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NAME：Huangjinzhi

Degree：Doctor of Philosophy

Organization：School of Mathematical Sciences

Email：jzhuang21@suda.edu.cn

Office Location：Vigtang 213

Tel：

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Biography

  • Organization：School of Mathematical Sciences
  • Tel：
  • Gender：female
  • Email：jzhuang21@suda.edu.cn
  • Post：
  • Office Location：Vigtang 213
  • Graduate School：Tsinghua University
  • Address：No. 1, Shizi St., Gusu Dist., Suzhou, Jiangsu Prov.
  • Degree：Doctor of Philosophy
  • PostCode：215006
  • Academic Credentials：
  • Fax：

Education

Education：

B.S.: Sept. 2011 - Jul. 2015

Tsinghua University, Beijing, China 

Department of Mathematical Sciences

Major in Computational Mathematics


Ph.D.: Sept. 2015 - July 2020

Tsinghua University, Beijing, China

Department of Mathematical Sciences

Major in Computational Mathematics

Supervisor: Prof. Zhongxiao Jia

Professional Experiences

Work Experience：

Aug. 2020 - May 2021: Research Associate

Tsinghua University, Beijing, China

Department of Mathematical Sciences 

Advisor: Prof. Zhongxiao Jia


May 2021 - Jun. 2024: Lecturer

Soochow University, Suzhou, Jiangsu Province, China

School of Mathematical Sciences


Jul. 2024 - Present: Associate Professor

Soochow University, Suzhou, Jiangsu Province, China

School of Mathematical Sciences

Overview

Resume：

Professional Service

Social Position：

Research

Research Field：

Research interests:

Numerical Linear Algebra, Scientific Computation

 

Teaching

Open Course：

Projects

Research Project：

Publications

Thesis：

  1. Jinzhi Huang and Zhongxiao Jia, On inner iterations of Jacobi-Davidson type methods for large SVD computations, SIAM J. Sci. Comput., 41  (2019), pp. A1574--A1603.

  2. Jinzhi Huang and Zhongxiao Jia, On choices of formulations of computing the generalized singular value decomposition of a matrix pair, Numer. Algor., 87 (2021), pp. 689–718. 

  3. Jinzhi Huang and Zhongxiao Jia, Two harmonic Jacobi–Davidson methods for computing a partial generalized singular value decomposition of a large matrix pair, Journal of Scientific Computing, 93 (41) (2022), 29 pages.

  4. Jinzhi Huang and Zhongxiao Jia, A cross-product free Jacobi–Davidson type method for computing a partial generalized singular value decomposition of a large matrix pair, Journal of Scientific Computing, 94 (3) (2023), 32 pages.

  5. Jinzhi Huang and Zhongxiao Jia, A skew-symmetric Lanczos bidiagonalization method for computing several extremal eigenpairs of large skew-symmetric matrix,  SIAM Journal on Matrix Analysis and Applications, 45 (2) (2024), pp. 1114--1147.

  6. Jinzhi Huang and Zhongxiao Jia, Refined and refined harmonic Jacobi–Davidson methods for computing several GSVD components of a large regular matrix pair, Numerical Algorithms, (2024), 26 pages.

Books&Patents

Books Writings： Patents Patent：

Honors

Honor Reward：

Supervision

Enrollment：