YE,   QIANG

EDUCATION

• B.Sc., University of Science and Technology of China, Hefei, China, 1983
  
  
• M.Sc, Chinese Academy of Sciences, Beijing, China, 1986
  
  
• Ph.D., University of Calgary, Calgary, Canada, 1989
  
  

POSITIONS HELD

• Professor/Associate Professor,  2000 - present
  Department of Mathematics , University of Kentucky, Lexington, KY
  
  
• Director of Graduate Studies,  2008 - 2011
  Department of Mathematics , University of Kentucky, Lexington, KY
  
  
• Associate/Assistant Professor, 1992-2000
  Department of Mathematics, University of Manitoba, Winnipeg, Canada.
  
  

RESEARCH INTEREST

• Deep Learning, Numerical Analysis.
  
  

GRANTS and AWARDS

• University Research Professor, University of Kentucky, 2016.
  
  
• Ralph E. and Norma L. Edwards Research Professor,  2010 - 2013
  Department of Mathematics , University of Kentucky .
  
  
• Marcel F. Neuts Prize for best paper in Stochastic Models, 2005
  
  
• NSF Grant IIS-2327113 (2023-2026)
  
  
• NSF Grant DMS-2208314 (2022-2025)
  
  
• NSF Grant DMS-1821144 (2018-2022)
  
  
• NSF Grant DMS-1620082 (2016-2020)
  
  
• NSF Grant DMS-1318633 (2013-2017)
  
  
• NSF Grant DMS-1317424 (2013-2017)
  
  
• NSF Grant DMS-0915062 (2009-2013)
  
  
• NSF Grant DMS-0411502 (2004-2008)
  
  
• NSF Grant CCR-0098133 (2001-2005)
  
  
• NSERC Research Grants, (1992 - 1995, 1995 - 1999, 1999 - 2003)
  
  
• NSERC Equipment Grants, (1994 - 1995, 2000-2001)
  
  

Ph.D. STUDENTS

• Leonard Hoffnung, 2004
  Thesis: Subspace Projection Methods for the Quadratic Eigenvalue Problem
  
  
• Patrick Quillen, 2005
  Thesis: Generalizations of an Inverse Free Krylov Subspace Method for the Symmetric Generalized Eigenvalue Problem
  
  
• Ping Zhang, 2009
  Thesis: Iterative Methods for Computing Eigenvalues and Exponentials of Large Matrices
  
  
• Weifeng Zhi, 2011
  Thesis: Spectral analysis of nonlinear dimensionality reduction methods
  
  
• Megan Dailey, 2013
  Thesis: Relative Perturbation Theory for Diagonally Dominant Matrices
  
  
• Qiao Liang, 2015
  Thesis: Singular Value Computation and Subspace Clustering
  
  
• Hao Wang, 2015
  Thesis: The Krylov Subspace Methods for the Computation of Matrix Exponentials
  
  
• Devin Willmott, 2018
  Thesis: Recurrent Neural Netwoks and Their Applications to RNA Secondary Structure Inference
  
  
• Kasey Bray, 2019
  Thesis: On the Role of Ill-conditioning: Biharmonic Eigenvalue Problem and Multigrid Algorithms
  
  
• Kyle Helfrich, 2020
  Thesis: Orthogonal Recurrent Neural Networks and Batch Normalization in Deep Neural Networks.
  
  
• K.D.Gayan Maduranga, 2020
  Thesis: Unitary and Symmetric Structure in Deep Neural Networks.
  
  
• Susanna Lange, 2022
  Thesis: Batch Normalization Preconditioning for Neural Network Training.
  
  
• Vasily Zadorozhnyy, 2023
  Thesis: Novel Architectures and Optimization Algorithms for Training Neural Networks and Applications.
  
  
• Cole Pospisil, 2023
  Thesis: Normalization Techniques for Sequential and Graphical Data.
  
  
• Edison Mucllari,
  
  

PROFESSIONAL SERVICES

• Editorial board, Electronic Transactions on Numerical Analysis 2016 - present.
  
  
• Editorial board, Numerical Algebra, Control and Optimization, 2010 - 2017; 2021-present.
  
  
• Associate Editor, SIAM Journal on Matrix Analysis and Applications, 2004 - 2013.
  
  
• Associate Editor, Journal of Computational and Applied Mathematics 2003 - 2011.
  
  
• Program Committees, Association for the Advancement of Artificial Intelligence Conference on Artificial Intelligence, 2017, 2018, 2021,2022.
  
  
• Scientific Advisory Committees, The International Conference on Matrix Analytic Methods in Stochastic Models, 2002, 2005, 2008, 2011.
  
  
• Scientific Program Committee, Tools for solving structured Markov chains, Pisa, Italy, October 2006.
  
  
• Canadian Applied Mathematics Society Ph.D. Dissertation Award Committee, 1996.