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  • 吴钢 ( 教授 )

    的个人主页 http://faculty.cumt.edu.cn/WG123/zh_CN/index.htm

  •   教授   博士生导师   硕士生导师
个人简介

吴钢,教授,博士,博士生导师,江苏省“333工程中青年科学技术带头人,江苏省青蓝工程中青年学术带头人。

主要研究方向数据科学中的大规模矩阵计算;数据挖掘与统计计算;大数据快速算法与理论;机器学习中的快速算法与优化;人工智能的数学理论与快速算法 

教育背景:19949-19987月就读于山东大学数学与系统科学学院计算数学及其应用软件专业,获理学学士学位;19989-20017月就读于大连理工大学应用数学系,获理学硕士学位;20019-20047月就读于复旦大学数学研究所,获理学博士学位。

招生专业

博士生招生专业:计算数学(招生方向:大规模科学与工程计算、数据科学中的大规模矩阵计算、数据挖掘与统计计算);应用数学(招生方向:大数据相关快速算法与理论)、运筹学与控制论(招生方向:机器学习中的快速算法与优化)

硕士生招生专业: 计算数学、统计学、应用数学、运筹学与控制论、人工智能(人工智能的数学理论与快速算法)

研究生院个人主页http://yjsxt.cumt.edu.cn/Gwork/Teacher/TeacherInfo.aspx?EID=LaosoqV95obwlF5b1lJ4MWcny1oCMgkH

联系方式:E-mailgangwu@cumt.edu.cn,  gangwu76@126.com        QQ:2545165275

通讯地址:江苏省徐州市中国矿业大学数学学院A309,邮政编码:221116


  一、主讲课程

研究生课程:数据分析与数据挖掘、机器学习、深度学习、统计学习方法、大规模科学计算方法、工程计算的新方法等;

本科生课程:统计计算、数据挖掘、矩阵计算(双语)、数值分析、矩阵分析等。


  二、科研项目

1. 主持江苏省自然科学基金面上项目:高维数据降维的不精确矩阵函数判别分析方法研究, No. BK201711852017.7-2020.6,已结题

2. 主持国家自然科学基金面上项目:复杂网络关键节点快速算法研究及其在蛋白质功能预测中的应用,No. 11371176, 2014.1-2017.12,已结题
 3.主持江苏省自然科学基金面上项目基于投影类技术的数据降维算法及其在图像处理中的应用,No. BK20131126, 2013.7-2016.6,已结题
4.主持国家自然科学基金项目(青年基金):PageRank问题的研究及其在基因芯片数据挖掘中的应用,No.109011322010.1-2012.12,已结题
 5.主持国家自然科学基金项目(数学天元青年基金): Google搜索引擎中网页等级问题的理论与快速算法研究,No.106260442007.1-2007.12,已结题

三、学术论著

在国际知名期刊SIAM Journal on Numerical AnalysisSIAM Journal on Scientific ComputingSIAM Journal on Matrix Analysis and ApplicationsIMA Journal of Numerical Analysis,  Pattern Recognition, Machine Learning, ACM Transactions on Information SystemsData Mining and Knowledge DiscoveryJournal of Scientific ComputingLinear Algebra and its Applications, Advances in Computational Mathematics, BIT Numerical Mathematics, Numerical Linear Algebra with Applications 等发表学术论文多篇。


部分代表性学术论著如下:

2021

1.Wenya Shi, Gang Wu, New algorithms for trace-ratio problem with application to high-dimension and large-sample data dimensionality reduction, Machine Learning, to appear, 2021.

2.Gang Wu, Fei Li. A randomized exponential canonical correlation analysis method for data analysis and dimensionality reduction, Applied Numerical Mathematics, 164: 101–124, 2021.

3.Azita Tajaddini , Gang Wu, Farid Saberi-Movahed, Najmeh Azizizadeh, Two new variants of the simpler block GMRES method with vector deflation and eigenvalue deflation for multiple linear systems, Journal of Scientific Computing, 86:9, 2021.

4.Ke Li, Gang Wu, A randomized generalized low rank approximations of matrices algorithm for high dimensionality reduction and image compression, Numerical Linear Algebra with Applications, e2338, 2021.

5.Jun Huang Gang Wu, Convergence of the fixed-point iteration for multilinear PageRankNumerical Linear Algebra with Applications, DOI: 10.1002/nla.2379, to appear, 2021.

6.Bo Feng, Gang Wu,Revisiting the low-rank eigenvalue problem, Applied Mathematics Letters, 112, 106706, 2021.

2020

1.Yingdi LuGangWu, Fast and incremental algorithms for exponential semi-supervised discriminant embedding, Pattern Recognition, 108, 107530, 2020.

2. Yunjie Wang, Gang Wu, New strategies for determining backward perturbation bound of approximate two-sided Krylov subspaces, Numerical Linear Algebra with Applications, 27, e2324, 2020.

3. Yunjie Wang, Gang Wu, On the Kahan-Parlett-Jiang theorem—A globally optimal backward perturbation error for two-sided invariant subspaces, Linear Algebra and its Applications, 602, 73--92, 2020.

4. Yunjie Wang, Gang Wu, Refined bounds on the number of distinct eigenvalues of a matrix after low-rank update, Linear and Multilinear Algebra,68: 903--914, 2020.

5. Wenya Shi, Youwei Luo, Gang Wu, On general matrix exponential discriminant analysis methods for high dimensionality reduction, Calcolo, 57:Article 18, 2020.

2019

Najmeh Azizi Zadeh, Azita Tajaddini, and Gang Wu, Weighted and deflated global GMRES algorithms for solving large Sylvester matrix equations, Numerical Algorithms, 82: 155-181, 2019.

2018

1. Gang Wu, Lu Zhang. New algorithms for approximating phi-functions and their condition numbers for large sparse matrices, IMA Journal of Numerical Analysis, 38: 11851208, 2018. 

2. Gang Wu, Hongkui Pang, Jiangli Sun. A Shifted Block FOM Algorithm with Deflated Restarting for Matrix Exponential Computations, Applied Numerical Mathematics, 127: 306–323, 2018.

2017

1.Gang Wu. The convergence of harmonic Ritz vectors and harmonic Ritz values, Revisited,  SIAM Journal on Matrix Analysis and Applications, 2017 , 38: 118--133. 

2.Gang Wu, Tingting Feng, Lijia Zhang, Meng Yang. Inexact implementation using Krylov subspace methods for large scale exponential discriminant analysis with applications to high dimensionality reduction problems, Pattern Recognition, 66: 328-341, 2017.

3.Gang Wu, Hongkui Pang. On the correction equation of the Jacobi-Davidson method, Linear Algebra and its Applications, 522: 51-70, 2017. 

4. Gang Wu, On the convergence of the minimally irreducible Markov chain method with applications to PageRank, Calcolo, 54:267–279, 2017.

2016

Gang Wu, Lu Zhang, Ting-ting Xu. A framework of the harmonic Arnoldi method for evaluating phi-functions with applications to exponential integrators, Advances in Computational Mathematics, 42: 505--541, 2016.

2015

1. Gang Wu, Wei Xu and Huan Leng. Inexact and incremental bilinear Lanczos components algorithms for high dimensionality reduction and image reconstruction, Pattern Recognition, 48: 244--263, 2015. 

2. Gang Wu, Ting-ting Feng, Yimin Wei. An inexact shift-and-invert Arnoldi algorithm for Toeplitz matrix exponential, Numerical Linear Algebra with Applications, 22: 777--792, 2015. 

3. Gang Wu, Ting-ting Feng. A theoretical contribution to the fast implementation of null linear discriminant analysis with random matrix multiplication, Numerical Linear Algebra with Applications, 22: 1180--1188, 2015.

4. Hong-xiu Zhong, Gang Wu, Guo-liang Chen, A flexible and adaptive simpler block GMRES with deflated restarting for linear systems with multiple right-hand sides, Journal of Computational and Applied Mathematics, 282 : 139-156, 2015.

2014

 Gang Wu, Lu Zhang, On expansion of search subspaces for large non-Hermitian eigenproblem, Linear Algebra and its Applications, 454: 107--129, 2014. 

2013

1. Gang Wu, Wei Xu, Ying Zhang and Yimin Wei, A preconditioned conjugate gradient algorithm for GeneRank with application to microarray data mining, Data Mining and Knowledge Discovery, 26: 27--56, 2013. 

2. Gang Wu, Ying Zhang and Yimin Wei, Accelerating the Arnoldi-type algorithm for the PageRank problem and the ProteinRank problem. Journal of Scientific Computing, 57: 74--104, 2013. 

3. Gang Wu, Yimin Wei, Zhigang Jia, Sitao Ling and Lu Zhang, Towards backward error bounds for approximate dual Krylov subspaces, BIT Numerical Mathematics, 53: 225–239, 2013.

2012

1. Gang Wu, Yanchun Wang and Xiaoqing Jin, A preconditioned and shifted GMRES algorithm for the PageRank problem with multiple damping factors, SIAM Journal on Scientific Computing, 34: A2558--A2575, 2012.

2.Qing Yu, Zhengke Miao, Gang Wu and Yimin Wei, Lumping algorithms for computing Google's PageRank and its derivative, with attention to unreferenced nodes, Information Retrieval, 15: 503–526, 2012.

3. Gang Wu, Yimin Wei, Relationship between the characteristic polynomial and the spectrum of a diagonalizable matrix and those of its low-rank update, Linear and Multiple Linear Algebra, 60: 967--978, 2012.

2011

Hong-xiu Zhong, Gang Wu, Thick restarting the weighted harmonic Arnoldi algorithm for large interior eigenproblems, International Journal of Computer Mathematics, 88: 994–1012, 2011.

2010

1. Gang Wu, Yimin Wei. On analysis of projection methods for rational function approximation to the matrix exponential, SIAM Journal on Numerical Analysis, 48: 191--197, 2010. 

2. Gang Wu, Yimin Wei, Arnoldi versus GMRES for computing PageRank: A theoretical contribution to Google’s PageRank Problem. ACM Transactions on Information Systems,  28, Article 11: 1--28, 2010. 

3. Gang Wu, Ying Zhang, Yimin Wei, Krylov subspace algorithms for computing GeneRank for the analysis of microarray data mining. Journal of Computational Biology, 17: 631--646, 2010. 

4. Wei Jiang, Gang Wu, A thick-restarted block Arnoldi algorithm with modified Ritz vectors for large eigenproblems, Computers & Mathematics with Applications, 60: 873--889, 2010.

2008

Gang Wu, Yimin Wei, Comments on Jordan canonical form of the Google matrix. SIAM Journal on Matrix Analysis and Applications, 30: 364--374, 2008. 

2007

Gang Wu, Yimin Wei, A Power-Arnoldi algorithm for computing PageRank. Numerical Linear Algebra with Applications, 14: 521--546, 2007. 

2006

Gang Wu, A dynamic thick restarted semi-refined ABLE algorithm for computing a few selected eigentriplets of large nonsymmetric matrices. Linear Algebra and its Applications, 416: 313--335, 2006. 

  

四、我的团队(目前在读学生):

博士生:郭永燕、顾颖; 丰博;李珂;

硕士生:李顺昌、王秋茹、李艳艳、张宇;黄俊、常乔、杨文;庞文娆、杨佳丽




教育经历
  • [1]. 复旦大学       博士研究生毕业
  • [2]. 大连理工大学       计算数学       硕士学位
  • [3]. 山东大学       计算数学       学士学位      1994-1998
工作经历
  • [1]. 2004.8 -- 至今 数学学院
社会兼职
    [1].

    江苏省计算数学学会副理事长

其他联系方式
  • 通讯/办公地址 :
  • 邮箱 :
团队名称:
数据挖掘与机器学习

团队介绍:博士生: 郭永燕、顾颖;丰博;李珂
硕士生:李顺昌、王秋茹、李艳艳、张宇;黄俊、常乔、杨文;庞文娆、杨佳丽

团队名称:
已毕业学生

团队介绍:博士:时文雅(常州大学 阿里云大数据学院)、王云杰 (江苏师范大学 科文学院)

硕士:郭永燕(硕博连读)、丰博(硕博连读)、彭可可(上海市浦发银行)、刘静(南京银行总行)、景圆倩(苏州银行);江宇同(中国建设银行徐州分行)、李斐(上海市浦发银行)、李珂(硕博连读)、王健健(昆山开发区兵希小学);陆迎弟(江苏省运河中学);冯亭亭(华东师大读博,现任职于杭州电子科技大学)、许婷婷(江苏大学靖江学院);田娟娟、张立家、袁枚;张露(澳门大学读博,现任职于徐州工程学院)、冷欢;王艳春、孙江丽;张凤勋、王建、刘文杰;仲红秀(华东师大读博,现任职于江南大学)、于庆、姜薇

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