Associate Professor
Department of Computer Science and Information Engineering
National Taiwan University of Science & Technology.
No. 43 Keelung Rd, Section 4, Taipei 106, Taiwan Email: pao -at- mail.ntust.edu.tw Phone: +886-2-27301065 Fax: +886-2-27301081
B.S. in
Mathematics,
National Taiwan University
M.S. & Ph.D. in Computer Science,
New York University.
| Teaching | Research | Publications | Others |
Machine Learning, Fall, 2010
Game Theory, Fall, 2010
Advanced Machine Learning, Spring, 2010
Algorithms, Spring, 2010
Artificial Intelligence and Machine Learning, Fall, 2009
Algorithms, Spring, 2009
Machine Learning, Fall, 2008
Advanced Machine Learning, Spring, 2008
Algorithms, Spring, 2008
Machine Learning, Fall, 2007
Data Structures, Fall, 2007
Bayesian Theory and Graphical Models, Spring, 2007
Algorithms, Spring, 2007
Machine Learning, Fall, 2006
Data Structures, Fall, 2006
Bioinformatics, Spring, 2006
Database, Spring, 2006
Bayesian Theory and Graphical Models, Fall, 2005
Algorithms, Fall, 2005
Machine Learning, Spring, 2005
Database, Spring, 2005
Bioinformatics, Fall, 2004
Algorithms, Fall, 2004
Machine Learning, Spring, 2004
Database, Spring, 2004
Bioinformatics, Fall, 2003
Algorithms, Fall, 2003
Journal Paper
Chien-Chung Chang, Hsing-Kuo Pao, and Yuh-Jye Lee.
"An RSVM Based Two-teachers-one-student Semi-supervised Learning Algorithm",
Neural Networks, Vol. 25: pp. 57-69, Jan., 2012. [SCI]
Hsing-Kuo Pao, Ching-Hao Mao, Hahn-Ming Lee, Chi-Dong Chen, and Christos Faloutsos.
"An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection",
Journal of Information Science and Engineering,
Vol. 28, no. 2: pp. 221-241, March, 2012. [SCI]
Hsing-Kuo Pao, Kuan-Ta Chen, and Hong-Cheng Chang
"Game Bot Detection via Avatar Trajectories Analysis",
IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2, no. 3, Sep. 2010.
Nava Rubin, Hsing-Kuo Pao, and Davi Geiger
"How do Convexity and Size Affect Figure/Ground Resolution? Theory and Experiments",
Investigative Ophthalmology and Visual Science, Vol. 41, no. 4: 2330B576 Suppl. S Mar 15 2000. [SCI]
Conference Paper
Danai Koutra, Tai-You Ke, U Kang, Duen Horng Polo Chau, Hsing-Kuo Pao, and Christos Faloutsos.
"Unifying Guilt-by-Association Approaches: Theorems and Fast Algorithms",
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD), Athens, Greece, Sep. 2011.
Chien-Chung Chang, Yuh-Jye Lee, and Hsing-Kuo Pao
"A Passive-Aggressive Algorithm for Semi-supervised Learning",
The 2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2010),
Taipei, Nov. 2010
Hsing-Kuo Pao, Ching-Hao Mao, Hahn-Ming Lee, Chi-Dong Chen, and Christos Faloutsos
"An Intrinsic Graphical Signature Based on Alert Correlation Analysis for Intrusion Detection"
The 2010 Conference on Technologies and Applications of Artificial Intelligence (TAAI 2010),
Taipei, Nov. 2010
J. C.-H. Tseng, H.-K. Pao, and C. Faloutsos.
"The Typhoon Track Classification Using Tri-plots and Markov Chain",
2nd International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Valencia, Spain, Oct. 2010.
C.-H. Mao, H.-K. Pao, C. Faloutsos, and H.-M. Lee.
"SBAD: Sequence Based Attack Detection via Sequence Comparison",
ECML/PKDD Workshop on Privacy and Security issues in Data Mining and Machine Learning, Barcelona, Spain, Sep. 2010.
H.-K. Pao, H-Y. Lin, K.-T. Chen, and J. Fadlil.
"Trajectory Based Behavior Analysis for User Verification",
11th International Conference on Intelligent Data Engineering and Automated Learning, Paisley, Scotland, UK, Sep. 2010.[LNCS]
Y.-T. Wu, S.-J. Lin, E.-S. Liu, H.-K. Pao,
C.-H. Mao and H.-M. Lee.
"Cross-Site Scripting Attack Detection Based on Hidden Markov Model",
National Computer Symposium (NCS), 2009.
H.-S. Lin, H.-K. Pao, C.-H. Mao, H.-M. Lee, T. Chen and Y.-J. Lee.
"Adaptive Alarm Filtering by Causal Correlation Consideration in Intrusion Detection",
First KES International Symposium on Intelligent Decision Technologies (IDT), 2009.
K.-T. Chen, H.-K. Pao and H.-C. Chang.
"Game Bot Identification Based on Manifold Learning" (pdf),
7th Workshop on Network and Systems Support for Games (NetGames), Worcester,
Massachusetts, USA, Oct. 21 - 22, 2008. [ACM]
K.-T. Chen, A. Liao, H.-K. Pao and H.-H. Chu.
"Game Bot Detection Based on Avatar Trajectory" (pdf),
7th International Conference on Entertainment Computing, Pittsburgh, USA, Sep. 25 - 27, 2008. [LNCS]
H.-K. Pao, S.-C. Chang and Y.-J. Lee.
"Model Trees for Classification of Hybrid Data Types" (pdf),
6th International Conference on Intelligent Data Engineering and Automated Learning,
Queensland, Australia, July 2005.
H.-K. Pao and J. Case.
"Computing Entropy for Ortholog Detection" (pdf),
International Conference on Computational Intelligence,
Istanbul, Turkey, December 2004.
Y. Lin, J. Case, H.-K. Pao and J. Burnside.
"Predicted Secondary Structure Slightly Enhances Ortholog Detection",
The 8th International Conference on Research in Computational Molecular Biology, San Diego, USA March 2004.
C. Yap, H. Biermann, A. Hertzman, C. Li, J. Meyer,
H.-K. Pao and S. Paxia.
"A Different Manhattan Project: Automatic Statistical Model Generation" (gzipped postscript),
Proc. of the 14th Symposium on Electronic Imaging,
IS&T/SPIE, San Jose, California, USA, January 2002.
H.-K. Pao and D. Geiger.
"A Continuous Shape Descriptor by Orientation Diffusion" (gzipped postscript),
The 3rd International Workshop on EMMCVPR, France, September 2001.
H.-K. Pao, D. Geiger and N. Rubin.
"Measuring Convexity for Figure/Ground Separation" (gzipped postscript),
IEEE International Conference on Computer Vision, Kerkyra, Greece, September 1999.
D. Geiger, Krishnan Kumaran, H.-K. Pao and N. Rubin.
"The Shape of Illusory Figures",
IEEE Signal Processing Society, International Conference on Image Processing,
Kobe, Japan, October 1999.
D. Geiger, H.-K. Pao and N. Rubin.
"Salient and Multiple Illusory Surfaces" (gzipped postscript),
IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Santa Barbara, California, USA, June 1998.
Book Chapter
Y.-J. Lee, Y-R. Yeh and H.-K. Pao.
"Introduction to Support Vector Machines and their Applications in Bankruptcy Prognosis",
in J.-C. Duan, J. E. Gentle, and W. Hardle (editors),
Handbook of Computational Finance, Data Visualization,
Springer-Verlag, 2010.
Y.-C. Chang, Y.-J. Lee, H.-K. Pao, M.-H. Lee and S.-Y. Huang.
"Data Visualization via Kernel Machines",
in C.-H. Chen, W. Hardle and A. Unwin (editors),
Handbook of Computational Statistics (Volume III), Data Visualization,
Springer-Verlag, New York, 2006.
Dissertation
H.-K. Pao
Doctoral Dissertation,
"A Continuous Model for Salient Shape Selection and Representation", New York University, April 2001.
Abstract
Compressed PostScript
PDF
(3.5Mb)->(27.9Mb) (4.5Mb)