Lek-Heng Lim - RankMe

94 papers A* 4B 2Journal 84Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Euclidean Distance Degree in Manifold Optimization. SIAM J. Optim. Zehua Lai, Lek-Heng Lim, Ke Ye
2025	J	`jnl`	Glivenko-Cantelli for CoRR Haoming Wang, Lek-Heng Lim
2025	J	`jnl`	Grassmannian Optimization Is NP-Hard. SIAM J. Optim. Zehua Lai, Lek-Heng Lim, Ke Ye
2025	J	`jnl`	Stiefel optimization is NP-hard. CoRR Zehua Lai, Lek-Heng Lim, Tianyun Tang
2025	J	`jnl`	Summing divergent matrix series. Numerische Mathematik Rongbiao Wang, Jungho Lee, Lek-Heng Lim
2024	J	`jnl`	Attention is a smoothed cubic spline. CoRR Zehua Lai, Lek-Heng Lim, Yucong Liu
2024	J	`jnl`	Complex matrix inversion via real matrix inversions. Numerische Mathematik Zhen Dai, Lek-Heng Lim, Ke Ye
2024	J	`jnl`	Grassmannian optimization is NP-hard. CoRR Zehua Lai, Lek-Heng Lim, Ke Ye
2024	J	`jnl`	Simple matrix expressions for the curvatures of Grassmannian. CoRR Zehua Lai, Lek-Heng Lim, Ke Ye
2024	J	`jnl`	Simple matrix models for the flag, Grassmann, and Stiefel manifolds. CoRR Lek-Heng Lim, Ke Ye
2024	J	`jnl`	Stochastic Steffensen method. Comput. Optim. Appl. Minda Zhao, Zehua Lai, Lek-Heng Lim
2024	J	`jnl`	Summing divergent matrix series. CoRR Rongbiao Wang, Jungho Lee, Lek-Heng Lim
2023	J	`jnl`	Convex Relaxation for Fokker-Planck. CoRR Yian Chen, Yuehaw Khoo, Lek-Heng Lim
2023	J	`jnl`	Generalized Matrix Nearness Problems. SIAM J. Matrix Anal. Appl. Zihao Li, Lek-Heng Lim
2023	J	`jnl`	Numerical stability and tensor nuclear norm. Numerische Mathematik Zhen Dai, Lek-Heng Lim
2022	J	`jnl`	Distances Between Probability Distributions of Different Dimensions. IEEE Trans. Inf. Theory Yuhang Cai, Lek-Heng Lim
2022	J	`jnl`	Generalized matrix nearness problems. CoRR Zihao Li, Lek-Heng Lim
2022	J	`jnl`	Inverting a complex matrix. CoRR Zhen Dai, Lek-Heng Lim, Ke Ye
2022	J	`jnl`	LU decomposition and Toeplitz decomposition of a neural network. CoRR Yucong Liu, Simiao Jiao, Lek-Heng Lim
2022	J	`jnl`	Learning Subspaces of Different Dimensions. J. Comput. Graph. Stat. Brian St. Thomas, Kisung You, Lizhen Lin, Lek-Heng Lim, Sayan Mukherjee
2022	J	`jnl`	Numerical stability and tensor nuclear norm. CoRR Zhen Dai, Lek-Heng Lim
2022	J	`jnl`	Optimization on flag manifolds. Math. Program. Ke Ye, Ken Sze-Wai Wong, Lek-Heng Lim
2022	J	`jnl`	Rank-constrained Hyperbolic Programming. CoRR Zhen Dai, Lek-Heng Lim
2022	J	`jnl`	Special Issue: Polynomial and Tensor Optimization. Math. Program. Shmuel Friedland, Jean-Bernard Lasserre, Lek-Heng Lim, Jiawang Nie
2022	J	`jnl`	Stochastic Steffensen method. CoRR Minda Zhao, Zehua Lai, Lek-Heng Lim
2022	J	`jnl`	What is an equivariant neural network? CoRR Lek-Heng Lim, Bradley J. Nelson
2021	J	`jnl`	Fiber product homotopy method for multiparameter eigenvalue problems. Numerische Mathematik Jose Israel Rodriguez, Jin-Hong Du, Yiling You, Lek-Heng Lim
2021	J	`jnl`	Tensors in computations. Acta Numer. Lek-Heng Lim
2021	J	`jnl`	Tensors in computations. CoRR Lek-Heng Lim
2021	J	`jnl`	The Grassmannian of affine subspaces. Found. Comput. Math. Lek-Heng Lim, Ken Sze-Wai Wong, Ke Ye
2020	J	`jnl`	Distances between probability distributions of different dimensions. CoRR Yuhang Cai, Lek-Heng Lim
2020	J	`jnl`	Hodge Laplacians on Graphs. SIAM Rev. Lek-Heng Lim
2020	A*	`conf`	Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False. ICML Zehua Lai, Lek-Heng Lim
2020	J	`jnl`	Recht-Ré Noncommutative Arithmetic-Geometric Mean Conjecture is False. CoRR Zehua Lai, Lek-Heng Lim
2020	J	`jnl`	Symmetric Grothendieck inequality. CoRR Shmuel Friedland, Lek-Heng Lim
2020	J	`jnl`	Topology of Deep Neural Networks. J. Mach. Learn. Res. Gregory Naitzat, Andrey Zhitnikov, Lek-Heng Lim
2020	J	`jnl`	Topology of deep neural networks. CoRR Gregory Naitzat, Andrey Zhitnikov, Lek-Heng Lim
2020	B	`conf`	Ubiquity of the exponent of matrix multiplication. ISSAC Lek-Heng Lim, Ke Ye
2019	J	`jnl`	Best k-layer neural network approximations. CoRR Lek-Heng Lim, Mateusz Michalek, Yang Qi
2019	J	`jnl`	Geometric Distance Between Positive Definite Matrices of Different Dimensions. IEEE Trans. Inf. Theory Lek-Heng Lim, Rodolphe Sepulchre, Ke Ye
2019	J	`jnl`	Grothendieck constant is norm of Strassen matrix multiplication tensor. Numerische Mathematik Shmuel Friedland, Lek-Heng Lim, Jinjie Zhang
2019	J	`jnl`	Numerical Algorithms on the Affine Grassmannian. SIAM J. Matrix Anal. Appl. Lek-Heng Lim, Ken Sze-Wai Wong, Ke Ye
2019	—	`conf`	Path-connectedness of tensor ranks. EUSIPCO Yang Qi, Pierre Comon, Lek-Heng Lim, Ke Ye
2018	J	`jnl`	Fast Structured Matrix Computations: Tensor Rank and Cohn-Umans Method. Found. Comput. Math. Ke Ye, Lek-Heng Lim
2018	J	`jnl`	Nuclear norm of higher-order tensors. Math. Comput. Shmuel Friedland, Lek-Heng Lim
2018	J	`jnl`	Semi-Riemannian Manifold Optimization. CoRR Tingran Gao, Lek-Heng Lim, Ke Ye
2018	A*	`conf`	Tropical Geometry of Deep Neural Networks. ICML Liwen Zhang, Gregory Naitzat, Lek-Heng Lim
2018	J	`jnl`	Tropical Geometry of Deep Neural Networks. CoRR Liwen Zhang, Gregory Naitzat, Lek-Heng Lim
2017	J	`jnl`	Cohomology of Cryo-Electron Microscopy. SIAM J. Appl. Algebra Geom. Ke Ye, Lek-Heng Lim
2017	J	`jnl`	Fast Randomized Iteration: Diffusion Monte Carlo through the Lens of Numerical Linear Algebra. SIAM Rev. Lek-Heng Lim, Jonathan Weare
2017	J	`jnl`	Grothendieck constant is norm of Strassen matrix multiplication tensor. CoRR Jinjie Zhang, Lek-Heng Lim
2017	J	`jnl`	Self-concordance is NP-hard. J. Glob. Optim. Lek-Heng Lim
2017	J	`jnl`	The Spacey Random Walk: A Stochastic Process for Higher-Order Data. SIAM Rev. Austin R. Benson, David F. Gleich, Lek-Heng Lim
2017	J	`jnl`	Versatile, robust, and efficient tractography with constrained higher-order tensor fODFs. Int. J. Comput. Assist. Radiol. Surg. Michael Ankele, Lek-Heng Lim, Samuel Groeschel, Thomas Schultz
2016	B	`conf`	Algorithms for structured matrix-vector product of optimal bilinear complexity. ITW Ke Ye, Lek-Heng Lim
2016	J	`jnl`	Cohomology of Cryo-Electron Microscopy. CoRR Ke Ye, Lek-Heng Lim
2016	J	`jnl`	Every Matrix is a Product of Toeplitz Matrices. Found. Comput. Math. Ke Ye, Lek-Heng Lim
2016	—	`conf`	Fast and Accurate Multi-tissue Deconvolution Using SHORE and H-psd Tensors. MICCAI (3) Michael Ankele, Lek-Heng Lim, Samuel Groeschel, Thomas Schultz
2016	J	`jnl`	Schubert Varieties and Distances between Subspaces of Different Dimensions. SIAM J. Matrix Anal. Appl. Ke Ye, Lek-Heng Lim
2016	J	`jnl`	Semialgebraic Geometry of Nonnegative Tensor Rank. SIAM J. Matrix Anal. Appl. Yang Qi, Pierre Comon, Lek-Heng Lim
2016	J	`jnl`	The Computational Complexity of Duality. CoRR Shmuel Friedland, Lek-Heng Lim
2016	J	`jnl`	The Computational Complexity of Duality. SIAM J. Optim. Shmuel Friedland, Lek-Heng Lim
2016	J	`jnl`	The Spacey Random Walk: a Stochastic Process for Higher-order Data. CoRR Austin R. Benson, David F. Gleich, Lek-Heng Lim
2016	J	`jnl`	Uniqueness of Nonnegative Tensor Approximations. IEEE Trans. Inf. Theory Yang Qi, Pierre Comon, Lek-Heng Lim
2015	J	`jnl`	Hodge Laplacians on graphs. CoRR Lek-Heng Lim
2015	J	`jnl`	Multilinear PageRank. SIAM J. Matrix Anal. Appl. David F. Gleich, Lek-Heng Lim, Yongyang Yu
2015	A*	`conf`	Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top. ICML Arun Rajkumar, Suprovat Ghoshal, Lek-Heng Lim, Shivani Agarwal
2014	J	`jnl`	Blind Multilinear Identification. IEEE Trans. Inf. Theory Lek-Heng Lim, Pierre Comon
2014	J	`jnl`	Computational Complexity of Tensor Nuclear Norm. CoRR Shmuel Friedland, Lek-Heng Lim
2014	—	`ch.`	Higher-Order Tensors in Diffusion Imaging. Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data Thomas Schultz, Andrea Fuster, Aurobrata Ghosh, Rachid Deriche, Luc Florack, Lek-Heng Lim
2014	J	`jnl`	Multilinear PageRank. CoRR David F. Gleich, Lek-Heng Lim, Yongyang Yu
2014	J	`jnl`	Uniqueness of Nonnegative Tensor Approximations. CoRR Yang Qi, Pierre Comon, Lek-Heng Lim
2013	J	`jnl`	Most Tensor Problems Are NP-Hard. J. ACM Christopher J. Hillar, Lek-Heng Lim
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
2013	J	`jnl`	Self-concordance is NP-hard CoRR Lek-Heng Lim
2013	J	`jnl`	The spectral theory of tensors and its applications. Numer. Linear Algebra Appl. Lek-Heng Lim, Michael K. Ng, Liqun Qi
2012	J	`jnl`	Blind Multilinear Identification CoRR Lek-Heng Lim, Pierre Comon
2011	J	`jnl`	Rank Aggregation via Nuclear Norm Minimization CoRR David F. Gleich, Lek-Heng Lim
2011	A*	`conf`	Rank aggregation via nuclear norm minimization. KDD David F. Gleich, Lek-Heng Lim
2011	J	`jnl`	Statistical ranking and combinatorial Hodge theory. Math. Program. Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
2010	J	`jnl`	Multiarray Signal Processing: Tensor decomposition meets compressed sensing CoRR Lek-Heng Lim, Pierre Comon
2010	J	`jnl`	Quasi-Newton Methods on Grassmannians and Multilinear Approximations of Tensors. SIAM J. Sci. Comput. Berkant Savas, Lek-Heng Lim
2009	J	`jnl`	Most tensor problems are NP hard CoRR Christopher J. Hillar, Lek-Heng Lim
2009	J	`jnl`	Nonnegative approximations of nonnegative tensors CoRR Lek-Heng Lim, Pierre Comon
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
2008	J	`jnl`	Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008 CoRR Michael W. Mahoney, Lek-Heng Lim, Gunnar E. Carlsson
2008	J	`jnl`	Algorithmic and statistical challenges in modern largescale data analysis are the focus of MMDS 2008. SIGKDD Explor. Michael W. Mahoney, Lek-Heng Lim, Gunnar E. Carlsson
2008	J	`jnl`	Learning to rank with combinatorial Hodge theory CoRR Xiaoye Jiang, Lek-Heng Lim, Yuan Yao, Yinyu Ye
2008	J	`jnl`	Shift-invariant multilinear decomposition of neuroimaging data. NeuroImage Morten Mørup, Lars Kai Hansen, Sidse Marie Arnfred, Lek-Heng Lim, Kristoffer Hougaard Madsen
2008	J	`jnl`	Symmetric Tensors and Symmetric Tensor Rank. SIAM J. Matrix Anal. Appl. Pierre Comon, Gene H. Golub, Lek-Heng Lim, Bernard Mourrain
2008	J	`jnl`	Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem. SIAM J. Matrix Anal. Appl. Vin de Silva, Lek-Heng Lim
2006	—	`conf`	Genericity And Rank Deficiency Of High Order Symmetric Tensors. ICASSP (3) Pierre Comon, Bernard Mourrain, Lek-Heng Lim, Gene H. Golub
2006	J	`jnl`	Singular Values and Eigenvalues of Tensors: A Variational Approach CoRR Lek-Heng Lim
2000	J	`jnl`	Security of the Cao-Li Public Key Cryptosystem CoRR Lek-Heng Lim