Nonconvex optimization meets low-rank matrix factorization: An overview Y Chi, YM Lu, Y Chen IEEE Transactions on Signal Processing 67 (20), 5239-5269, 2019 | 472 | 2019 |
A theory for sampling signals from a union of subspaces YM Lu, MN Do IEEE transactions on signal processing 56 (6), 2334-2345, 2008 | 328 | 2008 |
Acoustic Echoes Reveal Room Shape I Dokmanic, R Parhizkar, A Walther, YM Lu, M Vetterli Proceedings of the National Academy of Sciences, 2013 | 305 | 2013 |
Multidimensional directional filter banks and surfacelets YM Lu, MN Do IEEE Transactions on Image Processing 16 (4), 918-931, 2007 | 293 | 2007 |
A new contourlet transform with sharp frequency localization Y Lu, MN Do 2006 International Conference on Image Processing, 1629-1632, 2006 | 247 | 2006 |
A spectral graph uncertainty principle A Agaskar, YM Lu IEEE Transactions on Information Theory, 2013 | 200 | 2013 |
CRISP contourlets: a critically sampled directional multiresolution image representation Y Lu, MN Do Wavelets: Applications in Signal and Image Processing X 5207, 655-665, 2003 | 158 | 2003 |
Universality laws for high-dimensional learning with random features H Hu, YM Lu IEEE Transactions on Information Theory 69 (3), 1932-1964, 2022 | 129 | 2022 |
Bits from Photons: Oversampled Image Acquisition Using Binary Poisson Statistics F Yang, YM Lu, L Sbaiz, M Vetterli IEEE Transactions on Image Processing 21 (4), 1421-1436, 2011 | 123 | 2011 |
Can one hear the shape of a room: The 2-D polygonal case I Dokmanić, YM Lu, M Vetterli 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 120 | 2011 |
Designing color filter arrays for the joint capture of visible and near-infrared images YM Lu, C Fredembach, M Vetterli, S Süsstrunk 2009 16th IEEE International Conference on Image Processing (ICIP), 3797-3800, 2009 | 108 | 2009 |
Monte Carlo non local means: Random sampling for large-scale image filtering SH Chan, T Zickler, YM Lu IEEE Transactions on Image Processing 23 (8), 3711-3725, 2014 | 103 | 2014 |
A Distributed Gauss-Newton Method for Power System State Estimation A Minot, YM Lu, N Li IEEE Transactions on Power Systems, 2016 | 102 | 2016 |
A Distributed Newton Method for Power System State Estimation A Minot, YM Lu, N Ali IEEE Transactions on Power Systems, 0 | 102* | |
Streaming pca and subspace tracking: The missing data case L Balzano, Y Chi, YM Lu Proceedings of the IEEE 106 (8), 1293-1310, 2018 | 97 | 2018 |
Phase transitions of spectral initialization for high-dimensional non-convex estimation YM Lu, G Li Information and Inference: A Journal of the IMA 9 (3), 507-541, 2020 | 93 | 2020 |
Image interpolation using multiscale geometric representations N Mueller, Y Lu, MN Do Computational Imaging V 6498, 89-99, 2007 | 91 | 2007 |
The role of regularization in classification of high-dimensional noisy gaussian mixture F Mignacco, F Krzakala, Y Lu, P Urbani, L Zdeborova International conference on machine learning, 6874-6883, 2020 | 89 | 2020 |
Sampling signals from a union of subspaces YM Lu, MN Do Signal Processing Magazine, IEEE 25 (2), 41-47, 2008 | 84 | 2008 |
Demosaicking by alternating projections: Theory and fast one-step implementation YM Lu, M Karzand, M Vetterli IEEE Transactions on Image Processing 19 (8), 2085-2098, 2010 | 76 | 2010 |