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 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

 

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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, National Central University, Taiwan.

 

PROFESSIONAL POSITIONS

 

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)

 

 

CURRENT RESEARCH INTERESTS

 

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: 778182838687 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, , , 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.