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ORCIDQiang Ye 0003
Person information
- affiliation: University of Kentucky, Department of Mathematics, Lexington, KY, USA
- affiliation: University of Manitoba, Department of Mathematics, Winnipeg, MB, Canada
Other persons with the same name
- Qiang Ye — disambiguation page
- Qiang Ye 0001
![[0000-0001-6711-7818]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-6711-7818")
— Dalhousie University, Faculty of Computer Science, Halifax, NS, Canada (and 2 more) - Qiang Ye 0002 — Memorial University of Newfoundland, St. John's, Canada (and 2 more)
- Qiang Ye 0004 — Harbin Institute of Technology, School of Managment, China
- Qiang Ye 0005 — Chinese Academy of Sciences, Institute of High Energy Physics, Beijing, China
- Qiang Ye 0006 — Nanjing Sport Institute, Department of Sport and Health Science, China
- Qiang Ye 0007 — University of Pittsburgh, Department of Information Science and Telecommunications, PA, USA
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Journal Articles
- 2024
[j35]Cole Pospisil, Vasily Zadorozhnyy, Qiang Ye:
Breaking Time Invariance: Assorted-Time Normalization for RNNs. Neural Process. Lett. 56(2): 78 (2024)- [j34]Bao Wang, Qiang Ye:
Improving Deep Neural Networks' Training for Image Classification With Nonlinear Conjugate Gradient-Style Adaptive Momentum. IEEE Trans. Neural Networks Learn. Syst. 35(9): 12288-12300 (2024) - 2023
- [j33]Edison Mucllari, Vasily Zadorozhnyy, Qiang Ye, Duc Duy Nguyen:
Novel Molecular Representations Using Neumann-Cayley Orthogonal Gated Recurrent Unit. J. Chem. Inf. Model. 63(9): 2656-2666 (2023) - [j32]Mengqi Hu, Yifei Lou, Bao Wang, Ming Yan, Xiu Yang, Qiang Ye:
Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. J. Sci. Comput. 95(1): 33 (2023) - [j31]Kehelwala Dewage Gayan Maduranga, Vasily Zadorozhnyy, Qiang Ye:
Symmetry-structured convolutional neural networks. Neural Comput. Appl. 35(6): 4421-4434 (2023) - [j30]Edison Mucllari, Rui Yu, Yue Cao, Qiang Ye, YuMing Zhang:
Do We Need a New Foundation to Use Deep Learning to Monitor Weld Penetration? IEEE Robotics Autom. Lett. 8(6): 3669-3676 (2023) - 2022
- [j29]Susanna Lange, Kyle Helfrich, Qiang Ye:
Batch Normalization Preconditioning for Neural Network Training. J. Mach. Learn. Res. 23: 72:1-72:41 (2022) - 2021
- [j28]Xinghua Yao, Xiaojin Li, Qiang Ye, Yan Huang, Qiang Cheng, Guo-Qiang Zhang:
A robust deep learning approach for automatic classification of seizures against non-seizures. Biomed. Signal Process. Control. 64: 102215 (2021) - 2020
- [j27]Qiang Ye:
Preconditioning for accurate solutions of ill-conditioned linear systems. Numer. Linear Algebra Appl. 27(4) (2020) - 2018
- [j26]Qiang Ye:
Accurate inverses for computing eigenvalues of extremely ill-conditioned matrices and differential operators. Math. Comput. 87(309): 237-259 (2018) - 2017
- [j25]Hao Wang, Qiang Ye:
Error Bounds for the Krylov Subspace Methods for Computations of Matrix Exponentials. SIAM J. Matrix Anal. Appl. 38(1): 155-187 (2017) - 2014
- [j24]Megan Dailey, Froilán M. Dopico, Qiang Ye:
A New Perturbation Bound for the LDU Factorization of Diagonally Dominant Matrices. SIAM J. Matrix Anal. Appl. 35(3): 904-930 (2014) - [j23]Megan Dailey, Froilán M. Dopico, Qiang Ye:
Relative Perturbation Theory for Diagonally Dominant Matrices. SIAM J. Matrix Anal. Appl. 35(4): 1303-1328 (2014) - 2013
- [j22]Jungong Xue, Qiang Ye:
Computing exponentials of essentially non-negative matrices entrywise to high relative accuracy. Math. Comput. 82(283): 1577-1596 (2013) - [j21]Qiang Ye:
Error Bounds for the Lanczos Methods for Approximating Matrix Exponentials. SIAM J. Numer. Anal. 51(1): 68-87 (2013) - 2010
- [j20]Patrick Quillen, Qiang Ye:
A block inverse-free preconditioned Krylov subspace method for symmetric generalized eigenvalue problems. J. Comput. Appl. Math. 233(5): 1298-1313 (2010) - 2009
- [j19]Qiang Ye:
Relative Perturbation Bounds for Eigenvalues of Symmetric Positive Definite Diagonally Dominant Matrices. SIAM J. Matrix Anal. Appl. 31(1): 11-17 (2009) - 2008
- [j18]Qiang Ye:
Computing singular values of diagonally dominant matrices to high relative accuracy. Math. Comput. 77(264): 2195-2230 (2008) - [j17]Lothar Reichel, Qiang Ye:
A generalized LSQR algorithm. Numer. Linear Algebra Appl. 15(7): 643-660 (2008) - [j16]Jungong Xue, Qiang Ye:
Entrywise relative perturbation bounds for exponentials of essentially non-negative matrices. Numerische Mathematik 110(3): 393 (2008) - 2006
- [j15]Qiang Ye:
An iterated shift-and-invert Arnoldi algorithm for quadratic matrix eigenvalue problems. Appl. Math. Comput. 172(2): 818-827 (2006) - 2005
- [j14]Lothar Reichel, Qiang Ye:
Breakdown-free GMRES for Singular Systems. SIAM J. Matrix Anal. Appl. 26(4): 1001-1021 (2005) - [j13]James H. Money, Qiang Ye:
Algorithm 845: EIGIFP: a MATLAB program for solving large symmetric generalized eigenvalue problems. ACM Trans. Math. Softw. 31(2): 270-279 (2005) - 2003
- [j12]Ren-Cang Li, Qiang Ye:
A Krylov Subspace Method for Quadratic Matrix Polynomials with Application to Constrained Least Squares Problems. SIAM J. Matrix Anal. Appl. 25(2): 405-428 (2003) - 2002
- [j11]Attahiru Sule Alfa, Jungong Xue, Qiang Ye:
Accurate computation of the smallest eigenvalue of a diagonally dominant M-matrix. Math. Comput. 71(237): 217-236 (2002) - [j10]Attahiru Sule Alfa, Jungong Xue, Qiang Ye:
Entrywise perturbation theory for diagonally dominant M-matrices with applications. Numerische Mathematik 90(3): 401-414 (2002) - [j9]Gene H. Golub, Qiang Ye:
An Inverse Free Preconditioned Krylov Subspace Method for Symmetric Generalized Eigenvalue Problems. SIAM J. Sci. Comput. 24(1): 312-334 (2002) - 2001
- [j8]Attahiru Sule Alfa, Jungong Xue, Qiang Ye:
Perturbation Theory for the Asymptotic Decay Rates in the Queues with Markovian Arrival Process and/or Markovian Service Process - Correction. Queueing Syst. Theory Appl. 39(1): 5-6 (2001) - 2000
- [j7]Charles H. Tong, Qiang Ye:
Analysis of the finite precision bi-conjugate gradient algorithm for nonsymmetric linear systems. Math. Comput. 69(232): 1559-1575 (2000) - [j6]Attahiru Sule Alfa, Jungong Xue, Qiang Ye:
Perturbation Theory for the Asymptotic Decay Rates in the Queues with Markovian Arrival Process and/or Markovian Service Process. Queueing Syst. Theory Appl. 36(4): 287-301 (2000) - 1999
- [j5]Zhaojun Bai, David Day, Qiang Ye:
ABLE: An Adaptive Block Lanczos Method for Non-Hermitian Eigenvalue Problems. SIAM J. Matrix Anal. Appl. 20(4): 1060-1082 (1999) - [j4]Gene H. Golub, Qiang Ye:
Inexact Preconditioned Conjugate Gradient Method with Inner-Outer Iteration. SIAM J. Sci. Comput. 21(4): 1305-1320 (1999) - [j3]Zhaojun Bai, Rodney D. Slone, William T. Smith, Qiang Ye:
Error bound for reduced system model by Pade approximation via the Lanczos process. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 18(2): 133-141 (1999) - 1996
- [j2]Qiang Ye:
An adaptive block Lanczos algorithm. Numer. Algorithms 12(1): 97-110 (1996) - [j1]Charles H. Tong, Qiang Ye:
A linear system solver based on a modified Krylov subspace method for breakdown recovery. Numer. Algorithms 12(1): 233-251 (1996)
Conference and Workshop Papers
- 2023
- [c6]Vasily Zadorozhnyy, Qiang Ye, Kazuhito Koishida:
SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks. INTERSPEECH 2023: 2463-2467 - 2022
- [c5]Difeng Cai, Yuliang Ji, Huan He, Qiang Ye, Yuanzhe Xi:
AUTM flow: atomic unrestricted time machine for monotonic normalizing flows. UAI 2022: 266-274 - 2021
- [c4]Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye:
Adaptive Weighted Discriminator for Training Generative Adversarial Networks. CVPR 2021: 4781-4790 - 2020
- [c3]Kyle Helfrich, Qiang Ye:
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory. AAAI 2020: 4115-4122 - 2019
- [c2]Kehelwala Dewage Gayan Maduranga, Kyle E. Helfrich, Qiang Ye:
Complex Unitary Recurrent Neural Networks Using Scaled Cayley Transform. AAAI 2019: 4528-4535 - 2018
- [c1]Kyle Helfrich, Devin Willmott, Qiang Ye:
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform. ICML 2018: 1974-1983
Informal and Other Publications
- 2022
- [i13]Kehelwala Dewage Gayan Maduranga, Vasily Zadorozhnyy, Qiang Ye:
Symmetry Structured Convolutional Neural Networks. CoRR abs/2203.02056 (2022) - [i12]Difeng Cai, Yuliang Ji, Huan He, Qiang Ye, Yuanzhe Xi:
AUTM Flow: Atomic Unrestricted Time Machine for Monotonic Normalizing Flows. CoRR abs/2206.02102 (2022) - [i11]Edison Mucllari, Vasily Zadorozhnyy, Cole Pospisil, Duc Nguyen, Qiang Ye:
Orthogonal Gated Recurrent Unit with Neumann-Cayley Transformation. CoRR abs/2208.06496 (2022) - [i10]Cole Pospisil, Vasily Zadorozhnyy, Qiang Ye:
Breaking Time Invariance: Assorted-Time Normalization for RNNs. CoRR abs/2209.14439 (2022) - [i9]Vasily Zadorozhnyy, Qiang Ye, Kazuhito Koishida:
SCP-GAN: Self-Correcting Discriminator Optimization for Training Consistency Preserving Metric GAN on Speech Enhancement Tasks. CoRR abs/2210.14474 (2022) - 2021
- [i8]Susanna Lange, Kyle Helfrich, Qiang Ye:
Batch Normalization Preconditioning for Neural Network Training. CoRR abs/2108.01110 (2021) - 2020
- [i7]Bao Wang, Qiang Ye:
Stochastic Gradient Descent with Nonlinear Conjugate Gradient-Style Adaptive Momentum. CoRR abs/2012.02188 (2020) - [i6]Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye:
Adaptive Weighted Discriminator for Training Generative Adversarial Networks. CoRR abs/2012.03149 (2020) - 2019
- [i5]Peichang Guo, Qiang Ye:
On regularization for a convolutional kernel in neural networks. CoRR abs/1906.04866 (2019) - [i4]Kyle Helfrich, Qiang Ye:
Eigenvalue Normalized Recurrent Neural Networks for Short Term Memory. CoRR abs/1911.07964 (2019) - 2018
- [i3]Kehelwala Dewage Gayan Maduranga, Kyle E. Helfrich, Qiang Ye:
Complex Unitary Recurrent Neural Networks using Scaled Cayley Transform. CoRR abs/1811.04142 (2018) - [i2]Xinghua Yao, Xiaojin Li, Qiang Ye, Yan Huang, Qiang Cheng, Guoqiang Zhang:
A Robust Deep Learning Approach for Automatic Seizure Detection. CoRR abs/1812.06562 (2018) - 2017
- [i1]Kyle Helfrich, Devin Willmott, Qiang Ye:
Orthogonal Recurrent Neural Networks with Scaled Cayley Transform. CoRR abs/1707.09520 (2017)
Coauthor Index
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