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研究員  |  李育杰  
 
contact
vita
education
experience
interests
honors
publications
patents
 
 
 
 
 
Publications
 
Journal Articles
 
1. Hsing-Kuo Pao, Fong-Fuei Lee, Yuh-Jye Lee., "Dealing with Interleaved Event Inputs for Intrusion Detection," Journal of Information Science and Engineering, volume 35, number 1, pages 223-242, January 2019.
2. Weizhe Gu, Wei-Po Chen, Chun-Hsu Ko, Yuh-Jye Lee, Jein-Shan Chen., "Two smooth support vector machines for ε -insensitive regression," Computational Optimization and Applications, volume 70, number 1, pages 171-199, January 2018.
3. Alvin Chiang, Esther David, Yuh-Jye Lee, Guy Leshem, Yi-Ren Yeh., "A study on anomaly detection ensembles," Journal of Applied Logic, volume 21, pages 1-13, May 2017.
4. 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, volume 31, number 1, pages 23-42, April 2015.
5. 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, volume 31, number 2, pages 97-113, March 2015.
6. Yi-Ren Yeh, Su-Yun Haung, Hsing-Kuo Pao, and Yuh-Jye Lee, "A Review of Reduced Kernel Trick in Machine Learning," 中國統計學報, volume 52, number 1, pages 85-114, April 2014.
7. 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, volume 25, number 7, pages 1460-1470, July 2013.
8. 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, volume 25, number 7, pages 1460-1470, January 2013.
9. Chien-Chung Chang, Hsing-Kuo Pao, and Yuh-Jye Lee, "An RSVM based Two-teachers-one-student Semi-supervised Learning Algorithm," Neural Networks, volume 25, pages 57-59, November 2012.
10. 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, volume 44, number 6, pages 1235-1244, June 2011.
11. 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, volume 73, number 7-9, pages 1501-1512, March 2010.
12. 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, volume 26, number 1, pages 183-196, January 2010.
13. 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, volume 77, number 2-3, Special Issue for Structured Prediction, pages 195-224, December 2009.
14. Yi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee, "Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression," IEEE Transactions on Knowledge and Data Engineering, volume 21, number 11, pages 1590-1603, November 2009.
15. 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 Companies," Journal of Forecasting, volume 28, number 6, pages 512-534, September 2009.
16. Yuh-Jye Lee, Chien-Chung Chang and Chia-Huang Chao, "Incremental Forward Feature Selection with Ap- plication to Microarray Gene Expression Data," Journal of Biopharmaceutical Statistics, volume 18, number 5, pages 827-840, February 2008.
17. Shan-Hung Wu, Man-Ju Chou, 3Chun-Hsiung Tseng, Yuh-Jye Lee, and Kuan-Ta Chen, "Detecting in Situ Identity Fraud on Social Network Services: A Case Study with Facebook," IEEE Systems Journal, volume 11, number 1, pages 2432-2443, December 2007.
18. 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, volume 52, number 1, pages 335-346, September 2007.
19. Yuh-Jye Lee and Su-Yun Huang., "Reduced Support Vector Machines: A Statistical Theory," IEEE Transactions on Neural Networks, volume 18, number 1, pages 1-13, February 2007.
20. 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, volume 17, number 5, pages 678-685, June 2005.
21. Yuh-Jye Lee, Olvi L. Mangasarian and W. H. Wolberg., "Survival-Time Classification of Breast Cancer Patients," Computational Optimization and Applications, number 25, pages 151-166, April 2003.
22. Yuh-Jye Lee and Olvi L. Mangasarian, "SSVM: A Smooth Support Vector Machine for Classification," Computational Optimization and Applications, number 20, pages 5-22, January 2001.
23. Chih Chang and Yuh-Jye Lee., "A Non-Weakly Balanced Game with Nonempty Bargaining Set," Journal of Mathematical Economics, volume 22, pages 195-198, February 1993.
 
 
Conference Papers
 
1. Sin Cheng Ciou, Pin Jui Chen, Elvin Y. Tseng, and Yuh-Jye Lee, "Federated Learning for Sparse Principal Component," 2023 IEEE International Conference on Big Data (Big Data), IEEE, Sorrento, Italy, December 2023.
2. Yan-Ru Jhuo, Chi-Yu Chen, Yu-Hsuan Yang, Hsing-Chuan Hsieh, Yuh-Jye Lee, "Continuous Monitoring of the Ambient Factors via ε-Smooth Support Vector Regression," 13th International Conference on Ubiquitous Computing and Ambient Intelligence, UCAmI, Toledo, Spain, December 2019.
3. Hsiang-Hsuan Chen, Yuh-Jye Lee, "Distributed Consensus Reduced Support Vector Machine," 2019 IEEE International Conference on Big Data (Big Data), IEEE, Los Angeles, CA, USA, July 2019.
4. Adrian Chriswanto, Hsing-Kuo Pao, Yuh-Jye Lee,, "A Unified Approach on Active Learning Dual Supervision," International Joint Conference on Neural Networks, IJCNN, Budapest, Hungary, July 2019.
5. Er-Chen Huang, Hsing-Kuo Pao, Yuh-Jye Lee, "Big active learning," 2017 IEEE International Conference on Big Data, IEEE, Boston, MA, USA, December 2017.
6. Menachem Domb, Guy Leshem, Elisheva Bonchek-Dokow, Esther David, Yuh-Jye Lee, "Sparse sampling for sensing temporal data - building an optimized envelope," Technologies and Applications of Artificial Intelligence, TAAI, Hsinchu, Taiwan, December 2016.
7. Yuh-Jye Lee, Hsing-Kuo Pao, Shueh-Han Shih, Jing-Yao Lin, Xin-Rong Chen, "Compressed learning for time series classification," 2016 IEEE International Conference on Big Data, IEEE, Washington DC, USA, December 2016.
8. Jain-Shing Wu, Yuh-Jye Lee, Te-En Wei, Chih-Hung Hsieh, Chia-Min Lai, "ChainSpot: Mining Service Logs for Cyber Security Threat Detection," 2016 IEEE Trustcom/BigDataSE/ISPA, IEEE, Tianjin, China, August 2016.
9. Alexander Chen, Hsing-Kuo Pao, 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), San Francisco, USA, August 2016.
10. Wei-Chih Lai, Po-Han Huang, Yuh-Jye Lee, and Alvin Chiang, "A Distributed Ensemble Scheme for nonlinear Support Vec- tor Machine," 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP, April 2015.
11. 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 2014.
12. 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 2014.
13. Link Jaw, and Yuh-Jye Lee, "Engine Diagnostics in the Eyes of Machine Learning," ASME Turbo Expo. 2014: Turbin Technical Conference and Exposition, June 2014.
14. 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, pages 401-402, WWW ’14, April 2014.
15. Min-Sheng Lin, Chien-Yi Chiu, Yuh-Jye Lee, and Hsing-KuoPao, "Malicious URL Filtering – A Big Data Application," 2013 IEEE International Conference on Big Data, IEEE, Valley, CA, USA, October 2013.
16. 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 2013.
17. 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 Conference on Machine Vision Applications (MVA), May 2013, nominated for MVA 2013 paper awards
18. 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, December 2012.
19. 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 2012.
20. 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, September 2011.
21. Yi-Cheng Tseng and Yuh-Jye Lee, "Rank-r Updating Techniques for Fast Exact Cross-Validation," Industrial Conference on Data Mining, New York, USA, January 2011.
22. 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, November 2010.
23. 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, November 2010.
24. 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, September 2010.
25. 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, Germany, July 2010.
26. 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, December 2009.
27. 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, April 2009.
28. 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 International Symposium on Intelligent Decision Technologies, Himeji, Japan, April 2009.
29. 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, June 2007.
30. Yuh-Jye Lee and Yi-Ren Yeh, "Ranking the rules and instances of decision trees," Industrial Conference on Data Mining, Leipzig, Germany, January 2006.
31. Kun-lin Chiang, Lih-Ren Jen and Yuh-Jye Lee, "A data mining application for personal loan," TAAI Conference, Kaohsiung, Taiwan, December 2005.
32. 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, Australia, July 2005.
33. 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, August 2004.
34. Chien-Chung Chang and Yuh-Jye Lee, "Generating the Reduced Set by Systematic Sampling," International Conference on Intelligent Data Engineering and Automated Learning, Exeter, UK, August 2004.
35. Yuh-Jye Lee and Chia-Huang Chao, "A Data Mining Application to Leukemia Microarray Gene Expression Data Analysis," International Conference on Informatics, Cybernetics and Systems, Kaohsiung, Taiwan, December 2003.
36. Yuh-Jye Lee, Hung-Yi Lo and Su-Yun Huang, "Incremental Reduced Support Vector Machines," International Conference on Informatics, Cybernetics and Systems, Kaohsiung, Taiwan, December 2003.
37. Yuh-Jye Lee and Olvi L. Mangasarian, "RSVM: Reduced Support Vector Machines," The First SIAM International Conference on Data Mining, Chicago, IL, USA, April 2001.
38. Yuh-Jye Lee, Olvi L. Mangasarian, William H. Wolberg., "Breast cancer survival and chemotherapy: A support vector machine analysis," Discrete Mathematical Problems with Medical Applications 1999, December 1999.
39. Yuh-Jye Lee and Olvi L. Mangasarian, "SSVM: A Smooth Support Vector Machine," Philadelphia INFORMS, November 1999.
 
 
 
Book & Book Chapters
 
1. Yuh-Jye Lee, Yi-Ren Yeh and Hsing-Kuo Pao,, chapter "Introduction to Support Vector Machines and Their Applications in Bankruptcy Prognosis.," "Handbook of Computational Finance," Duan, JC., Härdle, W., Gentle and J. (eds), editors, Springer Handbooks of Computational Statistics, pages 731–761, Springer, Berlin, Heidelberg, January 2011.
2. Yuan-chin Ivan Chang, Yuh-Jye Lee, Hsing-Kuo Pao, Mei-Hsien Lee and Su-Yun Huang,, chapter "Data Visualization via Kernel Machines," "Handbook of Data Visualization," Chun-houh Chen and Wolfgang Härdle and Antony Unwin, editors, Springer Handbooks Comp.Statistics, pages 539-559, Springer, Berlin, Heidelberg, 2008, Hand- book of Computational Statistics (Volume III), Data Visualization, 2006.
3. Yuh-Jye Lee, Olvi L. Mangasarian and W. H. Wolberg,, chapter "Breast Cancer Survival and Chemotherapy: A Support Vector Machine Analysis," Discrete Mathematical Problems with Medical Applications, Ding-Zhu Du, Panos M. Pardalos and Jie Wang, editors, DIMACS Series in Discrete Mathematics and Theoretical Computer Science, volume 55, pages 1-10, AMS and DIMACS, January 2000.
 
 
 
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