Shixiong ZHANG

Personal Information

City University of Hong Kong Associate professor

Personal Profile

[Personal Homepage] (for more information)

Shixiong Zhang is an Associate Professor in the School of Computer Science and Technology at Xidian University, starting from December 2020. He spent three years (2017-2020) obtaining his Ph.D. in Computer Science under the mentorship of Dr. Ka-Chun Wong from the City University of Hong Kong. He was previously a research trainee in the Lab of Prof. Jiang Qian at the Johns Hopkins University School of Medicine. His broad research interests include bioinformatics, computational biology, machine learning, and computational intelligence.

E-mail: zhangsx AT xidian.edu.cn

Selected Publications

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

(* Corresponding authorship)

[11] Risheng Lu, Shixiong Zhang*, & Lin Gao*. (2025) Disentangling the over-integration of single-cell and spatial multiomics data with transfer learning, Big Data Mining and Analytics, DOI:10.26599/BDMA.2025.9020112. [IF 2025 = 6.2] [CCF-T1]

[10] Zeyu Yan, Yifei Yao, Xuanbing Wen, Shixiong Zhang*, Juli Zhang*, & Kai Fan*. (2025) LADSG: Label-anonymized distillation and similar gradient substitution for label privacy in vertical federated learning, International Conference on Collaborative Computing: Networking, Applications and Worksharing (EAI CollaborateCom 2025). [CCF-C]

[9] Zhenglong Cheng, Risheng Lu, & Shixiong Zhang*. (2025) scMGCL: accurate and efficient integration representation of single-cell multiomics data, Bioinformatics, 41(7), btaf392. [PDF] [IF 2025 = 5.4][CCF-A]

[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]