D-Index & Metrics Best Publications

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 35 Citations 6,074 201 World Ranking 5872 National Ranking 559

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Algorithm

His primary areas of investigation include Algorithm, Iterative method, Artificial intelligence, Sampling and Computer vision. His Algorithm research is multidisciplinary, incorporating elements of Signal reconstruction, Signal processing, Filter, Iterative reconstruction and Autocorrelation. His research integrates issues of Robust principal component analysis, Fixed point and Maxima and minima in his study of Iterative method.

Yue M. Lu has researched Artificial intelligence in several fields, including Filter bank and Bilinear interpolation. His Sampling study combines topics from a wide range of disciplines, such as Mathematical optimization, Linear subspace and Oversampling. His research in Computer vision intersects with topics in Nearest-neighbor interpolation, Stairstep interpolation and Linear interpolation.

His most cited work include:

  • A Theory for Sampling Signals From a Union of Subspaces (280 citations)
  • Multidimensional Directional Filter Banks and Surfacelets (182 citations)
  • Acoustic echoes reveal room shape (163 citations)

What are the main themes of his work throughout his whole career to date?

Yue M. Lu focuses on Algorithm, Artificial intelligence, Mathematical optimization, Applied mathematics and Computer vision. His work deals with themes such as Sampling, Phase retrieval, Fourier transform and Iterative reconstruction, which intersect with Algorithm. His studies in Artificial intelligence integrate themes in fields like Computer graphics and Pattern recognition.

His work in the fields of Mathematical optimization, such as Iterative method, intersects with other areas such as Electric power system. His study in Applied mathematics is interdisciplinary in nature, drawing from both Dimension, Regularization, Sequence and Limit. The Computer vision study combines topics in areas such as Color filter array and Near-infrared spectroscopy.

He most often published in these fields:

  • Algorithm (42.37%)
  • Artificial intelligence (22.60%)
  • Mathematical optimization (20.34%)

What were the highlights of his more recent work (between 2019-2021)?

  • Applied mathematics (16.38%)
  • Regularization (7.34%)
  • Limit (13.56%)

In recent papers he was focusing on the following fields of study:

Yue M. Lu spends much of his time researching Applied mathematics, Regularization, Limit, Dimension and Generalization. Yue M. Lu undertakes interdisciplinary study in the fields of Applied mathematics and Universality through his works. Yue M. Lu interconnects Artificial neural network, Perceptron, Asymptotic analysis and Convex optimization, Regular polygon in the investigation of issues within Regularization.

His Regular polygon research incorporates elements of Function, Feature, Activation function and Interpolation. He combines subjects such as Computational complexity theory, Spectral gap, Phase retrieval, Hypersphere and Uniform distribution with his study of Limit. He connects Phase retrieval with Generative model in his research.

Between 2019 and 2021, his most popular works were:

  • Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation (35 citations)
  • Universality Laws for High-Dimensional Learning with Random Features. (13 citations)
  • A Precise Performance Analysis of Learning with Random Features. (13 citations)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Supervised and Traditional Term Weighting Methods for Automatic Text Categorization

Man Lan;Chew Lim Tan;Jian Su;Yue Lu.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2009)

654 Citations

An Algorithm for License Plate Recognition Applied to Intelligent Transportation System

Ying Wen;Yue Lu;Jingqi Yan;Zhenyu Zhou.
IEEE Transactions on Intelligent Transportation Systems (2011)

352 Citations

A Theory for Sampling Signals From a Union of Subspaces

Y.M. Lu;M.N. Do.
IEEE Transactions on Signal Processing (2008)

306 Citations

Multidimensional Directional Filter Banks and Surfacelets

Y.M. Lu;M.N. Do.
IEEE Transactions on Image Processing (2007)

278 Citations

Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview

Yuejie Chi;Yue M. Lu;Yuxin Chen.
IEEE Transactions on Signal Processing (2019)

239 Citations

A New Contourlet Transform with Sharp Frequency Localization

Y. Lu;M. N. Do.
international conference on image processing (2006)

238 Citations

Acoustic echoes reveal room shape

Ivan Dokmanić;Reza Parhizkar;Andreas Walther;Yue M. Lu.
Proceedings of the National Academy of Sciences of the United States of America (2013)

236 Citations

A Spectral Graph Uncertainty Principle

A. Agaskar;Y. M. Lu.
IEEE Transactions on Information Theory (2013)

165 Citations

CRISP contourlets: a critically sampled directional multiresolution image representation

Yue Lu;Minh N. Do.
Proceedings of SPIE - The International Society for Optical Engineering (2003)

155 Citations

Cytokines and Behcet's disease.

Z.Y. Zhou;S.L. Chen;N. Shen;N. Shen;N. Shen;Y. Lu.
Autoimmunity Reviews (2012)

143 Citations

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