BIMSA > Xiao Ming John Zhang
Professor Xiao Ming John Zhang

Group: Artificial Intelligence and Machine Learning

Office: A3-1-303

Email: zhangxiaoming@bimsa.cn

Research Field: Big Data, AI

Biography

Dr. Zhang Xiaoming received his bachelor's, master's, and doctor's degrees from Zhejiang University, Peking University, and Massachusetts Institute of Technology. He is currently a professor at the Beijing Institute of Mathematical Sciences and Applications, responsible for the artificial intelligence and big data research team. Dr. Zhang has long been engaged in the research, development, and application of artificial intelligence technologies to big data prediction and resource optimization and allocations problems. He presided over the development of digital intelligence service platform "printing and dyeing brain", which was well recognized in the industry. At present, his work focuses on the mathematical problems in developing industrial digital twins.

Research Interest

  • Research and development of machine learning neural network algorithms driven by both data and existing domain knowledge. The algorithms can be applied to the construction of real-time, efficient, accurate, and stable digital twins for industrial internet.

Education Experience

  • 1991 - 1993      Massachusetts Institute of Technology      Mechanical Engineering      Doctor
  • 1989 - 1991      Massachusetts Institute of Technology      Physical Oceanography      Master
  • 1987 - 1989      University of Michigan      Computational Mathematics      Master
  • 1982 - 1984      Peking University      Computational Fluid Dynamics      Master
  • 1978 - 1982      Zhejiang University      Fluid Dynamics      Bachelor

Work Experience

  • 2020 -      BIMSA      Professor
  • 2019 - 2020      Zhejiang University of Technology      Part-time Professor
  • 2017 - 2020      Center for Big Data Research, Zhejiang China Light Textile City Group Co., Ltd.      Director
  • 2015 - 2020      Institute of Data Sciences, Tsinghua University      Rong Research Fellow
  • 2012 - 2017      Hangzhou Shuneng Scitech Corp.      Chief Technology Officer
  • 2010 - 2015      East China Normal University      Visiting Professor
  • 2004 - 2011      Systems Analytics      Founder, President
  • 2001 - 2004      Delta Search Labs      Vice President of Engineering
  • 2000 - 2001      Sparkice E-commerce Corp.      Vice President of Technology
  • 1997 - 2000      Aerodyne Research Inc.      Principal Engineer
  • 1995 - 1996      BlazeTech Corporation      Senior Engineer
  • 1993 - 1995      Earth Technology Corp.      Consulting Engineer
  • 1985 - 1987      Institute of Oceanology, CAS      Assistant Research Fellow

Honors and Awards

  •      As a Principal Investigator, he won and presided over 20 research projects funded and awarded by governments and major corporations.
  •      Frequent invited keynote speakers at various conferences
  •      Third place in the Second China Industrial Internet Competition
  •      Second place in the First China Industrial Internet Competition
  •      First place in the Alibaba Qianlima Industrial Big Data Competition      Twice
  •      First place in the Micro Array Quality Control (MAQC) competition hosted by the US Food and Drug Administration
  •      National Specially-appointed Expert

Publication

  • [1] Miao He, and Xiaoming Zhang, Affinity, value homophily, and opinion dynamics: The coevolution between affinity and opinion, PLoS ONE, 18(2023), 11, e0294757
  • [2] Yuzhong Hu, Xiaoming Zhang and Yiming Zhang , Mathematical Modelling of the Asymmetric Polarization Pattern in U.S. Congress, Social Networks (2023)
  • [3] Xiaoming Zhang and Ping Zhang , An Integrated Mathematical Framework for Opinion Dynamics, submitted to PLOS ONE (2023)
  • [4] Xiaoming Zhang, Yuzhong Hu and Yiming Zhang, The Strength of National Social Norm Determines the Polarization Pattern in U.S. Congress, submitted to PLOS ONE (2023)
  • [5] Xianan Qin, Yuqing Zeng, and Xiaoming Zhang, A constant-law model for the filtering rate of nonwoven fabrics, JOURNAL OF THE TEXTILE INSTITUTE, 114(2022), 11, 1-4
  • [6] 张萍，张晓明, 特定贸易关系变化下中国出口竞争力变化, 全国流通经济, 2022(29), 12-17 (2022)
  • [7] 宋丛威，张晓明, 基于PyMC的线性混合模型及其在印染工业上的应用, 电脑与信息技术, (), -, 2022(2022)
  • [8] Zhiwen Tu, Congwei Song, Xianan Qin and Zhang, Xiaoming John. Improving the Prfomance of Industrial Dyeing Recipe Models by Taking Logtransform in the Data Pre-processing, 2022 International Symposium on Design Studies and Intelligence Engineering (DSIE2022), 2022.
  • [9] 宋丛威, 张晓明. 基于非负矩阵分解的全球贸易缺失数据填补, 计算机科学与应用, 2022, 12(9):2094-2105
  • [10] 宋丛威，张晓明, 增量Bayes线性回归算法的构造与工业应用, (), -, 2021(2021)
  • [11] Xianan Qin, and Xiaoming Zhang, An industrial dyeing recipe recommendation system for textile fabrics based on data-mining and modular architecture design, IEEE Access, 9(2021), 136105-136110
  • [12] 宋丛威, 张晓明, 基于对称百分误差的线性回归及其在印染工业上的应用, 智能计算机与应用, (), -, 2021(2021)
  • [13] SEQC/MAQC-III Consortium, A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium, Nature Biotechnology, 9(2014), 32, 903-914
  • [14] Metabolic profiling in Caenorhabditis elegans provides an unbiased approach to investigations of dosage dependent lead toxicity, Metabolomics, 2012, 9(1): 189-201
  • [15] Consistency of predictive signature genes and classifiers generated using different microarray platforms, The Pharmacogenomics Journal (2010) 10, 247–257
  • [16] MAQC Consortium, The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models, Nature Biotechnology, 28(2010), 8, 827-840
  • [17] Assessing sources of inconsistencies in genotypes and their effects on genome-wide association studies with HapMap samples, The Pharmacogenomics Journal, 2010, 10, 364–374
  • [18] A comparison of batch effect removal methods for enhancement of prediction performance using MAQC-II microarray gene expression data, The Pharmacogenomics Journal, 2010, 10(4): 278-291
  • [19] Genomic indicators in the blood predict drug-induced liver injury, The Pharmacogenomics Journal, 2010, 4 (10): 267-277
  • [20] 张晓明, 俞晓东；标准化染料信息管理系统，2022-5-20，中国，ZL 2019 1 0765840.X（发明专利）
  • [21] 张晓明，施燕倩 ; 一种印染设计及生产过程基本诊断系统、设备及方法, 2021-11-26, 中国, ZL 2019 1 0764868.1 (发明专利)
  • [22] 张晓明; 一种印染工业互联网平台、设备及系统, 2021-11-05, 中国, ZL 20191 0764885.5 (发明专利)
  • [23] 张晓明，谢伟刚 ; 一种投票信息处理方法、装置及系统, 2016-6-22, 中国, ZL 2013 1 0216867.6（发明专利）

 

Update Time: 2025-03-28 01:57:08