简要介绍：Xing-Ming Zhao received his Ph.D. degree from the University of Science and Technology of China in 2005. Currently, he is a professor at the Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University. His research focuses on data mining and bioinformatics. He has published more than 70 journal papers, and is a senior member of IEEE, co-chair of IEEE SMC Technical Committee on Systems Biology and ACM SIGBio China. He is also the lead guest editor and editor member of several journals, e.g. IEEE/ACM TCBB and Neurocomputing.
研究领域
\"Artificial Intelligence Data Mining \"""
近期论文
Zhang et al. (2018). Joint Learning of Multiple Differential Networks with Latent Variables. IEEE Transactions on Cybernetics, in press.Qin et al. (2017). PhosD: inferring kinase–substrate interactions based on protein domains. Bioinformatics, 33(8), 1197–1204.Zhao et al. (2017). HISP: a hybrid intelligent approach for identifying directed signaling pathways. Journal of Molecular Cell Biology, 9(6), 453–462.
