フォロー
Yue M. Lu
Yue M. Lu
Gordon McKay Professor of Electrical Engineering and of Applied Mathematics, Harvard University
確認したメール アドレス: seas.harvard.edu - ホームページ
タイトル
引用先
引用先
年
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
5272019
A theory for sampling signals from a union of subspaces
YM Lu, MN Do
IEEE transactions on signal processing 56 (6), 2334-2345, 2008
3392008
Acoustic Echoes Reveal Room Shape
I Dokmanic, R Parhizkar, A Walther, YM Lu, M Vetterli
Proceedings of the National Academy of Sciences, 2013
3212013
Multidimensional directional filter banks and surfacelets
YM Lu, MN Do
IEEE Transactions on Image Processing 16 (4), 918-931, 2007
2942007
A new contourlet transform with sharp frequency localization
Y Lu, MN Do
2006 International Conference on Image Processing, 1629-1632, 2006
2502006
A spectral graph uncertainty principle
A Agaskar, YM Lu
IEEE Transactions on Information Theory, 2013
2062013
Universality laws for high-dimensional learning with random features
H Hu, YM Lu
IEEE Transactions on Information Theory 69 (3), 1932-1964, 2022
1792022
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
1602003
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
1422011
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
1242011
Streaming PCA and subspace tracking: The missing data case
L Balzano, Y Chi, YM Lu
Proceedings of the IEEE 106 (8), 1293-1310, 2018
1102018
A Distributed Gauss-Newton Method for Power System State Estimation
A Minot, YM Lu, N Li
IEEE Transactions on Power Systems, 2016
1082016
A Distributed Newton Method for Power System State Estimation
A Minot, YM Lu, N Ali
IEEE Transactions on Power Systems, 0
108*
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
1072014
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
1062009
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
1052020
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
992020
Image interpolation using multiscale geometric representations
N Mueller, Y Lu, MN Do
Computational Imaging V 6498, 89-99, 2007
942007
Optimal spectral initialization for signal recovery with applications to phase retrieval
W Luo, W Alghamdi, YM Lu
IEEE Transactions on Signal Processing 67 (9), 2347-2356, 2019
902019
Sampling signals from a union of subspaces
YM Lu, MN Do
Signal Processing Magazine, IEEE 25 (2), 41-47, 2008
852008
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