赵兴明(教授)
研究方向："Artificial Intelligence Data Mining "
电子邮箱：xmzhao@fudan.edu.cn
个人网站：http://comp-sysbio.org/



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.
代表成果：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.