张世雄
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*************************************Call for Papers*****************************************
Special Issue: Advances of deep learning in cell biology (IF 7.666) Cells
Special Issue: Computational methods and biomedical application for single-cell omics data analysis (IF 2.080)
Shixiong Zhang (his academic family tree) spent 3 yeras to finish his Ph.D. Degree supervised by Dr. Ka-Chun Wong in Department of Computer Science at City University of Hong Kong from 2017 to 2020. His broad research interests include Bioinformatics, Computational Biology, Applied Machine Learning, Computational Intelligence, and Time Series Forecasting.
Publications
For more publications, you may check out on [ResearchGate] or [Google Scholar].
(*Corresponding authorship)
[7] Zhang S.*, Li X., Lin J., Lin Q., & Wong K. C. (2023) Review of single-cell RNA-seq data clustering for cell type identification and characterization. RNA. (PDF) [IF 2021 = 5.636]
[6] 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]
[5] Zhang S., Li
X., Lin Q., & Wong K. C.*. (2019) Nature-inspired
compressed sensing for transcriptomic profiling from random composite
measurement. IEEE Transactions on Cybernetics, 51(9), 4476-4487. [IF 2020 = 11.079]
[4] Zhang S., Li X., Lin Q., & 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]
[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]
[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]
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 Outstanding Master Thesis of Zhejiang Province, Zhejiang Province, China
2016 National Scholarship, Ministry of Education, China
Academic Service
Journal Editorial Board Memberships
Heliyon (Editorial Board) Cell Press
Cells (Topical Advisory Panel Member)
Conference Chairships
ISCMI 2023 Program Co-chair 2022 Publications Co-chair
ISMSI 2023 2022 Organizing Co-chair
Conference Program Committee Memberships
ICONIP 2022 (PC) 2021 (PC) 2020 (PC)
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
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
Bioinformatics
Computational Intelligence
Single-cell Omics Analysis
Data Science
