Hsing-Kuo Kenneth Pao

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 Area

Publications

Journal Paper

Hsing-Kuo Pao, Alexander Chen, and Jiunn-Chia Huang.
"Road Traffic Forecasting with Unknown Multiple Periodicities and Complex Patterns",
IEEE Transactions on Intelligent Transportation Systems, (accepted) [SCI]

Chih-Hung Lin, Hsing-Kuo Pao and Jian-Wei Liao.
"Efficient Dynamic Malware Analysis Using Virtual Time Control Mechanics",
Computers and Security, (to appeared) [SCI]

Rudy Cahyadi Hario Pribadi and Hsing-Kuo Pao.
"Sparse Tree Structured Representation for Re-identification",
Pattern Recognition, Vol. 60: pp. 394-404, 2016 [SCI]

Hsing-Kuo Pao, Yuh-Jye Lee, and Chun-Ying Huang.
"Statistical Learning Methods for Information Security: Fundamentals and Case Studies",
Applied Stochastic Models in Business and Industry, Vol. 31(2): pp. 97-113, 2015 [SCI]

Kai-Lung Hua, Ge-Ming Chiu, Hsing-Kuo Pao, and Yi-Chi Cheng.
"An Efficient Scheduling Algorithm for Scalable Video Streaming over P2P networks",
Computer Networks, Vol. 57(14): pp. 2856-2868, 2013. [SCI]

Hsing-Kuo Pao, Junaidillah Fadlil, Hong-Yi Lin, and Kuan-Ta Chen.
"Trajectory Analysis for User Verification and Recognition",
Knowledge-Based Systems, Vol. 34: pp. 81-90, 2012. [SCI]

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. 243-262, 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

Er-Chen Huang, Hsing-Kuo Pao, and Yuh-Jye Lee.
"Big Active Learning",
2017 IEEE International Conference on Big Data (IEEE BigData 2017), Boston, USA, Dec. 11-14, 2017.

Tao-Yi Lee, Yuh-Jye Lee, Hsing-Kuo Pao, You-Hua Lin and Yi-Ren Yeh.
"Elastic Motif Segmentation and Alignment of Time Series for Encoding and Classification",
The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS 2017), Time Series Workshop, Long Beach, USA, Dec. 4-9, 2017.

Yuh-Jye Lee, Hsing-Kuo Pao, Shueh-Han Shih, Jing-Yao Lin, and Xin-Rong Chen.
"Compressed Learning for Time Series Classification",
2016 IEEE International Conference on Big Data (IEEE BigData 2016), Washington D. C., USA, Dec. 5-8, 2016.

Alexander Chen, Hsing-Kuo Pao, and Yuh-Jye Lee.
"Online Traffic Speed Forecasting Considering Multiple Periodicities and Complex Patterns",
22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2016), Machine Learning for Large Scale Transportation Systems (LSTS 2016), San Francisco, USA, Aug. 13-17, 2016.

Ghaluh Indah P. S., Junaidillah Fadlil, Rudy Cahyadi H. P., and Hsing-Kuo Pao.
"Text Difficulty Ranking",
IEEE/WIC/ACM Web Intelligence Conference 2015 (WI-IAT 2015), Singapore, Dec. 6-9, 2015.

Xing-Yu Chen, Hsing-Kuo Pao, and Yuh-Jye Lee.
"Efficient Traffic Speed Forecasting Based on Massive Heterogeneous Historical Data",
IEEE International Conference on Big Data (IEEE BigData 2014), Workshop on Large Data Analytics in Transportation Engineering, Washington DC, USA, Oct. 2014.

Erliyah Nurul Jannah and Hsing-Kuo Pao.
"Sensor Reading Prediction using Anisotropic Kernel Gaussian Process Regression",
IEEE International Conference on Internet of Things (iThings 2014), Taipei, Taiwan, Sep. 2014.

Min-Sheng Lin, Chien-Yi Chiu, Yuh-Jye Lee, and Hsing-Kuo Pao.
"Malicious URL Filtering - A Big Data Application",
IEEE International Conference on Big Data (IEEE BigData 2013), Santa Clara, CA, USA, Oct. 2013.

Junaidillah Fadlil, Hsing-Kuo Pao, and Yuh-Jye Lee.
"Anomaly Detection on ITS Data via View Association",
KDD Workshop on Outlier Detection and Description, Chicago, USA, Aug. 2013.

Kai-Lung Hua, Ge-Ming Chiu, Tai-Ling Chin, Hsing-Kuo Pao, Yi-Chi Cheng, and Guan-Ming Su.
"A Novel Scalable Video Streaming Systems on P2P Networks",
International Conference on Computing, Networking and Communications, Multimedia Computing and Communications Symposium, San Diego, USA, Jan. 2013.

Chih-Hung Lin, Chin-Wei Tien, Hsing-Kuo Pao.
"Efficient and Effective NIDS for Cloud Virtualization Environment",
The 4th IEEE International Conference on Cloud Computing Technology and Science (CloudCom 2012), Taipei, Taiwan, Dec. 2012.

Hsing-Kuo Pao, Yan-Lin Chou, and Yuh-Jye Lee.
"Malicious URL Detection Based on Kolmogorov Complexity Estimation",
The 2012 IEEE/WIC/ACM International Conference on Web Intelligence, Macau, Dec. 2012.

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)

Other Interesting Works

Laboratory Information