Qiang Ye

Orcid: 0000-0002-8357-221X

Affiliations:
  • University of Kentucky, Department of Mathematics, Lexington, KY, USA
  • University of Manitoba, Department of Mathematics, Winnipeg, MB, Canada


According to our database1, Qiang Ye authored at least 45 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Improving Deep Neural Networks' Training for Image Classification With Nonlinear Conjugate Gradient-Style Adaptive Momentum.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

Breaking Time Invariance: Assorted-Time Normalization for RNNs.
Neural Process. Lett., April, 2024

2023
Do We Need a New Foundation to Use Deep Learning to Monitor Weld Penetration?
IEEE Robotics Autom. Lett., June, 2023

Novel Molecular Representations Using Neumann-Cayley Orthogonal Gated Recurrent Unit.
J. Chem. Inf. Model., May, 2023

Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum.
J. Sci. Comput., April, 2023

Symmetry-structured convolutional neural networks.
Neural Comput. Appl., February, 2023

SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
Batch Normalization Preconditioning for Neural Network Training.
J. Mach. Learn. Res., 2022

Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation.
CoRR, 2022

AUTM flow: atomic unrestricted time machine for monotonic normalizing flows.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021
A robust deep learning approach for automatic classification of seizures against non-seizures.
Biomed. Signal Process. Control., 2021

Adaptive Weighted Discriminator for Training Generative Adversarial Networks.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Preconditioning for accurate solutions of ill-conditioned linear systems.
Numer. Linear Algebra Appl., 2020

Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum.
CoRR, 2020

Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
On regularization for a convolutional kernel in neural networks.
CoRR, 2019

Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Accurate inverses for computing eigenvalues of extremely ill-conditioned matrices and differential operators.
Math. Comput., 2018

A Robust Deep Learning Approach for Automatic Seizure Detection.
CoRR, 2018

Orthogonal Recurrent Neural Networks with Scaled Cayley Transform.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Error Bounds for the Krylov Subspace Methods for Computations of Matrix Exponentials.
SIAM J. Matrix Anal. Appl., 2017

2014
Relative Perturbation Theory for Diagonally Dominant Matrices.
SIAM J. Matrix Anal. Appl., 2014

A New Perturbation Bound for the LDU Factorization of Diagonally Dominant Matrices.
SIAM J. Matrix Anal. Appl., 2014

2013
Error Bounds for the Lanczos Methods for Approximating Matrix Exponentials.
SIAM J. Numer. Anal., 2013

Computing exponentials of essentially non-negative matrices entrywise to high relative accuracy.
Math. Comput., 2013

2010
A block inverse-free preconditioned Krylov subspace method for symmetric generalized eigenvalue problems.
J. Comput. Appl. Math., 2010

2009
Relative Perturbation Bounds for Eigenvalues of Symmetric Positive Definite Diagonally Dominant Matrices.
SIAM J. Matrix Anal. Appl., 2009

2008
Entrywise relative perturbation bounds for exponentials of essentially non-negative matrices.
Numerische Mathematik, 2008

A generalized LSQR algorithm.
Numer. Linear Algebra Appl., 2008

Computing singular values of diagonally dominant matrices to high relative accuracy.
Math. Comput., 2008

2006
An iterated shift-and-invert Arnoldi algorithm for quadratic matrix eigenvalue problems.
Appl. Math. Comput., 2006

2005
Algorithm 845: EIGIFP: a MATLAB program for solving large symmetric generalized eigenvalue problems.
ACM Trans. Math. Softw., 2005

Breakdown-free GMRES for Singular Systems.
SIAM J. Matrix Anal. Appl., 2005

2003
A Krylov Subspace Method for Quadratic Matrix Polynomials with Application to Constrained Least Squares Problems.
SIAM J. Matrix Anal. Appl., 2003

2002
An Inverse Free Preconditioned Krylov Subspace Method for Symmetric Generalized Eigenvalue Problems.
SIAM J. Sci. Comput., 2002

Entrywise perturbation theory for diagonally dominant M-matrices with applications.
Numerische Mathematik, 2002

Accurate computation of the smallest eigenvalue of a diagonally dominant M-matrix.
Math. Comput., 2002

2001
Perturbation Theory for the Asymptotic Decay Rates in the Queues with Markovian Arrival Process and/or Markovian Service Process - Correction.
Queueing Syst. Theory Appl., 2001

2000
Perturbation Theory for the Asymptotic Decay Rates in the Queues with Markovian Arrival Process and/or Markovian Service Process.
Queueing Syst. Theory Appl., 2000

Analysis of the finite precision bi-conjugate gradient algorithm for nonsymmetric linear systems.
Math. Comput., 2000

1999
Error bound for reduced system model by Pade approximation via the Lanczos process.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1999

Inexact Preconditioned Conjugate Gradient Method with Inner-Outer Iteration.
SIAM J. Sci. Comput., 1999

ABLE: An Adaptive Block Lanczos Method for Non-Hermitian Eigenvalue Problems.
SIAM J. Matrix Anal. Appl., 1999

1996
An adaptive block Lanczos algorithm.
Numer. Algorithms, 1996

A linear system solver based on a modified Krylov subspace method for breakdown recovery.
Numer. Algorithms, 1996


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