Ming Gu

74 papers A* 4A 2Misc 3Journal 57Unranked 3
YearRankTypeTitle / Venue / Authors
2020 J jnl
Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations.
CoRR
Jed A. Duersch, Ming Gu
2020 J jnl
Randomized Projection for Rank-Revealing Matrix Factorizations and Low-Rank Approximations.
SIAM Rev.
Jed A. Duersch, Ming Gu
2019 J jnl
An efficient algorithm for bounded spectral matching with affine constraint.
Numer. Linear Algebra Appl.
Yan Dou, Ming Gu, Shivkumar Chandrasekaran
2018 J jnl
A Robust and Efficient Implementation of LOBPCG.
SIAM J. Sci. Comput.
Jed A. Duersch, Meiyue Shao, Chao Yang, Ming Gu
2018 J jnl
LSMB: Minimizing the Backward Error for Least-Squares Problems.
SIAM J. Matrix Anal. Appl.
Eric Hallman, Ming Gu
2018 J jnl
Low-Rank Matrix Approximations with Flip-Flop Spectrum-Revealing QR Factorization.
CoRR
Yuehua Feng, Jianwei Xiao, Ming Gu
2018 J jnl
Randomized Complete Pivoting for Solving Symmetric Indefinite Linear Systems.
SIAM J. Matrix Anal. Appl.
Yuehua Feng, Jianwei Xiao, Ming Gu
2017 A* conf
An Efficient, Sparsity-Preserving, Online Algorithm for Low-Rank Approximation.
ICML
David G. Anderson, Ming Gu
2017 Misc conf
Fast Parallel Randomized QR with Column Pivoting Algorithms for Reliable Low-Rank Matrix Approximations.
HiPC
Jianwei Xiao, Ming Gu, Julien Langou
2017 J jnl
Randomized QR with Column Pivoting.
SIAM J. Sci. Comput.
Jed A. Duersch, Ming Gu
2016 J jnl
An Efficient, Sparsity-Preserving, Online Algorithm for Data Approximation.
CoRR
David G. Anderson, Ming Gu
2016 J jnl
An improved divide-and-conquer algorithm for the banded matrices with narrow bandwidths.
Comput. Math. Appl.
Xiangke Liao, Shengguo Li, Lizhi Cheng, Ming Gu
2016 A* conf
Spectrum-Revealing Cholesky Factorization for Kernel Methods.
ICDM
Jianwei Xiao, Ming Gu
2015 J jnl
Communication Avoiding Rank Revealing QR Factorization with Column Pivoting.
SIAM J. Matrix Anal. Appl.
James Demmel, Laura Grigori, Ming Gu, Hua Xiang
2015 J jnl
Gaussian Elimination with Randomized Complete Pivoting.
CoRR
Christopher Melgaard, Ming Gu
2015 A conf
Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nyström Method.
AISTATS
David G. Anderson, Simon S. Du, Michael W. Mahoney, Christopher Melgaard, Kunming Wu, Ming Gu
2015 J jnl
Subspace Iteration Randomization and Singular Value Problems.
SIAM J. Sci. Comput.
Ming Gu
2014 J jnl
An Accelerated Divide-and-Conquer Algorithm for the Bidiagonal SVD Problem.
SIAM J. Matrix Anal. Appl.
Shengguo Li, Ming Gu, Lizhi Cheng, Xuebin Chi, Meng Sun
2014 J jnl
An Efficient Algorithm for Unweighted Spectral Graph Sparsification.
CoRR
David G. Anderson, Ming Gu, Christopher Melgaard
2014 J jnl
An Improved DQDS Algorithm.
SIAM J. Sci. Comput.
Shengguo Li, Ming Gu, Beresford N. Parlett
2014 J jnl
Fast structured LU factorization for nonsymmetric matrices.
Numerische Mathematik
Shengguo Li, Ming Gu, Lizhi Cheng
2013 J jnl
A big data approach to analyzing market volatility.
Algorithmic Finance
Kesheng Wu, E. Wes Bethel, Ming Gu, David Leinweber, Oliver Rübel
2013 — conf
Fast Change Point Detection for electricity market analysis.
IEEE BigData
William Gu, Jaesik Choi, Ming Gu, Horst D. Simon, Kesheng Wu
2013 J jnl
LU Factorization with Panel Rank Revealing Pivoting and Its Communication Avoiding Version.
SIAM J. Matrix Anal. Appl.
Amal Khabou, James Demmel, Laura Grigori, Ming Gu
2013 J jnl
ParNes: a rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals.
Numer. Algorithms
Ming Gu, Lek-Heng Lim, Cinna Julie Wu
2012 J jnl
A Superfast Structured Solver for Toeplitz Linear Systems via Randomized Sampling.
SIAM J. Matrix Anal. Appl.
Jianlin Xia, Yuanzhe Xi, Ming Gu
2012 J jnl
Higher order numerical discretizations for exterior and biharmonic type PDEs.
J. Comput. Appl. Math.
Karthik Jayaraman Raghuram, Shivkumar Chandrasekaran, Joseph Moffitt, Ming Gu, Hrushikesh Narhar Mhaskar
2012 J jnl
LU factorization with panel rank revealing pivoting and its communication avoiding version
CoRR
Amal Khabou, James Demmel, Laura Grigori, Ming Gu
2012 J jnl
New Efficient and Robust HSS Cholesky Factorization of SPD Matrices.
SIAM J. Matrix Anal. Appl.
Shengguo Li, Ming Gu, Cinna Julie Wu, Jianlin Xia
2011 Misc conf
Higher Order Numerical Discretization Methods with Sobolev Norm Minimization.
ICCS
Shiv Chandrasekaran, K. R. Jayaraman, Ming Gu, Hrushikesh Narhar Mhaskar, J. Mofftt
2010 J jnl
Direction-Preserving and Schur-Monotonic Semiseparable Approximations of Symmetric Positive Definite Matrices.
SIAM J. Matrix Anal. Appl.
Ming Gu, Xiaoye S. Li, Panayot S. Vassilevski
2010 J jnl
Fast algorithms for hierarchically semiseparable matrices.
Numer. Linear Algebra Appl.
Jianlin Xia, Shivkumar Chandrasekaran, Ming Gu, Xiaoye S. Li
2010 J jnl
On the Numerical Rank of the Off-Diagonal Blocks of Schur Complements of Discretized Elliptic PDEs.
SIAM J. Matrix Anal. Appl.
Shiv Chandrasekaran, Patrick M. Dewilde, Ming Gu, N. Somasunderam
2010 J jnl
Robust Approximate Cholesky Factorization of Rank-Structured Symmetric Positive Definite Matrices.
SIAM J. Matrix Anal. Appl.
Jianlin Xia, Ming Gu
2009 J jnl
PARNES: A rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals.
CoRR
Ming Gu, Lek-Heng Lim, Cinna Julie Wu
2009 J jnl
Superfast Multifrontal Method for Large Structured Linear Systems of Equations.
SIAM J. Matrix Anal. Appl.
Jianlin Xia, Shivkumar Chandrasekaran, Ming Gu, Xiaoye S. Li
2008 J jnl
Global minimization of rational functions and the nearest GCDs.
J. Glob. Optim.
Jiawang Nie, James Demmel, Ming Gu
2007 J jnl
A Superfast Algorithm for Toeplitz Systems of Linear Equations.
SIAM J. Matrix Anal. Appl.
Shiv Chandrasekaran, Ming Gu, Xiaotian Sun, Jianlin Xia, Jiang Zhu
2007 — ch.
Prospectus for a Dense Linear Algebra Software Library.
Handbook of Parallel Computing
Yozo Hida, James Demmel, Julien Langou, Jakub Kurzak, Ming Gu, Alfredo Buttari, Stanimire Tomov, Piotr Luszczek, Julie Langou, Osni Marques, Christof Vömel, Xiaoye S. Li, E. Jason Riedy, Jack J. Dongarra, William Kahan, Beresford N. Parlett, David Bindel
2006 J jnl
A Fast Solver for HSS Representations via Sparse Matrices.
SIAM J. Matrix Anal. Appl.
Shiv Chandrasekaran, Patrick M. Dewilde, Ming Gu, W. Lyons, T. Pals
2006 J jnl
A Fast ULV Decomposition Solver for Hierarchically Semiseparable Representations.
SIAM J. Matrix Anal. Appl.
Shiv Chandrasekaran, Ming Gu, T. Pals
2006 J jnl
An Algorithm to Compute Sep
SIAM J. Matrix Anal. Appl.
Ming Gu, Michael L. Overton
2006 J jnl
Fast Methods for Estimating the Distance to Uncontrollability.
SIAM J. Matrix Anal. Appl.
Ming Gu, Emre Mengi, Michael L. Overton, Jianlin Xia, Jiang Zhu
2006 — conf
Prospectus for the Next LAPACK and ScaLAPACK Libraries.
PARA
James Demmel, Jack J. Dongarra, Beresford N. Parlett, William Kahan, Ming Gu, David Bindel, Yozo Hida, Xiaoye S. Li, Osni Marques, E. Jason Riedy, Christof Vömel, Julien Langou, Piotr Luszczek, Jakub Kurzak, Alfredo Buttari, Julie Langou, Stanimire Tomov
2005 J jnl
Some Fast Algorithms for Sequentially Semiseparable Representations.
SIAM J. Matrix Anal. Appl.
Shiv Chandrasekaran, Patrick M. Dewilde, Ming Gu, T. Pals, X. Sun, Alle-Jan van der Veen, Daniel White
2004 J jnl
A divide-and-conquer algorithm for the eigendecomposition of symmetric block-diagonal plus semiseparable matrices.
Numerische Mathematik
Shivkumar Chandrasekaran, Ming Gu
2003 J jnl
A Stable Divide and Conquer Algorithm for the Unitary Eigenproblem.
SIAM J. Matrix Anal. Appl.
Ming Gu, Robert Guzzo, Xuebin Chi, Xing-Qin Cao
2003 J jnl
Fast and Stable Algorithms for Banded Plus Semiseparable Systems of Linear Equations.
SIAM J. Matrix Anal. Appl.
Shiv Chandrasekaran, Ming Gu
2002 Misc conf
Fast Stable Solver for Sequentially Semi-separable Linear Systems of Equations.
HiPC
Shiv Chandrasekaran, Patrick M. Dewilde, Ming Gu, T. Pals, Alle-Jan van der Veen
2001 A* conf
A Min-max Cut Algorithm for Graph Partitioning and Data Clustering.
ICDM
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Ming Gu, Horst D. Simon
2001 A conf
Bipartite Graph Partitioning and Data Clustering.
CIKM
Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
2001 J jnl
Bipartite graph partitioning and data clustering
CoRR
Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
2001 — conf
Spectral Relaxation for K-means Clustering.
NIPS
Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming Gu, Horst D. Simon
2001 J jnl
The Degenerate Bounded Errors-in-Variables Model.
SIAM J. Matrix Anal. Appl.
Shivkumar Chandrasekaran, Ming Gu, Ali H. Sayed, Keith E. Schubert
2000 — ch.
Generalized Hermitian Eigenvalue Problems.
Templates for the Solution of Algebraic Eigenvalue Problems
Ming Gu, Axel Ruhe, Gerard L. G. Sleijpen, Henk A. van der Vorst, Zhaojun Bai, Ruipeng Li
2000 — ch.
Hermitian Eigenvalue Problems.
Templates for the Solution of Algebraic Eigenvalue Problems
Ming Gu, Axel Ruhe, Richard B. Lehoucq, Danny C. Sorensen, Roland W. Freund, Gerard L. G. Sleijpen, Henk A. van der Vorst, Zhaojun Bai, Ruipeng Li
2000 J jnl
New Methods for Estimating the Distance to Uncontrollability.
SIAM J. Matrix Anal. Appl.
Ming Gu
2000 — ch.
Non-Hermitian Eigenvalue Problems.
Templates for the Solution of Algebraic Eigenvalue Problems
T. Chen, James Demmel, Ming Gu, Yousef Saad, Richard B. Lehoucq, Danny C. Sorensen, Kristyn J. Maschhoff, Zhaojun Bai, David Day, Roland W. Freund, Gerard L. G. Sleijpen, Henk A. van der Vorst, Ruipeng Li
2000 J jnl
Primal-Dual Interior-Point Methods for Semidefinite Programming in Finite Precision.
SIAM J. Optim.
Ming Gu
1999 J jnl
An Efficient Algorithm for a Bounded Errors-in-Variables Model.
SIAM J. Matrix Anal. Appl.
Shiv Chandrasekaran, Gene H. Golub, Ming Gu, Ali H. Sayed
1998 J jnl
A Stable and Efficient Algorithm for the Indefinite Linear Least-Squares Problem.
SIAM J. Matrix Anal. Appl.
S. Chandrasekaran, Ming Gu, Ali H. Sayed
1998 J jnl
Backward Perturbation Bounds for Linear Least Squares Problems.
SIAM J. Matrix Anal. Appl.
Ming Gu
1998 J jnl
New Fast Algorithms for Structured Linear Least Squares Problems.
SIAM J. Matrix Anal. Appl.
Ming Gu
1998 J jnl
Parameter Estimation in the Presence of Bounded Data Uncertainties.
SIAM J. Matrix Anal. Appl.
Shivkumar Chandrasekaran, Gene H. Golub, Ming Gu, Ali H. Sayed
1998 J jnl
Stable and Efficient Algorithms for Structured Systems of Linear Equations.
SIAM J. Matrix Anal. Appl.
Ming Gu
1997 J jnl
Parameter estimation in the presence of bounded modeling errors.
IEEE Signal Process. Lett.
Shivkumar Chandrasekaran, Gene H. Golub, Ming Gu, Ali H. Sayed
1996 J jnl
Efficient Algorithms for Computing a Strong Rank-Revealing QR Factorization.
SIAM J. Sci. Comput.
Ming Gu, Stanley C. Eisenstat
1995 J jnl
A Divide-and-Conquer Algorithm for the Bidiagonal SVD.
SIAM J. Matrix Anal. Appl.
Ming Gu, Stanley C. Eisenstat
1995 J jnl
A Divide-and-Conquer Algorithm for the Symmetric Tridiagonal Eigenproblem.
SIAM J. Matrix Anal. Appl.
Ming Gu, Stanley C. Eisenstat
1995 J jnl
Downdating the Singular Value Decomposition.
SIAM J. Matrix Anal. Appl.
Ming Gu, Stanley C. Eisenstat
1995 J jnl
Finding Well-Conditioned Similarities to Block-Diagonalize Nonsymmetric Matrices Is NP-Hard.
J. Complex.
Ming Gu
1995 — ch.
Templates for Linear Algebra Problems.
Computer Science Today
Zhaojun Bai, David Day, James Demmel, Jack J. Dongarra, Ming Gu, Axel Ruhe, Henk A. van der Vorst
1994 J jnl
A Stable and Efficient Algorithm for the Rank-One Modification of the Symmetric Eigenproblem.
SIAM J. Matrix Anal. Appl.
Ming Gu, Stanley C. Eisenstat
1994 A* conf
An Efficient Algorithm for Dynamic Text Indexing.
SODA
Ming Gu, Martin Farach, Richard Beigel