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    张世雄

    • 副教授
    • 性别:男
    • 毕业院校:City University of Hong Kong
    • 在职信息:在岗
    • 所在单位:计算机科学与技术学院

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    个人简介:

    [Personal Homepage] (for more information)

    Shixiong Zhang (his academic family treereceived his Ph.D. Degree in Department of Computer Science at City University of Hong Kong  in 2020 under the supervision of Dr. Ka-Chun Wong. His broad research interests include Bioinformatics, Computational Intelligence, and Applied Machine Learning.

    =======================News!!=============================

    Granted by National Nature Science Foundation of China (NSFC Youth Fund) 2021.

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    Publications

    For more publications, you may check it out on my [ResearchGate] or [Google Scholar].

    (*Corresponding  authorship)

    [12] Zhang S., Li X., Lin Q., Lin J., & Wong K. C.*. (2020) Uncovering the key dimensions of high-throughput biomolecular data using deep learning. Nucleic Acids Research, 48(10), e56, 2020. [IF 2020 = 16.971] Top

    [11] Lin, J., Zhang, Z., Zhang, S., Chen, J., & Wong, K. C. (2020). CRISPR-Net: a recurrent convolutional network quantifies CRISPR off-target activities with mismatches and indels. Advanced Science, 7(13), 1903562. [IF 2020 = 16.806] Top

    [10] Li X., Zhang S., & Wong K. C.*. (2020) Multiobjective genome-wide RNA-binding event identification from CLIP-seq data. IEEE Transactions on Cybernetics. [IF 2020 = 11.448] Top CCF A 

    [9] Li X., Zhang, S., & Wong K. C.*. (2020) Evolving transcriptomic profiles from single-cell RNA-Seq data using nature-inspired multiobjective optimization. IEEE/ACM Transactions on Computational Biology and Bioinformatics. [IF 2020 = 3.71] CCF B

    [8] Zhang S., Li X., Lin Q., Lin J., & Wong K. C.*. (2019) Nature-inspired compressed sensing for transcriptomic profiling from random composite measurement. IEEE Transactions on Cybernetics. [IF 2020 = 11.079] Top CCF A

    [7] Zhang S., Li X., Lin Q., Lin J., & Wong K. C.*. (2019) Synergizing CRISPR/Cas9 off-target predictions for ensemble insights and practical applications. Bioinformatics. 35 (7), 1108-1115. [IF 2019 = 5.610] Top CCF B

    [6] Li X., Zhang, S., & Wong K. C.*. (2019) Single-cell RNA-seq interpretations using evolutionary multiobjective ensemble pruning. Bioinformatics, 35(16), 2809-2817. [IF 2019 = 5.610] Top CCF B

    [5] Wong K. C.*, Chen J., Zhang J., Lin J., Yan S., Zhang S., Li X., Liang C., Peng C., Lin Q., Kwong S., Yu J. (2019) Early cancer detection from multianalyte blood test results. iScience, 15, 332-341. [IF 2019 = 4.447]

    [4] Li X., Zhang, S., & Wong K. C.*. (2018) Nature-inspired multiobjective epistasis elucidation from genome-wide association studies. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 17(1), 226-237. [IF 2018 = 2.896] CCF B

    [3] Zhang W., Zhang S., & Zhang S. * (2018). Two-factor high-order fuzzy-trend fts model based on BSO-FCM and improved KA for TAIEX stock forecasting. Nonlinear Dynamics, 94(2), 1429-1446. [IF 2018 = 4.604]

    [2] Zhang W., Zhang S., Zhang S.*, Yu D., & Huang, N. (2018). A novel method based on FTS with both GA-FCM and multifactor BPNN for stock forecasting. Soft Computing, 23 (16), 6979-6994. [IF 2018 = 2.784] CCF C

    [1] Zhang W.*, Zhang S., Zhang S., Yu D., & Huang, N. (2017). A multi-factor and high-order stock forecast model based on type-2 FTS using cuckoo search and self-adaptive harmony search. Neurocomputing, 240, 13-24. [IF 2017 = 3.241] CCF C

    Scholarships and Awards

    2020  Outstanding Academic Performance Award, City University of Hong Kong

    2019  Research Tuition Scholarship, City University of Hong Kong

    2019  Outstanding Academic Performance Award, City University of Hong Kong

    2018  Research Tuition Scholarship, City University of Hong Kong

    2018  Outstanding Academic Performance Award, City University of Hong Kong

    2017  Postgraduate Studentship (Ph.D. Funding from HK Government 2017-2020), City University of Hong Kong

    2017  Excellent Master’s Thesis of Zhejiang Province, Zhejiang Province, China

    2016  National Scholarship, Ministry of Education, China



    教育经历

    2010.9 -- 2014.6
    Zhejiang University of Finance & Economics        Information Management and Information System       B.Sc.

    2014.9 -- 2017.3
    Zhejiang University of Finance & Economics        Management Statistics       M.Sc.

    2017.9 -- 2020.8
    City University of Hong Kong       Computer Science       Ph.D

    工作经历

    2019.11 -- 2020.4

    Johns Hopkins University      School of Medicine      Research Trainee

    2020.12 -- 至今

    Xidian University      School of Computer Science and Technology      Associate Professor      On Duty

    研究方向

  • Bioinformatics

  • Computational Intelligence

  • Single-cell Omics Analysis

  • Data Science

  • Financial Time Series Forecasting