教师主页移动版

主页 > 陕西省 > 西安电子科技大学

张世雄

姓名 张世雄
性别
学校 西安电子科技大学
部门 计算机科学与技术学院
学位 所在单位:计算机科学与技术学院
学历 在职信息:在岗
职称 副教授
联系方式 实用新型1875包写包过
邮箱 软件测试报告2199包写包过
   
集群智慧云企服 / 知识产权申请大平台
微信客服在线:543646
急速申请 包写包过 办事快、准、稳
软件产品登记测试
软件著作权666元代写全部资料
实用新型专利1875代写全部资料

个人简介:Personal Profile [Personal Homepage] (for more information)[Academic family tree]Shixiong Zhang is an Associate Professor in the School of Computer Science and Technology at Xidian University started from Dec. 2020. He spent 3 yeras (2017-2020) to obtain his Ph.D. in Computer Science under the mentorship of Dr. Ka-Chun Wong at City University of Hong Kong. He was previously a trainee in the Lab of Prof. Jiang Qian in the School of Medicine at Johns Hopkins University. His broad research interests includs bioinformatics, computational biology, machine learning, computational intelligence, and time series forecasting. E-mail: zhangsx AT xidian.edu.cnSelected PublicationsFor more publications, you may check out on [ResearchGate] or [Google Scholar].(# Corresponding  authorship)[8] Meng Lan, Shixiong Zhang#, & Lin Gao#. (2023) Efficient generation of paired single-cell multiomics profiles by deep learning. Advanced Science, 10(21), 2301169. [PDF] [IF 2021 = 17.521][7] Shixiong Zhang#, Xiangtao Li, Jiecong Lin, Qiuzhen Lin, Ka-Chun Wong. (2023) Review of single-cell RNA-seq data clustering for cell type identification and characterization. RNA, 29(5), 517-530. [PDF] [IF 2021 = 5.636][6] Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Jiecong Lin, Ka-Chun Wong#. (2020) Uncovering the key dimensions of high-throughput biomolecular data using deep learning. Nucleic Acids Research, 48(10), e56, 2020. [PDF] [IF 2020 = 16.971][5] Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong#. (2019) Nature-inspired compressed sensing for transcriptomic profiling from random composite measurement. IEEE Transactions on Cybernetics, 51(9), 4476-4487. [PDF] [IF 2020 = 11.079][4] Shixiong Zhang, Xiangtao Li, Qiuzhen Lin, Ka-Chun Wong#. (2019) Synergizing CRISPR/Cas9 off-target predictions for ensemble insights and practical applications. Bioinformatics. 35 (7), 1108-1115. [PDF] [IF 2019 = 5.610][3] Wenyu Zhang (Supervisor), Shixiong Zhang, Shuai Zhang# (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. [PDF] [IF 2018 = 4.604][2] Wenyu Zhang (Supervisor), Shixiong Zhang, Shuai Zhang#, Dejian Yu, Ningning Huang. (2018). A novel method based on FTS with both GA-FCM and multifactor BPNN for stock forecasting. Soft Computing, 23 (16), 6979-6994. [PDF] [IF 2018 = 2.784][1] Wenyu Zhang# (Supervisor), Shixiong Zhang, Shuai Zhang, Dejian Yu, Ningning Huang. (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. [PDF] [IF 2017 = 3.241]Scholarships and AwardsResearch Tuition Scholarship (2018, 2019), City University of Hong KongOutstanding Academic Performance Award (2018, 2019, 2020), City University of Hong KongOutstanding Master's Dissertation Award of Zhejiang Province (2017)National Scholarship (2016)Academic Service                         Journal Editorial Board MembershipsHeliyon (Associate Editor)Cells (Topical Advisory Panel Member)Journal Guest EditorshipsCells (Guest Editor)Mathematical Biosciences and Engineering (Leading Guest Editor)Conference ChairshipsIEEE ICCCS 2022 Session ChairISCMI 2023 Program Co-chair 2022 Publications Co-chairISMSI 2023 2022 Organizing Co-chairConference Program Committee MembershipsICIC 2022 (PC) 2021 (PC)                                                    ICBRA 2022 (TC) 2021 (TC)                        ICONIP 2022 (PC) 2021 (PC) 2020 (PC)

张世雄