• 師資陣容

    • 行政技術人員

李育杰 YUH-JYE LEE 合聘教授
  • 威斯康辛大學麥迪遜分校計算科學博士
  • 03-5712121 # 56420

經歷

【工作經驗】
台灣科技大學資訊工程系副教授 2007年8月 - 2013年1月
台灣科技大學資訊工程系助理教授 2002年8月 - 2007年7月
國立中正大學資訊工程系助理教授 2001年8月 - 2002年7月
靜宜大學應用數學系兼任助理教授 2005年8月 - 2006年7月
美國威斯康辛大學麥迪遜分校計算科學系研究員 1998年-2001年
美國威斯康辛大學麥迪遜分校計算科學系助教 1996年-2001年

【學術獎項】
2010 2005-2010高被引論文獎ELSEVIER
2010年度台科大優秀研究獎
2009年台科大優秀成果獎
2008年台科大優秀教學成果獎
2007年台科大優秀教學獎
2006年台科大優秀教學獎

研究興趣

Big Data & Data Science Data Mining Machine Learning Numerical Optimization Operations Research Information Security

實驗室

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  • 03-5712121 #   

研究計畫

科技部計畫 (MOST/NSC)
2014–2016 Solve Extremely Large Classification Problem via Online Learning Algorithms and MapReduce Framework
2013–2015 Making Fusion Between the Range of Anomaly Detection Algorithms in Order to Obtain Solution that Equivalent to Single and Strong Algorithm
2013–2014 Continuous User Identification via Text Classification and Data MiningI
2010–2013 Cloud Service Defense-in-depth Security Technology Research and Development (Main)
2010–2013 Anomaly Detection Based on Could Clients Behavior Profiling (Component 1)
2009–2010 Anomaly Detection via Online Over-Sampling Principal Component Analysis

產學合作(英特爾公司與台灣大學資訊工程學系)
Funded by Intel corporation, NSC and National Taiwan University
2012–2015 Distributed Anomaly Detection Systems for M2M PI Applications

資策會:
2013 Time Series Missing Data Imputation and Data Fusion
2012 Abnormal Behavior of the Virtual System Modeling Co-

趨勢科技:
2011 A Machine Learning Approach for Malicious URLs PI Detection

中華電信實驗室:
2010 Distributed and Hierarchical Intrusion Detection Co-
2009 and Event Analysis System Intrusion Detection and Event Analysis System

木屋科技(Supported by SBIR)
2009 Expert System for Database Performance and PI Security Protection System

代表著作

(A) Refereed Papers:
1. 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, No. 2, Pages 97-113, 2015. (SCI)
2. Jain-Shing Wu, Chih-Ta Lin, Yuh-Jye Lee, and Song-Kong Chong. “Keystroke and Mouse Movement Profiling for Data Loss Prevention”, Journal of Information Science and Engineering, Vol. 31, No. 1, Pages 23-42, 2015. (SCI)
3. Yi-Ren Yeh, Su-Yun Haung, Hsing-Kuo Pao, and Yuh-Jye Lee. “A Review of Reduced Kernel Trick in Machine Learning”, Journal of the Chinese Statistical Association, Vol. 52, No. 1, Pages 85-114, 2014.
4. Yuh-Jye Lee, Yi-Ren Yeh, and Yu-Chiang Frank Wang. “Anomaly Detection via Online Over-Sampling Principal Component Analysis”, IEEE Transactions on Knowledge and Data Engineering, Vol. 25, No. 7, Pages 1460-1470, 2013. (SCI)
5. 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, Pages 57-69, 2012. (SCI)
6. Chih-Cheng Chang, Li-Jen Chien and Yuh-Jye Lee. “A Novel Framework for Multi-class Classification via Ternary Smooth Support Vector Machine”, Pattern Recognition, Vol. 44, Issue 6, Pages 1235-1244, 2011. (SCI)
7. Pei-Chun Chen, Kuang-Yao Lee, Tsung-Ju Lee, Yuh-Jye Lee and Su-Yun Huang. “Multiclass Support Vector Classification via Coding and Regression”, Neurocomputing, Vol. 73, Issue 7-9, Pages 1501-1512, 2010. (SCI)
8. Li-Jen Chien, Chien-Chung Chang and Yuh-Jye Lee. “Variant Methods of Reduced Set Selection for Reduced Support Vector Machines”, Journal of Information Science and Engineering, Vol. 26, No. 1, Pages 183-196, 2010. (SCI)
9. Chun-Nan Hsu, Han-Shen Huang, Yu-Ming Chang and Yuh-Jye Lee. “Periodic Step-size Adaptation in Second-order Gradient Descent for Single-pass On-line Structured Learning”, Machine Learning, Vol. 77, Issue 2-3, Special Issue for Structured Prediction, Pages 195-224, 2009 (SCI)
10. Wolfgang Härdle, Yuh-Jye Lee, Dorothea Schäfer and Yi-Ren Yeh. “Variable Selection and Over- sampling in the use of Smooth Support Vector Machines for Predicting the Default Risk of Com- panies”, Journal of Forecasting, Vol. 28 Issue 6, Pages 512-534, 2009. (SSCI)
11. Yi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee. “Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression”, IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 11, Pages 1590-1603, 2009. (SCI)
12. Yuh-Jye Lee, Chien-Chung Chang and Chia-Huang Chao. “Incremental Forward Feature Selection with Application to Microarray Gene Expression Data”, Journal of Biopharmaceutical Statistics, Vol. 18, Issue 5, Pages 827-840, 2008. (SCI)
13. Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin and Su-Yun Huang. “Model Selection for Support Vector Machines via Uniform Design”, Computational Statistics and Data Analysis, Vol. 52, Issue 1, Pages 335-346, 2007. (SCI)
14. Yuh-Jye Lee and Su-Yun Huang. “Reduced Support Vector Machines: A Statistical Theory”, IEEE Transactions on Neural Networks, Vol. 18, No. 1, Pages 1-13, 2007. (SCI)
15. Yuh-Jye Lee, Wen-Feng Hsieh and Chien-Ming Huang. “ϵ–SSVR: A smooth support vector machine for ϵ–insensitive regression”, IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 5, Pages 678-685, 2005. (SCI)
16. Yuh-Jye Lee, Olvi L. Mangasarian and W. H. Wolberg. “Survival-Time Classification of Breast Cancer Patients”, Computational Optimization and Applications, 25, Pages 151-166, 2003. (SCI)
17. Yuh-Jye Lee and Olvi L. Mangasarian. “SSVM: A Smooth Support Vector Machine for Classification”, Computational Optimization and Applications, 20, Pages 5-22, 2001. (SCI)
18. Chih Chang and Yuh-Jye Lee. “ A Non-weakly Balanced Game with Nonempty Bargaining Set”, Journal of Mathematical Economics 22, Pages 195-198, 1993.

(B) Conference Papers:
1. Wei-Chih Lai, Po-Han Huang, Yuh-Jye Lee, and Alvin Chiang, “A distributed ensemble scheme for non- linear support vector machine”, Tenth IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015, April 7-9, 2015.
2. Xing-Yu Chen, Hsing-Kuo Pao, and Yuh-Jye Lee, “Efficient traffic speed forecasting based on massive heterogenous historical data”, 2014 IEEE International Conference on Big Data, October 27-30, 2014.
3. Yang-Chi Shen, Alvin Chiang, Yi-Ren Yeh, and Yuh-Jye Lee, “Continuous monitoring and distributed anomaly detection for ambient factors”, 2014 IEEE International Conference on Internet of Things, September 1-3, 2014.
4. Link Jaw, and Yuh-Jye Lee, “Engine Diagnostics in the Eyes of Machine Learning”, ASME Turbo Expo. 2014: Turbin Technical Conference and Exposition, June 16-20, 2014.
5. Shan-Hung Wu, Man-Ju Chou, Chun-Hsiung Tseng, Yuh-Jye Lee, and Kuan-Ta Chen, “Detecting in-situ identity fraud on social network services: a case study on facebook”, ACM 23rd International World Wide Web Conference, WWW ’14, April 7-11, 2014.
6. Min-Sheng Lin, Chien-Yi Chiu, Yuh-Jye Lee, and Hsing-Kuo Pao, “Malicious URL filtering - A big data application”, 2013 IEEE International Conference on Big Data, October 6-9, 2013.
7. Lin Xu, Yi-Ren Yeh, Yuh-Jye Lee, and Jing Li, “A hierarchical framework using approximated local outlier factor for efficient anomaly detection”, The 3rd International workshop on Sensor Networks for Intelligence Gathering and Monitoring, ANT/SEIT, June 25-28, 2013.
8. Ming-Hen Tsai, Yi-Ren Yeh, Yuh-Jye Lee, and Yu-Chiang F. Wang, “Solving nonlinear SVM in linear time? A Nystrom approximated SVM with applications to image classification,” The 13th IAPR Con- ference on Machine Vision Applications (MVA), May 2013, (nominated for MVA 2013 paper awards).
9. Hsing-Kuo Pao, Yan-Lin Chou and Yuh-Jye Lee. “Malicious URL detection based on Kolmogorov com- plexity estimation”, The 2012 IEEE/WIC/ACM International Conference on Web Intelligence, Macau, December 4-7, 2012.
10. Ding-Jie Huang, Kai-Ting Yang, Chien-Chun Ni, Wei-Chung Teng, Tien-Ruey Hsiang and Yuh-Jye Lee, “Clock skew based client device identification in cloud environments”, The 26th IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA-2012), Fukuoka, Japan, March 26-29, 2012.
11. Yi-Cheng Tseng and Yuh-Jye Lee. “Rank-r updating techniques for fast exact cross-validation”, Indus- trial Conference on Data Mining, New York, USA, 2011.
12. Yu-Wei Chao, Yi-Ren Yeh, Yu-Wen Chen, Yuh-Jye Lee, and Yu-Chiang Frank Wang, “Locality-constrained group sparse representation for robust face recognition,” IEEE International Conference on Image Processing, Brussels, Belgium, 2011.
13. Li-Jen Chien, Zhi-Peng Kao and Yuh-Jye Lee. “Smooth LASSO for classification”, The 2010 Conference on Technologies and Applications of Artificial Intelligence, Hsinchu, Taiwan, 2010.
14. 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, Hsinchu, Taiwan, 2010.
15. Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen-Yang Luo and Hsiu-Chuan Huang. “Semi- supervised learning for false alarm reduction”, Industrial Conference on Data Mining, Berlin, Ger- many, 2010.
16. Li-Jen Chien, Yuh-Jye Lee, Zhi-Peng Kao, and Chih-Cheng Chang. “Robust 1-Norm soft margin smooth support vector machine”, International Conference on Intelligent Data Engineering and Automated Learning, Paisley, UK, 2010.
17. Chun-Nan Hsu, Yu-Ming Chang, Han-Shen Huang and Yuh-Jye Lee. “Periodic step-size adaptation for single-pass on-line learning”, Neural Information Processing Systems, Vancouver, B.C., Canada, 2009.
18. Yi-Ren Yeh, Zheng-Yi Lee and Yuh-Jye Lee. “Anomaly detection via over-sampling principal component analysis”, KES International Symposium on Intelligent Decision Technologies, Himeji, Japan, 2009.
19. Heng-Sheng Lin, Hsing-Kuo Pao, Ching-Hao Mao, Hahn-Ming Lee, Tsuhan Chen and Yuh-Jye Lee. “Adaptive alarm filtering by causal correlation consideration in intrusion detection”, KES Interna- tional Symposium on Intelligent Decision Technologies, Himeji, Japan, 2009.
20. Tsong Song Hwang, Tsung-Ju Lee and Yuh-Jye Lee. “A three-tier IDS via data mining approach”, ACM Workshop on Mining Network Data, in conjunction with Joint International Conference on Measurement and Modeling of Computer Systems, San Diego, California, USA, 2006.
21. Yuh-Jye Lee and Yi-Ren Yeh. “Ranking the rules and instances of decision trees”, Industrial Conference on Data Mining, Leipzig, Germany, 2006.
22. Kun-lin Chiang, Lih-Ren Jen and Yuh-Jye Lee. “A data mining application for personal loan”, TAAI Conference, Kaohsiung, Taiwan, 2005.
23. Hsing-Kuo Pao, Shou-Chih Chang and Yuh-Jye Lee. “Model trees for hybrid data type classification”, International Conference on Intelligent Data Engineering and Automated Learning, Queensland, Aus- tralia, 2005.
24. Chien-Chung Chang and Yuh-Jye Lee. “Generating the reduced set by systematic sampling ”, Inter- national Conference on Intelligent Data Engineering and Automated Learning, Exeter, UK, 2004.
25. Li-Jen Chien and Yuh-Jye Lee. “Clustering model selection for reduced support vector machines ”, International Conference on Intelligent Data Engineering and Automated Learning, Exeter, UK, 2004.
26. Yuh-Jye Lee, Hung-Yi Lo and Su-Yun Huang. “Incremental reduced support vector machines”, Inter- national Conference on Informatics, Cybernetics and Systems, Kaohsiung, Taiwan, 2003.
27. Yuh-Jye Lee and Chia-Huang Chao. “A data mining application to leukemia microarray gene expres- sion data analysis”, International Conference on Informatics, Cybernetics and Systems, Kaohsiung, Taiwan, 2003.
28. Yuh-Jye Lee and Olvi L. Mangasarian. “RSVM: Reduced Support Vector Machines”, The First SIAM International Conference on Data Mining, Chicago, 2001.
29. Yuh-Jye Lee and Olvi L. Mangasarian. “SSVM: A Smooth Support Vector Machine”, Philadelphia IN- FORMS, November 7-10, 1999.
(C) Others:
1. Yuh-Jye Lee, Yi-Ren Yeh and Hsing-Kuo Pao, “Introduction to Support Vector Machines and Their Applications in Bankruptcy Prognosis,” Handbook of Computational Finance. (http://www.rmi.nus. edu.sg/csf/webpages/)
2. Yuan-chin Ivan Chang, Yuh-Jye Lee, Hsing-Kuo Pao, Mei-Hsien Lee and Su-Yun Huang in Chun-houh Chen, Wolfgang Härdle and Antony Unwin (editors). “Data Visualization via Kernel Machines”, Hand- book of Computational Statistics (Volume III), Data Visualization, 2006.
3. Yuh-Jye Lee, Olvi L. Mangasarian and W. H. Wolberg. “Breast Cancer Survival and Chemotherapy: A Support Vector Machine Analysis”, DIMACS Series in Discrete Mathematics and Theoretical Computer Science, Vol. 55, 2000.