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1 RESUME Shie-Jue Lee F 1 P ERSONAL I NFORMATION • • • • • • • • • 2 Name: Shie-Jue Lee Sex: Male Date of Birth: August 15, 1955 Affiliation: Department of Electrical Engineering, National Sun Yat-Sen University Phone: +886-7-5252000 ext. 4141 Fax: +886-7-5254199 E-mail: [email protected] URL: http://itlab.ee.nsysu.edu.tw Address: Department of Electrical Engineering National Sun Yat-Sen University, No. 70, Lien-Hai Road, Kaohsiung 80424, Taiwan R ESEARCH I NTERESTS • • • • 3 Data Mining Big Data Analysis Cloud Computing Artificial Intelligence E DUCATION • • • 4 PhD, Computer Science, University of North Carolina at Chapel Hill, USA, 1985-1990 MS, Electrical Engineering, National Taiwan University, 1977-1979 BS, Electrical Engineering, National Taiwan University, 1973-1977 C AREER P OSITIONS • • • • • • • • Director, Information Technologies Research Center, National Sun Yat-Sen University, 2013/07 – present Vice President for Library and Information Services, National Sun Yat-Sen University, 2011/08 – present Chief Executive, National Sun Yat-Sen Cyber University, 2011/08 – present Director, NSYSU-III Joint Research Center, 2009/06 – 2013/06 Associate Dean, Office of Academic Affairs, National Sun Yat-Sen University, 2008/10 – 2011/03 Adjunct Professor, Electrical Engineering Department, National Kaohsiung University, 2007/08 – 2009/01 Chairman, Department of Electrical Engineering, National Sun Yat-Sen University, 2000/08 – 2003/07 Director, Southern Telecommunication Center, National Science Council, 1998/08 – 1999/10 2 • • • • • • 5 M EMBERSHIPS • • • • • • 6 Member, Member, Member, Member, Member, Member, IEEE Society of Systems, Man, and Cybernetics IEEE Computational Intelligence Society Association for Automated Reasoning Institute of Information and Computing Machinery Taiwan Fuzzy Systems Association Taiwanese Association of Artificial Intelligence H ONORS • • • • • • • • • • • • • • • • • • 7 Director, Telecommunication Research Center, Engineering College, National Sun Yat-Sen University, 1997/08 – 2000/07 Professor, Department of Electrical Engineering, National Sun Yat-Sen University, 1994/08 – present Associate Professor, Department of Electrical Engineering, National Sun Yat-Sen University, 1990/08 – 1994/07 Lecturer, Department of Electrical Engineering, National Sun Yat-Sen University, 1983/08 – 1990/07 Project Engineer, Naval Electronic Research Center, 1981/08 – 1983/07 Second Lieutenant, ROC Military Academy, 1979/09 – 1981/07 AND AWARDS Distinguished Academic Research Award, National Sun Yat-Sen University, 2013 Distinguished Industry-University Research Award, National Sun Yat-Sen University, 2013 Distinguished Teaching Award, National Sun Yat-Sen University, 2013 Distinguished Academic Research Award, National Sun Yat-Sen University, 2012 Distinguished Industry-University Research Award, National Sun Yat-Sen University, 2012 Distinguished Teaching Award, National Sun Yat-Sen University, 2012 Best Paper Award, The 2010 Conference on Technologies and Applications of Artificial Intelligence, Hsinchu, Taiwan, November 2010 Best Paper Award, International Conference on Cloud Computing and Virtualization, Singapore, May 2010 Lotfi Zadeh Best Paper Award, International Conference on Machine Learning and Cybernetics, Kunming, China, July 2008 Outstanding Teaching Award, National Sun Yat-Sen University, 2008 Distinguished Mentor Award, National Sun Yat-Sen University, 2008 Best Paper Award, The 7th Conference on Artificial Intelligence and Applications, 2002 Distinguished Paper Award, The Chinese Association of Computers, 1999 Outstanding Research Award, National Sun Yat-Sen University, 1998 Supervisor, Paper Award for Young Researchers, Institute of Electrical Engineering, Taiwan, 1997 Prize Award, Collegiate Competition on Microprocessor Applications Design, Ministry of Education, Taiwan, 1994 Outstanding Teachers Award, Ministry of Education, Taiwan, 1993 Outstanding Teaching Award, National Sun Yat-Sen University, 1993 R ESEARCH P ROJECTS 1) PI, “Multivariate and Multi-Step Time-Series Prediction Modeling Based on Machine Learning Techniques,” MOST-103-2221-E-110-047-MY2, Ministry of Science and Technology, 2014/08/01 – 2016/07/31 2) PI, “A Novel Feature Reduction Approach for High-Dimensional Regression Problems,” MOST103-2221-E-110-054, Ministry of Science and Technology, 2013/08/01 – 2014/07/31 3 3) PI, “Intelligent Illumination Management by Cloud Computing Techniques,” Industrial Technology Research Institute, 2014/3/25 – 2014/11/30 4) PI, “Multivariate Time-Series Analysis and Prediction,” Industrial Technology Research Institute, 2013/12/01 – 2013/08/31 5) PI, “Development of a Data Mining Platform for Chinese e-books,” NSC-102-2622-E-110-004-CC3, National Science Committee, 2013/11/01 – 2014/10/31 6) PI, “Complex-Valued Neural Networks – Development, Applications, and Implementation,” NSC102-2221-E-110-070, National Science Committee, 2013/08/01 – 2014/07/31 7) PI, “Enhanced Accuracy and Adaptability of Cloud-Based System for Magnetism Monitoring and Flotage Recognition,” NSC-101-2622-E-110-011-CC3, National Science Committee, 2012/11/01 – 2013/10/31 8) PI, “Off-Line Prediction of Molten Iron Temperature in Blast Furnace,” China Steel Corporation, 2012/01/01 – 2012/12/31 9) PI, “The Development of a Cloud-Based System for Magnetism Monitoring and Flotage Recognition,” NSC-100-2622-E-110-009-CC3, National Science Committee, 2011/11/01 – 2012/10/31 10) PI, “System Modeling Using Type-2 Fuzzy LogicVDevelopment and Applications ,” NSC-100-2221E-110-083-MY3, National Science Committee, 2011/08/01 – 2014/07/31 11) PI, “Aim for the Top University Plan (Electronic Commerce Center – Web Technologies)”, Ministry of Education, 2011/01/01 – 2014/12/01 12) PI, “The Development of an Intelligent, Cloud-Based Remote Monitoring Management System,” NSC99-2622-E-110-007-CC3, National Science Committee, 2010/11/01 – 2011/10/31 13) PI, “A High-Performance Text Classifier: Development, Application, and MapReduce Implementation,” NSC-99-2221-E-110-064-MY3, National Science Committee, 2010/08/01 – 2013/07/31 14) PI, “Joint Project for Information Innovation, Integration, and Research,” III-99-1668, Institute for Information Industry, 2010/06/01 – 2010/12/31 15) PI, “Investigation on Provision-Demand for Vocational Training of Cloud Technologies,” 990301-07, Southern Vocation Training Center, 2010/04/15 – 2010/07/15 16) PI, “Application of Soft-Computing-Based Learning Techniques to Network Intrusion Detection and Prevention,” NSC-98-2221-E-110-052, National Science Committee, 2009/08/01 – 2010/07/31 17) PI, “Taiwan Research Cloud Project,” Institute for Information Industry, 2009/07/01 – 2010/06/30 18) PI, “Mobile Personalized Information Recommendation Systems for E-Life,” NSC-97-2221-E-110048-MY3, National Science Committee, 2008/08/01 – 2011/07/31 19) PI, “Application of Soft Computing to the Learning of Multimedia Network Knowledge (3/3),” NSC-96-2221-E-110-009, National Science Committee, 2007/08/01 – 2008/07/31 20) PI, “Learning Techniques of Mixed-Mode Support Vector Machines and Their Applications in Data Mining,” NSC-95-2221-E-110-055-MY2, National Science Committee, 2006/08/01 – 2008/07/31 21) PI, “Application of Soft Computing to the Learning of Multimedia Network Knowledge (2/3),” NSC-95-2221-E-110-100, National Science Committee, 2006/08/01 – 2007/07/31 22) PI, “Application of Soft Computing to the Learning of Multimedia Network Knowledge (1/3),” NSC-94-2213-E-110-048, National Science Committee, 2005/08/01 – 2006/07/31 23) PI, “An Intelligent Technique for Detecting Human Objects and Its Application in MPEG-4 Compression Coding (3/3),” NSC-94-2213-E-110-001, National Science Committee, 2005/08/01 – 2006/07/31 24) PI, “Mining Techniques for Spatial and Temporal Data (3/3),” NSC-93-2213-E-110-006, National Science Committee, 2004/08/01 – 2005/07/31 25) PI, “An Integrated Research on Knowledge Discovery Techniques and Related Applications (3/3),” NSC-93-2213-E-110-005, National Science Committee, 2004/08/01 – 2005/07/31 26) PI, “An Intelligent Technique for Detecting Human Objects and Its Application in MPEG-4 Compression Coding (2/3),” NSC-93-2213-E-110-019, National Science Committee, 2004/08/01 – 2005/07/31 27) PI, “Mining Techniques for Spatial and Temporal Data (2/3),” NSC-92-2213-E-110-007, National Science Committee, 2003/08/01 – 2004/07/31 4 28) PI, “An Integrated Research on Knowledge Discovery Techniques and Related Applications (2/3),” NSC-92-2213-E-110-006, National Science Committee, 2003/08/01 – 2004/07/31 29) PI, “A Preliminary Study on Quantum Neural Networks,” NSC-92-2218-E-110-007, National Science Committee, 2003/12/01 – 2004/11/30 30) PI, “An Intelligent Technique for Detecting Human Objects and Its Application in MPEG-4 Compression Coding (1/3),” NNSC-92-2213-E-110-036, ational Science Committee, 2003/08/01 – 2004/07/31 31) PI, “Mining Techniques for Spatial and Temporal Data (1/3),” NSC-91-2213-E-110-025, National Science Committee, 2002/08/01 – 2003/07/31 32) PI, “An Integrated Research on Knowledge Discovery Techniques and Related Applications (1/3),” NSC-91-2213-E-110-024, National Science Committee, 2002/08/01 – 2003/07/31 33) PI, “Static/Dynamic Neuro-Fuzzy Modeling Techniques and Its Application to Speech Recognition (3/3),” NSC-91-2213-E-110-020, National Science Committee, 2002/08/01 – 2003/07/31 34) PI, “Application of Neural-Fuzzy Networks to ATM Traffic Control (2/2),” NSC-90-2213-E-110-013, National Science Committee, 2001/08/01 – 2002/07/31 35) PI, “Static/Dynamic Neuro-Fuzzy Modeling Techniques and Its Application to Speech Recognition (2/3),” NSC-90-2213-E-110-014, National Science Committee, 2001/08/01 – 2002/07/31 36) PI, “Application of Neural-Fuzzy Networks to ATM Traffic Control (1/2),” NSC-89-2218-E-110-002, National Science Committee, 2000/08/01 – 2001/07/31 37) PI, “Static/Dynamic Neuro-Fuzzy Modeling Techniques and Its Application to Speech Recognition (1/3),” NSC-89-2218-E-110-001, National Science Committee, 2000/08/01 – 2001/07/31 38) PI, “A Study on Strategies and Techniques for Wireless Mobile Systems,” SYS8913, TransAsia Telecommunication Corporation, 2000/08/01 – 2001/07/31 39) PI, “A Study on the Neural Networks for Image Compression (2/2),” NSC-89-2213-E-110-010, National Science Committee, 1999/08/01 – 2000/07/31 40) PI, “A Study on the Neural Networks for Image Compression (1/2),” NSC-88-2213-E-110-010, National Science Committee, 1998/08/01 – 1999/07/31 41) PI, “South Telecommunication Research Center (III),” NSC-88-2218-E-110-008, National Science Committee, 1998/08/01 – 1999/07/31 42) PI, “A Study on Fuzzy Knowledge Acquisition, Reasoning and Verification,” NSC-87-2213-E-110012, National Science Committee, 1997/08/01 – 1998/07/31 43) PI, “Optimal Morphological Decomposition of Digital Images,” NSC-86-2213-E-110-031, National Science Committee, 1996/08/01 – 1997/07/31 44) PI, “A Comprehensive Logic-Checker in Knowledge Verification /Validation for Rule-Based Expert Systems,” NSC-85-2213-E-110-037, National Science Committee, 1995/08/01 – 1996/07/31 45) PI, “A Study on the Architecture of Neural Networks for Supervised Classification,” NSC-85-2213E-110-035, National Science Committee, 1995/08/01 – 1996/07/31 46) PI, “Parallelization of the Hyper-Linking Automated Reasoning System,” NSC-84-2213-E-110-010, National Science Committee, 1994/08/01 – 1995/07/31 47) PI, “Application of Artificial Intelligence Techniques in Multiple-Faults Diagnosis of Digital Systems,” NSC-83-0408-E-110-004, National Science Committee, 1993/08/01 – 1994/09/30 48) PI, “Application of Expert System Techniques in Design and Planning of Computer Networks,” NSC-82-0408-E-110-139, National Science Committee, 1993/02/01 – 1994/01/31 49) PI, “Compiler Development of an Expert System Language,” NSC-82-0408-E-110-045, National Science Committee, 1992/08/01 – 1993/07/31 50) PI, “Improvement and Application of the Hyper-Linking Automated Reasoning System,” NSC-810408-E-110-509, National Science Committee, 1992/02/01 – 1993/01/31 51) PI, “A Study on Expert System Languages,” , NSC-81-0408-E-110-02, National Science Committee, 1991/08/01 – 1992/07/31 52) PI, “A Study on a High-Efficient Automated Reasoning System,” NSC-80-0408-E-110-05, National Science Committee, 1991/02/01 – 1992/01/31 5 8 S ERVICE ACTIVITIES Editorship • Editorial Advisory Board Member, The Open Conference Proceedings journal, Bentham Science Publishers, 2014 • Editor, Open Journal of Internet of Things, RonPub UG (haftungsbeschränkt), Lübeck, Germany, www.ronpub.com/ojiot, 2013 • Editor, Journal of Internet Technology, 2011 • Editorial Advisory Board Member, The Open Cybernetics & Systemics Journal, Bentham Science Publishers, 2011 Conference Chairmanship • General Chair, International Conference on Fuzzy Theory and Its Applications, Kaohsiung, Taiwan, Nov. 2014 • Special Session Organizer, “Intelligent Information Mining,” International Conference on Machine Learning and Cybernetics, Lanchou, China, Jul. 2014 • Chair, Workshop on Network Information Mining for E-Commerce, Kaohsiung, Taiwan, Feb. 2014 • Chair, “Living with Big Data – New Era of Library Services” Workshop, Kaohsiung, Taiwan, Sep. 2013 • Chair, Workshop on Reading Encouragement and Promotion by Library, Kaohsiung, Taiwan, Aug. 2013 • Chair, Annual Meeting of Digitized-Theses Archives Alliance, Kaohsiung, Taiwan, May 2013 • Chair, Annual Meeting of Chung-Hua Inter-Library Information Cooperation Association, Kaohsiung, Taiwan, May 2013 • Chair, Workshop on Applications of Cloud Computing and Mobile Technologies on Library Services, Kaohsiung, Taiwan, Aug. 2012 • Chair, Workshop on Applications of Cloud Computing and Mobile Technologies on Library Services, Kaohsiung, Taiwan, Aug. 2011 • Special Session Organizer, “Learning methods and Their Applications,” International Conference on Machine Learning and Cybernetics, Qingdao, China, Jul. 2010 • Special Session Organizer, “Intelligent Information Mining,” International Conference on Machine Learning and Cybernetics, Qingdao, China, Jul. 2010 • Program Chair, Conference on Technologies and Applications of Artificial Intelligence, Kaohsiung, Taiwan, 2001 • Program Chair, Workshop on Artificial Intelligence, International Computer Symposium, Tainan, Taiwan, Dec. 1998 • Program Chair, Workshop on Artificial Intelligence, International Computer Symposium, Kaohsiung, Taiwan, Dec. 1996 9 P UBLICATIONS Journal papers 1) R.-F. Xu, T.-T. Chen, and S.-J. Lee, “Weighted Hybrid Learning for Feedforward Neural Networks,” accepted for publication in Journal of Electronic Science and Technology, Mar. 2014. 2) S.-F. Wu, Y.-S. Chiou, and S.-J. Lee, “Multi-Valued Neuron with Sigmoid Activation Function for Pattern Classification,” Journal of Computer and Communications, Vol. 2, pp. 172-181, Mar. 2014. 3) S.-J. Lee and J.-Y. Jiang, “Multi-Label Text Categorization Based on Fuzzy Relevance Clustering,” accepted for publication in IEEE Transactions on Fuzzy Systems, Nov. 2013. 4) C.-Y. Yeh, W.-P. Su, and S.-J. Lee, “An Efficient Multiple-Kernel Learning for Pattern Classification ,” Expert Systems with Applications , Vol. 40, No. 9, pp. 3491-3499, Jul. 2013. 6 5) J.-P. Chen and S.-J. Lee, “Modified Multi-Valued Neuron with Periodic Tolerant Activation Function,” accepted for publication in IEEE Transactions on Neural Networks, Jul. 2013. 6) Y.-S. Lin, T.-Y. Liao, and S.-J. Lee, “Detecting Near-Duplicate Documents Using Sentence-Level Features and Supervised Learning,” Expert Systems with Applications, Vol. 40, No. 5, pp. 14671476, Apr. 2013. 7) C.-Y. Yeh, Y.-T. Peng, and S.-J. Lee, “An Iterative Divide-and-Merge Based Approach for Solving Large-Scale Least Squares Problems,” IEEE Transactions on Parallel and Distributed Systems, Vol. 24, No. 3, pp. 428-438, Mar. 2013. 8) Y.-S. Lin, J.-Y. Jiang, and S.-J. Lee, “A Similarity Measure for Text Classification and Clustering,” accepted for publication in IEEE Transactions on Knowledge and Data Engineering, Jan. 2013. 9) H.-J. Wu, Y.-L. Su, and S.-J. Lee, “A Fast Method for Computing the Centroid of a Type-2 Fuzzy Set,” IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics , Vol. 42, No. 3, pp. 764-777, Jun. 2012. 10) C.-F. Liu, C.-Y. Yeh, and S.-J. Lee, “A Novel Prototype Reduction Approach for Supervised Learning,” International Journal of Innovative Computing, Information and Control, Vol. 8, No. 6, pp. 3963-3980, Jun. 2012. 11) C.-F. Liu, C.-Y. Yeh, and S.-J. Lee, “Application of Type-2 Neuro-Fuzzy Modeling in Stock Price Prediction,” Applied Soft Computing, Vol. 12, No. 4, pp. 1348-1358, Apr. 2012. 12) J.-Y. Jiang, S.-C. Tsai, and S.-J. Lee, “FSKNN: Multi-Label Text Categorization Based on Fuzzy Similarity and k Nearest Neighbors ,” Expert Systems With Applications, Vol. 39, No. 3, pp. 28132821, Feb. 2012. 13) C.-Y. Yeh, W.-H. Jeng, and S.-J. Lee, “Data-Based System Modeling Using a Type-2 Fuzzy Neural Network with a Hybrid Learning Algorithm,” IEEE Transactions on Neural Networks, Vol. 22, No. 12, pp. 2296-2309, Dec. 2011. 14) J.-Y. Jiang, L.-W. Lee, and S.-J. Lee, “RANKOM: A Query-Dependent Ranking System for Information Retrieval,” International Journal of Innovative Computing, Information and Control, Vol. 7, No. 12, pp. 6739-6756, Nov. 2011. 15) C.-Y. Yeh, W.-H. Jeng, and S.-J. Lee, “An Enhanced Type-Reduction Algorithm for Type-2 Fuzzy Sets,” IEEE Transactions on Fuzzy Systems, Vol. 19, No. 2, pp. 227-240, Apr. 2011. 16) J.-Y. Jiang, R.-J. Liou, and S.-J. Lee, “A Fuzzy Self-Constructing Feature Clustering Algorithm for Text Classification,” IEEE Transactions on Knowledge and Data Engineering, Vol. 23, No. 3, pp. 335-349, Mar. 2011. 17) C.-Y. Yeh, C.-W. Huang, and S.-J. Lee, “A Multiple-Kernel Support Vector Regression Approach for Stock Market Price Forecasting,” Expert Systems with Applications, Vol. 38, No. 3, pp. 2177-2186, Mar. 2011. 18) C.-Y. Yeh, W.-P. Su, and S.-J. Lee, “Employing Multiple-Kernel Support Vector Machines for Counterfeit Banknote Recognition,” Applied Soft Computing, Vol. 11, No. 1, pp. 1439-1447, Jan. 2011. 19) C.-Y. Yeh, C.-W. Huang, and S.-J. Lee, “Multi-Kernel Support Vector Clustering for Multi-Class Classification ,” International Journal of Innovative Computing, Information and Control, Vol. 6, No. 5, pp. 2245-2262, May 2010. 20) C.-Y. Yeh, Z.-Y. Lee, and S.-J. Lee, “Boosting One-Class Support Vector Machines for Multi-Class Classification,” Applied Artificial Intelligence, Vol. 23, No. 4, pp. 297-315, Apr. 2009. 21) W.-J. Lee, J.-Y. Jiang, and S.-J. Lee, “Mining Fuzzy Periodic Association Rules,” Data and Knowledge Engineering Journal, Vol. 65, No. 3, pp. 442-462, Jun. 2008. 22) W.-J. Lee, J.-S. Chung, C.-S. Ouyang, and S.-J. Lee, “Vector Quantization of Images Using a Fuzzy Clustering Method,” Cybernetics and Systems, Vol. 39, No. 1, pp. 45-60, Jan. 2008. 23) H.-T. Yang, C.-S. Ouyang, L.-M. Huang, and S.-J. Lee, “Segmentation of Multiple Human Objects in Video Sequences,” Applied Artificial Intelligence, Vol. 21, No. 9, pp. 831-859, Nov. 2007. 24) C.-Y. Yeh, S.-J. Lee, C.-H. Wu, and S.-H Doong, “A Hybrid Kernel Method for Clustering,” WSEAS 7 25) 26) 27) 28) 29) 30) 31) 32) 33) 34) 35) 36) 37) 38) 39) 40) 41) 42) 43) 44) Transactions on Computers, Vol. 5, No. 10, pp. 2326-2333, Oct. 2006. C.-S. Ouyang, W.-J. Lee, and S.-J. Lee, “A TSK-Type Neuro-Fuzzy Network Approach to System Modeling Problems,” IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics, Vol. 35, No. 4, pp. 751-767, Aug. 2005. H.-T. Yang and S.-J. Lee, “Decomposition of Morphological Structures with Integer Linear Programming,” IEE Proceedings – Vision, Image and Signal Processing, Vol. 152, No. 2, pp. 148-154, Apr. 2005. W.-J. Lee and S.-J. Lee, “Discovery of Fuzzy Temporal Association Rules,” IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics, Vol. 34, No. 6, pp. 2330-2342, Dec. 2004. I.-C. Lin, H.-R. Shih, C.-L. Hou, and S.-J. Lee, “A Rate-Controlled Regulation-Scheduling Scheme for Multimedia Traffic Management,” IEICE Transactions on Communications, Vol. 87-B, No. 4, pp. 797-806, Apr. 2004. H.-L. Tsai and S.-J. Lee, “Entropy-Based Generation of Supervised Neural Networks for Classification of Structured Patterns,” IEEE Transactions on Neural Networks, Vol. 15, No. 2, pp. 283-297, Mar. 2004. S.-H. Sun and S.-J. Lee, “A JPEG Chip for Image Compression and Decompression,” Journal of VLSI Signal Processing, Vol. 35, No. 1, pp. 43-60, Aug. 2003. S.-J. Lee and C.-S. Ouyang, “A Neuro-Fuzzy System Modeling with Self-Constructing Rule Generation and Hybrid SVD-Based Learning,” IEEE Transactions on Fuzzy Systems, Vol. 11, No. 3, pp. 341-353, Jun. 2003. S.-J. Lee, C.-S. Ouyang, and S.-H. Du, “A Neuro-Fuzzy Approach for Segmentation of Human Objects in Image Sequences,” IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics, Vol. 33, No. 3, pp. 420-437, Jun. 2003. M.-C. Lee, C.-L. Ho, and S.-J. Lee, “A Simplified Scheduling Algorithm for Cells in ATM Networks for Multimedia Communication,” International Journal of Distance Education Technologies, Vol. 1, No. 2, pp. 37-56, Apr. 2003. J.-J. Lai, Y.-W. Lai, and S.-J. Lee, “A Reservation Multiple Access Scheme for Local Wireless Communication,” IEICE Transactions on Communications, Vol. 86-B, No. 1, pp. 25-34, Jan. 2003. S.-J. Lee and C.-L. Hou, “An ART-Based Construction of RBF Networks,” IEEE Transactions on Neural Networks, Vol. 13, No. 6, pp. 1308-1321, Nov. 2002. C.-H. Wu and S.-J. Lee, “KJ3 - A Tool Assisting Formal Validation of Knowledge-Based Systems,” International Journal of Human Computer Studies, Vol. 56, No. 5, pp. 495-524, Jul. 2002. J.-W. Lin, S.-J. Lee, and H.-T. Yang, “A Stroke-Based Neuro-Fuzzy System for Handwritten Chinese Character Recognition,” Applied Artificial Intelligence, Vol. 15, No. 6, pp. 561-586, Jul. 2001. C.-H. Wu and S.-J. Lee, “Parallelization of a Hyper-Linking Based Theorem Prover,” Journal of Automated Reasoning, Vol. 26, No. 1, pp. 67-106, Jan. 2001. C.-H. Wu and S.-J. Lee, “A Token-Flow Paradigm for Verification of Rule-Based Expert Systems,” IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, Vol. 30, No. 4, pp. 616-624, Aug. 2000. C.-H. Wu, C.-J. Yu, and S.-J. Lee, ”An Extended System for Conceptual Clustering,” Applied Artificial Intelligence, Vol. 14, No. 10, pp. 943-965, Jul. 2000. S.-J. Lee and C.-L. Hou, “A Neural-Fuzzy System for Congestion Control in ATM Networks,” IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, Vol. 30, No. 1, pp. 2-9, Feb. 2000. B. Han, S.-J. Lee, and H.-T. Yang, “Comments on the Theory of Measurement in Diagnosis from First Principles,” Information Sciences, Vol. 120, No. 3-4, pp. 349-365, Dec. 1999. B. Han and S.-J. Lee, “A Genetic Algorithm Approach to Measurement Prescription in Fault Diagnosis,” Information Sciences, Vol. 120, No. 1-4, pp. 223-237, Nov. 1999. B. Han, S.-J. Lee, and H.-T. Yang, “A Model-Based Diagnosis System for Identifying Faulty Components in Digital Circuits,” Journal of Applied Intelligence, Vol. 10, No. 1, pp. 37-52, Jan. 8 45) 46) 47) 48) 49) 50) 51) 52) 53) 54) 55) 56) 57) 58) 59) 60) 61) 62) 63) 64) 65) 1999. S.-J. Lee, M.-T. Jone, and H.-L. Tsai, “Constructing Neural Networks for Multi-Class Discretization Based on Information Entropy,” IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, Vol. 29, No. 3, pp. 445-453, Jun. 1999. B. Han and S.-J. Lee, “Deriving Minimal Conflict Sets by CS-trees with Mark Set in diagnosis from First Principles,” IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, Vol. 29, No. 2, pp. 281-286, Apr. 1999. S.-J. Lee and H.-L. Tsai, “Pattern Fusion in Feature Recognition Neural Networks for Handwritten Character Recognition,” IEEE Transactions on Systems, Man, and Cybernetics- Part B: Cybernetics, Vol. 28, No. 4, pp. 612-617, Aug. 1998. C.-H. Wu and S.-J. Lee, “Enhanced High-level Petri Nets with Multiple Colors for Knowledge Validation/Verification of Rule-Based Expert Systems,” IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, Vol. 27, No. 5, pp. 760-773, Oct. 1997. C.-H. Wu and S.-J. Lee, “Knowledge Verificaton with an Enhanced High-Level Petri Net Model,” IEEE Expert (now IEEE Intelligent Systems), Vol. 12, No. 5, pp. 73-80, Sep. 1997. S.-J. Lee and W.-J. Lin, “Formal Verification and Diagnosis of Combinational Circuit Designs with Propositional Logic,” Fundamenta Informaticae, Vol. 31, No. 1, pp. 79-105, 1997. D.-L. Shen, C.-H. Wu, and S.-J. Lee, “EXPIDER: A Channel Routing Expert for VLSI Design,” Expert Systems with Applications, Vol. 12, No. 2, pp. 209-223, 1997. C.-J. Chang, Y.-W Lai, S.-J Lee, and W.-K. Lai, “Early Detection of Cycles with Pseudo End Station in Fasnet Network,” Information Sciences, Vol. 101, No. 1-2, pp. 29-45, 1997. S.-J. Lee, Y.-W. Lai, J.-J. Lai, and C.-J Chang, “A Slot Reuse Scheme for CRMA Network,” Computer Networks and ISDN Sysems, Vol. 29, No. 16, pp. 1933-1951, 1997. S.-J. Lee and M.-T. Jone, “An Extended Procedure of Constructing Neural Networks for Supervised Dichotomy,” IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, Vol. 26, No. 4, pp. 660-665, 1996. S.-J. Lee and D. Plaisted, “Controlling the Consumption of Storage with Sliding Priority Search in a Hyper-Linking Based Theorem Prover,” Computers and Artificial Intelligence, Vol. 14, No. 6, pp. 563-578, Jan. 1995. S.-J. Lee, “Formal Reasoning in Intelligent Database Systems,” Journal of Applied Intelligence, Vol. 5, No. 4, pp. 297-317, 1995. S.-J. Lee, M.-T. Jone, and H.-L. Tsai, “Construction of Neural Networks from Decision Trees,” Journal of Information Science and Engineering, Vol. 11, No. 3, pp. 391-415, 1995. S.-J. Lee and C.-H. Wu, “CLXPERT : A Rule-Based Scheduling System,” Expert Systems with Applications, Vol. 9, No. 2, pp. 153-164, 1995. S.-J. Lee and M.-T. Jone, “A Symbolic Logic Approach of Deriving Initial Neural Network Configurations for Supervised Classification,” Computers and Artificial Intelligence, Vol. 14, No. 4, pp. 317-337, 1995. S.-J. Lee and C.-H. Wu, “Improving the Efficiency of a Hyper-Linking Based Theorem Prover by Incremental Evaluation with Network Structures,” Journal of Automated Reasoning, Vol. 12, No. 3, pp. 359-388, 1994. S.-J. Lee and D. Plaisted, “Use of Replace Rules in Theorem Proving,,” Methods of Logic in Computer Science, Vol. 1, pp. 217-240, 1994. S.-J. Lee and D. Plaisted, “Problem Solving by Searching for Models with a Theorem Prover,” Artificial Intelligence, Vol. 69, pp. 205-233, 1994. S.-J. Lee and C.-H. Wu, “A Knowledge-Based Approach to the Local Area Network Design Problem,” Journal of Applied Intelligence, Vol. 4, No. 1, pp. 7-29, 1994. S.-J. Lee, “An Autonomous Multistrategy Theorem Proving System Using Knowledge-Based Techniques,” Journal of Intelligent Information Systems, Vol. 3, No. 1, pp. 89-117, 1994. S.-J. Lee, “Exploiting Small Clauses in Mechanical Theorem Proving,” Computers and Artificial 9 Intelligence, Vol. 12, No. 3, pp. 209-228, 1993. 66) S.-J. Lee and D. Plaisted, “Eliminating Duplication with the Hyper-Linking Strategy,” Journal of Automated Reasoning, Vol. 9, No. 1, pp. 25-42, 1992. Conference Papers 1) C.-R. Wang and S.-J. Lee, (2014,07), “Temporal Prediction using Self-Organizing Multilayer Perceptron,” International Conference on Machine Learning and Cybernetics. 2) Z.-Y. Wang and S.-J. Lee, (2014,07), “A Neuro-Fuzzy Based Method for TAIEX Forecasting,” International Conference on Machine Learning and Cybernetics. 3) B.-K. Xie and S.-J. Lee, (2014,07), “A Modified Scheme for All-Pairs Evolving Fuzzy Classifiers,” International Conference on Machine Learning and Cybernetics. 4) T.-T. Chen and S.-J. Lee, (2013,08), “One-Step Ahead Time Series Prediction,” 5th International Conference on Artificial Intelligence and Computational Intelligence, pp. 263-272. 5) J.-P. Chen, S.-F. Wu, and S.-J. Lee, (2013,08), “Modified Learning for Discrete Multi-Valued Neuron,” IEEE International Joint Conference on Neural Networks. 6) S.-F. Wu and S.-J. Lee, (2013,08), “Multi-Valued Neuron with New Learning Schemes,” IEEE International Joint Conference on Neural Networks. 7) R.-F. Xu, H.-W. Peng, and S.-J. Lee, (2013,07), “Community Detection with Punished Similarity,” International Conference on Machine Learning and Cybernetics, pp. 1064-1069. 8) C.-H. Hung and S.-J. Lee, (2013, 07), “Adaptive Distance-Based Voting Classification,” International Conference on Machine Learning and Cybernetics, pp. 1671-1677. 9) C.-C. Wei, T.-T. Chen, and S.-J. Lee, (2013,07), A k-NN Based Neuro-Fuzzy System for Time Series Prediction,” 14th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, pp. 569-574. 10) C.-H. Lee and S.-J. Lee, (2013,07), “A Comparative Study on Clustering Algorithms,” 14th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, pp. 557-562. 11) J.-W. Lee and S.-J. Lee, (2013,04), “Community Detection with Similarity Transition,” 7th International Conference on Advanced Information Technologies. 12) T.-Y. Liao, Y.-S. Lin, R.-T. Sun, and S.-J. Lee, (2012,11), “Near-Duplicate Detection with Machine Learning,” ICIC Express Letters. 13) J.-P. Chen and S.-J. Lee, (2012,11), “A Fuzzy Tolerating Mechanism for the Multi-Valued Neuron,” International Conference on Fuzzy Theory and its Applications. 14) C.-F. Liu, C.-C. Wei, and S.-J. Lee, (2012,11), “Neuro-Fuzzy Based Multi-Step-Ahead Prediction,” International Conference on Soft Computing and Intelligent Systems. 15) C.-F. Liu, T.-T. Chen, and S.-J. Lee, (2012,07), “A Comparison of Approaches for Dealing with Missing Values,” International Conference on Machine Learning and Cybernetics. 16) J.-P. Chen and S.-J. Lee, (2012,07), “Multi-Valued Neuron with Periodic Tolerant Activation Function,” International Conference on Machine Learning and Cybernetics. 17) J.-Y. Jiang, W.-H. Cheng, and S.-J. Lee, (2012,01), “A Dissimilarity Measure for Document Clustering,” ICIC Express Letters. 18) Y.-L.Su and S.-J.Lee, (2011.11), “A Refined Type Reduction for Type-2 Fuzzy Sets,” 19th National Conference on Fuzzy Theory and Its Applications. 19) C-Y. Yeh and S.-J. Lee, (2011.11), “Type-2 Neuro-Fuzzy System Modeling with Hybrid Learning Algorithm,” 19th National Conference on Fuzzy Theory and Its Applications. 20) J.-Y. Jiang, W.-H. Cheng, and S.-J. Lee, (2011,07), “Distributed Data Collection Service Using MapReduce Programming,” International Conference on Digital Enterprise and Information Systems. 21) J.-Y. Jiang, Y.-L. Su, and S.-J. Lee, (2011,07), “MIKM: A Mutual Information-based K-Medoids Approach for Feature Selection,” International Conference on Machine Learning and Cybernetics. 10 22) J.-Y. Jiang, W.-H. Cheng, Y.-S. Chiou, and S.-J. Lee, (2011,07), “A Similarity Measure for Text Processing,” International Conference on Machine Learning and Cybernetics. 23) Y.-T. Peng, C.-Y. Yeh, and S.-J. Lee, (2011,04), “A Hierarchical SVD-based Least Squares Method for Parameter Estimation,” 2011 International Conference on Data Engineering and Internet Technology, pp. 219-222. 24) J.-Y. Jiang, Z.-D. Gan, and S.-J. Lee, (2011,04), “MLNN: A Multi-Label Categorization Network,” International Conference on Data Engineering and Internet Technology, pp. 240-243. 25) J.-Y. Jiang and S.-J. Lee, (2011,01), “FMLKNN: A Fuzzy Membership Function Based K-Nearest Neighbor Approach for Multi-Label Classification,” ICIC Express Letters, Vol. 5, No. 4(A), pp. 1069-1075. 26) Y.-L. Su, H.-J. Wu, and S.-J. Lee, (2010,12), “A Fast Recursive Method for Computing the Centroid of a General Type-2Fuzzy Set ,” 18th National Conference on Fuzzy Theory and Its Applications, pp. 755-759. 27) S.-C. Tsai, J.-Y. Jiang, and S.-J. Lee, (2010,11), “A Mixture Approach for Multi-Label Document Classification,” 2010 International Conference on Technologies and Applications of Artificial Intelligence. 28) J.-Y. Jiang, L.-W. Lee, and S.-J. Lee, (2010,07), “A Distributional Similarity Measure for QueryDependent Ranking in Web Mining,” International Conference on Machine Learning Cybernetics, pp. 2875-2880. 29) M.-Z. Rau, C.-Y. Yeh, and S.-J. Lee, (2010,07), “Fuzzy Clustering with Principal Component Analysis,” International Conference on Machine Learning Cybernetics, pp. 2938-2943. 30) S.-H. Doong, C.-C. Lai, S.-J. Lee, Ouyang, and C.-H. Wu, (2010,05), “Performance Modeling of Virtual Machines Hosted on Xen,” Cloud Computing and Virtualization, pp. 115-122. 31) S.-H. Hu, H.-J. Wu, and S.-J. Lee, (2010,05), “Application of MapReduce to Ranking SVM for Large-Scale Datasets,” Cloud Computing and Virtualization, pp. 226-232. 32) C.-Y. Yeh, J. Ouyang, and S.-J. Lee, (2009,11), “A Clustering-Based Algorithm for Data Reduction,” 5th International Workshop on Computational Intelligence and Applications, pp. 65-70. 33) W.-J. Lee, C.-C. Yang, and S.-J. Lee, (2009,11), “Support Vector Selection for Regression Machines,” 5th International Workshop on Computational Intelligence and Applications, pp. 18-23. 34) H.-C. Tsai, J.-Y. Jiang, C. Wu, and S.-J. Lee, (2009,10), “A Fuzzy Similarity-Based Approach for Multi-label Document Classification,” 2009 Second International Workshop on Computer Science and Engineering, Vol. 1, pp. 59-63. 35) L.-W. Lee, J.-Y. Jiang, C. Wu, and S.-J. Lee, (2009,10), “A Query-Dependent Ranking Approach for Search Engines,” 2009 Second International Workshop on Computer Science and Engineering, Vol. 2, pp. 259-263. 36) Y.-S. Lin, M.-Z. Rau, and S.-J. Lee, (2009,09), “Applying Self-Constructing Clustering to Color Image Quantization,” ICIC Express Letters, Vol. 3, No. 3(B), pp. 813-818. 37) W.-H. Jeng, C.-Y. Yen, and S.-J. Lee, (2009,08), “General Type-2 Fuzzy Neural Network with Hybrid Learning for Function Approximation,” IEEE International Conference on Fuzzy Systems, pp. 1534-1539. 38) Y.-S. Liu and S.-J. Lee, (2009,08), “High Performance Hardware Design for Steady-State GA,” 20th VLSI Design/CAD Symposium. 39) Y.-H. Liu and S.-J. Lee, (2009,06), “An IC Chip for Sequential Steady-State Genetic Algorithms,” Electronic Technology Symposium. 40) W.-H. Jeng, C.-Y. Yeh, and S.-J. Lee, (2009,06), “Type Reduction for Type-2 Fuzzy Logic Systems,” National Symposium on System Science and Engineering. 41) J.-Y. Jiang, R.-J. Liou, and S.-J. Lee, (2009,05), “Fuzzy Similarity-Based Feature Clustering for Document Classification,” 2009 Conference on Information Technology and Applications in Outlying Islands, pp. 482-489. 42) Y.-S. Lin, M.-Z. Rau, and S.-J. Lee, (2009,05), “Two Methods for Color Quantization of Image 11 43) 44) 45) 46) 47) 48) 49) 50) 51) 52) 53) 54) 55) 56) 57) 58) 59) 60) 61) 62) Segmentation,” 85th Anniversary Conference of the Military Academy, ROC. S.-T. Kuan and S.-J. Lee, (2008,08), “Exploring Friendships in Blogosphere by Finding 1.5-cliques,” 2008 IEEE International Conference on Granular Computing. F.-P. Yang and S.-J. Lee, (2008,08), “Applying Soft Computing for Forecasting Chaotic Time Series,” 2008 IEEE International Conference on Granular Computing. C.-Y. Yeh, W.-P. Su, and S.-J. Lee, (2008,07), “Improving Efficiency of Multi-Kernel Learning for Support Vector Machines,” 2008 International Conference on Machine Learning and Cybernetics. C.-Y. Yeh, C.-W. Huang, and S.-J. Lee, (2008,06), “Multi-Kernel Support Vector Clustering for Multi-Class Classification,” 3rd International Conference on Innovative Computing, Information and Control. J.-Y. Jiang, K.-T. Yin, and S.-J. Lee, (2007,10), “A Confidence-based Hierarchical Feature Clustering Algorithm for Text Classification,” 2007 International Conference on Intelligent Pervasive Computing. J.-Y. Jiang, J.-W. Chen, and S.-J. Lee, (2007,09), “A Clustering Scheme for Large High-Dimensional Document Datasets,” 2nd International Symposium on Intelligence Computation and Applications, pp. 511-519. J.-Y. Jiang and S.-J. Lee, (2007,09), “A Weight-Based Feature Extraction Approach for Text Classification,” 2nd International Conference on Innovative Computing, Information and Control. C.-S. Ouyang, C.-T. Lee ,and S.-J. Lee,(2007,09), “An Improved Fuzzy Genetics-Based Machine Learning Algorithm for Pattern Classification,” 2nd International Conference on Innovative Computing, Information and Control. Z.-Y. Lee, C.-Y. Yeh, and S.-J. Lee, (2007,08), “Applying Discriminant Functions with One-Class SVMs for Multi-Class Classification,” International Conference of Machine Learning and Cybernetics (ICMLC), pp. 1954-1959. S.-C. Pei and S.-J. Lee, (2007,08), “Constructing Fuzzy Controllers Based on Reinforcement Learning,” International Multisymposium on Computer and Computational Sciences, pp. 437-440. C.-Y. Yeh and S.-J. Lee, (2007,08), “A Kernel-Based Two-Stage Nu-Support Vector Clustering Algorithm,” International Conference of Machine Learning and Cybernetics (ICMLC), pp. 22512256. C.-Y. Yeh and S.-J. Lee, (2007,06), “A Kernel-based Two-stage One-class Support Vector Machines Algorithm,” Lecture Notes in Computer Science 4493, pp. 0515-0524. Y.-C. Chan, W.-J. Lee, and S.-J. Lee, (2006,10), “Estimating Parameters of Kernel Functions in Support Vector Learning,” 2006 IEEE International Conference on Systems, Man, and Cybernetics, pp. 192-197. J.-H. Wang, W.-J. Lee, and S.-J. Lee, (2006,08), “A Kernel-Based Fuzzy Clustering Algorithm,” International Conference on Innovative Computing, Information and Control, vol. 1, pp. 550-553. H.-W. Chiu, C.-S. Ouyang, and S.-J. Lee, (2006,07), “Improved C-Fuzzy Decision Trees,” IEEE International Conference on Fuzzy Systems, pp. 8422-8427. C.-C. Yang, W.-J. Lee, and S.-J. Lee, (2006,07), “Learning of Kernel Functions in Support Vector Machines,” International Joint Conference on Neural Networks, pp. 2129-2134. C.-Y. Yeh, S.-J. Lee, C.-H. Wu, and S.-H Doong, (2006,07), “A Kernel Prototype-Based Clustering Algorithm,” 10th WSEAS International Conference on computers, pp. 1074-1079. J.-Y. Jiang, W.-J. Lee, and S.-J. Lee, (2005,05), “Mining Calendar-Based Asynchronous Periodical Association Rules with Fuzzy Calendar Constraints,” 14th IEEE International Conference on Fuzzy Systems, pp. 773-778. W.-J. Lee and S.-J. Lee,(2004,10), “An Efficient Algorithm to Discover Calendar-Based Temporal Association Rules,” 2004 IEEE International Conference on Systems, Man, and Cybernetics, pp. 3122-3127. W.-J. Lee and S.-J. Lee, (2004,07), “Fuzzy Calendar Algebra and its Applications to Data Mining,” 11th International Symposium on Temporal Representation and Reasoning, pp. 71-78. 12 63) W.-J. Lee and S.-J. Lee, (2004,06), “An Incremental Algorithm for Discovering Fuzzy Temporal Web Usage Patterns,” 5th International Conference on Internet Computing, pp. 90-96. 64) W.-J. Lee and S.-J. Lee, (2003,12), “Constructing Fuzzy Calendars for Mining Temporal Rules,” 8th Conference on Artificial Intelligence and Applications, pp. 147- 152. 65) J.-S. Chung, C.-S. Ouyang, W.-J. Lee, and S.-J. Lee, (2003,12), “Distortion-Based Hierarchical Clustering for Vector Quantization,” International Conference on Informatics, Cybernetics, and Systems, pp. 1006-1011. 66) L.-M. Huang, C.-S. Ouyang, and S.-J. Lee, (2003,10), “A Neuro-Fuzzy Approach for Multiple Human Object Segmentation,” IEEE International Conference on Systems, Man, and Cybernetics (SMC 2003), pp. 2815-2820. 67) W.-J. Lee and S.-J. Lee, (2003,10), “A General Mining Method for Incremental Updation in Large Databases,” IEEE International Conference on Systems, Man, and Cybernetics (SMC 2003), pp. 3342-3347. 68) C.-S. Ouyang and S.-J. Lee, (2003,10), “An Improved TSK-type Recurrent Fuzzy Network for Dynamic System Identification,” IEEE International Conference on Systems, Man, and Cybernetics (SMC 2003), pp. 1423-1428. 69) W.-J. Lee, J.-S. Chung, and S.-J. Lee, (2003,07), “A Merge-Based Clustering Approach for Information Retrieval,” 7th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2003), pp. 250-255. 70) W.-J. Lee and S.-J. Lee, (2003,03), “An Efficient Mining Method for Incremental Updation in Large Databases,” 4th Conference on Intelligent Data Engineering and Automated Learning (IDEAL), pp.630-637. 71) A.-T. Lin and S.-J. Lee, (2003,03), “A Modified Distributed Coordination Function for Real-Time Traffic in IEEE 802.11 Wireless LAN,” 17th International Conference on Advanced Information Networking and Applications (AINA2003), pp. 794-797. 72) C.-H. Chen, C.-L. Ho, and S.-J. Lee, (2002,12), “A Context-Based Request Dispatching Policy for Layer-7 Web Cluster,” International Computer Symposium, pp. 391-398. 73) J.-S. Chung, C.-S. Ouyang, and S.-J. Lee, (2002,12), “Vector Quantization Using a Self-Constructing Fuzzy Neural Network,” 10th National Conference on Fuzzy Theory and Its Applications, pp. E3:1419. 74) H.-L. Tsai and S.-J. Lee, (2002,11), “Construction of Neural Networks on Structured Domains,” 9th International Conference on Neural Information Processing (ICONIP’02), Vol. 1, pp. 50-54. 75) H.-T. Yang and S.-J. Lee, (2002,11), “Mining Fuzzy Association Rules from Sequence Databases with Quantitative Data and Inter-Transaction Intervals,” International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’02), Vol. 2, pp. 606-610. 76) C.-S. Ouyang, W.-J. Lee, and S.-J. Lee, (2002,11), “An Adaptive Neuro-Fuzzy Approach for System Modeling,” 1st International Conference on Machine Learning and Cybernetics (ICMLC02), pp. 1875-1880. 77) L.-M. Huang, C.-S. Ouyang, W.-J. Lee, and S.-J. Lee, (2002,11), “A Hybrid Clustering and SVDBased Approach for Fuzzy-Neural System Modeling,” 7th Conference on Artificial Intelligence and Applications, pp. 6-11. 78) W.-J. Lee, C.-S. Ouyang, and S.-J. Lee, (2002,05), “A Novel Approach for Neuro-Fuzzy Modeling,” 78th Anniversary Conference of the Military Academy. 79) W.-J. Lee, C.-S. Ouyang, and S.-J. Lee, (2002,05), “Constructing Neuro-Fuzzy Systems With TSK Fuzzy Rules and Hybrid SVD-Based Learning,” IEEE International Conference on Fuzzy Systems, pp. 1174-1179. 80) W.-G. Chen and S.-J. Lee, (2001,12), “Fuzzy Classification Using Hierarchical Genetic Algorithm With Multiple Rule GeneTables,” National Computer Symposium, pp. B001-B010. 81) T.-C. Chen, C.-L. Hou, and S.-J. Lee, (2001,11), “A Ratio-Based Call Admission Control for ATM Networks,” IEEE Globecom 2001, pp. 2640-2644. 13 82) C.-S. Ouyang and S.-J. Lee, (2001,11), “A Hybrid Learning Algorithm for Fuzzy Neural Networks,” 8th International Conference on Neural Information Processing, pp. 311-316. 83) S.-H. Du, C.-S. Ouyang, and S.-J. Lee, (2001,11), “A Neuro-Fuzzy Approach to Detection of Human Objects for MPEG Video Compression,” Multimedia Technologies and Applications Conference. 84) H.-R. Shih, C.-L. Hou, I.-C. Lin, and S.-J. Lee, (2001,10), “A Dynamic Regulation With Scheduler Feedback Information for Multimedia Networks,” Lecture Notes in Computer Science - 2nd IEEE Pacific-Rim Conference on Multimedia, pp. 700-703. 85) H.-T. Yang and S.-J. Lee, (2001.09), “Incremental Update of Large Itemsets by Sampling Techniques,” Fifth International Conference on Knowledge-Based Intelligent Information Engineering Systems and Allied Technologies (KES’2001). 86) M.-C. Lee, H.-R. Shih, C.-L. Hou, and S.-J. Lee, (2000,12), “A Dynamic Shaping and Scheduling Mechanism for ATM Networks,” 2000 Asia Pacific Conference on Multimedia Technology and Applications, pp. 19-25. 87) S.-H. Sun, S.-H. Tu, H.-T. Yang, and S.-J. Lee, (2000,12), “Design and Implementation of A JPEG Chip,” 2000 Asia Pacific Conference on Multimedia Technology and Applications, pp. 384-392. 88) C.-H. Wu and S.-J. Lee, (2000,12), “The Design of A Multi-Agent Framework for Distributed HyperLinking-Based Theorem Proving,” International Computer Symposium - Workshop on Artificial Intelligence, pp. 120-127. 89) M.-C. Lee, T.-C. Chen, H.-T. Yang, and S.-J. Lee, (2000,12), “A Simple Cell Scheduling Mechanism for ATM networks,” International Computer Symposium - Workshop on Computer Networks, Internet, and Multimedia, pp. 19-25. 90) C.-H. Wu and S.-J. Lee, (2000,11), “Formal Verification of Rule-Based Systems Using Petri-Net Formalism and Hyper-Linking-Based Theorem Proving,” 5th Conference on Artificial Intelligence and Applications, pp. 421-428. 91) C.-L. Hou and S.-J. Lee, (2000,10), “A Self-Constructed Radial Basis Function Neural Network and Its Applications,” IEEE International Conference on Systems, Man, and Cybernetics. 92) C.-S. Ouyang and S.-J. Lee, (2000,10), “A Hybrid Algorithm for Structure Identification of NeuroFuzzy Modeling,” IEEE International Conference on Systems, Man, and Cybernetics. 93) H.-L. Tsai and S.-J. Lee, (2000,02), “Construction of Neural Networks on Structured Domain,” 5th International Conference on Computer Science and Informatics (CS&I’2000). 94) C.-L. Hou and S.-J. Lee, (2000,02), “A Construction of Neuro-Fuzzy Networks Based on Whitening Transformation,” 5th International Conference on Computer Science and Informatics (CS&I’2000). 95) W.-G. Chen, C.-S. Ouyang, and S.-J. Lee, (1999,12), “Using Competitive Learning in Neural Networks for Cluster-Detection-And-Labeling,” Lecture Notes in Artificial Intelligence: 12th Australian Joint Conference on Artificial Intelligence.. 96) C.-L. Hou and S.-J. Lee, (1999,11), “A Method of Constructing Neuro-Fuzzy Networks by Considering Distribution of Patterns,” Fourth Conference on Artificial Intelligence and Applications, pp. 127-134. 97) C.-L. Hou and S.-J. Lee, (1999,10), “A Neural-Fuzzy System for Rate-Based Feedback Congestion Control in ATM Networks,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 443-448. 98) C.-S. Ouyang and S.-J. Lee, (1999,08), “An Improved Learning Algorithm for Rule Refinement in Neuro-Fuzzy Modeling,” Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, pp. 238-241. 99) C.-S. Ouyang and S.-J. Lee, (1999,08), “A New Self-Constructing Approach for Neuro-Fuzzy Modeling,” Eighth International Fuzzy Systems Association World Congress, pp. 787-791. 100) C.-L. Hou and S.-J. Lee, (1998,12), “A Neural-Fuzzy Congestion Controller for ATM Networks,” International Computer Symposium - Workshop on Artificial Intelligence, pp. 84-91. 101) C.-H. Wu and S.-J. Lee, (1998,11), “KJ3 - A Tool for Proving Formal Specifications of Rule-Based Expert Systems,” IEEE International Conference on Tools with Artificial Intelligence, pp. 310-317. 14 102) C.-S. Ouyang, H.-L. Tsai, and S.-J. Lee, (1998,10), “Knowledge Acquisition from Input-Output Data by Fuzzy Neural Systems,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 1928-1933. 103) H.-T. Yang and S.-J. Lee, (1998,08) “Inference and Improper Knowledge Detection on Fuzzy Rules with Enhanced High-Level Fuzzy Petri Nets,” 1998 Conference of North American Fuzzy Information Processing Society (NAFIPS), pp. 135-139. 104) J.-J. Lai, Y.-W. Lai, and S.-J Lee, (1998,06), “A Medium Access Control Protocol for Wireless Networks,” IEEE International Conference on Communications (ICC’98), pp. 146-150. 105) H.-L Tsai, S.-H Sun, and S.-J. Lee, (1997,12), “Image Compression Using ART-Based Neural Networks,” National Computer Symposium, Vol. 1, pp. B163-B168. 106) B. Han, H.-T. Yang, and S.-J. Lee, (1997,12), “DSDC: A Diagnosis System for Digital Circuits Based on First Principles,” National Computer Symposium, Vol. 1, pp. A103-A108. 107) H.-L. Tsai and S.-J. Lee, (1997,10), “A Neural Network Model for Isolated Word Recognition,” IEEE International Conference on Systems, Man, and Cybernetics, Vol. 4, pp. 4029-4034. 108) H.-T. Yang, J.-W Lin, and S.-J. Lee, (1997,10), “A Handwritten Chinese Character Recognition System Based on Neural-Fuzzy Theory, “ IEEE International Conference on Systems, Man, and Cybernetics, Vol. 2, pp. 1492-1497. 109) B. Han and S.-J. Lee, (1996,10), “An Improvement to Hou’s Approach of Deriving Minimal Conflict Sets,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 1448-1452. 110) H.-T. Yang and S.-J. Lee, (1996,10), “Morphological Decomposition of Arbitrarily Shaped Images,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 493-497. 111) D.-L. Shen, C.-H. Wu, and S.-J. Lee, (1996,10), “EXPIDER: An Object-Based Expert System for VLSI Channel Routing,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 226-231. 112) H.-T. Yang and S.-J. Lee, (1996,09), “Optimal Decomposition of Morphological Structuring Elements,” IEEE International Conference on Image Processing, Vol. 3, pp. 1-4. 113) C.-H. Wu and S.-J. Lee, (1996,06), “On Parallelism of Hyper-Linking Theorem Proving: A Preliminary Report,” IEEE International Conference on Parallel and Distributed Systems. 114) H.-L. Tsai and S.-J. Lee, (1995,12), “An Improved Neural Algorithm for Automatic Test Pattern Generation,” International Symposium on Artificial Neural Networks, pp. A2.07-A2.12. 115) J.-W. Lin and S.-J. Lee, (1995,12), “Run-Length Based Chinese Character Stroke Extraction,” National Computer Symposium, pp. 677-684. 116) C.-H. Wu, C.-J. Yu, and S.-J. Lee, (1995,10), “An Entropy-Based Evaluation Function for Conceptual Clustering,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 4307-4312. 117) H.-T. Yang, C.-H. Wu, and S.-J. Lee, (1995,10), “An Efficient Implementation of the Davis-Putnam Procedure Using Network Structures,” IEEE International Conference on Systems, Man, and Cybernetics, pp. 4245-4249. 118) C.-H. Wu and S.-J. Lee, (1995,09), “A Study on Parallelism of a Hyper-Linking Based Theorem Prover,” Artificial Intelligence Workshop, pp. 107-112. 119) C.-J. Chang and S.-J. Lee, (1995,06), “A Refined FR Reservation Scheme for CRMA Networks,” Journal of Computing and Information, Vol. 1, No. 2, pp. 294-315, Special Issue: 7th International Conference on Computing and Information. 120) B. Han, H.-T. Yang and S.-J. Lee, (1995,06), “A Hybrid Diagnosis System for Digital Circuits,” 8th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems, pp. 315-324. 121) C.-W. Chang and S.-J. Lee, (1995,05), “An Improved Path Sensitization Method in Test Pattern Generation for Combinational Circuits,” IEEE International Conference on Industrial Automation and Control, pp. 578-685. 122) C.-H. Wu and S.-J. Lee, (1995,02), “Knowledge Validation with an Enhanced High-level Petri Net Model,” 11th IEEE International Conference on Artificial Intelligence for Applications, pp. 126-132. 15 123) C.-J. Chang and S.-J. Lee, (1994,12), “A Modified Fasnet Protocol,” Telecommunications Symposium, pp. 170-175. 124) M.-T. Jone and S.-J. Lee, (1994,12), “Construction of Multi-Class Neural Networks with Entropy Measure Approach,” International Symposium on Artificial Neural Networks, pp. 296-301. 125) S.-L. Tsai and S.-J. Lee, (1994,12), “A Fuzzy Feature Recognition Neural Networks for Character Recognition,” International Symposium on Artificial Neural Networks, pp. 174-179. 126) S.-J. Lee and C.-J. Yu, (1994,05), “A Refined Unsupervised Classifier,” Journal of Computing and Information, Vol.1, No.1, pp. 1125-1140, Special Issue: 6th International Conference on Computing and Information. 127) S.-J. Lee and M.-T. Jone, (1994,05), “A Neural Network Architecture for Supervised Learning using High-Order Net Functions,” Journal of Computing and Information, Vol.1, No.1, pp. 1026-1041, Special Issue: 6th International Conference on Computing and Information. 128) C.-H. Wu, S.-J. Lee, and H.-S. Chou, (1994,03), “Dependency Analysis for Knowledge Validation in Rule-Based Expert Systems,” 10th IEEE International Conference on Artificial Intelligence for Applications, pp. 327-333. 129) C.-H. Wu, H.-S. Chou, S.-J. Lee, and C.-J. Yu, (1993,12), “Integrating Knowledge Validation into the Rete Rule Network for Rule-based Expert Systems,” National Computer Symposium, pp. 213-220. 130) S.-J. Lee and M.-T. Jone, (1993,12), “Initializing Neural Networks in Concept Learning,” International Conference on Computers in Education - Applications of Intelligent Computer Technologies, pp. 365-367. 131) C.-H. Wu, S.-J. Lee, H.-S. Chou, and C.-J. Yu, (1993,11), “The Design and Implementation of a Rule-Based Expert System Language,” 5th IEEE International Conference on Tools with Artificial Intelligence, pp. 468-469. 132) C.-H. Wu, S.-J. Lee, C.-J. Yu, and H.-S. Chou, (1993,07), “A Model-Based Troubleshooter for Diagnosing Multiple Faults in Digital Systems,” 6th National Conference on Automation Technology, pp. 879-886. 133) C.-H. Wu and S.-J. Lee, (1993,06), “Building an Expert System Language Interpreter with the Rule Network Technique,” Lecture Notes in Artificial Intelligence 689: 7th International Symposium on Methodologies for Intelligent Systems, pp. 76-85. 134) S.-J. Lee and C.-H. Wu, (1993,05), “Improving Efficiency of a Theorem Prover by Eliminating Redundant Unifications Using Network Structures,” International Conference on Computing and Information ICCI ’93, pp.299-304. 135) C.-H. Wu and S.-J. Lee, (1993,05), “An Object-Oriented Expert System for Local Area Network Design,” International Conference on Computing and Information ICCI ’93, pp. 321-326. 136) S.-J. Lee, (1992,12), “An Inference Engine for Non-Horn Deductive Database Systems,” International Computer Symposium, pp. 111-118. 137) S.-J. Lee, (1992,12), “A Relevance-Based Model for Automated Reasoning,” International Computer Symposium, pp. 900-907. 138) S.-J. Lee and C.-H. Wu, (1992,11), “Application of Expert System Techniques to Computer Network Design,” NEXPERT Object and Smart Applications, pp. 137-156. 139) D. Plaisted, G. Alexander, H. Chu and S.-J. Lee, (1992,07), “Conditional Term Rewriting and First-Order Theorem Proving,” Lecture Notes in Computer Science 656: International Workshop on Conditional Term-Rewriting Systems, pp. 257-271. 140) S.-J. Lee and C.-H. Wu, (1992,07), “Controlling Storage Consumption in Mechanical Theorem Proving,” 2nd International Conference on Automation Technology, Vol. 1, pp. 201-207. 141) S.-J. Lee and W.-J. Lin, (1992,07), “LCD: A System for Diagnosing Digital Hardware Designs,” 2nd International Conference on Automation Technology, Vol. 2, pp. 37-43. 142) S.-J. Lee, (1992,07), “Checking Adequacy and Correctness of the Axioms in a Non-Horn Deductive Database,” 2nd International Conference on Automation Technology, Vol. 1, pp. 193-200. 143) S.-J. Lee, (1992,05), “A Self-Guided Theorem Proving System,” International Conference on Com- 16 144) 145) 146) 147) 148) 149) 150) 151) 152) 153) 154) puting and information ICCI’92, pp. 329-333. S.-J. Lee and D. Plaisted, (1992,05), “Use Unit Clauses and Clause Splitting in Axiomatic Deduction,” International Conference on Computing and Information ICCI’92, pp.228-232. S.-J. Lee, (1992,05), “Making a Theorem Prover Easier to Use,” International Conference on Computing and Information, pp. 303-307. S.-J. Lee, (1992,05), “Improving Efficiency on Mechanical Theorem Proving,” International Conference on Computing and Information, pp. 202-206. S.-J. Lee and W.-J. Lin, (1992,05), “Circuit Verification Using a Theorem Prover,” 2nd IASTED International Conference on Computer Applications in Industry, pp.332-338. S.-J. Lee, (1992,05) “A Refinement to Breadth-First Search in Automated Reasoning,” 2nd IASTED International Conference on Computer Applications in Industry, pp. 93-97. C.-H. Wu and S.-J. Lee, (1992,05) “Dynamic Addition/Deletion of Rules in Expert Systems,” IASTED International Conference on Computer Applications in Industry, pp. 169-175. C.-H. Wu and S.-J. Lee, (1991,12), “Class Scheduling Using Rule-based Techniques,” National Computer Symposium, pp. 658-664. S.-J. Lee and D. Plaisted, (1991,12), “Searching for Small Proofs in Automatic Theorem Proving,” National Computer Symposium, pp. 626-632. S.-J. Lee and D. Plaisted, (1990,10), “Reasoning with Predicate Replacement,” 5th International Symposium on Methodologies for Intelligent Systems, pp. 530-537. S.-J. Lee and D. Plaisted, (1990,05), “New Applications of a Fast Propositional Calculus Decision Procedure,” 8th Biennial Conference of Canadian Society for Computational Studies of Intelligence, pp. 204-211. S.-J. Lee and D. Plaisted, (1989,10), “Theorem Proving Using Hyper-Matching Strategy,” International Symposium on Methodologies for Intelligent Systems, pp. 467-476. Chapters 1) R.-F. Xu, C.-W. Lee, and S.-J. Lee, (2013), “Analysis and Application of Social Networks (in Chinese),” in New Frontiers in Electronic Commerce (T.-P. Liang, ed.), pp. 180-193, E-Commerce Research Center, National Sun Yat-Sen University, Taiwan. 2) W.-J. Lee, C.-S. Ouyang, and S.-J. Lee, (2004), “Image/Video Compression Using Neuro-Fuzzy Techniques,” in Neuro-Fuzzy and Fuzzy-Neural Applications in Telecommunications (P. Stavroulakis, ed.), pp. 79-116, Springer-Verlag, New York, USA. 3) C.-H. Wu and S.-J. Lee, (1999), “Techniques and Applications of Petri Nets in Knowledge Verification and Validation of Rule-Based Expert Systems,” in Knowledge Engineering: Systems Techniques and Applications (C. Leondes, ed.), pp. 607-652, Academic Press, San Diego, CA, USA. 4) D. Plaisted and S.-J. Lee, (1990), “Inference by Clause Matching,” in Intelligent System: State of the Art and Future Directions (Z. Ras and M. Zemankova, eds.), pp. 200-235, Ellis Horwood, New York, USA. 10 • • • • PATENTS S.-J. Lee, J.-Y. Jiang, and S.-C. Tsai, “Multi-Label Text Categorization Based on Fuzzy Similarity and K Nearest Neighbors,” acquired in June, 2014, Taiwan S.-J. Lee, C.-Y. Yeh, and W.-H. Jeng, “Type Reduction Algorithm for Type-2 Fuzzy Sets,” acquired in April, 2014, Taiwan S.-J. Lee, C.-Y. Yeh, and Y.-T. Peng, “Hierarchical Singular Value Decomposition Based Least Squares Estimator,” acquired in April, 2014, Taiwan S.-J. Lee and C.-Y. Yeh, “Cloud Computing Based Distributed Ranking Support Vector Machine,” acquired in March, 2014, Taiwan 17 • S.-J. Lee, C.-Y. Yeh, and W.-P. Su, “Method for counterfeit banknote recognition by employing multiple-kernel support vector machines,” I423175, 2014/01/11 – 2030/08/31, Taiwan