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] 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
  • [2] 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.
  • [3] 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)
  • [4] 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.
  • [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, 2022, 12(9):2094-2105
  • [6] 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)
  • [7] 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)
  • [8] 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)
  • [9] 宋丛威. 格半模上的Lebesgue控制收敛定理, 数学的实践与认识, 2020.（Lebesgue’s Dominated Convergence Theorem on Lattice-Ordered Semimodules）
  • [10] 宋丛威. 基于朴素Bayes组合的简易集成分类器, 计算机系统应⽤, 2020.(An Simply Constructed Ensemble Classifier Based on Naive Bayes Combination)
  • [11] 宋丛威. ⽤OwlReady2实现智能机器⼈对话系统, 电脑编程技巧与维护, 2020.
  • [12] 宋丛威. 基于Pyparsing的LaTeX数学表达式解析, 电脑编程技巧与维护, 2019, 407(05):6-8+18.
  • [13] 宋丛威, 张晓明. 基于PCA的解⼤型超定线性⽅程组快速算法及应⽤, 智能计算机与应⽤, 2019, 9(4). (A fast algorithm of solving large-scale over-determined linear equations based on PCA and the application)
  • [14] 江瑜, 宋丛威. ⼀种简单神经Mealy机的构造, 数学的实践与认识, 2017, 47(12):225-233. (The Structure of a Simple Neural Mealy Machine)
  • [15] Congwei Song, None, None(2017)
  • [16] Song, C.. 模空间上的多线性乘⼦估计, 数学学报, 2015, 58(1):107-114. (Estimates of Multilinear Multipliers on Modulation Spaces)
  • [17] C. Song. Unimodular Fourier Multipliers with a Time Parameter on Modulation Spaces, Journal of Inequalities and Applications, 2014
  • [18] C. Song. Gabor frames and multilinear multipliers on modulation spaces, Nonlinear Functional Analysis and Application, 2013,
  • [19] C. Song. A New Class of Spaces and the Application in the Hormander Multipliers, International Journal of Mathematical Analysis, 2013，
  • [20] C. Song. Oscillatory Integrals and Edge Analysis of the Continuous Shearlet Transform, Sampling Theory in Signal and Information Processing, 2013,
  • [21] 宋丛威, 邸继征. Shearlet框架的构造和图像处理, 计算数学, 2011:199-212. (The Constructure of Shearlet Frame and Image Processing)
  • [22] 宋丛威, 邸继征. 恒等逼近与连续⼩波变换的点态逼近, 浙江⼯业⼤学学报, 2011, 39(6):107-112. (Approximate identities and the pointwise approximation of continuous wavelet transform)
  • [23] Shou H, Jiang Y, Song C, et al. Pythagorean Element on UFD and PH Curve. Springer Berlin Heidelberg, 2011.
  • [24] Congwei Song, Pyrimidine: An algebra-inspired Programming framework for evolutionary algorithms, submitted to Journal of Open Source Software
  • [25] Congwei Song, To Describe or Construct Statistical Learning Models Using the Category-theoretical Language

 

Update Time: 2024-09-12 17:18:01