Yue M. Lu

Orcid: 0000-0002-5174-2595

According to our database1, Yue M. Lu authored at least 110 papers between 2004 and 2024.

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Bibliography

2024
Spectral Universality in Regularized Linear Regression With Nearly Deterministic Sensing Matrices.
IEEE Trans. Inf. Theory, November, 2024

A Random Matrix Theory Perspective on the Spectrum of Learned Features and Asymptotic Generalization Capabilities.
CoRR, 2024

Asymptotic theory of in-context learning by linear attention.
CoRR, 2024

Asymptotics of Random Feature Regression Beyond the Linear Scaling Regime.
CoRR, 2024

A Convergence Analysis of Approximate Message Passing with Non-Separable Functions and Applications to Multi-Class Classification.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Asymptotics of feature learning in two-layer networks after one gradient-step.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Universality Laws for High-Dimensional Learning With Random Features.
IEEE Trans. Inf. Theory, March, 2023

Keynote Speaker #2 : Exploring and exploiting the universality phenomenon in high-dimensional estimation and learning.
Proceedings of the 12th International Conference on Control, 2023

2022
SLOPE for Sparse Linear Regression: Asymptotics and Optimal Regularization.
IEEE Trans. Inf. Theory, 2022

Sharp Asymptotics of Kernel Ridge Regression Beyond the Linear Regime.
CoRR, 2022

Analysis of Random Sequential Message Passing Algorithms for Approximate Inference.
CoRR, 2022

2021
Householder Dice: A Matrix-Free Algorithm for Simulating Dynamics on Gaussian and Random Orthogonal Ensembles.
IEEE Trans. Inf. Theory, 2021

Phase Transitions in Transfer Learning for High-Dimensional Perceptrons.
Entropy, 2021

Construction of optimal spectral methods in phase retrieval.
Proceedings of the Mathematical and Scientific Machine Learning, 2021

On the Inherent Regularization Effects of Noise Injection During Training.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Preparation of "Ion-Imprinting" Difunctional Magnetic Fluorescent Nanohybrid and Its Application to Detect Cadmium Ions.
Sensors, 2020

The Limiting Poisson Law of Massive MIMO Detection With Box Relaxation.
IEEE J. Sel. Areas Inf. Theory, 2020

A Precise Performance Analysis of Learning with Random Features.
CoRR, 2020

The role of regularization in classification of high-dimensional noisy Gaussian mixture.
CoRR, 2020

Generalization error in high-dimensional perceptrons: Approaching Bayes error with convex optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
MMSE Approximation For Sparse Coding Algorithms Using Stochastic Resonance.
IEEE Trans. Signal Process., 2019

Optimal Spectral Initialization for Signal Recovery With Applications to Phase Retrieval.
IEEE Trans. Signal Process., 2019

Nonconvex Optimization Meets Low-Rank Matrix Factorization: An Overview.
IEEE Trans. Signal Process., 2019

Super Resolution Phase Retrieval for Sparse Signals.
IEEE Trans. Signal Process., 2019

A Solvable High-Dimensional Model of GAN.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Asymptotics and Optimal Designs of SLOPE for Sparse Linear Regression.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Generalized Approximate Survey Propagation for High-Dimensional Estimation.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Sparse Representation in Fourier and Local Bases Using ProSparse: A Probabilistic Analysis.
IEEE Trans. Inf. Theory, 2018

Streaming PCA and Subspace Tracking: The Missing Data Case.
Proc. IEEE, 2018

Subspace Estimation From Incomplete Observations: A High-Dimensional Analysis.
IEEE J. Sel. Top. Signal Process., 2018

Improving Pursuit Algorithms Using Stochastic Resonance.
CoRR, 2018

Phase Retrieval via Polytope Optimization: Geometry, Phase Transitions, and New Algorithms.
CoRR, 2018

Online Power Iteration For Subspace Estimation Under Incomplete Observations: Limiting Dynamics And Phase Transitions.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

2017
Understanding Symmetric Smoothing Filters: A Gaussian Mixture Model Perspective.
IEEE Trans. Image Process., 2017

Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA.
CoRR, 2017

Phase Transitions of Spectral Initialization for High-Dimensional Nonconvex Estimation.
CoRR, 2017

The Scaling Limit of High-Dimensional Online Independent Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Spectral initialization for nonconvex estimation: High-dimensional limit and phase transitions.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Learning optimal parameters for binary sensing image reconstruction algorithms.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Multiprocessor approximate message passing with column-wise partitioning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Fundamental limits of phasemax for phase retrieval: A replica analysis.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Phase retrieval via linear programming: Fundamental limits and algorithmic improvements.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Sampling Sparse Signals on the Sphere: Algorithms and Applications.
IEEE Trans. Signal Process., 2016

Decomposition of Space-Variant Blur in Image Deconvolution.
IEEE Signal Process. Lett., 2016

Kaczmarz Method for Solving Quadratic Equations.
IEEE Signal Process. Lett., 2016

Matched signal detection on graphs: Theory and application to brain imaging data classification.
NeuroImage, 2016

Sparsity according to Prony: Average-Case Performance Analysis and Phase Transition.
CoRR, 2016

Demystifying Symmetric Smoothing Filters.
CoRR, 2016

A parallel primal-dual interior-point method for DC optimal power flow.
Proceedings of the Power Systems Computation Conference, 2016

Online learning for sparse PCA in high dimensions: Exact dynamics and phase transitions.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Prosparse denoise: Prony's based sparse pattern recovery in the presence of noise.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Randomized Kaczmarz Algorithm for Inconsistent Linear Systems: An Exact MSE Analysis.
CoRR, 2015

Optimal Detection of Random Walks on Graphs: Performance Analysis via Statistical Physics.
CoRR, 2015

Understanding symmetric smoothing filters via Gaussian mixtures.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Sparsity pattern recovery using FRI methods.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Sampling spherical finite rate of innovation signals.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multiscale guided deblurring: Chromatic aberration correction in color and near-infrared imaging.
Proceedings of the 23rd European Signal Processing Conference, 2015

Gradient-based correction of chromatic aberration in the joint acquisition of color and near-infrared images.
Proceedings of the Digital Photography XI, 2015

Blind calibration of multi-channel samplers using sparse recovery.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Phase retrieval using iterative projections: Dynamics in the large systems limit.
Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014
On Sparse Representation in Fourier and Local Bases.
IEEE Trans. Inf. Theory, 2014

Monte Carlo Non-Local Means: Random Sampling for Large-Scale Image Filtering.
IEEE Trans. Image Process., 2014

Finite dimensional FRI.
Proceedings of the IEEE International Conference on Acoustics, 2014

Efficient image reconstruction for gigapixel quantum image sensors.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Randomized Kaczmarz algorithms: Exact MSE analysis and optimal sampling probabilities.
Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

Separation of interleaved Markov chains.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Optimal hypothesis testing with combinatorial structure: Detecting random walks on graphs.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
A Spectral Graph Uncertainty Principle.
IEEE Trans. Inf. Theory, 2013

Phase Retrieval for Sparse Signals: Uniqueness Conditions.
CoRR, 2013

A graph theoretical regression model for brain connectivity learning of Alzheimer'S disease.
Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Matched Signal Detection on Graphs: Theory and Application to Brain Network Classification.
Proceedings of the Information Processing in Medical Imaging, 2013

A novel compressive sensing approach to simultaneously acquire color and near-infrared images on a single sensor.
Proceedings of the IEEE International Conference on Acoustics, 2013

Fast non-local filtering by random sampling: It works, especially for large images.
Proceedings of the IEEE International Conference on Acoustics, 2013

Detecting randomwalks hidden in noise: Phase transition on large graphs.
Proceedings of the IEEE International Conference on Acoustics, 2013

A framework for adaptive parameter estimation with finite memory.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

ALARM: A logistic auto-regressive model for binary processes on networks.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Adaptive sensing and inference for single-photon imaging.
Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013

2012
Bits From Photons: Oversampled Image Acquisition Using Binary Poisson Statistics.
IEEE Trans. Image Process., 2012

Multidimensional Filter Banks and Multiscale Geometric Representations.
Found. Trends Signal Process., 2012

Graph-based regularization for color image demosaicking.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Blind estimation and low-rate sampling of sparse mimo systems with common support.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Uncertainty principles for signals defined on graphs: Bounds and characterizations.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Optimum spectral sensitivity functions for single sensor color imaging.
Proceedings of the Digital Photography VIII, 2012

2011
Gigapixel Binary Sensing: Image Acquisition Using Oversampled One-Bit Poisson Statistics
CoRR, 2011

Correlation-based joint acquisition and demosaicing of visible and near-infrared images.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Sampling and reconstructing diffusion fields with localized sources.
Proceedings of the IEEE International Conference on Acoustics, 2011

Sparse spectral factorization: Unicity and reconstruction algorithms.
Proceedings of the IEEE International Conference on Acoustics, 2011

Can one hear the shape of a room: The 2-D polygonal case.
Proceedings of the IEEE International Conference on Acoustics, 2011

Localization of diffusive sources using spatiotemporal measurements.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Distributed sampling of signals linked by sparse filtering: theory and applications.
IEEE Trans. Signal Process., 2010

Demosaicking by Alternating Projections: Theory and Fast One-Step Implementation.
IEEE Trans. Image Process., 2010

Learning sparse systems at sub-Nyquist rates: A frequency-domain approach.
Proceedings of the IEEE International Conference on Acoustics, 2010

An optimal algorithm for reconstructing images from binary measurements.
Proceedings of the Computational Imaging VIII, 2010

2009
A computable fourier condition generating alias-free sampling lattices.
IEEE Trans. Signal Process., 2009

Designing color filter arrays for the joint capture of visible and near-infrared images.
Proceedings of the International Conference on Image Processing, 2009

Distributed sensing of signals linked by sparse filtering.
Proceedings of the IEEE International Conference on Acoustics, 2009

Spatial super-resolution of a diffusion field by temporal oversampling in sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

Optimal color filter array design: quantitative conditions and an efficient search procedure.
Proceedings of the Digital Photography V, 2009

Iterative demosaicking accelerated: theory and fast noniterative implementations.
Proceedings of the Computational Imaging VII, 2009

2008
A Theory for Sampling Signals From a Union of Subspaces.
IEEE Trans. Signal Process., 2008

A Mapping-Based Design for Nonsubsampled Hourglass Filter Banks in Arbitrary Dimensions.
IEEE Trans. Signal Process., 2008

Sampling Signals from a Union of Subspaces.
IEEE Signal Process. Mag., 2008

Assessing the challenges of environmental signal processing through the sensorscope project.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Multidimensional Geometrical Signal Representation: Constructions and Applications
PhD thesis, 2007

Multidimensional Directional Filter Banks and Surfacelets.
IEEE Trans. Image Process., 2007

Finding Optimal Integral Sampling Lattices for a given Frequency Support in Multidimensions.
Proceedings of the International Conference on Image Processing, 2007

Image interpolation using multiscale geometric representations.
Proceedings of the Computational Imaging V, San Jose, 2007

2006
A New Contourlet Transform with Sharp Frequency Localization.
Proceedings of the International Conference on Image Processing, 2006

2005
The finer directional wavelet transform [image processing applications].
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
A geometrical approach to sampling signals with finite rate of innovation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004


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