Publications

Book Chapters:

• Z. Gan, X. Yuan, R. Henao, E. L. Tsalik, and L. Carin " Inference of gene networks associated with the host response to infectious disease" in Big Data Over Networks, S. Cui, A. Hero, Z.-Q. Luo and J. Moura Eds. 2015.

• P. Llull, X. Yuan, X. Liao, J. Yang, D. Kittle, L. Carin, G. Sapiro, and D.J. Brady, “Temporal compressive sensing for video,” in Compressed Sensing and its Applications, H. Boche,R. Calderbank, G. Kutyniok, and J. Vybral, Eds., pp. 41–74. Springer International Publishing, 2015.

Journals:

1. T. Huang, X. Yuan, W. Dong, J. Wu and G. Shi, ``Deep Gaussian Scale Mixture Prior for Image Reconstruction," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023. 

2. Y. Xue, X. Su, S.Zhang and X. Yuan, ``Optical Implementation of Multi-scale Masked Autoencoder," APL Photonics, 2023. \item

3. T. Luo, L. Wang and X. Yuan,``Grating Based Coded Aperture Compressive Spectral Imaging to Reconstruct over 190 Spectral Bands from A Snapshot Measurement," Journal of Physics D: Applied Physics, 2023. 

4. Z. Wu, C. Yang, X. Su and X. Yuan, ``Adaptive Deep PnP Algorithm for Video Snapshot Compressive Imaging," International Journal of Computer Vision (IJCV), 2023.

5. Z. Zha, B. Wen, X. Yuan, J. Zhang, J. Zhou， X. Jiang and C. Zhu, ``Multiple Complementary Priors for Multispectral Image Compressive Sensing Reconstruction," IEEE Transactions on Cybernetics, 2023. DOI: 10.1109/TCYB.2023.3251730 

6. Z. Zha, B. Wen, X. Yuan, S. Ravishankar, J. Zhou and C. Zhu, "Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing," IEEE Signal Processing Magazine, vol. 40, no. 1, pp. 32-44, Jan. 2023. 

7. Q. Xu, Y. Shi, X. Yuan and X. X. Zhu, "Universal Domain Adaptation for Remote Sensing Image Scene Classification", IEEE Transactions on Geoscience and Remote Sensing, 2023. 

8. L. Wang, M. Cao, Y. Zhong and X. Yuan, “Spatial-Temporal Transformer for Video Snapshot Compressive Imaging, ”  IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022

9.  M. Qiao and X. Yuan, “Coded aperture compressive temporal imaging using complementary codes and untrained neural networks for high-quality reconstruction,” Optics Letters, 2022.

10. Z. Yu, D. Liu, L. Cheng, Z. Meng, Z. Zhao, X. Yuan and K. Xu, “Deep learning enabled reflective coded aperture snapshot spectral imaging,” Optics Express, vol. 30, 46822-46837, 2022

11. X. Wang, X. Yuan*, and L. Shi*, “Optical coherence tomography---in-situ and high-speed 3D imaging for laser materials processing," Light:  Science & Applications: News and Views, 2022.

12. Z. Zhang#, B. Zhang#, X. Yuan#, S. Zheng, X. Su, J. Suo*, D. J.Brady and Q. Dai*, ``From Compressive Sampling to Compressive Tasking: Retrieving Semantics in Compressed Domain with Low Bandwidth," PhotoniX, 2022. DOI:10.1186/s43074-022-00065-1

13. S. Cheng, Y. Zhang, X. Li, L. Yang, X. Yuan* and Stan Z. Li*, ``Roadmap towards Metaverse: An AI Perspective," The Innovation: Cell Press, 2022.

14. X. Yuan, D. J. Brady, J. Suo, H. Arguello, M. Rodrigues and A. K. Katsaggelos, ``Editorial: Introduction to the Special Issue on Deep Learning for High-Dimensional Sensing," IEEE Journal of Selected Topics in Signal Processing, vol. 16, no. 4, pp. 603-607, June 2022.

15. L. Wang, Z. Wu, Y. Yang* and X. Yuan*, ``Snapshot Spectral Compressive Imaging Reconstruction Using Convolution and Contextual Transformer", Photonics Research, 2022.

16. Z. Chen, S. Zheng, Z. Tong and X. Yuan* ``Physics-driven deep-learning enables temporal compressive coherent diffraction imaging," Optica, vol. 9, pp. 677--680, 2022.

17. Q. Xu, C. Ouyang, T. Jiang, X. Yuan, X. Fan, D. Cheng. “MFFENet & ADANet: A Robust Deep Transfer Learning Method and its Application in High Precision and Fast Cross-scene Recognition of Co-seismic Landslides", Landslides, 2022.

18. B. Zhang, X. Yuan, C. Deng, Z. Zhang, J. Suo and Q. Dai, ``End-to-End Snapshot Compressed Super-resolution Imaging with Deep Optics," Optica, 2022.

19. Z. Cheng, B. Chen, R. Lu, Z. Wang, H. Zhang, Z. Meng and X. Yuan, "Recurrent Neural Networks fro Snapshot Compressive Imaging", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.

20. Z. Zha, B. Wen, X. Yuan, J. T. Zhou, J. Zhou, C. Zhu and A. C. Kot, “Low-Rankness Guided Group Sparse Representation for Image Restoration," IEEE Transactions on Neural Networks and Learning Systems, 2022.

21. R. Lu, B. Chen*, G. Liu, Z. Cheng, M. Qiao and X. Yuan*, "Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network," International Journal of Computer Vision (IJCV), 2021. 

22. Z. Zhang,  C. Deng, Y. Liu, X. Yuan, J. Suo and Q. Dai, "10-mega pixel snapshot compressive imaging with a hybrid coded aperture,"  Photonics Research, 2021.

23. 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).

24. W. He, N. Yokoya and X. Yuan, "Fast Hyperspectral Image Recovery via Non-iterative Fusion of Dual-Camera Compressive Hyperspectral Imaging ," IEEE Transactions on Image Processing, 2021.

25. M. Qiao, Y. Sun, J. Ma, Z. Meng, X. Liu and X. Yuan, "Snapshot Coherence Tomographic Imaging," IEEE Transactions on Computational Imaging, 2021.

26. 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.

27. 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.

28. 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.

29. 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.

30. 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, vol. 2, no. 2, 100100, 2021.

31. M. Qiao, X. Liu and X. Yuan, "Snapshot Temporal Compressive Microscopy Using An Iterative Algorithm with Untrained Neural Networks," Optics Letters, vol. 46, no. 8, pp. 1888-1891, 2021.

32. X. Ma, X. Yuan, C. Fu and G. R. Arce, “LED-based compressive spectral-temporal imaging,” Optics Express,  vol. 29, no. 7, pp. 10698-10715, 2021.

33. 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.

34. Z. Zha, B.Wen, X. Yuan, J. Zhou, C. Zhu and A. C. Kot, "A Hybrid Structural Sparsication Error Model for Image Restoration," IEEE Transactions on Neural Networks and Learning Systems, 2021. DOI: 10.1109/TNNLS.2021.3057439

35. S. Yang, X. Yan, H. Qin, Q. Zeng, Y. Liang, H. Arguello and X. Yuan, "Mid-Infrared Compressive Hyperspectral Imaging", Remote Sensing, 13, 741, 2021.

36. S. Zheng,  Y. Liu, Z. Meng, M. Qiao, Z. Tong, X. Yang, S. Han, X. Yuan, "Deep Plug-and-Play Priors for Spectral Snapshot Compressive Imaging ,"  Photonics Research，vol. 9, pp. B18-B29, February, 2021. Code: https://github.com/zsm1211/PnP-CASSI.

37. Q. Xu, X. Yuan and 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.

38. Q. Xu, X. Yuan and C. Ouyang, "Class-aware Domain Adaptation for Semantic Segmentation of Remote Sensing Images," IEEE Transactions on Geoscience and Remote Sensing, 2020. 

39. 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.

40. 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.

41. L. Pan, C. Deng, Z. Bo, X. Yuan, D. Zhu, W. Gong and S. Han, "Experimental investigation of chirped amplitude modulation Heterodyne ghost imaging," Optics Express, vol. 28, pp. 20808-20816, 2020.

42. Z. Meng, M. Qiao, J. Ma, Z. Yu, K. Xu, and X. Yuan, "Snapshot Multispectral Endomicroscopy," Optics Letters, vol. 45, pp. 3897-3900, 2020. Code: https://github.com/mengziyi64/SMEM 

43. Z. Zha, X. Yuan, J. Zhou, C. Zhu and B. Wen,"Image Restoration via Simultaneous Nonlocal Self-Similarity Priors," IEEE Transactions on Image Processing, 2020.

44. 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, 2020.

45. P. Yang, L. Kong, X.-Y. Liu, X. Yuan and G. Chen, "Shearlet Enhanced Snapshot Compressive Imaging," IEEE Transactions on Image Processing, 2020.

46. P. Peng, S. Jalali and X. Yuan, "Solving Inverse Problem via Auto-encoders," IEEE Journal on Selected Areas in Information Theory, 2020.

47. 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), 2020.  (*Corresponding author).  Code and data at: https://github.com/mq0829/DL-CACTI 

48. M. Qiao, X. Liu and  X. Yuan*, "Snapshot spatial-temporal compressive imaging," Optics Letters, 2020, doi:10.1364/OL.386238.  (*Corresponding author).

49. X. Yuan and R. Haimi-Cohen, "Image Compression Based on Compressive Sensing: End-to-End Comparison with JPEG," IEEE Transactions on Multimedia, 2020. doi:10.1109/TMM.2020.2967646

50. M. Qiao and X. Yuan*, "A Realistic phase screen model for forward multiple-scattering media," Optics Letters, 2020. doi: 10.1364/OL.383923 (*Corresponding author).

51. Z. Zha, X. Yuan, B. Wen, J. Zhou, J. Zhang and C. Zhu, "A Benchmark to Sparse Coding: When Group Sparsity Meets Rank Minimization," IEEE Transactions on Image Processing, 2019.

52. 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, 2019. doi: 10.1109/TIP.2019.2958309

53. 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.  doi: 10.1109/LWC.2019.2941878.

54. J. Ding, M. Yang, B. Chen and X. Yuan, "A Single Triangular SS-EMVS Aided High Accuracy DOA Estimation Using A Multi-scale L-shaped Sparse Array," EURASIP Journal on Advances in Signal Processing, 44 (2019) doi:10.1186/s13634-019-0642-4.

55. 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. doi: 10.1109/TIT.2019.2940666.

56. 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. doi: 10.1049/iet-rsn.2018.5536.

57. 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 (TPAMI) , vol. 41, no. 12, pp. 2990-3006, 1 Dec. 2019. doi: 10.1109/TPAMI.2018.2873587 (* equal contribution).  code

58. X. Yuan, "Adaptive Step-size Iterative Algorithm for Sparse Signal Recovery," Signal Processing, vol. 152, pp. 273-285, November 2018. code

59. 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.

60. Z. Zha, X. Zhang, Y. Wu, Q. Wang, X. Liu, L. Tang and X. Yuan, "Non-Convex Weighted L_p Nuclear Norm based ADMM Framework for Image Restoration," Neurocomputing, vol. 311, pp. 209-224, October 2018.

61. M. Yang, A. M. Haimovich, X. Yuan, L. Sun and B. Chen, "A Unified Array Geometry Composed of Multiple Identical Subarrays with Hole-free Difference Coarrays for Underdetermined DOA Estimation," in IEEE Access, vol. 6, pp. 14238-14254, 2018.

62. 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, vol. 6, pp. 9807–9818, 2018.

63. X Yuan, and Y. Pu, “Parallel Lensless Compressive Imaging via Deep Convolutional Neural Networks," Optics Express, vol. 26, no. 2, pp. 1962-1977, 2018.

64. M Yang, L Sun, X Yuan, 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.

65. Y. Sun, X. Yuan, and S. Pang, ``Compressive high-speed stereo imaging," Optics Express, vol. no. 15, pp. 18182-18190, July 2017.

66.  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.

67. X. Yuan, Y. Sun, and S. Pang, “Compressive Video Sensing with Side Information," Applied Optics, 56(10), 2697-2704, April 2017. code

68. X. Yuan, "Compressive dynamic range imaging via Bayesian shrinkage dictionary learning", Optical Engineering, 55(12), 123110 (Dec 22, 2016). 

69. 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

70. 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. code

71. 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.

72. 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. code

73. 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.

74. X. Cao, T. Yue, X. Lin, S. Lin, X. Yuan, Q. Dai, Lawrence Carin and D. Brady, "Computational Snapshot Multi-spectral Cameras: Towards Dynamic Capture of the Spectral World," IEEE Signal Processing Magazine, 2016

75. X. Yuan, S. Pang, “Structured Illumination Temporal Compressive Microscopy," Biomedical Optics Express, 7(3), pp. 746-758, 2016.

76. P. Llull, X. Yuan, L. Carin, and D. J. Brady, “Image translation for single-shot focal tomography,” Optica,  2, 822-825 (2015). (reported at: http://www.sciencedaily.com/releases/2015/09/150917110004.htm)

77. 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.

78.  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,2015. (* equal contribution)

79. 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, 2015.

80. 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.

81.  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, September, 2015. code

82. 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.

83. E. L. Tsalik, R. J. Langley, D. L. Dinwiddie, N. A. Miller, B. Yoo, J. C van Velkinburgh, L. D. Smith, I. Thi_ault, 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.

84. 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.

85. X. Yuan, V. Rao, S. Han and L. Carin, “Hierarchical In_nite Divisibility for Multiscale Shrinkage, ” IEEE Transactions on Signal Processing, vol. 62, no. 17, pp. 4363- 4374, September 1, 2014.

86. 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.

87. 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. code

88. 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. (Top Downloaded Article in Image Processing from OSA Journals in 2013). code

89. 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.

90. 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.

91. X. Yuan, K. T. Wong and 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.

92. F. Luo and 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.

93. Y. I. Wu, K. T. Wong, X. Yuan, S.-K. Lau and 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.

94. X. Yuan, K. T. Wong, Z. Xu and 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.

95. 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.

96. 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.

97. Z. Xu and X. Yuan, “Cramer-Rao Bounds of Angle-of-Arrival & Polarisation Estimation for Various Triads,” IET Microwaves, Antennas and Propagation, vol. 6, no. 15, pp. 1651-1664, 2012.

98. 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.

99. 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.

100. 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. code

Conferences:

1. L. Wang, M. Cao and X. Yuan, ``EfficientSCI: Densely Connected Network with Space-time Factorization for Large-scale Video Snapshot Compressive Imaging," IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

2. J. Zhang, Y. Zhang, J. Gu, Y. Zhang, L. Kong, and Xin Yuan, "Accurate Image Restoration with Attention Retractable Transformer," International Conference on Learning Representations (ICLR), 2023. (Spotlight, notable-top-25%).

3. Y. Zhao, S. Zheng, and Xin Yuan*, "Deep Equilibrium Models for Snapshot Compressive Imaging," AAAI conference on Artificial Intelligence (AAAI), 2023.

4. Z. Chen, Y. Zhang, J. Gu, Y. Zhang, L. Kong, X. Yuan, “Cross Aggregation Transformer for Image Restoration," Neural Information Processing Systems (NeurIPS), 2022.

5. Y. Cai, J. Lin, H. Wang, X. Yuan, H. Ding, Y. Zhang, R. Timofte, Luc Van Gool, “Degradation-Aware Unfolding Half-Shuffle Transformer for Spectral Compressive Imaging," Neural Information Processing Systems (NeurIPS), 2022.

6. C. Yang, S. Zhang and X. Yuan*, ``Ensemble Learning Priors Driven Deep Unfolding for Scalable Snapshot Compressive Imaging", European Conference on Computer Vision (ECCV), 2022.

7. J. Wang, Y. Zhang, X. Yuan, Z. Meng, Z. Tao, ``Modeling Mask Uncertainty in Hyperspectral Image Reconstruction", European Conference on Computer Vision (ECCV), 2022.

8. J. Lin, Y. Cai,  X. Hu, H. Wang, X. Yuan, Y. Zhang, R. Timofte, L. Van Gool, ``Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction", European Conference on Computer Vision (ECCV), 2022.

9. X. Hu, Y. Cai, J. Lin, H. Wang, X. Yuan, Y. Zhang, R. Timofte, L. Van Gool, ``HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

10. Y. Cai, J. Lin, X. Hu, H. Wang, X. Yuan, Y. Zhang, R. Timofte, L. Van Gool, ``Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

11. 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.

12. 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.

13. 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.

14. 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.

15. X. Yuan, "Various Plug-and-Play Algorithms with Diverse Total Variation Methods for Video Snapshot Compressive Imaging," CAAI International Conference on Artificial Intelligence, 2021. 

16. 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.

17. H. Zhang, Z. Wang, 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.

18. 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.

19. S. Lu, X. Yuan and W. Shi, "An integrated framework for compressive imaging processing on CAVs,” in ACM/IEEE Symposium on Edge Computing (SEC), November 2020.

20. 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. Code: https://github.com/BoChenGroup/BIRNAT 

21. Z. Meng, J. Ma and X. Yuan, "End-to-End Low Cost Compressive Spectral Imaging with Spatial-Spectral Self-Attention," European Conference on Computer Vision, August, 2020. Code: https://github.com/mengziyi64/TSA-Net 

22. 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 & Expo (ICME), London, UK, July, 2020 (oral).

23. 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. Code: https://github.com/liuyang12/PnP-SCI 

24. 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.

25. P. Peng, S. Jalali and X. Yuan, "Auto-Encoders for Compressed Sensing", Neural Information Processing Systems (NeurIPS) workshop, Vancouver, Canada, December 2019.

26. J. Ma, X-Y. Liu, Z. Shou, X. Yuan, "Deep Tensor ADMM-Net for Snapshot Compressive Imaging," IEEE International Conference on Computer Vision (ICCV), Seoul, Korea, October, 2019. (acceptance rate: 1076/4303 = 25%).

27. 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. (acceptance rate: 1076/4303 = 25%) (*Corresponding author.).

28. 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.

29. S. Jalali and  X. Yuan, "Solving Linear Inverse Problems Using Generative Models", IEEE International Symposium on Information Theory (ISIT), Paris, France. July 2019.

30. 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.

31. X. Miao, X. Yuan*, and P. Wilford, "Deep Learning for Compressive Spectral Imaging," OSA Digital Holography and 3-D Imaging, Bordeaux, France, May, 2019.

32. Z. Zha and X. Yuan, "Joint Patch-Group Based Sparse Representation for Image Inpainting," Asian Conference on Machine Learning (ACML), Beijing, China, November 2018.

33. X. Yuan and Y. Pu, "Deep Learning for Lensless Compressive Imaging," Microscopy & Microanalysis 2018 Meeting, Baltimore, Maryland, August, 2018.

34. S. Jalali and X. Yuan, "Compressive Imaging via One-shot Measurements," IEEE International Symposium on Information Theory (ISIT), Colorado, USA, June 2018 (Oral).

35. X. Zhang, X. Yuan, and L. Carin, "Nonlocal Low-Rank Tensor Factor Analysis for Image Restortaion," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, Utah, USA, June, 2018.

36. 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).

37. 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.

38. 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).

39. X. Yuan, Y. Pu, “Convolutional Factor Analysis Inspired Compressive Sensing," IEEE International Conference on Image Processing (ICIP), Beijing, China, September, 2017 (Oral).

40. X. Yuan, Y. Sun and S. Pang “Compressive Temporal RGB-D Imaging," OSA Imaging and Applied Optics, San Francisco, California, USA, June, 2017 (Oral).

41. 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).

42. X. Yuan, Y. Sun, and S. Pang, ``Compressive Video Sensing with Side Information," SPIE Commercial + Scientific Sensing and Imaging, Anaheim, USA, April, 2017.

43. 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.

44. X. Yuan, "Generalized Alternating Projection Based Total Variation Minimization for Compressive Sensing," IEEE International Conference on Image Processing (ICIP), Phoenix, Arizona, USA, September, 2016. code

45. X. Yuan, and S. Pang "Compressive Video Microscope via Structured Illumination," IEEE International Conference on Image Processing (ICIP), Phoenix, Arizona, USA, September, 2016 (Oral).

46. X. Yuan, Y. Sun, and S. Pang, "Compressive Temporal Stereo-Vision Imaging," Computational Optical Sensing and Imaging (COSI), Heidelberg, Germany, July, 2016.

47. 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.

48. Y. Pu, X. Yuan, A. Stevens, C. Li and L. Carin, "A Deep Generative Deconvolutional Image Model," International Conference on Artficial Intelligence and Statistics(AISTATS), Cadiz, Spain, May 201

49.  L. Wang, F. Renna, X. Yuan, M. Rodrigues, R. Calderbank, and L. Carin, "A General Framework for Reconstruction and Classi.cation from Compressive Measurements with Side Information," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Shanghai, China, March 2016.

50. 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.

51. X. Yuan, S. Pang, “Structured Illumination Temporal Compressive Microscopy," Frontier in Optics (FiO), 2015.

52. A. Stevens, L. Kovarik, P. Abellan, X. Yuan, L Carin, and N.D. Browning, "TEM Video Compressive Sensing," Microscopy & Micro analysis 2015 Meeting, Portland, Oregon, August, 2015.

53. 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. code

54. 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).

55. 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.

56. 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.

57. F. Renna, L. Wang, X. Yuan, J. Yang, G. Reeves, R. Calderbank, L. Carin and M. R. D. Rodrigues, “Classication and Reconstruction of Compressed GMM Signals with Side Information," IEEE International Symposium on Information Theory (ISIT), Hong Kong, June, 2015.

58. 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.

59. 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.

60. X. Yuan, J. Huang and R. Calderbank, “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.

61. 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.

62. 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. code

63. 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).

64. 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).

65. 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).

66. 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).

67. 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).

68. 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.

69. 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.

70. K. T. Wong, Y. I. Wu, 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”, the 8th International Conference on Networked Sensing Systems, 2011.

Technical Reports:

1. X. Yuan, "Joint DOA and Polarization Estimation with Sparsely Distributed and Spatially Non-Collocating Dipole/Loop Triads,"  arXiv:1308.0072, 2013.

2. X Yuan, P Llull, DJ Brady, and L Carin ``Tree-Structure Bayesian Compressive Sensing for Video", arXiv:1410.3080, 2014.

Talks:

1.  X. Yuan,  J. Yang, G. Sapiro, and L. Carin, "Robust Principle Component Analysis based Real-Time Leave-Bag-Behind Detection", Duke Workshop on Sensing and Analysis of High-Dimensional Data,July, 2013.

2. P. Llull, X. Yuan, X. Liao, J. Yang, L. Carin, G. Sapiro, and D. J. Brady, "Compressive Sensing for Video With a Passive Coding Element", Duke Workshop on Sensing and Analysis of High-Dimensional Data,July, 2013.

3. T.-H.Tsai, R. Zhu, X. Yuan, and D. J. Brady, “Spatial Light Modulator Based Spectral Polarization Imaging”, Frontiers in Optics, October, 2013.

4. Y. Xie, T.-H. Tsai, X. Yuan, D. J. Brady and S. Cumber, “Compressive Acoustic Imaging with Metamaterials”, Duke ECE Graduate Workshop, January, 2014.

5. T.-H.Tsai, R. Zhu, X. Yuan, and D. J. Brady, “Spatial Light Modulator Based Spectral Polarization Imaging”, Duke ECE Graduate Workshop, January, 2014.

Papers in Chinese:

1. X. Yuan, F. Luo & L. R. Zhang, "Study of the implementation of data communication in the real-time digital circuit", Electronic Science and Technology, vol. 22, no. 6, pp. 49-51, June 2009.

2. X. Yuan, L. Cao, F. Luo & L. R. Zhang, "Study of compensation of ship speed in ship-borne radar", Ship Science and Technology, vol. 32, no. 2, pp. 48-50, February 2010.