Weiyu Xu

Orcid: 0000-0003-4256-6072

According to our database1, Weiyu Xu authored at least 135 papers between 2003 and 2024.

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Bibliography

2024
Towards unlocking the mystery of adversarial fragility of neural networks.
CoRR, 2024

Camouflage Adversarial Attacks on Multiple Agent Systems.
Proceedings of the IEEE International Symposium on Information Theory, 2024

Tree Network Design for Faster Distributed Machine Learning Process with Distributed Dual Coordinate Ascent.
Proceedings of the IEEE International Conference on Acoustics, 2024

Linear Progressive Coding for Semantic Communication using Deep Neural Networks.
Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

Optimal Cost Constrained Adversarial Attacks for Multiple Agent Systems.
Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023
gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation.
CoRR, 2023

Outlier Detection Using Generative Models with Theoretical Performance Guarantees.
CoRR, 2023

To AI or not to AI, to Buy Local or not to Buy Local: A Mathematical Theory of Real Price.
CoRR, 2023

Distributed Dual Coordinate Ascent With Imbalanced Data on a General Tree Network.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Optimal Compression for Minimizing Classification Error Probability: An Information-Theoretic Approach.
Proceedings of the IEEE International Conference on Acoustics, 2023

Outlier Detection for Generative Models with Performance Guarantees.
Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

Trust, but Verify: Robust Image Segmentation using Deep Learning.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

Error Correction Codes for Testing Chemical/Biological Agents: Using Pooled Testing to Increase Test Reliability.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Use of compressed sensing to expedite high-throughput diagnostic testing for COVID-19 and beyond.
PLoS Comput. Biol., October, 2022

A deep learning network with differentiable dynamic programming for retina OCT surface segmentation.
CoRR, 2022

Formal Verification and Analysis of Time-Sensitive Software-Defined Network Architecture.
Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering, 2022

2021
Distributed Dual Coordinate Ascent in General Tree Networks and Communication Network Effect on Synchronous Machine Learning.
IEEE J. Sel. Areas Commun., 2021

Channel Reciprocity in FDD Multiuser MIMO Systems by Super-resolution.
Proceedings of the ICC 2021, 2021

2020
Necessary and Sufficient Null Space Condition for Nuclear Norm Minimization in Low-Rank Matrix Recovery.
IEEE Trans. Inf. Theory, 2020

Correction to "Optimal Joint Channel Estimation and Data Detection for Massive SIMO Wireless Systems: A Polynomial Complexity Solution".
IEEE Trans. Inf. Theory, 2020

Optimal Joint Channel Estimation and Data Detection for Massive SIMO Wireless Systems: A Polynomial Complexity Solution.
IEEE Trans. Inf. Theory, 2020

Projected Wirtinger Gradient Descent for Digital Waves Reconstruction.
Traitement du Signal, 2020

Optimal Pooling Matrix Design for Group Testing with Dilution (Row Degree) Constraints.
CoRR, 2020

Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning.
CoRR, 2020

Low-Cost and High-Throughput Testing of COVID-19 Viruses and Antibodies via Compressed Sensing: System Concepts and Computational Experiments.
CoRR, 2020

Do Deep Minds Think Alike? Selective Adversarial Attacks for Fine-Grained Manipulation of Multiple Deep Neural Networks.
CoRR, 2020

2019
Trust but Verify: An Information-Theoretic Explanation for the Adversarial Fragility of Machine Learning Systems, and a General Defense against Adversarial Attacks.
CoRR, 2019

An Information-Theoretic Explanation for the Adversarial Fragility of AI Classifiers.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Generalized Distributed Dual Coordinate Ascent in a Tree Network for Machine Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

Fast Single Image Reflection Suppression via Convex Optimization.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Symbol Error Rate Performance of Box-Relaxation Decoders in Massive MIMO.
IEEE Trans. Signal Process., 2018

Computable performance guarantees for compressed sensing matrices.
EURASIP J. Adv. Signal Process., 2018

How did Donald Trump Surprisingly Win the 2016 United States Presidential Election? an Information-Theoretic Perspective (Clean Sensing for Big Data Analytics: Optimal Strategies, Estimation Error Bounds Tighter than the Cramér-Rao Bound).
CoRR, 2018

Outlier Detection using Generative Models with Theoretical Performance Guarantees.
CoRR, 2018

The Performance Of Box-Relaxation Decoding In Massive MIMO With Low-Resolution ADCS.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Sep]ration-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Mse-Optimal 1-Bit Precoding for Multiuser Mimo Via Branch and Bound.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Communication efficient distributed learning with feature partitioned data.
Proceedings of the 52nd Annual Conference on Information Sciences and Systems, 2018

2017
Separation-Free Super-Resolution from Compressed Measurements is Possible: an Orthonormal Atomic Norm Minimization Approach.
CoRR, 2017

Network Constrained Distributed Dual Coordinate Ascent for Machine Learning.
CoRR, 2017

Identifying correlated components in high-dimensional multivariate Gaussian models.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Phaseless super-resolution in the continuous domain.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Large scale 2D spectral compressed sensing in continuous domain.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Quickest Sequential Multiband Spectrum Sensing With Mixed Observations.
IEEE Trans. Signal Process., 2016

Distributed Channel Estimation and Pilot Contamination Analysis for Massive MIMO-OFDM Systems.
IEEE Trans. Commun., 2016

Compressed Hypothesis Testing: To Mix or Not to Mix?
CoRR, 2016

New Algorithms for Verifying the Null Space Condition in Compressed Sensing.
CoRR, 2016

Efficient optimal joint channel estimation and data detection for massive MIMO systems.
Proceedings of the IEEE International Symposium on Information Theory, 2016

Precise phase transition of total variation minimization.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Ber analysis of the box relaxation for BPSK signal recovery.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Fast alternating projected gradient descent algorithms for recovering spectrally sparse signals.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Spectral Super-Resolution With Prior Knowledge.
IEEE Trans. Signal Process., 2015

Sparse Recovery With Graph Constraints.
IEEE Trans. Inf. Theory, 2015

Improving the Thresholds of Sparse Recovery: An Analysis of a Two-Step Reweighted Basis Pursuit Algorithm.
IEEE Trans. Inf. Theory, 2015

Block Iterative Reweighted Algorithms for Super-Resolution of Spectrally Sparse Signals.
IEEE Signal Process. Lett., 2015

Robust recovery of complex exponential signals from random Gaussian projections via low rank Hankel matrix reconstruction.
CoRR, 2015

Projected Wirtinger Gradient Descent for Low-Rank Hankel Matrix Completion in Spectral Compressed Sensing.
CoRR, 2015

Optimal Non-coherent Data Detection for Massive SIMO Wireless Systems with General Constellations: A Polynomial Complexity Solution.
CoRR, 2015

Detection of correlated components in multivariate Gaussian models.
Proceedings of the 2015 IEEE Information Theory Workshop, 2015

Optimal non-coherent data detection for massive SIMO wireless systems: A polynomial complexity solution.
Proceedings of the IEEE Signal Processing and Signal Processing Education Workshop, 2015

2014
Optimized Markov Chain Monte Carlo for Signal Detection in MIMO Systems: An Analysis of the Stationary Distribution and Mixing Time.
IEEE Trans. Signal Process., 2014

System identification in the presence of outliers and random noises: A compressed sensing approach.
Autom., 2014

Kernel based approaches to local nonlinear non-parametric variable selection.
Autom., 2014

Precise semidefinite programming formulation of atomic norm minimization for recovering d-dimensional (D ≥ 2) off-the-grid frequencies.
Proceedings of the 2014 Information Theory and Applications Workshop, 2014

Off-the-grid spectral compressed sensing with prior information.
Proceedings of the IEEE International Conference on Acoustics, 2014

A distributed control law for optimum sensor placement for source localization.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

Super-resolution line spectrum estimation with block priors.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

Maximum-likelihood joint channel estimation and data detection for space time block coded MIMO systems.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Sparse Error Correction From Nonlinear Measurements With Applications in Bad Data Detection for Power Networks.
IEEE Trans. Signal Process., 2013

Precise Semidefinite Programming Formulation of Atomic Norm Minimization for Recovering d-Dimensional ($d\geq 2$) Off-the-Grid Frequencies.
CoRR, 2013

Universally Elevating the Phase Transition Performance of Compressed Sensing: Non-Isometric Matrices are Not Necessarily Bad Matrices.
CoRR, 2013

Quickest Search over Multiple Sequences with Mixed Observation.
CoRR, 2013

Precisely Verifying the Null Space Conditions in Compressed Sensing: A Sandwiching Algorithm.
CoRR, 2013

Quickest search over multiple sequences with mixed observations.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Toeplitz matrix based sparse error correction in system identification: Outliers and random noises.
Proceedings of the IEEE International Conference on Acoustics, 2013

Compressed sensing with corrupted participants.
Proceedings of the IEEE International Conference on Acoustics, 2013

Matrix design for optimal sensing.
Proceedings of the IEEE International Conference on Acoustics, 2013

Local variable selection and dimension determination of nonlinear non-parametric systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

Compressed hypothesis testing: To mix or not to mix?
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Guarantees of total variation minimization for signal recovery.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

New algorithms for verifying the null space conditions in compressed sensing.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Low-Complexity Blind Equalization for OFDM Systems With General Constellations.
IEEE Trans. Signal Process., 2012

Accuracy of the Morphology Enabled Dipole Inversion (MEDI) Algorithm for Quantitative Susceptibility Mapping in MRI.
IEEE Trans. Medical Imaging, 2012

Toeplitz Matrix Based Sparse Error Correction in System Identification
CoRR, 2012

Sensing with Optimal Matrices
CoRR, 2012

Sparse recovery with graph constraints: Fundamental limits and measurement construction.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

On the mixing time of Markov Chain Monte Carlo for integer least-square problems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Fundamental thresholds in compressed sensing: a high-dimensional geometry approach.
Proceedings of the Compressed Sensing, 2012

2011
A Unique "Nonnegative" Solution to an Underdetermined System: From Vectors to Matrices.
IEEE Trans. Signal Process., 2011

Analyzing Weighted <sub>1</sub> Minimization for Sparse Recovery With Nonuniform Sparse Models.
IEEE Trans. Signal Process., 2011

Sparse Recovery of Nonnegative Signals With Minimal Expansion.
IEEE Trans. Signal Process., 2011

Cost of Not Splitting in Routing: Characterization and Estimation.
IEEE/ACM Trans. Netw., 2011

Precise Stability Phase Transitions for <sub>1</sub> Minimization: A Unified Geometric Framework.
IEEE Trans. Inf. Theory, 2011

On the Performance of Sparse Recovery Via l<sub>p</sub>-Minimization (0 <= p <= 1).
IEEE Trans. Inf. Theory, 2011

Null space conditions and thresholds for rank minimization.
Math. Program., 2011

Sparse Recovery from Nonlinear Measurements with Applications in Bad Data Detection for Power Networks
CoRR, 2011

Compressive sensing over graphs.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

On the scaling law for compressive sensing and its applications.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

On state estimation with bad data detection.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Recent results on sparse recovery over graphs.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
On the Performance of Sparse Recovery via L_p-minimization (0<=p <=1)
CoRR, 2010

A Generalized Coupon Collector Problem
CoRR, 2010

Analyzing Weighted ℓ<sub>1</sub> Minimization for Sparse Recovery with Nonuniform Sparse Models
CoRR, 2010

Compressive Sensing over the Grassmann Manifold: a Unified Geometric Framework
CoRR, 2010

Improved Sparse Recovery Thresholds with Two-Step Reweighted ℓ<sub>1</sub> Minimization
CoRR, 2010

On the dynamics of ℓ1 decoding: A microscopic approach.
Proceedings of the IEEE International Symposium on Information Theory, 2010

On the uniqueness of positive semidefinite matrix solution under compressed observations.
Proceedings of the IEEE International Symposium on Information Theory, 2010

The limits of error correction with lp decoding.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Improved sparse recovery thresholds with two-step reweighted ℓ1 minimization.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Breaking through the thresholds: an analysis for iterative reweighted <i>l</i>1 minimization via the Grassmann angle framework.
Proceedings of the IEEE International Conference on Acoustics, 2010

Compressive sensing over graphs: How many measurements are needed?
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Efficient and robust compressed sensing using optimized expander graphs.
IEEE Trans. Inf. Theory, 2009

Breaking through the Thresholds: an Analysis for Iterative Reweighted ℓ<sub>1</sub> Minimization via the Grassmann Angle Framework
CoRR, 2009

Sparse Recovery of Positive Signals with Minimal Expansion
CoRR, 2009

Weighted ℓ<sub>1</sub> Minimization for Sparse Recovery with Prior Information
CoRR, 2009

On sharp performance bounds for robust sparse signal recoveries.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Weighted ℓ1 minimization for sparse recovery with prior information.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Near-Optimal Detection in MIMO Systems Using Gibbs Sampling.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

Breaking the ℓ1 recovery thresholds with reweighted ℓ1 optimization.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Efficient and Robust Compressed Sensing using High-Quality Expander Graphs
CoRR, 2008

ON exact maximum-likelihood detection for non-coherent MIMO wireless systems: A branch-estimate-bound optimization framework.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Compressed sensing of approximately sparse signals.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Low-complexity blind maximum-likelihood detection for SIMO systems with general constellations.
Proceedings of the IEEE International Conference on Acoustics, 2008

Compressed sensing - probabilistic analysis of a null-space characterization.
Proceedings of the IEEE International Conference on Acoustics, 2008

Optimizing Near-ML MIMO Detector for SDR Baseband on Parallel Programmable Architectures.
Proceedings of the Design, Automation and Test in Europe, 2008

Necessary and sufficient conditions for success of the nuclear norm heuristic for rank minimization.
Proceedings of the 47th IEEE Conference on Decision and Control, 2008

Compressed sensing over the Grassmann manifold: A unified analytical framework.
Proceedings of the 46th Annual Allerton Conference on Communication, 2008

2007
On the Complexity of Exact Maximum-Likelihood Decoding for Asymptotically Good Low Density Parity Check Codes
CoRR, 2007

A Local Tree Structure is NOT Sufficient for the Local Optimality of Message-Passing Decoding in Low Density Parity Check Codes
CoRR, 2007

2004
A fast exact ML sphere decoder with efficient two-layer enumeration.
Proceedings of the 60th IEEE Vehicular Technology Conference, 2004

An efficient tree search algorithm for optimal detection of MIMO signals with channel estimation errors.
Proceedings of the 60th IEEE Vehicular Technology Conference, 2004

Receiver design of MIMO systems in a mixture of Gaussian noise and impulsive noise.
Proceedings of the 60th IEEE Vehicular Technology Conference, 2004

Performance Analysis and Receiver Design for SDMA-Based Wireless Networks in Impulsive Noise.
Proceedings of the Personal Wireless Communications, IFIP TC6 9th International Conference, 2004

A computationally efficient exact ML sphere decoder.
Proceedings of the Global Telecommunications Conference, 2004. GLOBECOM '04, Dallas, Texas, USA, 29 November, 2004

2003
A power efficient M-ary orthogonal pulse polarity modulation for TH-UWB system using modified OVSF codes.
Proceedings of the Global Telecommunications Conference, 2003


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