**誠徵博碩士班研究生做新年度的科技部的計畫**

**計畫名稱****: **深度學習與迴旋式的類神經網路於震測圖形識別之研究

執行起迄: 2016.08.01
至 2017.07.31

**名額****: ****多名博士生及碩士生**

**研究領域****:** Deep learning, neural networks, machine
learning, pattern recognition, image processing, geophysical applications.

**待優。**

聯絡: 黃教授 kyhuang@cs.nctu.edu.tw Tel: 03-5712121 ext. 56620

-------------------------------------------------------------------------------------------------------------------------

黃國源教授 **Kou-Yuan Huang, Professor**

Department of Computer Science

National Chiao Tung University

Hsinchu, Taiwan 30010

Office: EC337. Lab:
EC130B.

Tel: (03)5712-121 Ext.
56620 (O)

Fax: (03)5721-490

E-mail: kyhuang@cs.nctu.edu.tw

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Research:

| 實驗室資訊
| 實驗室成員 | 研究成果目錄(發表著作) 與國科會計畫|

Teaching:

| 課程資訊
| Error Correction for my Neural Networks book |

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**EDUCATION**

Ph.D. in Electrical
Engineering, 1983, Purdue University, USA.

MS in Electrical Engineering, 1980, Purdue University, USA.

MS in Geophysics (Phi Tau Phi Honor), 1977,
National Central University, Taiwan.

BS in Physics 1973,

Professor, Department of Computer
Science, National Chiao Tung University, Taiwan |
1988 – Present |

Chairman, Department of Computer and
Information Science, National Chiao Tung
University, Taiwan |
1989 – 1990 |

Assistant Professor, Department of
Computer Science, University of Houston -
University Park |
1983 – 1988 |

Visiting Scholar,
Department of Earth Science, Rice University |
1997 (Spring) |

Visiting Scholar,
Department of Electrical Engineering, Princeton University |
1993 (Spring) |

Visiting Scholar, Department of
Electrical and Computer Engineering, University of Texas at
Austin |
1992 (Fall) |

Deep
learning, neural networks, machine learning, pattern recognition, image
processing, geophysical applications.

**HONORS & AWARDS**

1.
2 times excellent (outstanding)
and 7 times research award from National Science Council, Taiwan.

(a) 國科會研究獎勵優良獎: 78 (1989)、80 (1991)年度。

(b) 國科會甲種研究獎勵: 77、81、82、83、86、87 年度。2000.

2.
Excellent teaching award from
Ministry of Education (教育部教學優良獎勵), 1990.

3.
Phi Tau Phi Scholastic Honors in
1977 & 1990.

4.
2009 best thesis award, IEEE
Geoscience and Remote Sensing Society, Taipei Chapter.

5.
2010 best thesis award, IEEE
Geoscience and Remote Sensing Society, Taipei Chapter.

6.
2011 best thesis award, IEEE
Geoscience and Remote Sensing Society, Taipei Chapter.

7.
2012 best thesis award, IEEE
Geoscience and Remote Sensing Society, Taipei Chapter.

8.
2013 best thesis award, IEEE
Geoscience and Remote Sensing Society, Taipei Chapter.

**A.
JOURNAL PAPERS**

1.
[84a] Kou-Yuan Huang and King-Sun
Fu, "Detection of bright spots in seismic signal using tree
classifiers," Geoexploration 23, 1984,
pp.121-145.

2.
[84b] Kou-Yuan Huang and King-Sun
Fu, "Detection of bright spots in seismic signal using tree
classifiers," Methods in Geochemistry and Geophysics, Vol.22: Seismic
Signal Analysis and Discrimination III, edited by C. H. Chen, 1984, pp.121-145.

3.
[85a] Kou-Yuan Huang and King-sun
Fu, "Syntactic pattern recognition for the classification of Ricker
wavelets," Geophysics, Vol.50, No.10, October, 1985, pp.1548-1555.

4.
[85b] Kou-Yuan Huang and K. S.
Fu, "Syntactic pattern recognition for the recognition of bright spots,"
Pattern Recognition, Vol.18, no.6, 1985, pp.421-428.

5.
[85c] K. Y. Huang, K. S. Fu, S.
W. Cheng, and T. H. Sheen, "Image processing of seismogram: (A) Hough
transformation for the detection of seismic patterns (B) Thinning processing in
the seismogram," Pattern Recognition, Vol.18, no.6, 1985, pp.429-440.

6.
[87a] K. Y. Huang, T. H. Sheen,
S. W. Cheng, Z. S. Lin, and K. S. Fu, "Seismic image processing: (I) Hough
transformation, (II) Thinning processing, (III) Linking processing,"
Handbook of Geophysical Exploration: Section I. Seismic Exploration, Vol.20,
Pattern Recognition & Image Processing, 1987, edited by Fred Aminzadeh, pp.79-109.

7.
[87b] Kou-Yuan Huang and King-sun
Fu, "Detection of seismic bright spots using pattern recognition
techniques," Handbook of Geophysical Exploration: Section I. Seismic
Exploration, Vol.20, Pattern Recognition & Image Processing, 1987, edited
by Fred Aminzadeh, pp.263-301.

8.
[87c] Huang, Kou-Yuan and Fu, K.
S., "Decision-theoretic approach for classification of Ricker wavelets and
detection of seismic anomalies," IEEE Transactions on Geoscience and
Remote Sensing, March 1987, pp. 118-123. (2015 Rank: 31/248=0.125. I.F.: 2.933)

9.
[87d] K. Y. Huang, K. S. Fu, S.
W. Cheng, and Z. S. Lin, "Syntactic pattern recognition and Hough transformation
for automatic reconstruction of seismic patterns," Geophysics, Vol.52,
No.12, December, 1987, pp.1612-1620.

10.
[90] Kou-Yuan Huang, "Branch
and bound search for automatic linking process of seismic horizons,"
Pattern Recognition, Volume 23, No. 6, pp.657-667, 1990.

11.
[92] Kou-Yuan Huang and Dar-Ren Leu, "Modified Earley
parsing and MPM method for attributed grammar and seismic pattern
recognition," Journal of Information Science and Engineering, Vol.8,
pp.541-565, 1992.

12.
[94] Jar-Long Wang and Kou-Yuan Huang,
“Sequential classification on nodes growing of perceptron and multi-layer
perceptron,” Journal of Fortune Institute of Technology, Vol.1, 1994, pp.67-77.

13.
[95] Kou-Yuan Huang and Dar-Ren Leu, "Recognition of Ricker wavelets by syntactic
analysis," Geophysics, Vol.60, No.5, 1995, pp.1541-1549.

14.
[97a] Kou-Yuan Huang, "Comments on the
originality of the paper, "VLSI cell placement on arbitrarily-shaped
rectilinear regions using neural networks with calibration nodes","
IEICE Transactions on Fundamentals of Electronics, Communications and Computer
Sciences, Vol.E80-A, No.4, April 1997, pp.795-796.

15.
[97b] K. Y. Huang, H. T. Yen, and
C. S. Han, "Neural networks for robust recognition of printed Chinese
characters," Computer Processing of Oriental Languages, Vol.10, No.4,
1997, pp.425-442.

16.
[97c] Jar-Long Wang and Kou-Yuan
Huang, “地質反射波形辨識之研究,” Journal of Fortune Institute
of Technology, Vol.4, 1997, pp.321-324.

17.
[99] Kou-Yuan Huang, "Neural
networks for seismic principal components analysis,” IEEE Transactions on Geoscience
and Remote Sensing, Vol.37, No.1, 1999, pp.297-311. (2015 Rank: 31/248=0.125.
I.F.: 2.933)

18. [00] Suh-Yin Lee, Cheng Chen, Shiupyng
Shieh, Kou-Yuan Huang, Ying-Dar Lin, Yung-Song Lin, “Multimedia interactive
information system,” Science Development, Vol. 28, no.5, 2000, pp.358-364.

李素英、陳正、謝續平、黃國源、林盈達、林永松, “多媒體互動式資訊系統之研發”, 科學發展月刊, 第 二 十 八 卷, 第 五 期, 2000, pp.358-364.

19.
[08] Kou-Yuan Huang, Kai-Ju Chen, Jiun-Der You, and
An-Ching Tung, “Hough transform neural network for pattern detection and
seismic applications,” a special issue of Neurocomputing, Vol. 71, Oct. 2008,
pp.3264-3274. (accepted rate: 29/114 from papers presented in
ICONIP 2006 conference and submitted to journal for publication) (Rank:
28/121=0.2314. I.F.: 2.005)

20. [09] Kou-Yuan Huang
and Kai-Ju Chen, “Simulated annealing for pattern detection and seismic
applications,” Journal of Information Science and Engineering, Vol. 25, No. 3, May 2009,
pp.793-805.

21. [11] Kou-Yuan Huang
and Kai-Ju Chen, “Multilayer
Perceptron for Prediction of 2006
World Cup Football Game,”
Advances in Artificial Neural Systems, Hindawi
Publishing Co., Volume 2011, Article ID 374816, 8 pages,
doi:10.1155/2011/374816, 2011.

22. [14] Kou-Jen Huang, Kou-Yuan Huang, I-Chieh
Chen, and Luke K. Wang, “Simulated Annealing for Sequential Pattern Detection
and Seismic Applications,” IEEE Journal of Selected Topics in Applied Earth
Observations and Remote Sensing, Vol. 7, No. 12, December 2014, pp. 4849-4859.
(2015 Rank: 33/248=0.133. I.F.: 2.827)

**B. BOOKS AND BOOK CHAPTERS**

[77] Kou-Yuan Huang, ** Research of geophysical prospecting at
western coastal area of Miaoli**, Taiwan, Master Thesis, Institute of
Geophysics, National Central University, Taiwan, 1977.

[80] Kou-Yuan Huang, ** Analytic signal representation in the
synthetic seismogram of bright spots**, Master Thesis in EE, Purdue
University, 1980.

[83] Kou-Yuan Huang, ** Detection of bright spots in seismic signal
using pattern recognition techniques**, Ph.D. Thesis in EE, 1983, Purdue
University.

[86a] K. Y. Huang, T. H. Sheen, S. W. Cheng, and K. S. Fu, "Seismic
image processing: (I) Hough transformation, (II) Thinning processing," in ** Mathematical
and Computational Methods in Seismic Exploration and Reservoir Modeling**,
ed. by William E. Fitzgibbon, SIAM Publications, Philadelphia, PA, 1986,
pp.184-186.

[86b] K. Y. Huang and K. S. Fu, "Tree classification and syntactic
pattern recognition for the detection of bright spots," in ** Mathematical
and Computational Methods in Seismic Exploration and Reservoir Modeling**,
ed. by William E. Fitzgibbon, SIAM Publications, Philadelphia, PA, 1986,
pp.195-197.

[92a] Kou-Yuan Huang, "Pattern recognition to seismic
exploration," in ** Automated Pattern Analysis in Petroleum
Exploration**, edited by Ibrahim Palaz and Sailes K. Sengupta, Springer-Verlag, New York, pp.121-154, 1992.

[92b] Kou-Yuan Huang, "Expert systems for seismic interpretations and
validation of stacking velocity functions," in ** Automated Pattern Analysis in
Petroleum Exploration**, edited by Ibrahim Palaz
and Sailes K. Sengupta,
Springer-Verlag, New York, pp.99-120, 1992.

[99] Kou-Yuan Huang, “Syntactic pattern recognition,” invited paper in C.
H. Chen, L. F. Pau, and P. S. P. Wang, eds., ** Handbook of Pattern
Recognition & Computer Vision**, World Scientific Publishing, 2nd
edition, 1999, pp.61-103.

[00]
Kou-Yuan Huang, 類神經網路與圖型識別(** Neural Networks and
Pattern Recognition)**, Weikeg Publishing Co., Taipei, Taiwan, September 2000, 214
pages.

[02]
Kou-Yuan Huang, ** Syntactic Pattern Recognition for Seismic Oil Exploration**,
World Scientific Publishing Co., Singapore, in Series in Machine Perceptron and
Artificial Intelligence, Vol. 46, 2002, 133 pages.

[03a]
Kou-Yuan Huang, 類神經網路與圖型識別(** Neural Networks and
Pattern Recognition)**, Weikeg Publishing Co., Taipei, Taiwan, March 2003, 406
pages.

[03b] Kou-Yuan Huang, “Seismic horizon picking using a Hopfield
network," invited, in ** Geophysical Applications of Artificial Neural
Networks and Fuzzy Logic**, edited by William Sandham
and Miles Leggett, Kluwer Academic Publishers, December 2003, pp.45-56.

[03c] Kou-Yuan Huang, "Seismic principal components analysis using
neural networks,” invited, in ** Geophysical Applications of Artificial
Neural Networks and Fuzzy Logic**, edited by William Sandham
and Miles Leggett, Kluwer Academic Publishers, December 2003, pp.103-122.

[15] 黃國源 (Kou-Yuan Huang), 類神經網路 (*Neural Networks*), 全華
Publishing Co., Taipei, Taiwan, September 2015, 592 pages.

**C. CONFERENCE PAPERS (Recent 5 years****，大部分為最頂級的國際會議****)**

[11a] Kou-Yuan Huang and Yueh-Hsun
Hsieh, “Very fast
simulated annealing for pattern detection and seismic applications,” 2011 IEEE International Geoscience
and Remote Sensing Symposium (IGARSS), Vancouver, Canada,
July 24-29, pp.499-502.

[11b] Kou-Yuan
Huang, Liang-Chi Shen, and Li-Sheng Weng, “Well log data inversion using radial basis
function network,” 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Vancouver, Canada, July 24-29, pp.4439-4442.

[11c] Kou-Yuan
Huang, Liang-Chi Shen, and Li-Sheng Weng, “Radial basis function network for well log
data inversion,” 2011 International Joint Conference on Neural Networks (2011 IJCNN), San Jose, Ca., July 31-August 5, pp.1093-1098.

[11d] Kou-Yuan Huang and Yueh-Hsun
Hsieh, “Seismic pattern detection using very fast
simulated annealing,” Society
of Exploration Geophysicists (SEG) 2011 International Meeting, San Antonio, Texas,
Oct.18-22, pp. 1181-1186.

[11e] Kou-Yuan
Huang, Liang-Chi Shen, and Li-Sheng Weng, “Well log data inversion using radial basis
function network,” Society of Exploration Geophysicists (SEG) 2011
International Meeting, San Antonio, Texas, Oct.18-22, pp. 499-503.

[12a] Kou-Yuan Huang, Liang-Chi Shen, Kai-Ju
Chen, and Ming-Che Huang, “Multilayer perceptron
learning with particle swarm optimization for well log data inversion,” 2012
International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia,
Jun.10~15, pp.2463-2468.

[12b] Kou-Yuan Huang, Kai-Ju Chen, Jia-Rong Yang, “Seismic velocity picking by simulated
annealing,” 2012
IEEE International Geoscience and Remote Sensing
Symposium (IGARSS), Munich, Germany, July
22-27, pp.6079-6082.

[12c] Kou-Yuan Huang, Liang-Chi Shen, Kai-Ju
Chen, Ming-Che Huang, “Multilayer perceptron with
particle swarm optimization for well log data inversion,” 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, July 22-27, pp.6103-6106.

[12d] Kou-Yuan Huang, Liang-Chi Shen, Kai-Ju Chen and Ming-Che Huang, “Particle swarm
optimization in multilayer perceptron learning for well log data inversion,” Society
of Exploration Geophysicists (SEG) 2012 International Meeting, Las Vegas, Nevada,
Nov.4-8, SEG Technical Program Expanded Abstracts 2012, pp. 1-5. http://library.seg.org/doi/abs/10.1190/segam2012-0649.1,

**DOI http://dx.doi.org/10.1190/segam2012-0649.1**.

[13a]
Kou-Yuan
Huang, Liang-Chi Shen, Kai-Ju Chen and Ming-Che Huang, “Multilayer
perceptron with genetic algorithm for well log data inversion,” 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, Australia, pp.1544-1547, July 21-26, 2013.

[13b]
Kou-Yuan Huang, Kai-Ju Chen, and Jia-Rong Yang, “Seismic velocity picking
by genetic algorithm,” 2013 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Melbourne, Australia, pp. 1548-1551, July 21-26, 2013.

[13c]
Kou-Yuan Huang, Kai-Ju Chen, and Jia-Rong Yang, “Genetic algorithm
for seismic velocity picking,” 2013 International Joint Conference on
Neural Networks (IJCNN), Dallas, Texas,
USA, pp. 2722-2729, August 4-9, 2013.

[13d] Kou-Jen Huang, Kai-Ju
Chen, Kou-Yuan Huang, Luke K.
Wang, and Ying-Liang Chou, “Sequential pattern detection and
seismic applications using simulated annealing,” Computer Vision, Graphics, and
Image Processing (第二十六屆電腦視覺、圖學暨影像處理研討會),**
**I-Lan, Taiwan, B5-6, 8 pages, August 18-20, 2013.

[14] Kou-Yuan Huang and Jia-Rong Yang,
“Hopfield neural network for seismic velocity picking,” 2014 International Joint Conference on
Neural Networks (IJCNN), Beijing, China, pp. 1146-1153,
July 6-11, 2014.

[15a] Kou-Yuan
Huang, Liang-Chi Shen, and Jiun-Der You, “Proof of
hidden node number in MLP and experiments on well log data inversion,” 2015 International
Joint Conference on Neural Networks (IJCNN), Killarney,
Ireland, July 12-17, 2015, pp. 1-6. DOI: 10.1109/IJCNN.2015.7280447

[15b] Kou-Yuan Huang and* *Jia-Rong Yang, **“**Seismic velocity picking using Hopfield neural network**,” **Society of Exploration Geophysicists
(SEG) 2015 International Meeting, New Orleans, Louisiana, Oct. 18-23, 2015, SEG
Technical Program Expanded Abstracts 2015, pp. 5317-5321.

**FUNDING (Recent 5 years****，每年均有國科會及科技部計畫****)**

1. “The
study of simulated annealing for optimization of seismic velocity picking,” (模擬退火系統於震測速度選取之最佳化研究) August 2010 to July 2011, NSC
99-2221-E-009-134.

2. “The study of
simulated annealing and genetic algorithm for optimization of seismic velocity
picking,” (模擬退火與基因演算於震測速度選取之最佳化之研究) August 2011 to July 2012, NSC
100-2221-E-009-139.

3. “The study
of neural network methods for well log data inversion,” (類神經網路方法於井測資料反推之研究) August 2012
to July 2013, NSC 101-2221-E-009 -147.

4. “Multilayer
Perceptron with Swarm Intelligence Training Algorithm for Well Log Data
Inversion,” (多層感知器結合群體智能訓練法於井測反推之研究) August 2013 to July 2014, NSC
102-2221-E-009 -165.

5. “The Study of Hopfield Neural
Network for Optimization of Seismic Velocity Picking,” (霍氏類神經網路於震測速度選取之最佳化之研究) 2014/08/01 ∼ 2015/10/31, MOST 103-2221-E-009 -142.

6. “The
study of neural network methods for well log data inversion (II),” (類神經網路方法於井測資料反推之研究 (II)) August 2015 to July 2016,
MOST 104-2221-E-009-182.

**COURSES TAUGHT**

**Undergraduate**: Digital logic design, PASCAL,
Data structure, Numerical analysis, Compiler design, Artificial intelligence
& languages (LISP), Applied mathematics, Probability, Linear algebra,
Digital signal processing, Neural networks, Pattern recognition, FORTRAN
programming language, MATLAB programming language.

**Graduate**: Neural networks, Pattern recognition,
Syntactic pattern recognition, Image processing, Artificial intelligence,
Robotics, Digital signal processing, Geophysical pattern recognition,
Multimedia interactive processing system, Multimedia and communication
engineering, Remote sensing image processing, Independent component analysis.