World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
8651
World Ranking
6208
National Ranking
821

Overview

Yue M. Lu is affiliated with Beijing University of Posts and Telecommunications in China. Their research spans several fields, primarily within computer science and mathematics, with a focus on topics related to high-dimensional learning, random matrices, and computational techniques.

Their publication record includes work in prominent venues such as arXiv (Cornell University), IEEE Transactions on Information Theory, Journal of Statistical Mechanics Theory and Experiment, SSRN Electronic Journal, and Journal of Separation Science.

Frequent coauthors collaborating with Yue M. Lu include Florent Krząkała, Lenka Zdeborová, Hong Hu, Rishabh Dudeja, and Subhabrata Sen.

Their main fields of study encompass:

  • Computer Science
  • Mathematics

Within these fields, they have contributed notably to subfields including:

  • Artificial Intelligence
  • Statistics and Probability
  • Computational Mechanics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Yue M. Lu's research topics cover a range of areas such as:

  • Sparse and Compressive Sensing Techniques
  • Random Matrices and Applications
  • Markov Chains and Monte Carlo Methods
  • Stochastic Gradient Optimization Techniques
  • Theoretical and Computational Physics
  • Neural Networks and Applications
  • Machine Learning and ELM

Some of their recent papers include:

  • "Universality Laws for High-Dimensional Learning With Random Features," 2022, IEEE Transactions on Information Theory
  • "Preparation of hydrophilic molecularly imprinted solid-phase microextraction fiber for the selective removal and extraction of trace tetracyclines residues in animal derived foods," 2020, Journal of Separation Science
  • "The role of regularization in classification of high-dimensional noisy Gaussian mixture," 2020, arXiv (Cornell University)
  • "Universality of approximate message passing with semirandom matrices," 2023, The Annals of Probability
  • "Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization," 2020, arXiv (Cornell University)

Best Publications

  • Supervised and Traditional Term Weighting Methods for Automatic Text Categorization

    Man Lan;Chew Lim Tan;Jian Su;Yue Lu

  • An Algorithm for License Plate Recognition Applied to Intelligent Transportation System

    Ying Wen;Yue Lu;Jingqi Yan;Zhenyu Zhou

  • Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview

    Yuejie Chi;Yue M. Lu;Yuxin Chen

  • A Theory for Sampling Signals From a Union of Subspaces

    Y.M. Lu;M.N. Do

  • Acoustic echoes reveal room shape

    Ivan Dokmanić;Reza Parhizkar;Andreas Walther;Yue M. Lu

  • Multidimensional Directional Filter Banks and Surfacelets

    Y.M. Lu;M.N. Do

  • A New Contourlet Transform with Sharp Frequency Localization

    Y. Lu;M. N. Do

  • A Spectral Graph Uncertainty Principle

    A. Agaskar;Y. M. Lu

  • Multilingual scene character recognition with co-occurrence of histogram of oriented gradients

    Shangxuan Tian;Ujjwal Bhattacharya;Shijian Lu;Bolan Su

  • Handwritten Bangla numeral recognition system and its application to postal automation

    Ying Wen;Yue Lu;Pengfei Shi

  • A nearest-neighbor chain based approach to skew estimation in document images

    Yue Lu;Chew Lim Tan

  • Bits From Photons: Oversampled Image Acquisition Using Binary Poisson Statistics

    Feng Yang;Y. M. Lu;L. Sbaiz;M. Vetterli

  • Bangla/English script identification based on analysis of connected component profiles

    Lijun Zhou;Yue Lu;Chew Lim Tan

  • DG-Font: Deformable Generative Networks for Unsupervised Font Generation

    Yangchen Xie;Xinyuan Chen;Li Sun;Yue Lu

  • Can one hear the shape of a room: The 2-D polygonal case

    Ivan Dokmanic;Yue M. Lu;Martin Vetterli

  • An approach to word image matching based on weighted Hausdorff distance

    Yue Lu;Chew Lim Tan;Weihua Huang;Liying Fan

  • Designing color filter arrays for the joint capture of visible and near-infrared images

    Yue M. Lu;Clement Fredembach;Martin Vetterli;Sabine Susstrunk

  • A Distributed Gauss-Newton Method for Power System State Estimation

    Ariana Minot;Yue M. Lu;Na Li

  • Monte Carlo non-local means: random sampling for large-scale image filtering.

    Stanley H. Chan;Todd E. Zickler;Yue M. Lu

  • Streaming PCA and Subspace Tracking: The Missing Data Case

    Laura Balzano;Yuejie Chi;Yue M. Lu

  • Image interpolation using multiscale geometric representations

    Nickolaus Mueller;Yue M. Lu;Minh N. Do

  • CRISP contourlets: a critically sampled directional multiresolution image representation

    Yue Lu;Minh N. Do

  • Universality Laws for High-Dimensional Learning with Random Features.

    Hong Hu;Yue M. Lu

Frequent Co-Authors

Martin Vetterli
Martin Vetterli École Polytechnique Fédérale de Lausanne
Chew Lim Tan
Chew Lim Tan National University of Singapore
Minh N. Do
Minh N. Do University of Illinois at Urbana-Champaign
Sabine Süsstrunk
Sabine Süsstrunk École Polytechnique Fédérale de Lausanne
Ching Y. Suen
Ching Y. Suen Concordia University
Pier Luigi Dragotti
Pier Luigi Dragotti Imperial College London
Todd Zickler
Todd Zickler Harvard University
Shiliang Sun
Shiliang Sun East China Normal University
Lenka Zdeborová
Lenka Zdeborová École Polytechnique Fédérale de Lausanne
Florent Krzakala
Florent Krzakala École Polytechnique Fédérale de Lausanne

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