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Tsung-Han Chan

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Tsung-Han Chan
Former Research Scientist
 

Tsung-Han Chan was a Research Scientist at ADSC. His research interests are in signal processing and convex optimization with a recent emphasis on dynamic medical imaging, hyperspectral remote sensing, and sparse representation based face recognition.

Research Interests: Signal processing, convex optimization, machine learning and computer vision

ADSC Project:

Education:

  • Ph.D., Communications Engineering, National Tsing Hua University, 2009
  • B.Eng., Electrical Engineering, Yuan Ze University, 2004

Experience:

  • Postdoctoral research fellow, National Tsing-Hua University, Sept. 2009 - Aug. 2012
  • Visiting Scholar, Chinese University of Hong Kong, Sept. 2010
  • Visiting student, Virginia Polytechnic Institute and State University, March 2008 -Feb. 2009

Publications and Patents:

  • Journal Submissions: (* corresponding author)
    • K.-K. Lee, W.-K Ma*, X. Fu, T.-H. Chan, and C.-Y. Chi, "A Khatri-Rao subspace approach to blind identification of mixtures of quasi-stationary sources," submitted to Signal Processing - Special Issue on Advances in Sensor Array Processing (under the first-round review).
    • T.-H. Chan*, A. Ambikapathi, W.-K. Ma, and C.-Y. Chi, “Robust affine set fitting and fast simplex volume max-min for hyperspectral endmember extraction,” submitted to IEEE Trans. Geoscience and Remote Sensing(under the second-round review).
  • Journal Publications (* corresponding author):
    • A. Ambikapathi, T.-H. Chan*, C.-Y. Chi, and K. Keizer, “Hyperspectral data geometry based estimation of number of endmembers using p−norm based pure pixel identification,” to appear in IEEE Trans. Geoscience and Remote Sensing, 2012.
    • Y.-C. Lin, T.-H. Chan, C.-Y. Chi, S.-H. Ng, H.-L. Liu, K.-C. Wei, Y.-Y. Wai, C.-C. Wang and J.-J. Wang*, "Blind estimation of arterial input function in dynamic contrast-enhanced MRI using purity maximization," to appear in Magnetic Resonance in Medicine, 2012. 
    • L. Chen**, T.-H. Chan**, P. L. Choyke, E. M. C. Hillman, Z. M. Bhujwalla, C.-Y. Chi, G. Wang, Z. Szabo, Y. Wang*, "CAM-CM: A signal deconvolution tool for In vivo dynamic contrast-enhanced imaging of complex tissues," Bioinformatics, vol. 27, no. 18, pp. 2607-2609, 2011 (**contributed equally).
    • L. Chen, P. L. Choyke, T.-H. Chan, C.-Y. Chi, G. Wang, and Y. Wang*, "Tissue-specific compartmental analysis for dynamic contrast-enhanced MR imaging of complex tumors," IEEE Trans. Medical Imaging, vol. 30, no. 12, pp. 2044-2058, Dec. 2011.
    • A. Ambikapathi, T.-H. Chan*, W.-K. Ma, and C.-Y. Chi, "Chance constrained robust minimum volume enclosing simplex algorithm for hyperspectral unmixing," IEEE Trans. Geoscience and Remote Sensing – Special Issue on Spectral Unmixing of Remotely Sensed Data, vol. 49, no. 11, pp. 4194-4209, Nov. 2011.
    • T.-H. Chan, W.-K. Ma*, A. Ambikapathi, and C.-Y. Chi, "A simplex volume maximization framework for hyperspectral endmember extraction," IEEE Trans. Geoscience and Remote Sensing – Special Issue on Spectral Unmixing of Remotely Sensed Data, vol. 49, no. 11, pp. 4177-4193, Nov. 2011.
    • F.-Y. Wang*, C.-Y. Chi, T.-H. Chan, and Y. Wang, "Nonnegative least correlated component analysis for separation of dependent sources by volume maximization," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 32, no. 5, pp. 875-888, May 2010.
    • T.-H. Chan, C.-Y. Chi*, Y.-M. Huang, and W.-K. Ma, "A convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing," IEEE Trans. Signal Processing, vol. 57, no. 11, pp. 4418-4432, Nov. 2009.
    • T.-H. Chan, W.-K. Ma*, C.-Y. Chi and Y. Wang, "A convex analysis framework for blind separation of non-negative sources," IEEE Trans. Signal Processing, vol. 56, no. 10, pp. 5120–5134, Oct. 2008.
  • Book Chapters:
    • W.-K. Ma, T.-H. Chan, C.-Y. Chi, and Y. Wang, "Convex analysis for non-negative blind source separation with application in imaging," in Chapter 7, Convex Optimization in Signal Processing and Communications, Editors: D. P. Palomar and Y. C. Eldar, UK: Cambridge University Press, 2010.
  • Selected Conference Publications:
    • Kui Jia, T.-H. Chan, and Yi Ma, "Robust and practical face recognition via structured sparsity," in The European Conference on Computer Vision (ECCV), Firenze, Italy, Oct. 7-13, 2012.
    • T.-H. Chan, Kui Jia, Eliot Wycoff, Chong-Yung Chi and Yi Ma, "Towards optimal design of time and color multiplexing codes," in ECCV, Firenze, Italy, Oct. 7-13, 2012.
    • Zinan Zeng, T.-H. Chan, Kui Jia, and Dong Xu, "Finding correspondence from multiple images via sparse and low-rank decomposition," in ECCV, Firenze, Italy, Oct. 7-13, 2012.
    • (Invited paper) H.-E. Huang, T.-H. Chan, A. Ambikapathi, W.-K. Ma, and C.-Y. Chi, "Outlier-robust dimension reduction and its impact on hyperspectral endmember extraction," in IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), Shanghai, China, June 5-7, 2012.
    • T.-H. Chan, J.-Y. Liou, A. Ambikapathi, W.-K. Ma and C.-Y. Chi, “Fast algorithms for robust hyperspectral endmember extraction based on worst-case simplex volume maximization,” in Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Kyoto, Japan, Mar. 25-30, 2012.
    • T.-H. Chan, C.-J. Song, A. Ambikapathi, C.-Y. Chi, and W.-K. Ma, "Fast alternating volume maximization algorithm for blind separation of non-negative sources," in Proc. IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Beijing, China, Sept. 18-21, 2011.
    • (Best paper award) T.-H. Chan, W.-K. Ma, A. Ambikapathi, and C.-Y. Chi, "Robust endmember extraction using worst-case simplex volume maximization," in Proc. IEEE WHISPERS, Lisbon, Portugal, June 6-9, 2011.
    • (Invited paper) T.-H. Chan, W.-K. Ma, A. Ambikapathi, and C.-Y. Chi, "An optimization perspective on Winter's endmember extraction belief," in Proc. IEEE International Geoscience and Remote Sensing Symposium (IGARSS'11), Sendai, Japan, Aug. 1-5, 2011.
    • A. Ambikapathi, T.-H. Chan, W.-K. Ma, and C.-Y. Chi, "A robust minimum-volume enclosing simplex algorithm for hyperspectral unmixing," in ICASSP, Dallas, Texas, Mar. 14-19, 2010, pp. 1202-1205.
    • (Invited paper) T.-H. Chan, W.-K. Ma, C.-Y. Chi, and A. Ambikapathi, "Hyperspectral unmixing from a convex analysis and optimization perspective," in Proc. IEEE WHISPERS, Grenoble, France, August 26-28, 2009, pp. 1-4.
    • T.-H. Chan, C.-Y. Chi, Y.-M. Huang and W.-K. Ma, "A convex analysis based minimum-volume enclosing simplex algorithm for hyperspectral unmixing," in Proc. IEEE ICASSP, Taipei, Taiwan, April 19-24, 2009, pp. 1089-1092.
    • L. Chen, T.-H. Chan, P. L. Choyke, C.-Y. Chi, G. Wang, and Y. Wang, "Convex analysis and separation of composite signals in DCE-MRI," in Proc. 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), Paris, France, May 14-17, 2008, pp. 1557-1560.
    • T.-H. Chan, L. Chen, P. L. Choyke, C.-Y. Chi, G. Wang, and Y. Wang, "Convex analysis for separation of functional patterns in DCE-MRI: A longitudinal study to antiangiogenic therapy," in Proc. IEEE MLSP, Cancun, Mexico, Oct. 16-19, 2008, pp. 261-266.
    • T.-H. Chan, W.-K. Ma, C.-Y. Chi, and Y. Wang, "Blind separation of non-negative sources by convex analysis: Effective method using linear programming," in Proc. IEEE ICASSP, Las Vegas, Nevada, March 30-April 4, 2008, pp. 3493-3496.
    • T.-H. Chan, W.-K. Ma, C.-Y. Chi, and Y. Wang, "A convex analysis based criterion for blind separation of non-negative sources," in Proc. IEEE ICASSP, Honolulu, Hawaii, April 15-20, 2007, pp. 961-964.

Awards:

  • National Science Council Postdoctoral Research Abroad Program, 2012
  • Best Paper Award, Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), 2011
  • The Best Doctoral Dissertation Award of Chinese Institute of Decision Sciences & Operations Research Society of Taiwan, 2010
  • Outstanding Doctoral Dissertation Award of Chinese Image Processing and Pattern Recognition Society, 2010
  • China Technical Consultants, Inc. Foundation Science and Technology Research Scholarship, 2009
  • National Science Council Graduate Student Study Aboard Program, 2008

Served as Reviewer for:

  • IEEE Trans. Signal ProcessingIEEE Signal Processing LettersSignal Processing
  • IEEE Trans. Geoscience and Remote SensingIEEE Geoscience and Remote Sensing Letters
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • Journal of Real-Time Image Processing
  • Pattern Recognition Letters