A linear system solver based on a modified Krylov subspace method for breakdown recovery. - Charles H. Tong; Qiang Ye 003 (Numer. Algorithms, 1996)

An adaptive block Lanczos algorithm. - Qiang Ye 003 (Numer. Algorithms, 1996)

ABLE: An Adaptive Block Lanczos Method for Non-Hermitian Eigenvalue Problems. - Zhaojun Bai; David Day; Qiang Ye 003 (SIAM J. Matrix Anal. Appl., 1999)

Inexact Preconditioned Conjugate Gradient Method with Inner-Outer Iteration. - Gene H. Golub; Qiang Ye 003 (SIAM J. Sci. Comput., 1999)

Error bound for reduced system model by Pade approximation via the Lanczos process. - Zhaojun Bai; Rodney D. Slone; William T. Smith; Qiang Ye 003 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 1999)

Analysis of the finite precision bi-conjugate gradient algorithm for nonsymmetric linear systems. - Charles H. Tong; Qiang Ye 003 (Math. Comput., 2000)

Perturbation Theory for the Asymptotic Decay Rates in the Queues with Markovian Arrival Process and/or Markovian Service Process. - Attahiru Sule Alfa; Jungong Xue; Qiang Ye 003 (Queueing Syst. Theory Appl., 2000)

Perturbation Theory for the Asymptotic Decay Rates in the Queues with Markovian Arrival Process and/or Markovian Service Process - Correction. - Attahiru Sule Alfa; Jungong Xue; Qiang Ye 003 (Queueing Syst. Theory Appl., 2001)

Accurate computation of the smallest eigenvalue of a diagonally dominant M-matrix. - Attahiru Sule Alfa; Jungong Xue; Qiang Ye 003 (Math. Comput., 2002)

Entrywise perturbation theory for diagonally dominant M-matrices with applications. - Attahiru Sule Alfa; Jungong Xue; Qiang Ye 003 (Numerische Mathematik, 2002)

An Inverse Free Preconditioned Krylov Subspace Method for Symmetric Generalized Eigenvalue Problems. - Gene H. Golub; Qiang Ye 003 (SIAM J. Sci. Comput., 2002)

A Krylov Subspace Method for Quadratic Matrix Polynomials with Application to Constrained Least Squares Problems. - Ren-Cang Li; Qiang Ye 003 (SIAM J. Matrix Anal. Appl., 2003)

Breakdown-free GMRES for Singular Systems. - Lothar Reichel; Qiang Ye 003 (SIAM J. Matrix Anal. Appl., 2005)

Algorithm 845: EIGIFP: a MATLAB program for solving large symmetric generalized eigenvalue problems. - James H. Money; Qiang Ye 003 (ACM Trans. Math. Softw., 2005)

An iterated shift-and-invert Arnoldi algorithm for quadratic matrix eigenvalue problems. - Qiang Ye 003 (Appl. Math. Comput., 2006)

Computing singular values of diagonally dominant matrices to high relative accuracy. - Qiang Ye 003 (Math. Comput., 2008)

A generalized LSQR algorithm. - Lothar Reichel; Qiang Ye 003 (Numer. Linear Algebra Appl., 2008)

Entrywise relative perturbation bounds for exponentials of essentially non-negative matrices. - Jungong Xue; Qiang Ye 003 (Numerische Mathematik, 2008)

Relative Perturbation Bounds for Eigenvalues of Symmetric Positive Definite Diagonally Dominant Matrices. - Qiang Ye 003 (SIAM J. Matrix Anal. Appl., 2009)

A block inverse-free preconditioned Krylov subspace method for symmetric generalized eigenvalue problems. - Patrick Quillen; Qiang Ye 003 (J. Comput. Appl. Math., 2010)

Computing exponentials of essentially non-negative matrices entrywise to high relative accuracy. - Jungong Xue; Qiang Ye 003 (Math. Comput., 2013)

Error Bounds for the Lanczos Methods for Approximating Matrix Exponentials. - Qiang Ye 003 (SIAM J. Numer. Anal., 2013)

A New Perturbation Bound for the LDU Factorization of Diagonally Dominant Matrices. - Megan Dailey; Froilán M. Dopico; Qiang Ye 003 (SIAM J. Matrix Anal. Appl., 2014)

Relative Perturbation Theory for Diagonally Dominant Matrices. - Megan Dailey; Froilán M. Dopico; Qiang Ye 003 (SIAM J. Matrix Anal. Appl., 2014)

Error Bounds for the Krylov Subspace Methods for Computations of Matrix Exponentials. - Hao Wang; Qiang Ye 003 (SIAM J. Matrix Anal. Appl., 2017)

Orthogonal Recurrent Neural Networks with Scaled Cayley Transform. - Kyle Helfrich; Devin Willmott; Qiang Ye 003 (ICML, 2018)

A Robust Deep Learning Approach for Automatic Seizure Detection. - Xinghua Yao; Xiaojin Li; Qiang Ye 003; Yan Huang 034; Qiang Cheng 001; Guoqiang Zhang 001 (CoRR, 2018)

Accurate inverses for computing eigenvalues of extremely ill-conditioned matrices and differential operators. - Qiang Ye 003 (Math. Comput., 2018)

Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform. - Kehelwala Dewage Gayan Maduranga; Kyle E. Helfrich; Qiang Ye 003 (AAAI, 2019)

On regularization for a convolutional kernel in neural networks. - Peichang Guo; Qiang Ye 003 (CoRR, 2019)

Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory. - Kyle Helfrich; Qiang Ye 003 (AAAI, 2020)

Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum. - Bao Wang; Qiang Ye 003 (CoRR, 2020)

Preconditioning for accurate solutions of ill-conditioned linear systems. - Qiang Ye 003 (Numer. Linear Algebra Appl., 2020)

Adaptive Weighted Discriminator for Training Generative Adversarial Networks. - Vasily Zadorozhnyy; Qiang Cheng 001; Qiang Ye 003 (CVPR, 2021)

A robust deep learning approach for automatic classification of seizures against non-seizures. - Xinghua Yao; Xiaojin Li; Qiang Ye 003; Yan Huang 034; Qiang Cheng 001; Guo-Qiang Zhang 001 (Biomed. Signal Process. Control., 2021)

AUTM flow: atomic unrestricted time machine for monotonic normalizing flows. - Difeng Cai; Yuliang Ji; Huan He; Qiang Ye 003; Yuanzhe Xi (UAI, 2022)

Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation. - Edison Mucllari; Vasily Zadorozhnyy; Cole Pospisil; Duc Nguyen; Qiang Ye 003 (CoRR, 2022)

Batch Normalization Preconditioning for Neural Network Training. - Susanna Lange; Kyle Helfrich; Qiang Ye 003 (J. Mach. Learn. Res., 2022)

SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks. - Vasily Zadorozhnyy; Qiang Ye 003; Kazuhito Koishida (INTERSPEECH, 2023)

Symmetry-structured convolutional neural networks. - Kehelwala Dewage Gayan Maduranga; Vasily Zadorozhnyy; Qiang Ye 003 (Neural Comput. Appl., 2023)

Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. - Mengqi Hu; Yifei Lou; Bao Wang 001; Ming Yan 006; Xiu Yang; Qiang Ye 003 (J. Sci. Comput., 2023)

Novel Molecular Representations Using Neumann-Cayley Orthogonal Gated Recurrent Unit. - Edison Mucllari; Vasily Zadorozhnyy; Qiang Ye 003; Duc Duy Nguyen (J. Chem. Inf. Model., 2023)

Do We Need a New Foundation to Use Deep Learning to Monitor Weld Penetration? - Edison Mucllari; Rui Yu; Yue Cao; Qiang Ye 003; YuMing Zhang (IEEE Robotics Autom. Lett., 2023)

Orthogonal Gated Recurrent Unit With Neumann-Cayley Transformation. - Vasily Zadorozhnyy; Edison Mucllari; Cole Pospisil; Duc Duy Nguyen; Qiang Ye 003 (Neural Comput., 2024)

Breaking Time Invariance: Assorted-Time Normalization for RNNs. - Cole Pospisil; Vasily Zadorozhnyy; Qiang Ye 003 (Neural Process. Lett., 2024)

Improving Deep Neural Networks' Training for Image Classification With Nonlinear Conjugate Gradient-Style Adaptive Momentum. - Bao Wang 001; Qiang Ye 003 (IEEE Trans. Neural Networks Learn. Syst., 2024)

CorrGAN: Simultaneous Learning of Speech Enhancement and Perceptual Quality Loss Functions. - Vasily Zadorozhnyy; Saeed Amizadeh; Qiang Ye 003; Kazuhito Koishida (ICASSP, 2025)

Compact Recurrent Transformer with Persistent Memory. - Edison Mucllari; Zachary Daniels; David Zhang; Qiang Ye 003 (CoRR, 2025)