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Huaian Diao
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  • Huaian Diao

    Professor,
    School of Mathematics

    Jilin University
    E-mail: 
    diao @ jlu.edu.cn                                Office: Math Building 524 


    Short Vita

    • School of Mathematics, Jilin University

      • Professor, 2021--

    • School of Mathematics and Statistics, Northeast University

      • Associate Professor, 2008--2021.

      • Assistant Professor, 2007--2008.

    • Department of Mathematics, Purdue University

      • Visiting Scholar, 2013--2014.

    • Department of Mathematics, City University of Hong Kong.

      • Ph.D. in Mathematics, 2004--2007.

    • Institute of Mathematics, Fudan University.

      • M.Sc. in Computational Mathematics, 2001--2004.


    Teaching

    • Spring 2022: Modern Optimization

    • Spring 2022: Linear Algebra


    Research Interests

    Spectral Theory, Wave Scattering, Inverse Problems, Numerical Algebra, Randomized Algorithms.


    Selected Publications (Search for my publications and citations at Google Scholar)

    1. Z. Bai, H. Diao*, H. Liu and Q. Meng, Stable determination of an elastic medium scatterer by a single far-field measurement and beyond, Calc. Var. PDE, 61(2022), 170, 23pp.  

    2. H. Diao, H. Liu, and L. Wang, Further results on generalized Holmgren’s principle to the Lamé operator and applications, J. Differential Equations, 309 (2022), 841–882.  

    3. Q. Meng, Z. Bai, H. Diao* and H. Liu, Effective medium theory for embedded obstacles in elasticity with applications to inverse problems, SIAM J. Appl. Math., 82 (2022), No. 2, 720–749.   

    4. X. Cao, H. Diao, H. Liu and J. Zou, Two single-measurement uniqueness results for inverse scattering problems within polyhedral geometries, Inverse Problems and Imaging, doi: 10.3934/ipi.2022023, 2022.  

    5. H. Diao*, H. Liu, and B. Sun, On a local geometric structure of generalized elastic transmission eigenfunctions and application, Inverse Problems, 37 (2021), 105015 (36pp).  

    6. X. Cao, H. Diao*, H. Liu and J. Zou, On novel geometric structures of Laplacian eigenfunctions in R3 and applications to inverse problems, SIAM Journal on Mathematics Analysis, 53(2021), no. 2, 1263–1294.   

    7. H. Diao, H. Liu, L. Zhang and J. Zou, Unique continuation from a generalized impedance edge-corner for Maxwell’s system and applications to inverse problems, Inverse Problems, 37 (2021) 035004.   

    8. Q. Meng, H. Diao*, and Z. Bai, Condition numbers for the truncated total least squares problem and their estimations, Numer. Linear Algebra Appl., e2369, 2021.

    9. H. Diao, X. Cao and H. Liu, On the geometric structures of conductive transmission eigenfunctions and their application,Communications in Partial Differential Equations, 46 (2021), no. 4, 630-679. 

    10. X. Cao, H. Diao*, H. Liu and J. Zou, On nodal and generalized singular structures of Laplacian eigenfunctions and applications, Journal de Mathématiques Pures et Appliquées, 143(2020), 116-161. 

    11. H. Diao*, H. Liu and L. Wang, On generalized Holmgren’s principle to the Lamé operator with applications to inverse elastic problems, Calculus of Variations and Partial Differential Equations, 59(2020), 179, 50pp.

    12. Q. Meng, H. Diao* and Q. Yu, Structured condition number for multi-right hands linear systems with parameterized quasiseparable coefficient matrix, Journal of Computational and Applied Mathematics, 368(2020), 112527.   

    13. H. Diao, Z. Song, David P. Woodruff, and X. Yang, Total least squares regression in input sparsity time, Advances in Neural Information Processing Systems 32 (NeurIPS 2019), pages 2478-2489. Curran Associates, Inc., 2019.   

    14. H. Diao, R. Jayaram, Z. Song, W. Sun, and David P. Woodruff, Optimal sketching for Kronecker product regression and low rank approximation, Advances in Neural Information Processing Systems 32 (NeurIPS 2019), pages 4739-4750. Curran Associates, Inc., 2019.   

    15. H. Diao* and Q. Meng, Structured generalized eigenvalue condition numbers for parameterized quasiseparable matrices, BIT, 59(2019), 695-720.   

    16. H. Diao, P. Li and X. Yuan, Inverse elastic surface scattering with far-field data, Inverse Problems and Imaging, 13(2019), 721–744.   

    17. H. Diao* and Y. Sun. Mixed and componentwise condition numbers for a linear function of the solution of the total least squares problem, Linear Algebra and its Applications, 544(2018), 1-29.

    18. H. Diao*, Condition numbers for a linear function of the solution of the linear least squares problem with equality constraints,Journal of Computational and Applied Mathematics, 344 (2018), 640- 656.  

    19. H. Diao* and J. Zhao, On structured componentwise condition numbers for Hamiltonian eigenvalue problems, Journal of Computational and Applied Mathematics, 335(2018), 74-85. 

    20. H. Diao*, Y. Wei, and P. Xie. Small sample statistical condition estimation for the total least squares problem, Numer. Algor.,75(2017), no. 2, 435-455. 

    21. H. Diao, L. Liang and S. Qiao, A condition analysis of the weighted linear least squares problem using dual norms, Linear and Multilinear Algebra., 66(2018), no. 6, 1085-1103.  

    22. H. Diao, X. Shi and Y. Wei, Effective condition numbers and small sample statistical condition estimation for the generalized Sylvester equation, Sci. China Math., 56 (2013), no. 5, 967-982.  

    23. H. Diao, W. Wang, Y. Wei and S. Qiao, On condition numbers for Moore-Penrose inverse and linear least squares problem involving Kronecker products, Numer. Linear Algebra Appl., 20 (2013), no. 1, 44-59. 

    24. H. Diao, H. Xiang and Y. Wei, Mixed, componentwise condition numbers and small sample statistical condition estimation of Sylvester equations, Numer. Linear Algebra Appl., 19 (2012), no. 4, 639-654. 

    25. H. Diao*, On componentwise condition numbers for eigenvalue eproblems with structured matrices, Numer. Linear Algebra Appl., 16 (2009), 87-107.  

    26. H. Diao and Y. Wei, On Frobenius normwise condition numbers for Moore-Penrose inverse and linear least squares problems, Numer. Linear Algebra Appl., 14(2007), 603-610.   

    27. F. Cucker and H. Diao, Mixed and componentwise condition numbers for rectangular structured matrices, Calcolo, 44(2007), 89-115.   

    28. F. Cucker, H. Diao and Y. Wei, On mixed and componentwise condition numbers for Moore-Penrose inverse and linear least squares problems, Math. Comp., 76 (2007), 947-963.   

    29. F. Cucker, H.Diao and Y. Wei, Smoothed analysis of some condition numbers, Numerical Linear Algebra with Applications, 13 (2006), 71-84.       

    30. H. Diao, Y. Wei and S. Qiao, Displacement rank of the Drazin inverse, J. Comput. Appl. Math., 167 (2004), no. 1, 147-161.


    Research Grants

    • PI, Startup Fund, Jilin University, 2017--2018.

    • PI, 2412017FZ007, Northeast Normal University, 2017--2018. 

    • PI, 11001045, National Natural and Science Foundation of China, 2011--2013.

    • PI, 10926107, National Natural and Science Foundation of China, 2010--2010. 

    • PI, 20090043120008, Ministry of Education, 2010--2012. 

    • PI, NENU-STC08009, Northeast Normal University, 2016--2019. 

    • Co-PI, 12161160314, National Natural and Science Foundation of China, 2022--2025. 

    Graduate Students

    • Qingle Meng, MPhil in Mathematics, NENU, 06/2018. First job: PhD Student, Mathematics, Xiamen University.

    • Li Wang, MPhil in Mathematics, NENU, 06/2021. First job: PhD Student, Mathematics, City University of Hong Kong.

    • Xiaoxu Fei, MPhil in Mathematics, NENU, 06/2022. First job: PhD Student, Mathematics, Central South University.


     


Personal information
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Professor

Academic Titles : 美国数学会评论员、中国仿真学会不确定系统分析与仿真专业委员会委员、 吉林省工业与应用数学学会第四届理事会理事

Gender : Male

Education Level : Doctor graduate

Degree : 博士

Status : Employed

School/Department : 数学学院

Discipline : 计算数学

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