Xin Yuan

Orcid: 0000-0002-8311-7524

Affiliations:
  • Westlake University, School of Engineering, Hangzhou, China
  • Nokia Bell Labs, Murray Hill, NJ, USA (2015-2021)
  • Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA (2012-2015)
  • Hong Kong Polytechnic University, Hong Kong (PhD 2012)


According to our database1, Xin Yuan authored at least 149 papers between 2011 and 2024.

Collaborative distances:

Timeline

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Bibliography

2024
Degradation-Aware Dynamic Fourier-Based Network for Spectral Compressive Imaging.
IEEE Trans. Multim., 2024

SnapCap: Efficient Snapshot Compressive Video Captioning.
CoRR, 2024

2023
Computational Imaging and Artificial Intelligence: The Next Revolution of Mobile Vision.
Proc. IEEE, December, 2023

Low-Rankness Guided Group Sparse Representation for Image Restoration.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Reinforcement Learning for Adaptive Video Compressive Sensing.
ACM Trans. Intell. Syst. Technol., October, 2023

Multi-scale Iterative Model-guided Unfolding Network for NLOS Reconstruction.
Comput. Graph. Forum, October, 2023

Deep Gaussian Scale Mixture Prior for Image Reconstruction.
IEEE Trans. Pattern Anal. Mach. Intell., September, 2023

Spatial-Temporal Transformer for Video Snapshot Compressive Imaging.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging.
Int. J. Comput. Vis., July, 2023

Nonlocal Structured Sparsity Regularization Modeling for Hyperspectral Image Denoising.
IEEE Trans. Geosci. Remote. Sens., 2023

Universal Domain Adaptation for Remote Sensing Image Scene Classification.
IEEE Trans. Geosci. Remote. Sens., 2023

High Resolution LED-Based Snapshot Compressive Spectral Video Imaging With Deep Neural Networks.
IEEE Trans. Computational Imaging, 2023

Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling.
IEEE Signal Process. Mag., 2023

Recurrent Neural Networks for Snapshot Compressive Imaging.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Deep Unfolding for Snapshot Compressive Imaging.
Int. J. Comput. Vis., 2023

Image Super-Resolution with Text Prompt Diffusion.
CoRR, 2023

Cooperative Hardware-Prompt Learning for Snapshot Compressive Imaging.
CoRR, 2023

Hierarchical Integration Diffusion Model for Realistic Image Deblurring.
CoRR, 2023

Binarized Spectral Compressive Imaging.
CoRR, 2023

Large-scale Global Low-rank Optimization for Computational Compressed Imaging.
CoRR, 2023

SAUNet: Spatial-Attention Unfolding Network for Image Compressive Sensing.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Accurate Image Restoration with Attention Retractable Transformer.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Hyperspectral Image Denoising Via Nonlocal Rank Residual Modeling.
Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Equilibrium Models for Snapshot Compressive Imaging.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Hybrid Structural Sparsification Error Model for Image Restoration.
IEEE Trans. Neural Networks Learn. Syst., 2022

Class-Aware Domain Adaptation for Semantic Segmentation of Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2022

Nonconvex Structural Sparsity Residual Constraint for Image Restoration.
IEEE Trans. Cybern., 2022

Plug-and-Play Algorithms for Video Snapshot Compressive Imaging.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing.
IEEE J. Sel. Top. Signal Process., 2022

S^2-Transformer for Mask-Aware Hyperspectral Image Reconstruction.
CoRR, 2022

Block Modulating Video Compression: An Ultra Low Complexity Image Compression Encoder for Resource Limited Platforms.
CoRR, 2022

Motion-aware Dynamic Graph Neural Network for Video Compressive Sensing.
CoRR, 2022

Deep Equilibrium Models for Video Snapshot Compressive Imaging.
CoRR, 2022

Two-Stage is Enough: A Concise Deep Unfolding Reconstruction Network for Flexible Video Compressive Sensing.
CoRR, 2022

Spectral Compressive Imaging Reconstruction Using Convolution and Spectral Contextual Transformer.
CoRR, 2022

Cross Aggregation Transformer for Image Restoration.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Simultaneous Nonlocal Low-Rank And Deep Priors For Poisson Denoising.
Proceedings of the IEEE International Conference on Acoustics, 2022

Ensemble Learning Priors Driven Deep Unfolding for Scalable Video Snapshot Compressive Imaging.
Proceedings of the Computer Vision - ECCV 2022, 2022

Modeling Mask Uncertainty in Hyperspectral Image Reconstruction.
Proceedings of the Computer Vision - ECCV 2022, 2022

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction.
Proceedings of the Computer Vision - ECCV 2022, 2022

HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Triply Complementary Priors for Image Restoration.
IEEE Trans. Image Process., 2021

Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models.
IEEE Trans. Image Process., 2021

Fast Hyperspectral Image Recovery of Dual-Camera Compressive Hyperspectral Imaging via Non-Iterative Subspace-Based Fusion.
IEEE Trans. Image Process., 2021

Snapshot Coherence Tomographic Imaging.
IEEE Trans. Computational Imaging, 2021

Snapshot Compressive Imaging: Theory, Algorithms, and Applications.
IEEE Signal Process. Mag., 2021

Mid-Infrared Compressive Hyperspectral Imaging.
Remote. Sens., 2021

Super-compression of large electron microscopy time series by deep compressive sensing learning.
Patterns, 2021

Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network.
Int. J. Comput. Vis., 2021

Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network.
CoRR, 2021

A New Backbone for Hyperspectral Image Reconstruction.
CoRR, 2021

Snapshot Compressive Imaging: Principle, Implementation, Theory, Algorithms and Applications.
CoRR, 2021

Low-Rank Regularized Joint Sparsity for Image Denoising.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Perception Inspired Deep Neural Networks For Spectral Snapshot Compressive Imaging.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Memory-Efficient Network for Large-Scale Video Compressive Sensing.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Various Plug-and-Play Algorithms with Diverse Total Variation Methods for Video Snapshot Compressive Imaging.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020
Exploiting Channel Correlations for NLOS ToA Localization With Multivariate Gaussian Mixture Models.
IEEE Wirel. Commun. Lett., 2020

Image Compression Based on Compressive Sensing: End-to-End Comparison With JPEG.
IEEE Trans. Multim., 2020

Image Restoration via Simultaneous Nonlocal Self-Similarity Priors.
IEEE Trans. Image Process., 2020

Image Restoration Using Joint Patch-Group-Based Sparse Representation.
IEEE Trans. Image Process., 2020

A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization.
IEEE Trans. Image Process., 2020

From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration.
IEEE Trans. Image Process., 2020

Group Sparsity Residual Constraint With Non-Local Priors for Image Restoration.
IEEE Trans. Image Process., 2020

Shearlet Enhanced Snapshot Compressive Imaging.
IEEE Trans. Image Process., 2020

Attention-Based Pyramid Network for Segmentation and Classification of High-Resolution and Hyperspectral Remote Sensing Images.
Remote. Sens., 2020

Solving Inverse Problems via Auto-Encoders.
IEEE J. Sel. Areas Inf. Theory, 2020

Spatial-spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images.
CoRR, 2020

Reconciliation Of Group Sparsity And Low-Rank Models For Image Restoration.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

The Power Of Triply Complementary Priors For Image Compressive Sensing.
Proceedings of the IEEE International Conference on Image Processing, 2020

Drcas: Deep Restoration Network For Hardware Based Compressive Acquisition Scheme.
Proceedings of the IEEE International Conference on Image Processing, 2020

A Hybrid Structural Sparse Error Model for Image Deblocking.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention.
Proceedings of the Computer Vision - ECCV 2020, 2020

BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging.
Proceedings of the Computer Vision - ECCV 2020, 2020

Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Snapshot Compressed Sensing: Performance Bounds and Algorithms.
IEEE Trans. Inf. Theory, 2019

Rank Minimization for Snapshot Compressive Imaging.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

A single triangular SS-EMVS aided high-accuracy DOA estimation using a multi-scale L-shaped sparse array.
EURASIP J. Adv. Signal Process., 2019

Dense Color Constancy with Effective Edge Augmentation.
CoRR, 2019

LISR: Image Super-resolution under Hardware Constraints.
CoRR, 2019

Using auto-encoders for solving ill-posed linear inverse problems.
CoRR, 2019

Solving linear inverse problems using generative models.
Proceedings of the IEEE International Symposium on Information Theory, 2019

Simultaneous Nonlocal Self-Similarity Prior for Image Denoising.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

lambda-Net: Reconstruct Hyperspectral Images From a Snapshot Measurement.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Tensor ADMM-Net for Snapshot Compressive Imaging.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
A New Nested MIMO Array With Increased Degrees of Freedom and Hole-Free Difference Coarray.
IEEE Signal Process. Lett., 2018

Adaptive step-size iterative algorithm for sparse signal recovery.
Signal Process., 2018

On the Fundamental Limit of Multipath Matching Pursuit.
IEEE J. Sel. Top. Signal Process., 2018

Non-convex weighted ℓ<sub><i>p</i></sub> nuclear norm based ADMM framework for image restoration.
Neurocomputing, 2018

From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Denoising.
CoRR, 2018

A Unified Array Geometry Composed of Multiple Identical Subarrays With Hole-Free Difference Coarrays for Underdetermined DOA Estimation.
IEEE Access, 2018

A Multiscale Sparse Array of Spatially Spread Electromagnetic-Vector-Sensors for Direction Finding and Polarization Estimation.
IEEE Access, 2018

Compressive Imaging Via One-Shot Measurements.
Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

Group Sparsity Residual with Non-Local Samples for Image Denoising.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Joint Patch-Group Based Sparse Representation for Image Inpainting.
Proceedings of The 10th Asian Conference on Machine Learning, 2018

2017
Hyperspectral Image Spatial Super-Resolution via 3D Full Convolutional Neural Network.
Remote. Sens., 2017

Bridge the Gap Between Group Sparse Coding and Rank Minimization via Adaptive Dictionary Learning.
CoRR, 2017

Compressive Sensing via Convolutional Factor Analysis.
CoRR, 2017

Convolutional factor analysis inspired compressive sensing.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Block-wise lensless compressive camera.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Hyperspectral image super-resolution via convolutional neural network.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016
Classification and Reconstruction of High-Dimensional Signals From Low-Dimensional Features in the Presence of Side Information.
IEEE Trans. Inf. Theory, 2016

Computational Snapshot Multispectral Cameras: Toward dynamic capture of the spectral world.
IEEE Signal Process. Mag., 2016

Variational Autoencoder for Deep Learning of Images, Labels and Captions.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Compressive video microscope via structured illumination.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Generalized alternating projection based total variation minimization for compressive sensing.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A new array geometry for DOA estimation with enhanced degrees of freedom.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A general framework for reconstruction and classification from compressive measurements with side information.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A Deep Generative Deconvolutional Image Model.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Inference of gene networks associated with the host response to infectious disease.
Proceedings of the Big Data over Networks, 2016

2015
Compressive Sensing by Learning a Gaussian Mixture Model From Measurements.
IEEE Trans. Image Process., 2015

Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements.
SIAM J. Imaging Sci., 2015

Compressive Hyperspectral Imaging With Side Information.
IEEE J. Sel. Top. Signal Process., 2015

Convergence of the Generalized Alternating Projection Algorithm for Compressive Sensing.
CoRR, 2015

Compressive Sensing via Low-Rank Gaussian Mixture Models.
CoRR, 2015

Lensless Compressive Imaging.
CoRR, 2015

A Generative Model for Deep Convolutional Learning.
Proceedings of the 3rd International Conference on Learning Representations, 2015

A concentration-of-measure inequality for multiple-measurement models.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Classification and reconstruction of compressed GMM signals with side information.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Polynomial-phase signal direction-finding and source-tracking with a single acoustic vector sensor.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Collaborative compressive X-ray image reconstruction.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multi-scale Bayesian reconstruction of compressive X-ray image.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Hierarchical Infinite Divisibility for Multiscale Shrinkage.
IEEE Trans. Signal Process., 2014

Corrections to "Vector Cross-Product Direction-Finding' With an Electromagnetic Vector-Sensor of Six Orthogonally Oriented But Spatially Noncollocating Dipoles/Loops".
IEEE Trans. Signal Process., 2014

Video Compressive Sensing Using Gaussian Mixture Models.
IEEE Trans. Image Process., 2014

Coherent sources direction finding and polarization estimation with various compositions of spatially spread polarized antenna arrays.
Signal Process., 2014

Tree-Structure Bayesian Compressive Sensing for Video.
CoRR, 2014

Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information.
CoRR, 2014

Bayesian Deep Deconvolutional Learning.
CoRR, 2014

Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Low-Cost Compressive Sensing for Color Video and Depth.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Coded aperture compressive temporal imaging
CoRR, 2013

Adaptive temporal compressive sensing for video.
Proceedings of the IEEE International Conference on Image Processing, 2013

Gaussian mixture model for video compressive sensing.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Estimating the DOA and the Polarization of a Polynomial-Phase Signal Using a Single Polarized Vector-Sensor.
IEEE Trans. Signal Process., 2012

Coherent Source Direction-Finding using a Sparsely-Distributed Acoustic Vector-Sensor Array.
IEEE Trans. Aerosp. Electron. Syst., 2012

Direction-Finding Wideband Linear FM Sources with Triangular Arrays.
IEEE Trans. Aerosp. Electron. Syst., 2012

Direction-Finding with a Misoriented Acoustic Vector Sensor.
IEEE Trans. Aerosp. Electron. Syst., 2012

Enhanced "vector-cross-product" direction-finding using a constrained sparse triangular-array.
EURASIP J. Adv. Signal Process., 2012

Polynomial-phase signal source tracking using an electromagnetic vector-sensor.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
"Vector Cross-Product Direction-Finding" With an Electromagnetic Vector-Sensor of Six Orthogonally Oriented But Spatially Noncollocating Dipoles/Loops.
IEEE Trans. Signal Process., 2011


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