Picture of Xin Yuan

Xin Yuan

Murray Hill, NJ, USA
Video Analysis and Coding Lead Researcher

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

Biography

I am a video analysis and coding lead researcher in Bell Labs, Murray Hill. 

I was a Postdoctoral Associate in Department of Electrical and Computer Engineering, Duke University, Durham, NC, 27708.

Honors and Awards

Best paper award of COSI 2013, 2014
In the COSI conference of OSA

Professional Activities

Reviewer of the IEEE Transactions on Signal Processing

Reviewer of the IEEE Transactions on Image Processing

Reviewer of the SIAM Journal on  Imaging Science

Reviewer of the IEEE Transactions on Vehicular Technology

Reviewer of the IEEE Transactions on Aerospace and Electronic Systems

Reviewer of the IEEE Sensors Journal

Reviewer of the Signal Processing

Reviewer of the Digital Signal Processing

Reviewer of the IET Signal Processing

Reviewer of the PIER

 

Selected Articles and Publications

Journal Papers    

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

2.  M. Yang, L. Sun, X. Yuan, and B. Chen, "Improved Nested Array with Hole-free Di fference Coarray and More Degrees of Freedom", IET Electronics Letters, vol. 52, no. 25, pp. 2068-2070, December 8 2016.

3.   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.

4. F. Renna, L. Wang, X. Yuan, J. Yang, G. Reeves, R. Calderbank, L. Carin and M. R. D. Rodrigues, "Classi cation 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.

5.  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.

6.  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.

7. 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, vol. 33, no. 5, pp. 95-108, September 2016.

8.     X. Yuan, S. Pang, “Structured Illumination Temporal Compressive Microscopy,” Biomedical Optics Express, vol. 7, no. 3, pp. 746-758, 2016.

9.     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).

10.     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.

11.     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).

12.     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.

13.     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.

14.     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.

15.     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.

16.     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.

17. 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.

18. 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.

19. 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.

20. 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.

21. 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).

22. 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.

23. 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.

24. 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.

25. 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.

26. 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.

27. 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.

28. 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.

29. 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.

30. 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.

31. 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.

32. 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.

33. 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.

 

A* conferences

34. 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 (acceptance rate: 568/2500 =23%).

35. Y. Pu, X. Yuan, A. Stevens, C. Li and L. Carin, "A Deep Generative Deconvolutional Image Model," International Conference on Arti cial Intelligence and Statistics (AISTATS), Cadiz, Spain, May 2016 (acceptance rate: 165/537 = 30%).

36. 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, (acceptance rate: 270/1037 = 26%).

37. 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%).

38. 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, (acceptance rate:

540/1807 = 29%).

 

 Conference Papers    

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

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

41. 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.

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

43. 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.

44. 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.

45. X. Yuan and S. Pang, “Structured Illumination Temporal Compressive Microscopy,” Frontier in Optics (FiO), 2015.

46. 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.

47. 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).

48. 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.

49. 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.

50. 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.

51  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.

52. 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.

53. 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.

54. 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).

55. 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).

56. 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).

57. 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).

58. 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).

59. 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.

60. 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.

61. 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,” 8th International Conference on Networked Sensing Systems, 2011.

 

 

Books and Chapters

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, H. Jiang, G. Huang, and P. Wilford, "3D Image Reconstruction Based on Lensless Compressive Image Acquisition", fi led, 2016.

2. . R. Haimi-Cohen, X. Yuan, "Compressive Sensing with joint Signal Compression and Quality Control", fi led, 2016.

3.  H. Jiang, G. Huang, P. Wilford, V. Yu, and X. Yuan, "Compressive Imaging Using Structured Illumination", fi led, 2016.

4.   R. Haimi-Cohen, X. Yuan, and P. Wilford, "Protecting Personal Privacy in A Video Monitoring System", fi led, 2016.

5.  X. Yuan, G. Huang, H. Jiang, and P. Wilford, "Block-Based Lensless Compressive Image Acquisition", filed, 2016.

6. A. J. Stevens, L. Kovarik, N. D. Browning, A. V. Liyu, X. Yuan, and L. Carin, "Compressive Transmission Microscopy", US20160276129, fi led, 2016.

7. Systems and Methods for Image Translation for Computational Imaging United States 62/011,129 Filed May 5, 2014

A new system design and algorithm is invented for Computational Imaging

Inventors: