C.J. Hillar and L.-H. Lim, "Most tensor problems are NP hard,"
preprint, (2009). C.J. Hillar and L.-H. Lim, "Most tensor problems are NP hard,"
preprint, (2009).
M. Gu, L.-H. Lim, and C.J. Wu, "PARNES: A rapidly convergent algorithm for accurate recovery of sparse and approximately sparse signals", preprint, (2009).
X. Jiang, L.-H. Lim, Y. Yao, and Y. Ye, "Statistical ranking and combinatorial Hodge theory," preprint, (2009).
B. Savas and L.-H. Lim, "Quasi-Newton methods on Grassmannians and multilinear approximations of tensors," preprint, (2009).
J. Morton and L.-H. Lim, "Principal cumulant component analysis," (extended abstract), preprint, (2009).
L.-H. Lim and P. Comon, "Nonnegative approximations of nonnegative tensors," Journal of Chemometrics, 23 (2009), no. 7–8, pp. 432–441.
M. Mørup, L. Hansen, S. Arnfred, L.-H. Lim, and K. Madsen, "Shift invariant multilinear decomposition of neuroimaging data," NeuroImage, 42 (2008), no. 4, pp. 1439–1450.
P. Comon, G. Golub, L.-H. Lim, and B. Mourrain, "Symmetric tensors and symmetric tensor rank," SIAM Journal on Matrix Analysis and Applications, 30 (2008), no. 3, pp. 1254–1279.
V. de Silva and L.-H. Lim, "Tensor rank and the ill-posedness of the best low-rank approximation problem," SIAM Journal on Matrix Analysis and Applications, 30 (2008), no. 3, pp. 1084–1127.
P. Comon, G. Golub, L.-H. Lim, and B. Mourrain, "Genericity and rank deficiency of high order symmetric tensors," Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '06), 31 (2006), no. 3, pp. 125–128.
L.-H. Lim, "Singular values and eigenvalues of tensors: a variational approach," Proceedings of the IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP '05), 1 (2005), pp. 129–132.
L.-H. Lim, J. Packer, and K. Taylor, "Direct integral decomposition of the wavelet representation," Proceedings of the American Mathematical Society, 129 (2001), no. 10, pp. 3057–3067.
L.-H. Lim, "Security of the Cao-Li public key cryptosystem," Electronics Letters, 34 (1998), no. 2, pp. 170–172.
M. Mahoney, L.-H. Lim, and G. Carlsson, "MMDS 2008: Algorithmic and statistical challenges in modern large-scale data analysis are the focus," Statistical Computing and Graphics, 20 (2009), no. 1, pp. 12–18.
M. Mahoney, L.-H. Lim, and G. Carlsson, "Algorithmic, statistical challenges in data analysis focus of MMDS 2008," AMSTAT News, 384 (2009), pp. 16–19.
M. Mahoney, L.-H. Lim, and G. Carlsson, "MMDS 2008: Algorithmic and statistical challenges in modern large-scale data analysis, Parts I & II," SIAM News, 42 (2009), no. 1, pp. 8, & no. 2, pp. 8–9.
M. Mahoney, L.-H. Lim, and G. Carlsson, "Algorithmic and statistical challenges in modern large-scale data analysis are the focus of MMDS 2008," KDD Explorations, 10 (2008), no. 2, pp. 57–60.
M. Mahoney, L.-H. Lim, and G. Carlsson, "Algorithms for modern massive data sets," IMS Bulletin, 37 (2008), no. 10, pp. 10–11.
P. Drineas, G. Golub, L.-H. Lim, and M. Mahoney "Bridging the gap between numerical linear algebra, theoretical computer science, and data applications," SIAM News, 39 (2006), no. 8, pp. 1 & 16.