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研究員
黃文良 Wen-Liang Hwang

Research Fellow
Ph.D., Computer Science, New York University
Tel: +886-2-2788-3799 ext. 1609 Fax: +886-2-2782-4814
Email: whwang@iis.sinica.edu.tw
http://www.iis.sinica.edu.tw/pages/whwang/eindex.html

Research Description ● Research Fellow, IIS, Academia
Sinica, Taiwan (since 2005-)
Dr. Hwang’s research areas are wavelet analysis, and signal and image processing. As well as ● Associate Research Fellow, IIS,
co-authoring one book and contributing two chapters to other books, he has had several Academia Sinica, Taiwan (1999-
technical papers published in leading journals and conference papers. In 2001, he received 2005)
a national award for distinguished junior researchers in Taiwan. Dr. Hwang is listed on the ● Assistant Research Fellow, IIS,
ISI Highly Cited Research List. He is a co-program director of Academia Sinica’s thematic Academia Sinica, Taiwan (1995-
project on the connectome of the y olfactory computation system. 1999)

● Post-Doctoral Researcher, Depart-
Dr. Hwang’s recent interests are as follows: (1) signal separation model and methods based ment of Mathematics, University
on operators, and sparse and compressive sensing [5,6,8,10]; (2) middle level information of California, Irvine (1993-1994)
processing, including depth and structure from images [9]; and (3) mathematical modeling
for signal and image processing [7]. ● Ph.D. in Computer Science, New
York University, U.S.A.(1993)
● M.S. in Electrical Engineering,
Polytechnique Institute of New
York, U.S.A.(1998)
● B.S. in Nuclear Engineering,
National Tsing Hua University,
Taiwan (1981)

Publications

1. Stephane Mallat and Wen-Liang Hwang, “Singularity Detec- 6. Xiyuan Hu, Silong Peng, and Wen-Liang Hwang, “EMD Re-
tion and Processing with Wavelets”, IEEE Transactions on visited: a New Understanding of the Envelope and Resolving
Information Theory, vol. 38, no. 2, pp. 617-645, March 1992 the Mode-mixing Problem in AM-FM Signals”, IEEE Trans-
(highly cited paper). actions on Signal Processing, vol. 60, no. 3, pp. 1075-1086,
2012.
2. Rene Carmona, Wen-Liang Hwang, and Bruno Torresani,
“Practical Time-Frequency Analysis: Gabor and Wavelet 7. Jinn Ho and Wen-Liang Hwang, “Wavelet Bayesian Network
Transforms, with an Implementation in S,” Academia Press, Image Denosing,” IEEE Transactions on Image Processing,
1998. vol. 22, no. 4, pp. 1277-1290, 2013.

3. Ming-Shing Su, Wen-Liang Hwang, and Kuo-Yourn Cheng, 8. Wen-Liang Hwang and Jinn Ho, “Null Space Component
“Analysis on Multiresolution Mosaic Images,” IEEE Transac- Analysis for Noisy Blind Source Separation”, Technical Re-
tions on Image Processing, vol. 13, no. 7, pp. 952-959, July port, 2013.
2004.
9. Shih-Shuo Tung and Wen-Liang Hwang, “Image depth from
4. Chun-Liang Tu, Wen-Liang Hwang, and Jinn Ho, “Analysis of multiscale deblurring estimation”, Techncal Report, 2014.
Singularities from Modulus Maxima of Complex Wavelets”,
10. Guan-Ju Peng and Wen-Liang Hwang, Re-weighted and
IEEE Transactions on Information Theory, vol. 51, no. 3, pp.
Adaptive Morphology Separation, accepted by SIAM, Journal
1049-1062, March 2005.
on Imaging Sciences, 2014.
5. Silong Peng and Wen-Liang Hwang, “Null Space Pursuit: an
Operator-based Approach to Adaptive Signal Separation”,
IEEE Transactions on Signal Processing, vol. 58, no. 5, pp.
2475-2483, 2010.

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