2025
Outlier Detection Using Generative Models With Theoretical Performance Guarantees.
IEEE Trans. Inf. Theory, May, 2025
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
Derivation of Information-Theoretically Optimal Adversarial Attacks with Applications to Robust Machine Learning.
Proceedings of the 58th Asilomar Conference on Signals, 2024
Error Correction Codes for Robust Classification with Neural Networks Under Sparse Noise.
Proceedings of the 58th Asilomar Conference on Signals, 2024
2023
gcDLSeg: Integrating Graph-cut into Deep Learning for Binary Semantic Segmentation.
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
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