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研究員  |  李育杰  
 
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Publications
 
1. 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 (Big Data)," to appear in create.
2. 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)," to appear in create.
3. Min-Sheng Lin, Chien-Yi Chiu, Yuh-Jye Lee, and Hsing-KuoPao, "“Malicious URL Filtering – A Big Data Application“,," to appear in create, volume 2013 IEEE International Conference on Big Data, (Regular paper, accept rate, 17.3%).
4. Chih-Cheng Chang, Li-Jen Chien and Yuh-Jye Lee, "A Novel Framework for Multi-class Classification via Ternary Smooth Support Vector Machin," to appear in create, volume 44, number 6, pages 1235-1244, Pattern Recognition
5. Hsing-Kuo Pao, Yuh-Jye Lee, and Chun-Ying Huang, "Statistical Learning Methods for Information Security: Fundamentals and Case Studies," to appear in create, volume 31, number 2, pages 97-113, Applied Stochastic Models in Business and Industry
6. Chien-Chung Chang, Hsing-Kuo Pao, and Yuh-Jye Lee, "An RSVM based Two-teachers-one-student Semi-supervised Learning Algorithm," to appear in create, volume 25, pages 57-59, Neural Networks
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," to appear in create, volume 73, number 7-9, pages 1501-1512, Neurocomputing , 2010. (SCI)
8. Yuh-Jye Lee, Olvi L. Mangasarian and W. H. Wolberg, "Breast Cancer Survival and Chemotherapy: A Support Vector Machine Analysis," to appear in create, DIMACS Series in Discrete Mathematics and Theoretical Computer Science, Vol. 55, 2000.
9. Chih Chang and Yuh-Jye Lee., "A Non-weakly Balanced Game with Nonempty Bargaining Set," to appear in create, Journal of Mathematical Economics 22, Pages 195-198, 1993
10. Shan-Hung Wu, Man-Ju Chou, 3Chun-Hsiung Tseng, Yuh-Jye Lee, and Kuan-Ta Chen, "Senior Member, IEEE “Detecting In-Situ Identity Fraud on Social Network Services: A Case Study with Facebook“ In ACM WWW 2014 (poster), 2014.," to appear in create.
11. Yuh-Jye Lee, Yi-Ren Yeh, and Yu-Chiang Frank Wang, "Anomaly Detection via Online Over-Sampling Principal Component Analysis," to appear in create, volume 52.
12. Yuh-Jye Lee and Olvi L. Mangasarian, "SSVM: A Smooth Support Vector Machine," to appear in create, Philadelphia IN- FORMS, November 7-10, 1999.
13. Yuh-Jye Lee, Yi-Ren Yeh and Hsing-Kuo Pao, "Introduction to Support Vector Machines and Their Applications in Bankruptcy Prognosis," to appear in create, Handbook of Computational Finance
14. Yuan-chin Ivan Chang, Yuh-Jye Lee, Hsing-Kuo Pao, Mei-Hsien Lee and Su-Yun Huang in Chun-houh ChenWolfgang Härdle and Antony Unwin (editors), "Data Visualization via Kernel Machines," to appear in create, Hand- book of Computational Statistics (Volume III), Data Visualization, 2006.
15. Li-Jen Chien, Chien-Chung Chang and Yuh-Jye Lee, "Variant Methods of Reduced Set Selection for Reduced Support Vector Machines," to appear in create, volume 26, number 1, pages 183-196, Journal of Information Science and Engineering 2010. (SCI)
16. 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," to appear in create, volume 77, number 2-3 Special Issue for Structured Prediction, pages 195-224, Machine Learning 2009(SCI)
17. Yi-Cheng Tseng and Yuh-Jye Lee, "Rank-r updating techniques for fast exact cross-validation," to appear in create, Indus- trial Conference on Data Mining, New York, USA, 2011.
18. 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," to appear in create, Journal of Forecasting, Vol. 28 Issue 6, Pages 512-534, 2009. (SSCI)
19. Yi-Ren Yeh, Su-Yun Huang, Yuh-Jye Lee, "Nonlinear Dimension Reduction with Kernel Sliced Inverse Regression," to appear in create, IEEE Transactions on Knowledge and Data Engineering, Vol. 21, No. 11, Pages 1590-1603, 2009. (SCI)
20. Yuh-Jye Lee, Chien-Chung Chang and Chia-Huang Chao, "Incremental Forward Feature Selection with Application to Microarray Gene Expression Data," to appear in create, Journal of Biopharmaceutical Statistics, Vol. 18, Issue 5, Pages 827-840, 2008. (SCI)
21. Chien-Ming Huang, Yuh-Jye Lee, Dennis K. J. Lin and Su-Yun Huang, "Model Selection for Support Vector Machines via Uniform Design," to appear in create, Computational Statistics and Data Analysis, Vol. 52, Issue 1, Pages 335-346, 2007. (SCI)
22. Yuh-Jye Lee and Su-Yun Huang., "Reduced Support Vector Machines: A Statistical Theory," to appear in create, IEEE Transactions on Neural Networks, Vol. 18, No. 1, Pages 1-13, 2007. (SCI)
23. Yuh-Jye Lee, Wen-Feng Hsieh and Chien-Ming Huang, "ϵ–SSVR: A smooth support vector machine for ϵ–insensitive regression," to appear in create, IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 5, Pages 678-685, 2005. (SCI)
24. Yuh-Jye Lee, Olvi L. Mangasarian and W. H. Wolberg., "Survival-Time Classification of Breast Cancer Patients," to appear in create, Computational Optimization and Applications, 25, Pages 151-166, 2003. (SCI)
25. Yuh-Jye Lee and Olvi L. Mangasarian, "SSVM: A Smooth Support Vector Machine for Classification," to appear in create, Computational Optimization and Applications, 20, Pages 5-22, 2001. (SCI)
26. Wei-Chih Lai, Po-Han Huang, Yuh-Jye Lee, and Alvin Chiang, "A distributed ensemble scheme for non- linear support vector machine," to appear in create, Tenth IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2015, April 7-9, 2015.
27. Xing-Yu Chen, Hsing-Kuo Pao, and Yuh-Jye Lee, "Efficient traffic speed forecasting based on massive heterogenous historical data," to appear in create, 2014 IEEE International Conference on Big Data, October 27-30, 2014.
28. Yang-Chi Shen, Alvin Chiang, Yi-Ren Yeh, and Yuh-Jye Lee, "Continuous monitoring and distributed anomaly detection for ambient factors," to appear in create, 2014 IEEE International Conference on Internet of Things, September 1-3, 2014
29. Link Jaw, and Yuh-Jye Lee, "Engine Diagnostics in the Eyes of Machine Learning," to appear in create, ASME Turbo Expo. 2014: Turbin Technical Conference and Exposition, June 16-20, 2014.
30. 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," to appear in create, ACM 23rd International World Wide Web Conference, WWW ’14, April 7-11, 2014.
31. Min-Sheng Lin, Chien-Yi Chiu, Yuh-Jye Lee, and Hsing-Kuo Pao, "Malicious URL filtering - A big data application," to appear in create, 2013 IEEE International Conference on Big Data, October 6-9, 2013
32. Lin Xu, Yi-Ren Yeh, Yuh-Jye Lee, and Jing Li, "A hierarchical framework using approximated local outlier factor for efficient anomaly detection," to appear in create, The 3rd International workshop on Sensor Networks for Intelligence Gathering and Monitoring, ANT/SEIT, June 25-28, 2013
33. 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," to appear in create, The 13th IAPR Con- ference on Machine Vision Applications (MVA), May 2013, (nominated for MVA 2013 paper awards).
34. Hsing-Kuo Pao, Yan-Lin Chou and Yuh-Jye Lee., "Malicious URL detection based on Kolmogorov com- plexity estimation," to appear in create, The 2012 IEEE/WIC/ACM International Conference on Web Intelligence, Macau, December 4-7, 2012
35. 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," to appear in create, The 26th IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA-2012), Fukuoka, Japan, March 26-29, 2012.
36. 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," to appear in create, IEEE International Conference on Image Processing, Brussels, Belgium, 2011.
37. Li-Jen Chien, Zhi-Peng Kao and Yuh-Jye Lee, "Smooth LASSO for classification," to appear in create, The 2010 Conference on Technologies and Applications of Artificial Intelligence, Hsinchu, Taiwan, 2010
38. Chien-Chung Chang, Yuh-Jye Lee and Hsing-Kuo Pao, "A Passive-Aggressive algorithm for semi- supervised learning," to appear in create, The 2010 Conference on Technologies and Applications of Artificial Intelligence, Hsinchu, Taiwan, 2010
39. Chien-Yi Chiu, Yuh-Jye Lee, Chien-Chung Chang, Wen-Yang Luo and Hsiu-Chuan Huang, "Semi- supervised learning for false alarm reduction," to appear in create, Industrial Conference on Data Mining, Berlin, Ger- many, 2010
40. Li-Jen Chien, Yuh-Jye Lee, Zhi-Peng Kao, and Chih-Cheng Chang, "Robust 1-Norm soft margin smooth support vector machine," to appear in create, International Conference on Intelligent Data Engineering and Automated Learning, Paisley, UK, 2010.
41. Chun-Nan Hsu, Yu-Ming Chang, Han-Shen Huang and Yuh-Jye Lee, "Periodic step-size adaptation for single-pass on-line learning," to appear in create, Neural Information Processing Systems, Vancouver, B.C., Canada, 2009.
42. Yi-Ren Yeh, Zheng-Yi Lee and Yuh-Jye Lee, "Anomaly detection via over-sampling principal component analysis," to appear in create, KES International Symposium on Intelligent Decision Technologies, Himeji, Japan, 2009
43. 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," to appear in create, KES Interna- tional Symposium on Intelligent Decision Technologies, Himeji, Japan, 2009
44. Tsong Song Hwang, Tsung-Ju Lee and Yuh-Jye Lee, "A three-tier IDS via data mining approach," to appear in create, ACM Workshop on Mining Network Data, in conjunction with Joint International Conference on Measurement and Modeling of Computer Systems, San Diego, California, USA, 2006.
45. Yuh-Jye Lee and Yi-Ren Yeh, "Ranking the rules and instances of decision trees," to appear in create, Industrial Conference on Data Mining, Leipzig, Germany, 2006
46. Kun-lin Chiang, Lih-Ren Jen and Yuh-Jye Lee, "A data mining application for personal loan," to appear in create, TAAI Conference, Kaohsiung, Taiwan, 2005.
47. Hsing-Kuo Pao, Shou-Chih Chang and Yuh-Jye Lee, "Model trees for hybrid data type classification," to appear in create, International Conference on Intelligent Data Engineering and Automated Learning, Queensland, Aus- tralia, 2005
48. Chien-Chung Chang and Yuh-Jye Lee, "Generating the reduced set by systematic sampling," to appear in create, Inter- national Conference on Intelligent Data Engineering and Automated Learning, Exeter, UK, 2004
49. Li-Jen Chien and Yuh-Jye Lee, "Clustering model selection for reduced support vector machines," to appear in create, International Conference on Intelligent Data Engineering and Automated Learning, Exeter, UK, 2004
50. Yuh-Jye Lee, Hung-Yi Lo and Su-Yun Huang, "Incremental reduced support vector machines," to appear in create, Inter- national Conference on Informatics, Cybernetics and Systems, Kaohsiung, Taiwan, 2003
51. Yuh-Jye Lee and Chia-Huang Chao, "A data mining application to leukemia microarray gene expres- sion data analysis," to appear in create, International Conference on Informatics, Cybernetics and Systems, Kaohsiung, Taiwan, 2003.
52. Yuh-Jye Lee and Olvi L. Mangasarian, "RSVM: Reduced Support Vector Machines," to appear in create, The First SIAM International Conference on Data Mining, Chicago, 2001.
53. Jain-Shing Wu, Chih-Ta Lin, Yuh-Jye Lee, and Song-Kong Chong, "Keystroke and Mouse Movement Profiling for Data Loss Prevention," create, volume 31, number 1, pages 23-42, May 2015, Journal of Information Science and Engineering
54. Yi-Ren Yeh, Su-Yun Haung, Hsing-Kuo Pao, and Yuh-Jye Lee, "A Review of Reduced Kernel Trick in Machine Learning," create, volume 52, number 1, pages 85-114, April 2014, Journal of the Chinese Statistical Association
55. 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 (TKDE),, volume 25, number 7, pages 1460-1470, (2013), August 2013, IEEE Transactions on Knowledge and Data Engineering (TKDE),
 
 
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