Wei Dai

Orcid: 0000-0002-4781-3485

Affiliations:
  • Imperial College London, Department of Electrical and Electronic Engineering, UK
  • University of Illinois at Urbana-Champaign, Department of Electrical and Computer Engineering, IL, USA (2007 - 2010)
  • University of Colorado at Boulder, Department of Electrical and Computer Engineering, CO, USA (PhD 2007)


According to our database1, Wei Dai authored at least 99 papers between 2005 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Passive Joint Emitter Localization with Sensor Self-Calibration.
Remote. Sens., February, 2023

Structured Errors-in-Variables Modelling for Cortico-Muscular Coherence Enhancement.
Proceedings of the IEEE International Conference on Acoustics, 2023

SS-ADMM: Stationary and Sparse Granger Causal Discovery for Cortico-Muscular Coupling.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Blind Two-Dimensional Super-Resolution and Its Performance Guarantee.
IEEE Trans. Signal Process., 2022

Unconstrained Proximal Operator: the Optimal Parameter for the Douglas-Rachford Type Primal-Dual Methods.
CoRR, 2022

Short-and-Sparse Deconvolution Via Rank-One Constrained Optimization (Roco).
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Mathematical Theory of Atomic Norm Denoising in Blind Two-Dimensional Super-Resolution.
IEEE Trans. Signal Process., 2021

Deep phase retrieval: Analyzing over-parameterization in phase retrieval.
Signal Process., 2021

Dictionary Learning Using Rank-One Atomic Decomposition (ROAD).
CoRR, 2021

Dictionary Learning with Convex Update (ROMD).
CoRR, 2021

Multi-target Detection by Distributed Passive Radar Systems without Reference Signals.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2021

Fast and Robust ADMM for Blind Super-Resolution.
Proceedings of the IEEE International Conference on Acoustics, 2021

MuG: A Multipath-Exploited and Grid-Free Localisation Method.
Proceedings of the IEEE International Conference on Acoustics, 2021

Dictionary Learning Strategies for Cortico-Muscular Coherence Detection and Estimation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
NLOS Effect Mitigation via Spatial Geometry Exploitation in Cooperative Localization.
IEEE Trans. Wirel. Commun., 2020

Dictionary Learning With BLOTLESS Update.
IEEE Trans. Signal Process., 2020

Mathematical Theory of Atomic Norm Denoising In Blind Two-Dimensional Super-Resolution (Extended Version).
CoRR, 2020

Atomic Norm Denoising In Blind Two-Dimensional Super-Resolution.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Dictionary Learning Using Rank-One Projection.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
Optimal Number of Measurements in a Linear System With Quadratically Decreasing SNR.
IEEE Trans. Signal Process., 2019

Exploiting NLOS Bias Correlation in Cooperative Localization.
Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019

Bilinear Dictionary Update via Linear Least Squares.
Proceedings of the IEEE International Conference on Acoustics, 2019

Blind Super-resolution in Two-dimensional Parameter Space.
Proceedings of the IEEE International Conference on Acoustics, 2019

Exact Three-Dimensional Estimation in Blind Super-Resolution via Convex Optimization.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019

2018
A Tight Converse to the Spectral Resolution Limit via Convex Programming.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Cortico-Muscular Coherence Enhancement Via Sparse Signal Representation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Group Sparse Bayesian Learning Via Exact and Fast Marginal Likelihood Maximization.
IEEE Trans. Signal Process., 2017

Low dimensional atomic norm representations in line spectral estimation.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Optimal number of measurements for compressed sensing with quadratically decreasing SNR.
Proceedings of the 25th European Signal Processing Conference, 2017

Sampling patterns for off-the-grid spectral estimation.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Exploiting Burst-Sparsity in Massive MIMO With Partial Channel Support Information.
IEEE Trans. Wirel. Commun., 2016

Analysis SimCO Algorithms for Sparse Analysis Model Based Dictionary Learning.
IEEE Trans. Signal Process., 2016

Structured Compressive Sensing-Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO.
IEEE Trans. Commun., 2016

Spectrally Efficient CSI Acquisition for Power Line Communications: A Bayesian Compressive Sensing Perspective.
IEEE J. Sel. Areas Commun., 2016

On Super-Resolution in Multirate Sampling Systems.
CoRR, 2016

Achieving super-resolution in multi-rate sampling systems via efficient semidefinite programming.
Proceedings of the 2016 IEEE Information Theory Workshop, 2016

Off-grid compressed sensing for WiFi-based passive radar.
Proceedings of the 2016 IEEE International Symposium on Signal Processing and Information Technology, 2016

Extended AMP algorithm for correlated distributed compressed sensing model.
Proceedings of the 2016 IEEE International Conference on Digital Signal Processing, 2016

Joint burst LASSO for sparse channel estimation in multi-user massive MIMO.
Proceedings of the 2016 IEEE International Conference on Communications, 2016

Independent versus repeated measurements: A performance quantification via state evolution.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

An approximate message passing algorithm for robust face recognition.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Convergence of Gradient Descent for Low-Rank Matrix Approximation.
IEEE Trans. Inf. Theory, 2015

Time-Frequency Joint Sparse Channel Estimation for MIMO-OFDM Systems.
IEEE Commun. Lett., 2015

Fast variational Bayesian learning for channel estimation with prior statistical information.
Proceedings of the 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2015

Tracking a dynamic sparse channel via differential orthogonal matching pursuit.
Proceedings of the 34th IEEE Military Communications Conference, 2015

On joint recovery of sparse signals with common supports.
Proceedings of the IEEE International Symposium on Information Theory, 2015

On recovery of sparse signals with block structures.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Block compressive channel estimation and feedback for FDD massive MIMO.
Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015

Sparse channel state information acquisition for power line communications.
Proceedings of the 2015 IEEE International Conference on Communications, 2015

Structured Matching Pursuit for Reconstruction of Dynamic Sparse Channels.
Proceedings of the 2015 IEEE Global Communications Conference, 2015

Improved AMP (IAMP) for non-ideal measurement matrices.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Power allocation in compressed sensing of non-uniformly sparse signals.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

A fast variational approach for Bayesian compressive sensing with informative priors.
Proceedings of the IEEE International Conference on Acoustics, 2014

Analysis SimCO: A new algorithm for analysis dictionary learning.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Observability of a Linear System Under Sparsity Constraints.
IEEE Trans. Autom. Control., 2013

Sparse coding with adaptive dictionary learning for underdetermined blind speech separation.
Speech Commun., 2013

Joint image separation and dictionary learning.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Tracking dynamic sparse signals with hierarchical Kalman filters: A case study.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Smoothed SimCO for dictionary learning: Handling the singularity issue.
Proceedings of the IEEE International Conference on Acoustics, 2013

Tracking dynamic sparse signals using Hierarchical Bayesian Kalman filters.
Proceedings of the IEEE International Conference on Acoustics, 2013

Hierarchical Bayesian Kalman filters for wireless sensor networks.
Proceedings of the 21st European Signal Processing Conference, 2013

Compressive and non-compressive reliable wideband spectrum sensing at sub-Nyquist rates.
Proceedings of the 21st European Signal Processing Conference, 2013

Bayesian compressed sensing: Improving inference.
Proceedings of the 2013 IEEE China Summit and International Conference on Signal and Information Processing, 2013

Model-based compressive Harmonic-Aware Matching Pursuit: An evaluation.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Simultaneous Codeword Optimization (SimCO) for Dictionary Update and Learning.
IEEE Trans. Signal Process., 2012

A Geometric Approach to Low-Rank Matrix Completion.
IEEE Trans. Inf. Theory, 2012

Structured sublinear compressive sensing via belief propagation.
Phys. Commun., 2012

Technical Report: Observability of a Linear System under Sparsity Constraints
CoRR, 2012

Dictionary learning and update based on simultaneous codeword optimization (SimCO).
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Low rank matrix completion: A smoothed l0-search.
Proceedings of the 50th Annual Allerton Conference on Communication, 2012

2011
Subspace Evolution and Transfer (SET) for Low-Rank Matrix Completion.
IEEE Trans. Signal Process., 2011

Information Theoretical and Algorithmic Approaches to Quantized Compressive Sensing.
IEEE Trans. Commun., 2011

Structured sublinear compressive sensing via dense belief propagation
CoRR, 2011

Low-rank matrix completion with geometric performance guarantees.
Proceedings of the IEEE International Conference on Acoustics, 2011

Simultaneous codeword optimization (SimCO) for dictionary learning.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Compressive list-support recovery for colluder identification.
Proceedings of the IEEE International Conference on Acoustics, 2010

SET: An algorithm for consistent matrix completion.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Joint beamforming for multiaccess MIMO systems with finite rate feedback.
IEEE Trans. Wirel. Commun., 2009

Subspace pursuit for compressive sensing signal reconstruction.
IEEE Trans. Inf. Theory, 2009

Weighted superimposed codes and constrained integer compressed sensing.
IEEE Trans. Inf. Theory, 2009

On the information rate of MIMO systems with finite rate channel state feedback using beamforming and power on/off strategy.
IEEE Trans. Inf. Theory, 2009

The effect of finite rate feedback on CDMA signature optimization and MIMO beamforming vector selection.
IEEE Trans. Inf. Theory, 2009

Compressive Sensing DNA Microarrays.
EURASIP J. Bioinform. Syst. Biol., 2009

Distortion-rate functions for quantized compressive sensing.
Proceedings of the 2009 IEEE Information Theory Workshop, 2009

Sublinear compressive sensing reconstruction via belief propagation decoding.
Proceedings of the IEEE International Symposium on Information Theory, 2009

A comparative study of quantized compressive sensing schemes.
Proceedings of the IEEE International Symposium on Information Theory, 2009

2008
Quantization Bounds on Grassmann Manifolds and Applications to MIMO Communications.
IEEE Trans. Inf. Theory, 2008

How many users should be turned on in a multi-antenna broadcast channel?
IEEE J. Sel. Areas Commun., 2008

Subspace Pursuit for Compressive Sensing: Closing the Gap Between Performance and Complexity
CoRR, 2008

Weighted Euclidean superimposed codes for integer compressed sensing.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008

Sparse weighted Euclidean superimposed coding for integer compressed sensing.
Proceedings of the 42nd Annual Conference on Information Sciences and Systems, 2008

Probe Design for Compressive Sensing DNA Microarrays.
Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007
Multi-Access MIMO Systems with Finite Rate Channel State Feedback
CoRR, 2007

Unequal dimensional small balls and quantization on Grassmann Manifolds.
Proceedings of the IEEE International Symposium on Information Theory, 2007

Volume Growth and General Rate Quantization on Grassmann Manifolds.
Proceedings of the Global Communications Conference, 2007

How Many Users should be Turned On in a Multi-Antenna Broadcast Channel.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

2006
Performance Analysis of CDMA Signature Optimization with Finite Rate Feedback.
Proceedings of the 40th Annual Conference on Information Sciences and Systems, 2006

2005
On the information rate of MIMO systems with finite rate channel state feedback and power on/off strategy.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

Quantization bounds on Grassmann manifolds of arbitrary dimensions and MIMO communications with feedback.
Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM '05, St. Louis, Missouri, USA, 28 November, 2005


  Loading...