xinjuan.jpg

Xin Yuan

Murray Hill, NJ, USA

Research Interests

Biography

I am a video analysis and coding lead researcher in Bell Labs, Murray Hill, NJ 07974.  I joined Bell Labs in March 2015 and before that, I was a Postdoctoral Associate in the Department of Electrical and Computer Engineering, Duke University, Durham, NC 27708 from May 2012 to March 2015. My research interests are computational imaging, machine learning, computer vision, signal processing and image processing. You can check my recent papers at https://scholar.google.com/citations?hl=en&user=cS9CbWkAAAAJ&view_op=list_works&sortby=pubdate and reach me at eiexyuan@gmail.com.

Since 2012, Dr. Yuan's main research topic is computational imaging, which includes the hardware system design (usually using optics, please refer to papers listed below published in CVPR, ECCV, Optica, Optics Letters, Optics Express and APL Photonics), and algorithm development including optimization based algorithms (please refer to papers listed below published in IEEE T-PAMI, T-IP and T-SP) and deep-learning-based algorithms (please refer to papers listed below published in CVPR, ICCV and ECCV). Furthermore, Dr. Yuan works with colleagues on the theoretical derivation of computational imaging systems (please refer to papers listed below published in IEEE T-IT). Dr. Yuan also works on machine learning models for other data analysis (please refer to papers published in ICML, NIPS and AISTATS).

Currently, Dr. Yuan is working on the Snapshot Compressive Imaging (refer to the review paper published in IEEE Signal Processing Magazine entitled "Snapshot Compressive Imaging: Theory, Algorithms and Applications" doi: 10.1109/MSP.2020.3023869), dubbed SCI.  Snapshot compressive imaging uses a two-dimensional (2D) detector to capture high-dimensional (HD, i.e., 3D or larger) data in a snapshot measurement. Via novel optical designs, the 2D detector samples the HD data in a compressive manner; following this, algorithms are employed to reconstruct the desired HD data-cube. SCI has been used in hyperspectral imaging, video, holography, tomography, focal depth imaging, polarization imaging, microscopy, etc. Though the hardware has been investigated for more than a decade, the theoretical guarantees have only recently been derived in 2019. Inspired by deep learning, various deep neural networks have also been developed to reconstruct the HD data-cube in spectral SCI and video SCI. Dr. Yuan and his collaborators are leading the state-of-the-art SCI reconstruction algorithms, both in optimization (T-PAMI 2019) and deep learning (CVPR 2020, 2021 and ECCV 2020).

In addition to SCI, Dr. Yuan is also working on other image processing algorithms, such as denoising, inpainting, deblocking, and other image restoration tasks (please refer to papers listed below published in IEEE T-IP).

Before 2012, Dr. Yuan was working on array signal processing, especially on the polarization antenna array signal processing (please refer to papers listed below published in IEEE T-SP, T-AES and T-AP).

Dr. Yuan is the author/co-author of 2 book chapters, >60 journal papers and >50 conference papers. Some prestigious journals include: IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Signal Processing Magazine,  IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, Optica, Optics Letters and top-tier conferences such as IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), IEEE International Conference on Computer Vision (ICCV), European Conference on Computer Vision (ECCV), International Conference on Machine Learning (ICML) and Conference on Neural Information Processing Systems (NeurIPS).

Dr. Yuan is the inventor/co-inventor of about 20 international patents.

Education

Post-doc researcher, May 2012 - March 2015
Department of Electrical and Computer Engineering
Duke University, Durham, NC, USA

Ph.D., September 2009 - April 2012
Department of Electronic and Information Engineering
The Hong Kong Polytechnic University, Hong Kong

M.Eng,, August 2007 - June 2009
National Key Lab of Radar Signal Processing,
School of Electronic EngineeringXidian University, China

B.Eng., August 2003 - June 2007
School of Electronic Engineering, Xidian University, China

Professional activities

Lead guest editor of IEEE Journal of Selected Topic in Signal Processing special issue on “Deep Learning for High Dimensional Sensing” (2021)

Topical Editor of Chinese Optics Letters, (2021-)

Associate editor of International Journal of Pattern Recognition and Artificial Intelligence (2020-)

Associate Editor of Pattern Recognition(2019-)

Reviewer of Department of Energy (DOE), small business innovative research (SBIR), 2018, 2019

Program committee member of AAAI (AAAI Conference on Artificial Intelligence) 2019, 2020

Guest editor of IEEE Access special section on "Theory, Algorithms, and Applications of Sparse Recovery" (2018)

IEEE Senior Member (2016)

Selected articles and publications

2021

  1. X. Yuan*,Y. Liu*, J. Suo, F. Durand and Q. Dai, “Plug-and-Play Algorithms for Video Snapshot Compressive Imaging,” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021.(*equal contribution).
  2. Z. Meng,X. Yuan*and S. Jalali, “Deep Unfolding for Snapshot Compressive Imaging,” International Journal of Computer Vision (IJCV), 2021.
  3. R. Lu, B. Chen*, G. Liu, Z. Cheng, M. Qiao andX. Yuan*, “Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network,” International Journal of Computer Vision (IJCV), 2021.
  4. W. He, X. Yuan, N. Yokoya, “Fast Hyperspectral Image Recovery via Non-iterative Fusion of Dual-Camera Compressive Hyperspectral Imaging,” IEEE Transactions on Image Processing, 2021.
  5. Z. Meng, Z. Yu, K. Xu and X. Yuan*, “Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging,” IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
  6. X. Li, J. Suo, W. Zhang, X. Yuan, and Q. Dai, “Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution,” IEEE/CVF International Conference on Computer Vision (ICCV), 2021.
  7. M. Qiao, Y. Sun, J. Ma, Z. Meng, X. Liu and X. Yuan, “Snapshot Coherence Tomographic Imaging” IEEE Transactions on Computational Imaging, 2021.
  8. Z. Zha, B. Wen, X. Yuan, J. T. Zhou, J. Zhou and C. Zhu, “Triply Complementary Priors for Image Restoration,” IEEE Transactions on Image Processing, 2021.
  9. Z. Zha, X. Yuan, B. Wen, J. Zhang and C. Zhu, “Non-Convex Structural Sparsity Residual Constraint for Image Restoration,” IEEE Transactions on Cybernetics, 2021.
  10. S. Zheng, C. Wang, X. Yuan and H. Xin, Super-compression of large electron microscopy time-series by deep compressive sensing learning,Cell Patterns, 2021.
  11. Z. Zha, B. Wen, X. Yuan, J. Zhou and C. Zhu, “Image Restoration via Reconciliation of Group Sparsity and Low-rank Models,” IEEE Transactions on Image Processing, 2021.
  12. X. Yuan and S. Han, “Single-Pixel Neutron Imaging with Artificial Intelligence: Breaking the Barrier in Multi-Parameter Imaging, Sensitivity and Spatial Resolution,” The Innovation: Cell Press, 2021.
  13. Z. Cheng, B. Chen*, G. Liu, H. Zhang, R. Lu, Z. Wang and X. Yuan*, “Memory-Efficient Network for Large-scale Video Compressive Sensing,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  14. Z. Wang, H. Zhang, Z, Cheng, B. Chen* and X. Yuan*, “MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  15. T. Huang, W. Dong*, X. Yuan*, J. Wu and G. Shi, “Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
  16. Z. Zha, X. Yuan, B. Wen, J. Zhang and C. Zhu, “Non-Convex Structural Sparsity Residual Constraint for Image Restoration,” IEEE Transactions on Cybernetics, 2021.
  17. Y. Zhang, N. Xiong, Z. Wei, X. Yuan and J. Wang, “ADCC: An Effective and Intelligent Attention Dense Color Constancy System for Studying Images in Smart Cities”, IEEE Transactions on Systems, Man and Cybernetics: Systems, 2021.
  18. X. Ma, X. Yuan, C. Fu and G. R. Arce, “LED-based compressive spectral-temporal imaging,” Optics Express, 2021.
  19. M. Qiao, X. Liu and X. Yuan*, “Snapshot Temporal Compressive Microscopy Using an Iterative Algorithm with Untrained Deep Neural Networks,” Optics Letters, 2021. (*Corresponding author).
  20. X. Yuan*, D. Brady, and A. Katsaggelos, “Snapshot Compressive Imaging: Theory, Algorithms and Applications,” IEEE Signal Processing Magazine, vol. 38, no. 2, pp. 65-88, March 2021.
  21. S. Yang, X. Yan, H. Qin, Q. Zeng, Y. Liang, H. Arguello and X. Yuan, “Mid-Infrared Compressive Hyperspectral Imaging", Remote Sensing, 2021, 13, 741.
  22. Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu and A. C. Kot, “A Hybrid Structural Sparsification Error Model for Image Restoration," IEEE Transactions on Neural Networks and Learning Systems, 2021. DOI: 10.1109/TNNLS.2021.3057439.
  23. S. Zheng, Y. Liu, Z. Meng, M. Qiao, Z. Tong, X. Yang, S. Han and X. Yuan*, “Deep Plug-and-Play Priors for Spectral Snapshot Compressive Imaging," Photonics Research, vol. 9, B18-B29, 2021. (*Corresponding author).
  24. Z. Meng, X. Yuan, "Perception Inspired Deep Neural Networks for Spectral Snapshot Compressive Imaging", IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, September 2021.
  25. Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu, "Low-Rank Regularized Joint Sparsity for Image Denoising", IEEE International Conference on Image Processing (ICIP), Anchorage, Alaska, USA, September 2021.
  26. X. Yuan, "Various Plug-and-Play Algorithms with Diverse Total Variation Methods for Video Snapshot Compressive Imaging," CAAI International Conference on Artificial Intelligence, 2021.

2020

  1. S. Lu, X. Yuan and W. Shi, “An Integrated Framework for Compressive Imaging Processing on CAVs,” The Fifth ACM/IEEE Symposium on Edge Computing (SEC), San Jose, CA, USA, November 2020. (acceptance rate: 21/96 = 22%).
  2. Z. Meng, J. Ma, X. Yuan*, “End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention,” European Conference on Computer Vision (ECCV), 2020. (acceptance rate: 1361/5025 = 27%).
  3. Z. Cheng, R. Lu, Z. Wang, H. Zhang, B. Chen, Z. Meng, X. Yuan*, “BIRNAT: Bidirectional Recurrent Neural Networks with Adversarial Training for Video Snapshot Compressive Imaging,” European Conference on Computer Vision (ECCV), 2020. (acceptance rate: 1361/5025 = 27%).
  4. X. Yuan, Y. Liu, J. Suo and Q. Dai, “Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, WA, USA, June 2020. (oral presentation, acceptance rate: 335/5865 = 5.7%).
  5. Q. Xu, X. Yuan, C. Ouyang, Y. Zeng, “Spatial-spectral FFPNet: Attention-Based Pyramid Network for Segmentation and Classification of Remote Sensing Images," Remote Sensing,12(21), 3501, 2020.
  6. Q. Xu+, X. Yuan+, and C. Ouyang, “Class-aware Domain Adaptation for Semantic Segmentation of Remote Sensing Images," accepted by the IEEE Transactions on Geoscience and Remote Sensing, 2020. (+equal contributions).
  7. D. P. Siddons, A. Kuczewski, A. K. Rumaiz, R. Tappero, M. Idir, K. Nakhoda, J. Khanfri, V. Singh, E. R. Farquhar, M. Sullivan, D. Abel, D. J. Brady and X. Yuan, “A Coded-aperture Microscope for X-ray Fluorescence Full-Field Imaging", Journal of Synchrotron Radiation, 2020.
  8. Z. Zha, X. Yuan, B. Wen, J. Zhou and C. Zhu, “Group Sparsity Residual Constraint with Non- Local Priors for Image Restoration,” IEEE Transactions on Image Processing, vol. 29, pp. 8960-8975, 2020.
  9. L. Pan, C. Deng, Z. Bo, X. Yuan, D. Zhu, W. Gong and S. Han, “Experimental investigation of chirped amplitude modulation heterodyne ghost imaging,” Opt. Express 28, 20808-20816 (2020)
  10. Z. Meng, M. Qiao, J. Ma, Z. Yu, K. Xu, and X. Yuan*, “Snapshot Multispectral Endomicroscopy”, Optics Letters,vol. 45, issue 4. pp. 3897-3900, 2020. DOI: 10.1364/OL.393213.
  11. Z. Zha, X. Yuan, J. Zhou, C. Zhu and B. Wen, “Image Restoration via Simultaneous Nonlocal Self-Similarity Priors,” IEEE Transactions on Image Processing, vol. 29, pp. 8561-8576, 2020.
  12. Z. Zha+, X. Yuan+, B. Wen, J. Zhang, J. Zhou and C. Zhu, “Image Restoration Using Joint Patch-Group Based Sparse Representation,” IEEE Transactions on Image Processing, vol. 29, pp. 7735-7750, 2020. (+equal contribution).
  13. P. Yang, L. Kong, X.-Y. Liu, X Yuan and G. Chen, “Shearlet Enhanced Snapshot Compressive Imaging,” IEEE Transactions on Image Processing, vol. 29, pp. 6466-6481, 2020, DOI: 10.1109/TIP.2020.2989550
  14. P. Peng, S. Jalali and X Yuan, “Solving Inverse Problems via Auto-encoders," IEEE Journal on Selected Areas in Information Theory, vol. 1, no. 1, pp. 312-323, May 2020. DOI: 10.1109/JSAIT.2020.2983643.
  15. M. Qiao, Z. Meng, J. Ma and X Yuan*, “Deep Learning for Video Compressive Sensing," APL Photonics (Invited paper for Special Topic: Photonics and AI), vol.5, Issue 3, 2020.  Selected as the feature article and reported by Scilight “Deep learning speeds up video compressive sensing from days to minutes”  at: https://doi.org/10.1063/10.0000928, (*Corresponding author).
  16. M. Qiao, X. Liu and X Yuan*, “Snapshot spatial-temporal compressive imaging," Optics Letters, vol 45, pp. 1659-1662, 2020. (* Corresponding author).
  17. X Yuan and R. Haimi-Cohen, “Image Compression Based on Compressive Sensing: End-to-End Comparison with JPEG," IEEE Transactions on Multimedia, vol. 22, no. 11, pp. 2889-2904, Nov. 2020.
  18. M. Qiao and X Yuan*, “A Realistic phase screen model for forward multiple-scattering media,” Optics Letters, 45, 1031-1034 (2020). (*Corresponding author).
  19. Z. Zha, X Yuan, B. Wen, J. Zhou, J. Zhang and C. Zhu, “A Benchmark for Sparse Coding: When Group Sparsity Meets Rank Minimization,” IEEE Transactions on Image Processing, vol. 29, pp. 5094-5109, 2020
  20. Z. Zha, X Yuan, B. Wen, J. Zhou, J. Zhang and C. Zhu,” From Rank Estimation to Rank Approximation: Rank Residual Constraint for Image Restoration," IEEE Transactions on Image Processing, vol. 29, pp. 3254-3269, 2020.
  21. C. Geng, X Yuan and H. Huang, “Exploiting Channel Correlations for NLOS ToA Localization and Multivariate Gaussian Mixture Models," IEEE Wireless Communications Letters, vol. 9, no. 1, pp. 70-73, Jan. 2020.
  22. Z. Zha, X. Yuan, J. T. Zhou, J. Zhou, B. Wen and C. Zhu, “The Power of Triply Complementary Priors for Image Compressive Sensing," IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates (UAE), October 2020.
  23. P. S. Gupta, X. Yuan and G. S. Choi, “DRCAS: Deep Restoration Network for Hardware Based Compressive Acquisition Scheme,"IEEE International Conference on Image Processing (ICIP), Abu Dhabi, United Arab Emirates (UAE), October 2020.
  24. Z. Zha, B. Wen, X. Yuan, J. Zhou, C. Zhu, “Reconciliation of Group Sparsity and Low-rank models for Image Restoration," IEEE International Conference on Multimedia and Expo (ICME), London, UK, July 2020 (oral).
  25. Z. Zha, X. Yuan, J. Zhou, C. Zhu and B. Wen, “Hybrid Structural Sparse Error Model for Image Deblocking," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain, May 2020.

2019

  1. J. Ma, X-Y. Liu, Z. Shou and X. Yuan, “Deep Tensor ADMM-Net for Snapshot Compressive Imaging," IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019.
  2. X. Miao, X. Yuan*, Y. Pu and V. Athitsos, “Lambda-net: Reconstruct Hyperepsectral Images from a Snapshot Measurement," IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October 2019.
  3. J. Ding, M. Yang, B. Chen and X Yuan, “A Single Triangular SS-EMVS Aided High Accuracy DOA Estimation Using A Multiscale L-shaped Sparse Array," EURASIP Journal on Advances in Signal Processing, 44 (2019).
  4. S. Jalali and X Yuan, “Snapshot Compressed Sensing: Performance Bounds and Algorithms," IEEE Transactions on Information Theory, vol. 65, no. 12, pp. 8005-8024, Dec. 2019.
  5. M. Yang, J. Ding, B. Chen and X Yuan, “Coprime L-shaped Array Connected by A Triangular Spatially-spread Electromagnetic-Vector-Sensor for Two-Dimensional Directional of Arrival Estimation,” IET Radar, Sonar and Navigation, vol. 13, no. 10, pp. 1609-1615, 2019.
  6. Y. Liu+, X. Yuan+, J. Suo, D. Brady and Q. Dai, “Rank Minimization for Snapshot Compressive Imaging”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, no. 12, pp. 2990-3006, 1 Dec. 2019. (+equal contribution).
  7. P. Peng, S. Jalali and X. Yuan, “Auto-Encoders for Compressed Sensing", Neural Information Processing Systems (NeurIPS) workshop, Vancouver, Canada, December 2019.
  8. Z. Zha, X. Yuan, B.Wen, J. Zhang, J. Zhou, C. Zhu, “Simultaneous Nonlocal Self-Similarity Prior for Image Denoising", IEEE International Conference on Image Processing (ICIP), Taipei, Taiwan, China, September 2019.
  9. S. Jalali, X. Yuan, “Solving Linear Inverse Problems Using Generative Models", IEEE International Symposium on Information Theory (ISIT), Paris, France. July 2019.
  10. M. Qiao, Y. Sun, X. Liu, X. Yuan*, and P. Wilford, “Snapshot Optical Coherence Tomography," OSA Digital Holography and 3-D Imaging, Bordeaux, France, May 2019. (*corresponding author).
  11. X. Miao, X. Yuan*, and P. Wilford, “Deep Learning for Compressive Spectral Imaging," OSA Digital Holography and 3-D Imaging, Bordeaux, France, May 2019. (*corresponding author).

2018

  1. X. Zhang, X. Yuan* and L. Carin, “Nonlocal Low-Rank Tensor Factor Analysis for Image Restoration," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June 2018. (*corresponding author).
  2. X Yuan, “Adaptive Step-size Iterative Algorithm for Sparse Signal Recovery," Signal Processing, vol. 152, pp. 273-285, November 2018.
  3. H. Li, J. Wang and X Yuan, “On the Fundamental Limit of Multipath Matching Pursuit," IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 5, pp. 916-927, October 2018.
  4. Z. Zha, X. Zhang, Y. Wu, Q. Wang, X. Liu, L. Tang and X Yuan, “Non-Convex Weighted Lp Nuclear Norm based ADMM Framework for Image Restoration," Neurocomputing, vol. 311, pp. 209-224, October 2018.
  5. M. Yang, A. Haimovich, X. Yuan, L. Sun, and B. Chen, “A Unified Array Geometry Composed of Multiple Subarrys with Hole-free Difference Coarrays for Underdetermined DOA Estimation," IEEE Access, 2018.
  6. X. Yuanand Y. Pu, “Parallel Lensless Compressive Imaging via Deep Convolutional Neural Networks," Optics Express, 2018.
  7. M. Yang, J. Ding, B. Chen, and X. Yuan*, “A Multiscale Sparse Array of Spatially-Spread Electromagnetic-Vector-Sensors for Direction Finding and Polarization Estimation," IEEE Access, 2018. (*corresponding author).
  8. M Yang, L Sun, X. Yuan and B Chen, “A New Nested MIMO Array with Increased Degrees of Freedom and Hole-Free Difference Coarray," IEEE Signal Processing Letters 25 (1), 40-44. January 2018.
  9. Z. Zha and X. Yuan, “Joint Patch-Group Based Sparse Representation for Image Inpainting,” Asian Conference on Machine Learning (ACML), Beijing, China, November 2018.
  10. X. Yuan and Y. Pu, “Deep Learning for Lensless Compressive Imaging," Microscopy & Microanalysis 2018 Meeting, Baltimore, Maryland, August 2018.
  11. S. Jalali and X. Yuan, “Compressive Imaging via One-shot Measurements," IEEE International Symposium on Information Theory (ISIT), Colorado, USA, June 2018 (Oral).
  12. Z. Zha, X. Zhang, Q. Wang, Y. Bai, L. Tang, and X. Yuan, “Group Sparsity Residual with Non-Local Samples for Image Denoising," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Calgary, Alberta, Canada, April 2018 (Oral).
  13. X. Yuan, and X. Liu, “Wavelet Tree Structure Based Speckle Noise Removal for Optical Coherence Tomography," SPIE Photonics West, BiOS, San Francisco, California, USA, January 2018.

2017

  1. Y. Sun, X. Yuan* and S. Pang*, “Compressive high-speed stereo imaging," Optics Express, vol. no. 15, pp. 18182-18190, July 2017. (*corresponding authors).
  2. F. Zaki, Y. Wang, H. Su, X. Yuan, and X. Liu, “Noise adaptive wavelet thresholding for speckle noise removal in optical coherence tomography," Biomedical Optics Express, vol. 8, no. 5, pp. 2720-2731, 2017.
  3. X. Yuan, Y. Sun, and S. Pang, “Compressive Video Sensing with Side Information," Applied Optics, 56(10), 2697-2704, April 2017.
  4. X. Yuan, G. Huang, H. Jiang, and P. Wilford, “Block-wise Lensless Compressive Camera,” IEEE International Conference on Image Processing (ICIP), Beijing, China, September 2017 (Oral).
  5. X. Yuan, Y. Pu, “Convolutional Factor Analysis Inspired Compressive Sensing," IEEE International Conference on Image Processing (ICIP), Beijing, China, September 2017 (Oral).
  6. X. Yuan, Y. Sun and S. Pang “Compressive Temporal RGB-D Imaging," OSA Imaging and Applied Optics, San Francisco, California, USA, June 2017 (Oral).
  7. F. Zaki, Y. Wang, X. Yuan, and X. Liu “Adaptive Wavelet Thresholding for Optical Coherence Tomography Image Denoising,” OSA Imaging and Applied Optics, San Francisco, California, USA, June 2017 (Oral).
  8. X. Yuan, Y. Sun, and S. Pang, ``Compressive Video Sensing with Side Information," SPIE Commercial + Scientific Sensing and Imaging, Anaheim, USA, April 2017.

2016

  1. Y. Pu, Z. Gan, R. Henao, X. Yuan, C. Li, A. Stevens and L. Carin, "Variational Autoencoder for Deep Learning of Images, Labels and Captions," Neural Information Processing Systems (NIPS),Barcelona, Spain, December 2016.
  2. Y. Pu, X. Yuan, A. Stevens, C. Li and L. Carin, "A Deep Generative Deconvolutional Image Model," International Conference on Artificial Intelligence and Statistics (AISTATS), Cadiz, Spain, May 2016.
  3. X. Yuan, “Compressive dynamic range imaging via Bayesian shrinkage dictionary learning", Optical Engineering, 55(12), 123110, 2016.
  4. M. Yang, L. Sun, X. Yuan, and B. Chen, "Improved Nested Array with Hole-free Difference Coarray and More Degrees of Freedom", IET Electronics Letters, vol. 52, no. 25, pp. 2068-2070, December 8, 2016.
  5. X. Yuan, H. Jiang, G. Huang, and P. Wilford, "SLOPE: Shrinkage of Local Overlapping Patches Estimator for Lensless Compressive Imaging," IEEE Sensors Journal, vol. 16, no. 22, pp. 8091-8102, November 15, 2016.
  6. F. Renna, L. Wang, X. Yuan, J. Yang, G. Reeves, R. Calderbank, L. Carin and M. R. D. Rodrigues, "Classification and Reconstruction of High-Dimensional Signals from Low-Dimensional Noisy Features in the Presence of Side Information," IEEE Transactions on Information Theory, vol. 62, no. 11, pp. 6459-6492, November 2016.
  7. Y. Sun, X. Yuan, and S. Pang, "High-speed Compressive Range Imaging Based on Active Illumination," Optics Express, vol. 24, no. 20, pp. 22836-22846, October 2016.
  8. X. Yuan, X. Liao, P. Llull, D. Brady, and L. Carin, "An Efficient Patch-based Approach for Compressive Depth Imaging," Applied Optics, vol. 55, no. 27, pp. 7556-7564, September 2016.
  9. X. Cao, T. Yue, X. Lin, S. Lin, X. Yuan, Q. Dai, Lawrence Carin and D. Brady, "Computational Snapshot Multispectral Cameras: Towards Dynamic Capture of the Spectral World," IEEE Signal Processing Magazine, vol. 33, no. 5, pp. 95-108, September 2016.
  10. X. Yuan, S. Pang, “Structured Illumination Temporal Compressive Microscopy,” Biomedical Optics Express, vol. 7, no. 3, pp. 746-758, 2016.
  11. X. Yuan, and S. Pang "Compressive Video Microscope via Structured Illumination," IEEE International Conference on Image Processing (ICIP),Phoenix, Arizona, USA, September 2016 (Oral).
  12. X. Yuan, "Generalized Alternating Projection Based Total Variation Minimization for Compressive Sensing," IEEE International Conference on Image Processing (ICIP), Phoenix, Arizona, USA, September 2016.
  13. A. Stevens, H. Yang, L. Kovarik, X. Yuan, Q. Ramasse, P. Abellan, Y. Pu, L Carin, and N. Browning, "Compressive Sensing in Microscopy: A Tutorial," Microscopy and Microanalysis, vol. 22, pp. 2084-2085, Columbus, Ohio, July 2016.
  14. X. Yuan, Y. Sun, and S. Pang, "Compressive Temporal Stereo-Vision Imaging," Computational Optical Sensing and Imaging (COSI), Heidelberg, Germany, July 2016.
  15. L. Wang, F. Renna, X. Yuan, M. Rodrigues, R. Calderbank, and L. Carin, “A General Framework for Reconstruction and Classification from Compressive Measurements with Side Information,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, March 2016.
  16. M. Yang, A. Haimovich, B. Chen and X. Yuan, “A New Array Geometry for DOA Estimated with Enhanced Degrees of Freedom,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, March 2016.

2015

  1. X. Yuan, R. Henao, E. L. Tsalik and L. Carin, "Non-Gaussian Discriminative Factor Models via the Max-Margin Rank Likelihood", International Conference on Machine Learning (ICML), Lille, France, July 2015.
  2. P. Llull, X. Yuan, L. Carin, and D. J. Brady, “Image Translation for Single-Shot Focal Tomography,” Optica, vol. 2, Issue 9, pp. 822-825, 2015.                                                                                                        (Reported at: http://www.sciencedaily.com/releases/2015/09/150917110004.htm).
  3. T.-H. Tsai, P. Llull, X. Yuan, L. Carin, and D. J. Brady, “Spectral-Temporal Compressive Imaging,” Optics Letters, 40 (17), pp. 4054-4057, September 2015.
  4. L. Wang+, J. Huang+, X. Yuan+, K. Krishnamurthy, J. Greenberg, V. Cevher, D. J. Brady, M. Rodrigues, R. Calderbank, and L. Carin, “Signal Recovery and System Calibration from Multiple Compressive Poisson Measurements,” SIAM Journal on Imaging Science, 8(3), pp. 1923-1954, 2015. (+equal contribution). 
  5. A. Stevens, L. Kovarik, P. Abellan, X. Yuan, L. Carin, N. D. Browning, “Applying Compressive Sensing to TEM Video: A Substantial Framerate Increase on any Camera," Advanced Structural and Chemical Imaging, 1:10 DOI: 10.1186/s40679-015-0009-3, 2015.
  6. T.-H. Tsai, X. Yuan, and D. J. Brady, “Spatial Light Modulator based Color Polarization Imaging,” Optics Express, 23(9), pp.11912-11926, May, 2015.
  7. X. Yuan, T.-H. Tsai, R. Zhu, P. Llull, D. J. Brady, and L. Carin, “Compressive Hyperepectral Imaging with Side Information,” IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 6, pp. 964-976 September 2015.
  8. J. Yang, X. Liao, X. Yuan, P. Llull, D. J. Brady, G. Sapiro and L. Carin, “Compressive Sensing by Learning a Gaussian Mixture Model from Measurements,” IEEE Transactions on Image Processing, vol. 24, no. 1, pp. 106-119, January 2015.
  9. X. Yuan and S. Pang, “Structured Illumination Temporal Compressive Microscopy,” Frontier in Optics (FiO), 2015.
  10. A. Stevens, L. Kovarik, P. Abellan, X. Yuan, L Carin, and N.D. Browning, “TEM Video Compressive Sensing,” Microscopy & Microanalysis 2015 Meeting, Portland, Oregon, August 2015.
  11. T. Tsai, P. Llull, X. Yuan, L. Carin, and D. Brady, “Coded Aperture Compressive Spectral-Temporal Imaging,” Computational Optical Sensing and Imaging (COSI), Arlington, Virginia, USA, June 2015, (Oral).
  12. Y. Pu, X. Yuan, and L. Carin, “A Generative Model for Deep Convolutional Learning,” International Conference on Learning Representations (ICLR) workshop, San Diego, CA, USA, May 2015.
  13. L. Wang, J. Huang, X. Yuan, V. Cevher, M. Rodrigues, R. Calderbank, and L. Carin, “A Concentration-of-Measure Inequality for Multiple-Measurement Models,” IEEE International Symposium on Information Theory (ISIT), Hong Kong, June 2015.
  14. F. Renna, L. Wang, X. Yuan, J. Yang, G. Reeves, R. Calderbank, L. Carin and M. R. D. Rodrigues, “Classification and Reconstruction of Compressed GMM Signals with Side Information,” IEEE International Symposium on Information Theory (ISIT), Hong Kong, June 2015.
  15. J. Huang, X. Yuan and R. Calderbank, “Collaborative Compressive X-Ray Image Reconstruction,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 2015.
  16. J. Huang, X. Yuan and R. Calderbank, “Multi-Scale Bayesian Reconstruction of Compressive X-Ray Image,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 2015.
  17. X. Yuan and J. Huang, “Polynomial-Phase Signal Direction-Finding and Source-Tracking with A Single Acoustic Vector Sensor," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brisbane, Australia, April 2015.

2014

  1. R. Henao, X. Yuan and L. Carin, "Bayesian Nonlinear Support Vector Machines and Supervised Factor Modeling," Neural Information Processing Systems (NIPS), Montreal, Canada, December 2014, (acceptance rate: 414/1678 = 24.6%).
  2. X. Yuan, P. Llull, X. Liao, J. Yang, G. Sapiro, D. J. Brady, and L. Carin, "Low-Cost Compressive Sensing for Color Video and Depth," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, USA, June 2014.
  3. E. L. Tsalik, R. J. Langley, D. L. Dinwiddie, N. A. Miller, B. Yoo, J. C van Velkinburgh, L. D. Smith, I. Thiffault, A. K. Jaehne, A. M. Valente, R. Henao, X. Yuan, S. W. Glickman, B. J. Rice, M. K McClain, L. Carin, G. R. Corey, G. S Ginsburg, C. B Cairns, R. M Otero, V. G Fowler Jr, E. P Rivers, C. W Woods, S. F. Kingsmore, “An Integrated Transcriptome and Expressed Variant Analysis Associated with Death in Sepsis,” Genome Medicine, November, 2014.
  4. J. Yang, X. Yuan, X. Liao, P. Llull, D. J. Brady, G. Sapiro and L. Carin “Video Compressive Sensing Using Gaussian Mixture Models,” IEEE Transactions on Image Processing, vol. 23, no. 21, pp. 4863-4878, November 2014.
  5. X. Yuan, V. Rao, S. Han and L. Carin, “Hierarchical Infinite Divisibility for Multiscale Shrinkage,” IEEE Transactions on Signal Processing, vol. 62, no. 17, pp. 4363-4374, September 1, 2014.
  6. X. Yuan, “Coherent Sources Direction Finding and Polarization Estimation with Various Compositions of Spatially Spread Polarized Antenna Arrays,” Signal Processing, vol. 102, pp. 265-281, 2014.
  7. P. Llull, X. Yuan, X. Liao, J. Yang, L. Carin, G. Sapiro and D.J. Brady, “Compressive Extended Depth of Field Using Image Space Coding,” Computational Optical Sensing and Imaging (COSI), Hawaii, USA, June 2014, (Oral). (Best paper award).
  8. T.-H. Tsai, X. Yuan, L. Carin, and D.J. Brady, “Spatial Light Modulator Based Spectral Polarization Imaging,” Computational Optical Sensing and Imaging (COSI), Hawaii, USA, June 2014, (Oral).

2013

  1. X. Yuan, “Spatially Spread Dipole/Loop Quads/Quints: for Direction Finding and Polarization Estimation,” IEEE Antennas and Wireless Propagation Letters, vol. 12, pp. 1081-1084, 2013.
  2. P. Llull, X. Liao, X. Yuan, J. Yang, D. Kittle, L. Carin, G. Sapiro and D.J. Brady, "Coded Aperture Compressive Temporal Imaging", Optics Express, vol. 21, Issue 9, pp. 10526-10545, 2013.
  3. X. Yuan, J. Yang, P. Llull, X. Liao, G. Sapiro, D. J. Brady and L. Carin, “Adaptive Temporal Compressive Sensing for Video,” International Conference on Image Processing (ICIP), Melbourne, Australia, September 2013, (Oral).
  4. J. Yang, X. Yuan, X. Liao, P. Llull, G. Sapiro, D. J. Brady and L. Carin, “Gaussian Mixture Model for Video Compressive Sensing,” International Conference on Image Processing (ICIP), Melbourne, Australia, September 2013, (Oral).
  5. P. Llull, X. Liao, X. Yuan, J. Yang, D. Kittle, L. Carin, G. Sapiro and D.J. Brady, “Compressive Sensing for Video Using a Passive Coding Element,” Computational Optical Sensing and Imaging (COSI), Arlington, VA, June 2013, (Oral). (Best paper award).

2012

  1. X. Yuan, "Estimating the DOA and the Polarization of a Polynomial-Phase Signal Using a Single Polarized Vector-Sensor," IEEE Transactions on Signal Processing, vol. 60, no. 3, pp. 1270-1282, March 2012.
  2. X. Yuan, "Direction-Finding with a Misoriented Acoustic Vector Sensor," IEEE Transactions on Aerospace and Electronic Systems,vol. 48, no. 2, pp. 1809-1815, April 2012.
  3. X. Yuan,K. T. Wong & K. Agrawal, "Polarization Estimation with a Dipole-Dipole Pair, a Dipole-Loop Pair, or a Loop-Loop Pair of Various Orientations," IEEE Transactions on Antennas and Propagation, vol. 60, no. 5, pp. 2442 - 2452, May 2012.
  4. F. Luo & X. Yuan*, "Enhanced "Vector-Cross-Product" Direction-Finding Using a Constrained Sparse Triangular-Array", EURASIP Journal on Advances in Signal Processing, 2012:115 doi:10.1186/1687-6180-2012-115, May 2012.
  5. Y. I. Wu, K. T. Wong, X. Yuan, S.-K. Lau & S. K. Tang, "A Directionally Tunable but Frequency-Invariant Beamformer on an Acoustic Velocity-Sensor Triad to Enhance Speech Perception," Journal of the Acoustical Society of America, vol. 131, no. 5, pp. 3891-3902, May 2012.
  6. X. Yuan, K. T. Wong, Z. Xu & K. Agrawal, "Various Compositions to Form a Triad of Collocated Dipoles/Loops, for Direction Finding & Polarization Estimation," IEEE Sensors Journal,vol. 12, no. 6, pp. 1763 - 1771, June 2012.
  7. X. Yuan, "Direction-Finding Wideband Linear FM Sources with Triangular Arrays," IEEE Transactions on Aerospace and Electronic Systems,vol. 48, no. 3, pp. 2416-2425, July 2012.
  8. X. Yuan, "Coherent Source Direction-Finding Using a Sparsely-Distributed Acoustic Vector-Sensor Array," IEEE Transactions on Aerospace and Electronic Systems,vol. 48, no. 3, pp. 2710-2715, July 2012.
  9. X. Yuan, "Cramer-Rao Bounds of Direction-of-Arrival and Distance Estimation of a Near-Field Incident Source for an Acoustic Vector-Sensor: Gaussian Source and Polynomial-Phase Source," IET Radar, Sonar and Navigation, vol. 6, no. 7, pp. 638-648, July 2012.
  10. X. Yuan,"Quad Compositions of Collocated Dipoles and Loops: for Direction Finding and Polarization Estimation," IEEE Antennas and Wireless Propagation Letters, vol. 11, pp. 1044-1047, 2012.
  11. Z. Xu, X. Yuan*,"Cramer-Rao Bounds of Angle-of-Arrival & Polarisation Estimation for Various Triads," IET Microwaves, Antennas & Propagation,vol. 6, no. 15, pp. 1651-1664, 2012.
  12. X. Yuan, “Polynomial-Phase Signal Source-Tracking Using an Electromagnetic Vector-Sensor,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, March 2012.

2011

  1. K. T. Wong and X. Yuan,"'Vector Cross-Product' Direction-Finding with an Electromagnetic Vector-Sensor of Six Orthogonally Oriented but Spatially Noncollocating Dipoles/Loops", IEEE Transactions on Signal Processing,vol. 59, no. 1, pp. 160-171, January 2011.
  2. X. Yuan, “Cramer-Rao Bound of The Direction-of-Arrival Estimation Using a Spatially Spread Electromagnetic Vector-Sensor,” IEEE Statistical Signal Processing Workshop (SSP), Nice, France, June 2011.

 

    Books

    Book Chapter:

    • Z. Gan, X. Yuan, R. Henao, E. L. Tsalik, and L. Carin " Inference of gene networks associated with the host response to infectious disease" for Big Data for Networks, 2015 
    • P. Llull, X. Yuan, X. Liao, J. Yang, D. Kittle, L. Carin, G. Sapiro, and D. J. Brady, "Coded Aperture Compressive Temporal Color Imaging" for compressed sensing and its application, 2014 

    Patents

    1. X. Yuan, “Block Modulating Video and Image Compression Codec", filed 2020.
    2. X. Yuan, M. Qiao and X. Liu, “Polarization Sensitive Compressive Spectral Optical Coherent Tomography", EP20187056.5, filed 2020.
    3. X. Yuan, M. Qiao and X. Liu, “Apparatus, Systems and Methods for Compressive Sensing", EP20179849.3, filed 2020.
    4. X. Yuan, M. Qiao and X. Liu, “Single-pixel Compressive Sensing Optical Coherence Tomography", EP20182724.3, filed 2020.
    5. X. Yuan, M. Coss, M. Qiao and X. Liu, "Joint Field-of-View and Temporal Compressive Imaging", filed 2019.
    6. X. Yuan, P. Wilford, M. Qiao and X. Liu, "Mask Calibration for Compressive Spectral Imaging", filed 2019.
    7. X. Yuan, P. Wilford, M. Qiao and X. Liu, "Joint Sampling Object Auto-correlation and Compressive Measurement for Compressive Spectral Optical Coherence Tomography", filed 2019.
    8. C. Geng, X. Yuan and H. Huang, "System and method for wireless time-of-arrival localization", filed 2019.
    9. X. Yuan and P. Wilford, ``Apparatus and Methods for Detecting Light", EP3477246A1, filed 2018.
    10. S. Jalali and X. Yuan, "Method and Apparatus for Reconstructing A Signal Captured by A Snapshot Compressive Sensing System", O2019185992A1, filed 2018.
    11. X. Yuan, "Apparatus, Systems and Methods for Detecting Light", EP3477246A1, filed 2017.
    12. X. Yuan and P. Wilford, "Video Compressive Sensing with Side Information", US10154204B2, filed 2017 (granted 2018-12-11).
    13. X. Yuan, "Systems and Methods for Video Compressive Sensing Using A Rotating Mask", US10200605B2, filed 2016 (granted 2019-02-05).
    14. X. Yuan, H. Jiang, G. Huang, and P. Wilford, "3D Image Reconstruction Based on Lensless Compressive Image Acquisition", US20180115766A1, filed 2016.
    15.  R. Haimi-Cohen and X. Yuan, "Compressive Sensing with joint Signal Compression and Quality Control", US20180192066A1, filed 2016 (granted 2019-10-08). 
    16.  H. Jiang, G. Huang, P. Wilford, V. Yu, and X. Yuan, "Compressive Imaging Using Structured Illumination", US Patent App. 15/295,512, filed 2016 (granted 2019-07-09). 
    17. R. Haimi-Cohen, X. Yuan, and P. Wilford, ``Protecting Personal Privacy in A Video Monitoring System", US10345681B2, filed 2016 (granted 2019-08-27). 
    18. X. Yuan, G. Huang, H. Jiang, and P. Wilford, "Block-Based Lensless Compressive Image Acquisition", WO2018022337A1, filed 2016.
    19. A. J. Stevens, L. Kovarik, N. D. Browning, A. V. Liyu, X. Yuan, and L. Carin, "Compressive Transmission Microscopy", US20160276129A1, filed 2016 (granted 2019-03-15). 
    20. D. J. Brady, L. Carin, P. Llull and X. Yuan, "System and method for improved computational imaging", EP3143583A1, filed 2016 (granted 2018-10-31).