Curriculum Vitae

Name Jiang Zhang (张江)(to wiki link)
Address School of Systems Science, Beijing Normal University,100875
Nationality People's Republic of China
Organization School of Systems Science, Beijing Normal University
Email jakezj#163.com

Work Experience

2017.7~present Professor, School of Systems Science, Beijing Normal University. Teaching "Artificial Intelligence" and "Data Driven Artificial Intelligence" for graduate students and "Thinking in complexity" and "Matlab¡" for college students.
2012.7~2017.7 Associate Professor, School of Systems Science, Beijing Normal University. Teaching "Artificial Intelligence" for graduate students and "Thinking in complexity" and "Matlab¡" for college students.
2008.6~2012.7 Assistant Professor, Department of Systems Science, School of Management, Beijing Normal University.
2006.4~2008.4 Post doctoral research in complex systems research center, Academy of Mathematics and Systems Science, China Academy of Sciences.

Visit Experience

2010.10~present Visited Santa Fe Institute for several times, Santa Fe, New Mexico, U.S.(Record of experience)
2014.12~2015.2 Visited Arizona State University, Tempe, U.S.
2011.9~2011.10 Visited Fribourg University, Fribourg, Switzerland.
2007.7~2007.8 Visited Center for Study Complex Systems, University of Michigan, U.S.

Projects

2016.12~2017.6 Project “Elementary School Textbook for UBTech Robots STEM”, supported by UBTech company, 1,000,000 RMB
2017.1~2020.12 Project: “Research on collective attention flows on the WWW”, supported by National Natural Science Foundation of China, the Grant No. is 61673070, 610,000 RMB
2015.9~2017.9 Project "The structure, evolution, and applications of open flow networks", Beijing Normal University Project
2014.1~2016.12 Project “Allometric Growth of Complex Networks” supported by Beijing Higher Education Young Elite Teacher Project (http://www.bjedu.gov.cn) under the Grant No.YETP0291, 150,000 RMB
2011.1~2013.12 Project "Research on Allometric Scaling of Weighted Food Webs" supported by National Natural Science Foundation of China, the Grant No. is 61004107, 210,000 RMB

Awards

2008 First-class award in Contest of Basic Skills of Teaching for Young Faculty, Beijing Normal University
2006 C Xu Guo Zhi post-doctoral fellowship in Institute of Systems Science

main publications

Lifei Wang et al.: "An interpretable deep-learning architecture of capsule networks for identifying cell-type gene expression programs from single-cell RNA-sequencing data; Nature Machine Intelligence, 2: 693703(2020)
这篇文章开发了一种可解释的胶囊网络深度学习架构(scCapsNet),在此基础上,使用多个scRNA-seq数据集评估scCapsNet为单细胞转录组分析指定的值。利用二维主成分分析(PCA)对特征提取层内权值参数进行分析。通过竞争性单细胞类型识别,scCapsNet模型能够进行特征选择来识别编码不同亚细胞类型的基因组,使亚细胞型识别成为可能的RNA表达特征被有效地集成到scCapsNet的参数矩阵中。这一特性使基因调控模块的发现成为可能。
Zhang, Z., Zhao, Y., Liu, J. et al. A general deep learning framework for network reconstruction and dynamics learning. Appl Netw Sci 4, 110 (2019).
这篇文章提出了一套全新的网络和动力学重构的算法。即仅根据时间序列数据,就能够重构整个原始的相互作用网络以及每个节点的动力学,这相当于对原系统进行了自动建模。该算法不仅在精确度上远超其它对比算法,而且可以广泛地适用于各类系统。于2019年发表在Applied Network Science上。相关的论文解读资料可以查看超越简单规则——用图神经网络对复杂系统进行自动建模
Li, R., Dong, L., Zhang, J., Wang, X., Wang, W. X., & Di, Z & Stanley, H. E. (2017). "Simple spatial scaling rules behind complex cities". Nature Communications, 8(1), 1841.
相关的论文解读资料可以查看张江:从规模理论,看城市的生长、创新与奇点。 这篇文章不仅回答了宏观规模标度律的起源,而且可以精准预测人口、GDP、道路网络等城市要素的空间分布情况。于2017年发表在Nature Communications上
Jiang Zhang, Xintong Li, Xinran Wang, Wenxu Wang, Lingfei Wu: Scaling behaviours in the growth of networked systems and their geometric origins, Scientific Reports 2015, 5: 9767.
这篇文章主要提出了一种几何网络模型,该模型可以很好地对社会经济系统中的缩放行为进行解释。于2017年发表在Scientific Reports上。
Shi P, Zhang J, Yang B, et al. Hierarchicality of trade flow networks reveals complexity of products[J]. PloS one, 2014, 9(6).
这篇文章通过计算贸易流网络的规模标度律从而利用规模标度律指数刻画不同产品的复杂性程度,即价值生产附加情况。另一方面,给每个国家针对某一产品的国际贸易网计算出其对其它国家整体的影响力。于2014年发表在PLOS ONE上。
Jiang Zhang, Tongkui Yu, Allometric Scaling of Countries, Physica A 389 (2010) 4887-4896 (SCI,EI)
这篇文章该文主要研究了国家的大量宏观属性与地理(区域),人口(人口)和经济(GDP,国内生产总值)大小之间的异度缩放比例关系。于2010年发表在Physica A上。

Email

jakezj#163.com

Research Group

bnusss.github.io

Address

School of Systems Science
Beijing Normal University, 100875
Beijing, China