Security of the Cao-Li Public Key Cryptosystem - Lek-Heng Lim (CoRR, 2000)

Genericity And Rank Deficiency Of High Order Symmetric Tensors. - Pierre Comon; Bernard Mourrain; Lek-Heng Lim; Gene H. Golub (ICASSP (3), 2006)

Singular Values and Eigenvalues of Tensors: A Variational Approach - Lek-Heng Lim (CoRR, 2006)

Learning to rank with combinatorial Hodge theory - Xiaoye Jiang; Lek-Heng Lim; Yuan Yao; Yinyu Ye 001 (CoRR, 2008)

Algorithmic and Statistical Challenges in Modern Large-Scale Data Analysis are the Focus of MMDS 2008 - Michael W. Mahoney; Lek-Heng Lim; Gunnar E. Carlsson (CoRR, 2008)

Shift-invariant multilinear decomposition of neuroimaging data. - Morten Mørup; Lars Kai Hansen; Sidse Marie Arnfred; Lek-Heng Lim; Kristoffer Hougaard Madsen (NeuroImage, 2008)

Symmetric Tensors and Symmetric Tensor Rank. - Pierre Comon; Gene H. Golub; Lek-Heng Lim; Bernard Mourrain (SIAM J. Matrix Anal. Appl., 2008)

Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem. - Vin de Silva; Lek-Heng Lim (SIAM J. Matrix Anal. Appl., 2008)

Algorithmic and statistical challenges in modern largescale data analysis are the focus of MMDS 2008. - Michael W. Mahoney; Lek-Heng Lim; Gunnar E. Carlsson (SIGKDD Explor., 2008)

Nonnegative approximations of nonnegative tensors - Lek-Heng Lim; Pierre Comon (CoRR, 2009)

Multiarray Signal Processing: Tensor decomposition meets compressed sensing - Lek-Heng Lim; Pierre Comon (CoRR, 2010)

Quasi-Newton Methods on Grassmannians and Multilinear Approximations of Tensors. - Berkant Savas; Lek-Heng Lim (SIAM J. Sci. Comput., 2010)

Rank aggregation via nuclear norm minimization. - David F. Gleich; Lek-Heng Lim (KDD, 2011)

Statistical ranking and combinatorial Hodge theory. - Xiaoye Jiang; Lek-Heng Lim; Yuan Yao; Yinyu Ye 001 (Math. Program., 2011)

Most Tensor Problems Are NP-Hard. - Christopher J. Hillar; Lek-Heng Lim (J. ACM, 2013)

ParNes: a rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals. - Ming Gu 002; Lek-Heng Lim; Cinna Julie Wu (Numer. Algorithms, 2013)

The spectral theory of tensors and its applications. - Lek-Heng Lim; Michael K. Ng 001; Liqun Qi 001 (Numer. Linear Algebra Appl., 2013)

Higher-Order Tensors in Diffusion Imaging. - Thomas Schultz 001; Andrea Fuster; Aurobrata Ghosh; Rachid Deriche; Luc Florack; Lek-Heng Lim (Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data, 2014)

Computational Complexity of Tensor Nuclear Norm. - Shmuel Friedland; Lek-Heng Lim (CoRR, 2014)

Blind Multilinear Identification. - Lek-Heng Lim; Pierre Comon (IEEE Trans. Inf. Theory, 2014)

Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top. - Arun Rajkumar; Suprovat Ghoshal; Lek-Heng Lim; Shivani Agarwal 001 (ICML, 2015)

Multilinear PageRank. - David F. Gleich; Lek-Heng Lim; Yongyang Yu (SIAM J. Matrix Anal. Appl., 2015)

Algorithms for structured matrix-vector product of optimal bilinear complexity. - Ke Ye; Lek-Heng Lim (ITW, 2016)

Fast and Accurate Multi-tissue Deconvolution Using SHORE and H-psd Tensors. - Michael Ankele; Lek-Heng Lim; Samuel Groeschel; Thomas Schultz 001 (MICCAI (3), 2016)

Every Matrix is a Product of Toeplitz Matrices. - Ke Ye; Lek-Heng Lim (Found. Comput. Math., 2016)

The Computational Complexity of Duality. - Shmuel Friedland; Lek-Heng Lim (SIAM J. Optim., 2016)

Semialgebraic Geometry of Nonnegative Tensor Rank. - Yang Qi; Pierre Comon; Lek-Heng Lim (SIAM J. Matrix Anal. Appl., 2016)

Schubert Varieties and Distances between Subspaces of Different Dimensions. - Ke Ye; Lek-Heng Lim (SIAM J. Matrix Anal. Appl., 2016)

Uniqueness of Nonnegative Tensor Approximations. - Yang Qi; Pierre Comon; Lek-Heng Lim (IEEE Trans. Inf. Theory, 2016)

Versatile, robust, and efficient tractography with constrained higher-order tensor fODFs. - Michael Ankele; Lek-Heng Lim; Samuel Groeschel; Thomas Schultz 001 (Int. J. Comput. Assist. Radiol. Surg., 2017)

Grothendieck constant is norm of Strassen matrix multiplication tensor. - Jinjie Zhang; Lek-Heng Lim (CoRR, 2017)

Self-concordance is NP-hard. - Lek-Heng Lim (J. Glob. Optim., 2017)

Cohomology of Cryo-Electron Microscopy. - Ke Ye; Lek-Heng Lim (SIAM J. Appl. Algebra Geom., 2017)

The Spacey Random Walk: A Stochastic Process for Higher-Order Data. - Austin R. Benson; David F. Gleich; Lek-Heng Lim (SIAM Rev., 2017)

Fast Randomized Iteration: Diffusion Monte Carlo through the Lens of Numerical Linear Algebra. - Lek-Heng Lim; Jonathan Weare (SIAM Rev., 2017)

Tropical Geometry of Deep Neural Networks. - Liwen Zhang; Gregory Naitzat; Lek-Heng Lim (ICML, 2018)

Semi-Riemannian Manifold Optimization. - Tingran Gao; Lek-Heng Lim; Ke Ye (CoRR, 2018)

Fast Structured Matrix Computations: Tensor Rank and Cohn-Umans Method. - Ke Ye; Lek-Heng Lim (Found. Comput. Math., 2018)

Nuclear norm of higher-order tensors. - Shmuel Friedland; Lek-Heng Lim (Math. Comput., 2018)

Path-connectedness of tensor ranks. - Yang Qi; Pierre Comon; Lek-Heng Lim; Ke Ye (EUSIPCO, 2019)

Best k-layer neural network approximations. - Lek-Heng Lim; Mateusz Michalek; Yang Qi (CoRR, 2019)

Grothendieck constant is norm of Strassen matrix multiplication tensor. - Shmuel Friedland; Lek-Heng Lim; Jinjie Zhang (Numerische Mathematik, 2019)

Numerical Algorithms on the Affine Grassmannian. - Lek-Heng Lim; Ken Sze-Wai Wong; Ke Ye (SIAM J. Matrix Anal. Appl., 2019)

Geometric Distance Between Positive Definite Matrices of Different Dimensions. - Lek-Heng Lim; Rodolphe Sepulchre; Ke Ye (IEEE Trans. Inf. Theory, 2019)

Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False. - Zehua Lai; Lek-Heng Lim (ICML, 2020)

Ubiquity of the exponent of matrix multiplication. - Lek-Heng Lim; Ke Ye (ISSAC, 2020)

Symmetric Grothendieck inequality. - Shmuel Friedland; Lek-Heng Lim (CoRR, 2020)

Topology of Deep Neural Networks. - Gregory Naitzat; Andrey Zhitnikov; Lek-Heng Lim (J. Mach. Learn. Res., 2020)

Hodge Laplacians on Graphs. - Lek-Heng Lim (SIAM Rev., 2020)

The Grassmannian of affine subspaces. - Lek-Heng Lim; Ken Sze-Wai Wong; Ke Ye (Found. Comput. Math., 2021)

Fiber product homotopy method for multiparameter eigenvalue problems. - Jose Israel Rodriguez; Jin-Hong Du; Yiling You; Lek-Heng Lim (Numerische Mathematik, 2021)

Tensors in computations. - Lek-Heng Lim (Acta Numer., 2021)

What is an equivariant neural network? - Lek-Heng Lim; Bradley J. Nelson (CoRR, 2022)

Rank-constrained Hyperbolic Programming. - Zhen Dai; Lek-Heng Lim (CoRR, 2022)

Inverting a complex matrix. - Zhen Dai; Lek-Heng Lim; Ke Ye (CoRR, 2022)

LU decomposition and Toeplitz decomposition of a neural network. - Yucong Liu; Simiao Jiao; Lek-Heng Lim (CoRR, 2022)

Special Issue: Polynomial and Tensor Optimization. - Shmuel Friedland; Jean-Bernard Lasserre; Lek-Heng Lim; Jiawang Nie (Math. Program., 2022)

Optimization on flag manifolds. - Ke Ye; Ken Sze-Wai Wong; Lek-Heng Lim (Math. Program., 2022)

Distances Between Probability Distributions of Different Dimensions. - Yuhang Cai; Lek-Heng Lim (IEEE Trans. Inf. Theory, 2022)

Learning Subspaces of Different Dimensions. - Brian St. Thomas; Kisung You; Lizhen Lin; Lek-Heng Lim; Sayan Mukherjee 001 (J. Comput. Graph. Stat., 2022)

Convex Relaxation for Fokker-Planck. - Yian Chen; Yuehaw Khoo; Lek-Heng Lim (CoRR, 2023)

Numerical stability and tensor nuclear norm. - Zhen Dai; Lek-Heng Lim (Numerische Mathematik, 2023)

Generalized Matrix Nearness Problems. - Zihao Li; Lek-Heng Lim (SIAM J. Matrix Anal. Appl., 2023)

Summing divergent matrix series. - Rongbiao Wang; JungHo Lee; Lek-Heng Lim (CoRR, 2024)

Simple matrix expressions for the curvatures of Grassmannian. - Zehua Lai; Lek-Heng Lim; Ke Ye (CoRR, 2024)

Grassmannian optimization is NP-hard. - Zehua Lai; Lek-Heng Lim; Ke Ye (CoRR, 2024)

Simple matrix models for the flag, Grassmann, and Stiefel manifolds. - Lek-Heng Lim; Ke Ye (CoRR, 2024)

Attention is a smoothed cubic spline. - Zehua Lai; Lek-Heng Lim; Yucong Liu (CoRR, 2024)

Stochastic Steffensen method. - Minda Zhao; Zehua Lai; Lek-Heng Lim (Comput. Optim. Appl., 2024)

Complex matrix inversion via real matrix inversions. - Zhen Dai; Lek-Heng Lim; Ke Ye (Numerische Mathematik, 2024)

Glivenko-Cantelli for f-divergence. - Haoming Wang; Lek-Heng Lim (CoRR, 2025)

Stiefel optimization is NP-hard. - Zehua Lai; Lek-Heng Lim; Tianyun Tang (CoRR, 2025)