Yuan Zhu

I earned my Ph.D. in Mathematics from Sun Yat-sen University in 2012. Following my doctoral studies, I began my academic career as an Assistant Professor at the School of Mathematics and Statistics, Guangdong University of Finance and Economics, in July 2012. From August 2014 to August 2015, I pursued postdoctoral research in the Department of Electronic Engineering at City University of Hong Kong under the supervisor of Professor Yan Hong, an IEEE Fellow. In September 2015, I joined the School of Automation at China University of Geosciences, where I was promoted to Associate Professor in 2016. Most recently, in January 2024, I transitioned to the School of Mathematics and Physics at China University of Geosciences to further advance my academic and research pursuits. My research focuses on statistical pattern recognition, medical image analysis, biomolecular network modeling, and bioinformatics. I am passionate about leveraging interdisciplinary approaches to address complex scientific challenges. As a Principal Investigator, I have successfully led and completed six provincial and ministerial-level projects, including a General Program grant from the National Natural Science Foundation of China. My research contributions include over 40 publications indexed by EI or SCI. I am eager to embrace new opportunities for learning and collaboration, aiming to broaden my research scope and further refine my scientific expertise.

• Cell heterogeneity analysis based on spatial pattern of gene-gene interaction relationship, General Program of the National Natural Science Foundation of China, No. 12371506, 2024.01 – 2027.12, Funding: 435,000 RMB (PI)
• Multi-scale statistical modeling and analysis of single-cell data, Tianyuan Visiting Scholars Fund of the National Natural Science Foundation of China, Collaborating Supervisor: Professor Minghua Deng (Peking University), No. 12126367, 2022.01-2022.12, Funding: 100,000 RMB. (PI)
• Modeling and dynamic analysis of multimodal depression brain imaging omics data, Open Fund of the Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence, Ministry of Education, No. 2018SHZDZX01, 2021.01-2022.12, Funding: 30,000 RMB. (PI)
• Application of graph wavelets and sparse probabilistic graphical models in reconstructing high-precision protein networks , Youth Program of the National Natural Science Foundation of China, No. 11401110, 2015.01-2017.12, Funding: 220,000 RMB. (PI)
• Dynamic protein-protein interaction network modeling and applications based on sparse probabilistic graphical models and multi-source data fusion, General Program of the Natural Science Foundation of Hubei Province, No. 2016CFB481, 2017.01-2018.12, Funding: 30,000 RMB. (PI)
• Sparse graphical models for high-dimensional fusion data and their application in protein-protein interaction network reconstruction, Natural Science Research Project of Guangdong Provincial Universities, No. 2013KJCX0086, 2013.01-2015.12, Funding: 60,000 RMB. (PI)

• Haishu Ma, Yuan Zhu# and et al., Preoperative prediction of microvascular invasion in hepatocellular carcinoma from multi-sequence magnetic resonance imaging based on deep fusion representation learning, IEEE Journal of Biomedical and Health Informatics, doi: 10.1109/JBHI.2024.3451331, 2024.
• Yuan Zhu#, Feng Zhang and et al. Predicting latent lncRNA and cancer metastatic event associations via variational graph auto-encoder, Methods, 211: 1-9, 2023.
• Yuan Zhu#, Minghua Deng, Ming Yi, and et al., Discovery of pan-cancer related genes via integrative network analysis. Briefings in Functional Genomics, DOI: 10.1093/bfgp/elac012, 21(4): 325-338, 2022.
• Hui-Sheng Li, Le Ou-Yang, Yuan Zhu, Hong Yan, Xiao-Fei Zhang, scDEA: Differential Expression Analysis in Single-cell RNA-sequencing Data via Ensemble Learning. Briefings in Bioinformatics, 23(1): bbab402, 2022.
• Jia-Juan Tu, Le Ou-Yang, Yuan Zhu, …, Xiao-Fei Zhang and et.al., Differential network analysis by simultaneously considering changes in gene interactions and gene expression. Bioinformatics, 37(23): 4414-4423, 2021.
• Yuan Zhu#, Jiufeng Zhou, Hong Yan, A unified formulation of a class of graph matching technique, Pattern Recognition, 95: 223-234, 2019.
• X. T. Huang, Yuan Zhu*#, Inference of cellular level signaling networks using single-cell gene expression data in C.elegans reveals mechanisms of cell fate specification, Bioinformatics, 33(10): 1528-1535, 2017.