BIMSA > Congwei Song
Assistant Professor Congwei Song

Group: Artificial Intelligence and Machine Learning

Office: A3-3-308

Email: william@bimsa.cn

Research Field: AI

Webpage: https://github.com/Freakwill

Biography

Congwei Song received the master degree in applied mathematics from the Institute of Science in Zhejiang University of Technology, and the Ph.D. degree in basic mathematics from the Department of Mathematics, Zhejiang University, worked in Zhijiang College of Zhejiang University of Technology as an assistant from 2014 to 2021, from 2021 on, worked in BIMSA as asistant researcher. His research interests include machine learning, as well as wavelet analysis and harmonic analysis.

Research Interest

  • Machine Learning

Education Experience

  • 2011 - 2014      Zhejiang University      Basic Math      Doctor
  • 2008 - 2011      Zhejiang University of Technology      Applied Math      Master
  • 2004 - 2008      Ningbo University      Math and Applied Math      Bachelor

Work Experience

  • 2021 -      BIMSA      Assistant Professor
  • 2014 - 2021      Zhejiang University of Technology      Instructor

Publication

  • [1] Congwei Song, Pyrimidine: An algebra-inspired Programming framework for evolutionary algorithms, Journal of Open Source Software (2025)
  • [2] Congwei Song, The General Theory of Localization Methods (2026)
  • [3] 宋丛威, 统计学习入门, 清华大学出版社 (2026)
  • [4] 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)
  • [5] 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, 12(9), 2094-2105 (2022)
  • [6] Zhiwen Tu, Congwei Song, Xianan Qin, 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)
  • [7] Tu Z, Song C, Qin X.. A Numerical Method on Resolving Finite Mixtures of Three-Dimensional Inter-site Distance Distributions Measured by Single-molecule Localization Microscopy, Microscopy (Oxf), 2022.
  • [8] Xianan Qin, Congwei Song, Towards understanding the non-Gaussian pore size distributions of nonwoven fabrics, Physica A: Statistical Mechanics and its Applications, 581(2022), S0378437121004891
  • [9] 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)
  • [10] 宋丛威., Ell: 序列空间上运算的实现及其应用, 电脑编程技巧与维护杂志社, (), -, 2021(2021)
  • [11] 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)
  • [12] Congwei Song, To Describe or Construct Statistical Learning Models Using the Category-theoretical Language

 

Update Time: 2026-03-11 11:00:08