Peng, Ka-Chun Wong, Alyn Rockwood, Xiangliang Zhang, Jinling Jiang, David E. Keyes: Multiplicative Algorithms for Constrained Non-negative Matrix Factorization. IEEE ICDM 2012 (Acceptance Rate: ~20%) DOI pdf
[C3] 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 DOI pdf ppt Source Codes
[C2] Ka-Chun Wong, Kwong-Sak Leung, Man-Hon Wong: Effect of Spatial Locality on an Evolutionary Algorithm for Multimodal Optimization. EvoApplications (1) 2010: 481-490 DOI pdf ppt
[C1] Ka-Chun Wong, Kwong-Sak Leung, Man-Hon Wong: An evolutionary algorithm with species-specific explosion for multimodal optimization. ACM GECCO 2009: 923-930 DOI pdf ppt

[W1] Chengbin Peng, Ka-Chun Wong: Exploring Mixed Membership Stochastic Blockmodels via Non-negative Matrix Factorization. IEEE ICDM 2014, IDP Workshop (Regular Paper Acceptance Rate: 26.3%)

Contact Information

NEW contact info

Email: kc.w@cityu.edu.hk

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