國立暨南國際大學資訊管理學系

【經歷】 【期刊論文】 【研討會論文】 【專書及專書論文】 【回專任教師簡介】

經歷 (TOP)

經歷:
1993.9 ~ 1994.2 Visiting scholar at U. of Maryland, College Park, U.S.A. (Hosted by Prof. Y.C. Lo)
2000.3 ~ 2000.8 Visiting Professor at U. of California, Riverside, U.S.A. (Hosted by Prof. Bir Bhanu, IEEE Fellow)
2006.8 ~ 2007.7 Visiting Professor at U. of Colorado, Boulder, Colorado, U.S.A. (Hosted by Prof. Fred Glover, Von Neumann Theory Prize Winner, Tabu Search inventor)

期刊論文(TOP)

Editor of International Journals
Editor-in-Chief, International Journal of Applied Metaheuristic Computing (IJAMC), Pennsylvania, USA
Editor, International Journal of Advanced Robotic Systems, Vienna, Austria
Editor, The Open Artificial Intelligence Journal, Netherlands
Editor, The Open Signal Processing Journal, Netherlands
 

Book Editor
Pattern Recognition: Techniques, Technology and Applications
Advanced Robotic Systems International, ISBN 978-3-902613-24-4, I-Tech Education and Publishing KG, Vienna, Austria, December 2008.
 

Reviewer of International Journals
EEE Transaction on Pattern Analysis and Machine Intelligence
IEEE Transaction on Systems, Man and Cybernetics, - Part B: Cybernetics
IEEE Transaction on Systems, Man and Cybernetics, - Part C: Applications and Reviews
IEEE Transaction on Knowledge and Data Engineering
IEEE Transaction on Signal Processing
IEEE Transaction on Multimedia
Computer Vision and Image Understanding
Bioinformatics
Pattern Recognition
Pattern Recognition Letters
Journal of Visual Communication and Image Representation
Pattern Analysis and Application
Information Sciences: An International Journal
Informs Journal on Computing
European Journal of Operational Research
Journal of Scheduling
Journal of Computational and Applied Mathematics
Applied Mathematics and Computation
Applied Mathematical Modelling
Intelligent Automation & Soft Computing
International Journal of Advanced Robotic Systems
The Open Artificial Intelligence Journal
Journal of Electronic Commerce Research
International Journal of Thermal Sciences
Journal of Information Science and Engineering
Journal of the Chinese Institute of Engineers
Journal of Zhejiang University-SCIENCE A (SCI-E)
International Journal of Modelling, Identification and Control
International Journal of Operations Research

Publications:
Journal papers
1. Chin-Sheng Chen, Chun-Wei Yeh and Peng-Yeng Yin, “A Novel Fourier Descriptor Based Image Alignment Algorithm for Automatic Optical Inspection”, to appear in Journal of Visual Communication and Image Representation, 2008.
2. Peng-Yeng Yin and Chin-Wen Liu, “A new relevance feedback technique for iconic image retrieval based on spatial relationships”, to appear in Journal of Systems and Software, 2008.
3. Gwo-Jen Hwang, Hui-Chun Chu, Peng-Yeng Yin, and Ji-Yu Lin, “An Innovative Parallel Test-Sheet Composition Approach to Meet Multiple Assessment Criteria for National Tests”, Computers & Education 51 (3), 2008, 1058-1072 (SSCI).
4. Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang and Anlei Dong “Long Term Cross-Session Relevance Feedback Using Virtual Features,” IEEE Trans. on Knowledge and Data Engineering 20 (3), March 2008, 300-320 (SCI, EI).
5. Gwo-Jen Hwang, Peng-Yeng Yin, Chi-Wei Hwang and Chin-Chung Tsai, “An enhanced genetic approach to composing cooperative learning groups for multiple grouping criteria”, Educational Technology and Society 11 (1), 2008, 148-167 (SSCI).
6. Gwo-Jen Hwang, Peng-Yeng Yin, Judy C.R. Tseng and Gwo-Haur Hwang, “An enhanced genetic approach to optimizing auto-reply accuracy of an e-learning system”, Computers & Education 51 (1), 2008, 337-353 (SSCI).
7. Peng-Yeng Yin and Jing-Yu Wang, “Optimal multiple-objective resource allocation using hybrid particle swarm optimization and adaptive resource bounds technique”, Journal of Computational and Applied Mathematics 216 (1), June 2008, 73-86 (SCI).
8. Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang and Yi-Te Wang, “Task allocation for maximizing reliability of a distributed system using hybrid particle swarm optimization,” Journal of Systems and Software 80 (5), May 2007, 724-735 (SCI).
9. Peng-Yeng Yin, “Multilevel minimum cross entropy threshold selection based on particle swarm optimization,” Applied Mathematics and Computation 184 (2), 2007, 503-513 (SCI).
10. Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang and Yi-Te Wang, “Multi-Objective Task Allocation in Distributed Computing Systems by Hybrid Particle Swarm Optimization,” Applied Mathematics and Computation 184 (2), 2007, 407-420 (SCI).
11. Peng-Yeng Yin and Shin-Hwei Li, “Content-based image retrieval using association rule mining with soft relevance feedback,” Journal of Visual Communication and Image Representation 17 (5), 2006, 1108-1125 (NSC 94-2213-E-260-020) (SCI).
12. Peng-Yeng Yin, Gwo-Jen Hwang, Kuang-Cheng Chang, Gwo-Haur Hwang, and Ying Chan, “A particle swarm optimization approach to composing serial test sheets for multiple assessment criteria,” Educational Technology and Society 9 (3), 2006, 3-15 (SSCI).
13. Gwo-Jen Hwang, Peng-Yeng Yin, and Shu-Heng Yeh, “A tabu search approach to generating test sheets for multiple assessment criteria,” IEEE Trans. on Education 49 (1), 2006, 88-97 (SCI).
14. Peng-Yeng Yin and Jing-Yu Wang, “A particle swarm optimization approach to the nonlinear resource allocation problem,” Applied Mathematics and Computation 183, 2006, 232-242. (NSC 90-2213-E-130-006) (SCI).
15. Peng-Yeng Yin, “Genetic particle swarm optimization for polygonal approximation of digital curves,” Pattern Recognition and Image Analysis 16 (2), 2006, 223-233 (NSC 90-2213-E-130-006).
16. Peng-Yeng Yin, Shiuh-Sheng Yu, Pei-Pei Wang and Yi-Te Wang, “A hybrid particle swarm optimization algorithm for optimal task assignment in distributed systems,” Computer, Standard and Interfaces 28, 2006, 441-450 (NSC 90-2213-E-130-006) (SCI, EI).
17. Peng-Yeng Yin and Jing-Yu Wang, “Ant colony optimization for the nonlinear resource allocation problem,” Applied Mathematics and Computation 174, 2006, 1438-1453 (NSC 90-2213-E-130-006) (SCI).
18. Peng-Yeng Yin, “Particle swarm optimization for point pattern matching,” Journal of Visual Communication and Image Representation 17 (1), 2006, 143-162 (NSC 90-2213-E-130-006) (SCI, EI).
19. Peng-Yeng Yin, Bir Bhanu, Kuang-Cheng Chang and Anlei Dong, “Integrating relevance feedback techniques for image retrieval using reinforcement learning,” IEEE Trans. on Pattern Analysis and Machine Intelligence 27 (10), 2005, 1536-1551 (NSC 92-2213-E-260-021) (SCI, EI).
20. S. J. Shyu, B. M. T. Lin and Peng-Yeng Yin, “Application of ant colony optimization for no-wait flowshop scheduling problem to minimize the total completion time,” Computer and Industrial Engineering 47, 2004, 181-193 (NSC 90-2213-E-130-006) (SCI)
21. Peng-Yeng Yin, “A discrete particle swarm algorithm for optimal polygonal approximation of digital curves,” Journal of Visual Communication and Image Representation 15, 2004, 241-260 (NSC 90-2213-E-130-006) (SCI, EI)
22. S. J. Shyu, Peng-Yeng Yin, B. M. T. Lin and T. S. Hsiao, “An ant colony optimization algorithm for the minimum weight vertex cover problem,” Annals of Operations Research 131, 2004, 283-304 (NSC 90-2213-E-130-006) (SCI)
23. Peng-Yeng Yin, “Ant colony search algorithm for optimal polygonal approximation of plane curves,” Pattern Recognition 36, 2003, 1783-1797. (NSC 90-2213-E-130-006) (SCI, EI)
24. S. J. Shyu, Peng-Yeng Yin, B. M. T. Lin and M. Haouari, “Ant-Tree: An ant colony optimization approach to the generalized minimum spanning tree problem” Journal of Experimental and Theoretical Artificial Intelligence 15, 2003, 103-112. (NSC 90-2213-E-130-006) (SCI)
25. Peng-Yeng Yin, “Maximum entropy-based optimal threshold selection using deterministic reinforcement learning with controlled randomization,” Signal Processing 82, 2002, 993-1006. (NSC 91-2213-E-260-027) (SCI, EI)
26. Peng-Yeng Yin and Cheng-Chung Yeh, “Content-based retrieval from trademark databases,” Pattern Recognition Letters 23, 2002, 113-126. (NSC 87-2213-E-130-001) (SCI, EI)
27. Peng-Yeng Yin, “Skew detection and block classification of printed documents,” Image and Vision Computing 19, 2001, 567-579. (NSC 89-2218-E-130-006) (SCI, EI)
28. Peng-Yeng Yin and Yen-Bo Huang, “Automating data extraction and identification of Chinese road maps,” Optical Engineering 40, 2001, 663-673. (NSC 89-2218-E-130-006) (SCI, EI)
29. Peng-Yeng Yin, “A tabu search approach to the polygonal approximation of digital curves,” International Journal of Pattern Recognition and Artificial Intelligence 14 , Jan 2000 , 243-255. (NSC 88-2213-E-130-002) (SCI, EI)
30. Peng-Yeng Yin, “Genetic algorithms for polygonal approximation of digital curves,” International Journal of Pattern Recognition and Artificial Intelligence 13 , Dec 1999 , 1-22. (NSC 88-2213-E-130-002) (SCI, EI)
31. Peng-Yeng Yin, “A new circle/ellipse detector using genetic algorithms,” Pattern Recognition Letters 20, 1999, 731-740. (NSC 89-2213-E-130-002) (SCI, EI)
32. Peng-Yeng Yin, Polygonal approximation using genetic algorithms, Lecture Notes in Computer Science 1689, 1999, pp. 175-182. (NSC 88-2213-E-130-002) (SCI)
33. Peng-Yeng Yin, “A fast scheme for optimal thresholding using genetic algorithms, “ Signal Processing 72, 1999, 85-95. (NSC 88-2213-E-130-002) (SCI, EI)
34. Peng-Yeng Yin, “A new method for polygonal approximation using genetic algorithms,“ Pattern Recognition Letters 19, 1998, 1017-1026. (NSC 88-2213-E-130-002) (SCI, EI)
35. Peng-Yeng Yin, “Algorithms for Straight Line Fitting Using K-Means,” Pattern Recognition Letters 19, 1998, 31-41. (NSC 86-2621-E-130-002-T) (SCI, EI)
36. Peng-Yeng Yin and Ling-Hwei Chen, “A New Itrerative Scheme for Multilevel Thresholding,” Signal Processing 6, 1997, 305-311. (NSC 88-2213-E-130-002) (SCI, EI)
37. Peng-Yeng Yin and Ling-Hwei Chen, “A New Non-Iterative Clustering Approach,” Pattern Recognition Letters 15, 1994, 125-133. (SCI, EI)
38. Peng-Yeng Yin, Ling-Hwei Chen, “New Method for Ellipse Detection by Means of Symmetry,” Journal of Electronic Imaging 3, 1994, 20-29. (SCI)
39. Peng-Yeng Yin, Ling-Hwei Chen, “Random-Sampling Thresholding: A New Approach to Multilevel Thresholding,” Signal Processing 34, 1993, 311-322. (SCI)
40. Peng-Yeng Yin, Ling-Hwei Chen, “New Method for Multilevel Thresholding Using the Symmetry And the Duality of the Histogram,” Journal of Electronic Imaging 2,1993, 337-344. (SCI)
41. Ling-Hwei Chen, Peng-Yeng Yin, “A System for On-Line Recognition of Handwritten Mathematical Expressions,” Computer Processing of Chinese and Oriental Languages 6, 1992, 19-39.

研討會論文(TOP)

1. 尹邦嚴 ,蔣雅慈,侯宏彬,”利用擴散式粒子群最佳化進行多目標護士排程”, 第十四屆資訊管理暨實務研討會(IMP), 東吳大學, 2008.
2. 鄭仁達,陳典廷,尹邦嚴,”利用粒子群最佳化演算法進行雙目標運輸分配之最佳化”, 2008年民生電子研討會, 景文科技大學, 2008.
3. Peng-Yeng Yin and Chin-Wen Liu, Relevance feedback using spatial information for iconic image retrieval, Proceedings of IAPR on CVGIP, I-Lan, Taiwan, 2008.
4. 尹邦嚴,朱家賢,”一個新的全域最佳化演算法:調變記憶規劃粒子群最佳化”, 銘傳大學2008國際學術研討會, 銘傳大學, 2008.
5. 尹邦嚴,朱家賢,”禁制搜尋法為基礎之粒子群最佳化”, 第十三屆資訊管理暨實務研討會(IMP), 樹德科技大學, 2007.
6. Peng-Yeng Yin and Fred Glover, Hidden (Tabu) Secrets of Successful Evolutionary Search Methods, Proceedings of IEEE Congress on Evolutionary Computation (CEC) 2007, Singapore, 2007. (Invited Speaker)
7. Peng-Yeng Yin, Fred Glover, Manuel Laguna and Jia-Xian Zhu, Scatter PSO – A More Effective Form of Particle Swarm Optimization, Proceedings of IEEE Congress on Evolutionary Computation (CEC) 2007, Singapore, 2007. pp. 2289-2296. (EI)
8. Peng-Yeng Yin, Image Retrieval With Relevance Feedback Using Data Mining, Proceedings of International Conference on Artificial Intelligence and Pattern Recognition (AIPR’07), Orlando, FL, USA, 2007, pp. 137-144. (Invited Paper)
9. Gwo-Jen Hwang, Peng-Yeng Yin, Ji-Yu Lin and Hui-Chun Chu, “An Innovative Approach to Generating Parallel Test Sheets from Large Item Banks with Multiple Assessment Criteria”, TELearn 2007, July 14~15, 2007, National Central University, Jhong-Li, Taoyuan, Taiwan.
10. 黃國禎,林繼昱,尹邦嚴,”多目標自動化平行組卷策略之研究”, 第二屆數位內容管理與應用學術研討會, 國立台南大學, 2007.
11. 尹邦嚴,蘇恩平,”利用粒子群演算法最佳化多重符號鍵盤配置”, 第二屆數位內容管理與應用學術研討會, 國立台南大學, 2007.
12. 尹邦嚴,劉欽文,”一個可應用於空間關係影像讀取之新的相關回饋技術”, 第十二屆資訊管理暨實務研討會(IMP), 虎尾科技大學, 2006.
13. 尹邦嚴,柳依旻,”使用粒子族群最佳化演算法進行調變式查詢向量修正”, 第十二屆資訊管理暨實務研討會(IMP), 虎尾科技大學, 2006.
14. 尹邦嚴,陳嘉懋,”利用支援向量機來加強貝氏定理於相關回饋的效能”, 第十七屆國際資訊管理學術研討會(ICIM), 義守大學, 2006.
15. 尹邦嚴,陳嘉懋,”利用支援向量機加強特徵相關度評估法於相關回饋的效能”, 第二屆資訊管理學術暨專案管理實務研討會,桃園, 開南大學, 2006.
16. 尹邦嚴,陳怡孜,陳瑩哲,沈扇綸,郭怡君,”模擬蜘蛛結網之演算法及視覺化工具開發”, 銘傳大學2006國際學術研討會, 銘傳大學, 2006.
17. 尹邦嚴,陳嘉懋,”利用支援向量機來加強查詢向量修正法於相關回饋的效能”, 2005科技與管理學術研討會, 台北科技大學, 2005.
18. 尹邦嚴,林彥辰,”使用機率式分群演算法自動產生測試資料”, 第十一屆資訊管理暨實務研討會(IMP), 實踐大學, 2005.
19. 尹邦嚴,林彥辰,”使用機率式分群演算法求解資源分配問題”, 第二屆台灣作業研究學會學術研討會, 政治大學, 2005.
20. 尹邦嚴,林彥辰,”以機率式分群演算法為基礎之自動化程式錯誤偵測”, 2005管理與技術國際學術研討會, 雲林科技大學, 2005.
21. Peng-Yeng Yin and Shin-Hwei Li, Content-Based Image Retrieval Using Association Rule Mining With Soft Relevance Feedback, Proceedings of IAPR on CVGIP, Taipei, Taiwan, 2005.
22. Gwo-Jen Hwang, Peng-Yeng Yin, Gwo-Haur Hwang and Ying Chan, A Novel Approach for Composing Test Sheets from Large Item Banks to Meet Multiple Assessment Criteria, The 5th IEEE International Conference on Advanced Learning Technologies (ICALT’05), Kaohsiung, Taiwan, July 5-8, 2005. (EI)
23. 尹邦嚴,李善誠,”利用螞蟻族群最佳化演算法解決無線通訊頻道指派問題”, 學習型知識社群與電子商務實務研討會, 文化大學, 2005.
24. 尹邦嚴,王珮珮,”基於混合式粒子群最佳化之多目標工作分配”, 第一屆數位內容管理與應用學術研討會, 高雄第一科技大學, 2005.
25. 尹邦嚴,王珮珮,”以粒子群體最佳化為基礎之分散式系統工作分配”,第十六屆國際資訊管理學術研討會(ICIM), 輔仁大學, 2005.
26. 尹邦嚴,王敬育,”使用粒子群最佳化求解資源分配問題”, 第一屆資訊管理學術暨專案管理實務研討會, 開南管理學院, 2005.
27. 尹邦嚴,林彥辰,”以粒子群體最佳化為基礎之自動化程式錯誤偵測”, 第一屆資訊管理學術暨專案管理實務研討會, 開南管理學院, 2005.
28. 柳依旻,江元傑,黃冠哲,陳映良,尹邦嚴,”粒子族群最佳化的視覺化及開發工具”,銘傳大學2005國際學術研討會, 銘傳大學, 2005.
29. 尹邦嚴,王珮珮,”使用混合式粒子群最佳化演算法進行分散式系統之最佳化工作分配”,第十屆資訊管理暨實務研討會(IMP), 台中技術學院, 2004, pp. 2571-2583.
30. 尹邦嚴,王敬育,”使用螞蟻族群最佳化求解資源分配問題”,第一屆台灣作業研究學會學術研討會暨2004年科技與管理學術研討會, 台北科技大學, 2004, pp. 585-594.
31. Peng-Yeng Yin, Optimal polygonal approximation using discrete swarm algorithms, Proceedings of the 6th IASTED International Conference on Signal and Image Processing SIP 2004, Honolulu, Hawaii, USA, 2004. (EI)
32. C. M. LAI, Peng-Yeng Yin and S. J. Shyu, A Tabu Search Algorithm for Evolutionary Tree Construction based on Maximum Likelihood Criterion, Proceedings of 2004 International Academic Conference, Taoyuan, Taiwan, 2004, pp. 66-75 (in Chinese).
33. Hong-Rong Hong, Kuo-Chan Yu, Lin-Yen Chen, Yeh-Hsiu Chi, Wu-Zea Chang and Peng-Yeng Yin, An Application of Ant Colony Optimization to On-Line Strategic Game – A Study on a Football Game, Proceedings of 2004 International Academic Conference, Taoyuan, Taiwan, 2004, pp. 233-243 (in Chinese).
34. Peng-Yeng Yin, S. J. Shyu, S. J. Yang and Y. C. Chang, Reinforcement learning for improving gene identification accuracy by combination of gene-finding programs, Proceedings of National Computer Symposium NCS’2003, Taichung, Taiwan, 2003.
35. Peng-Yeng Yin, B. Bhanu, K. C. Chang and A. Dong, Reinforcement learning for combining relevance feedback techniques in image retrieval, Proceedings of IEEE International Conference on Computer Vision ICCV’2003, Nice, France, 2003.
36. Peng-Yeng Yin and K. C. Chang, Integrating relevance feedback techniques for content-based image retrieval using reinforcement learning, Proceedings of IAPR on CVGIP, Hsin-Chu, Taiwan, 2002, pp. 345-352.
37. Peng-Yeng Yin, B. Bhanu, K. C. Chang and A. Dong, Improving retrieval performance by long-term relevance information, Proceedings of International Conference on Pattern Recognition ICPR’2002, Quebec City, Canada, 2002.
38. Peng-Yeng Yin and S. J. Shyu, Multiple sequence alignment by genetic algorithms, Proceedings of SCI’2002, FL, USA., 2002.
39. J. W. Chen, J. Y. Yao, F. L. Lin, W. Y. Wu, D. Y. Lin, F. Y. Liu, I. S. Wu and Peng-Yeng Yin, Content-based Image Retrieval Using Relevance Feedback Techniques, Proceedings of International Academic Conference on E-Era Challenge, Taoyuan, Taiwan, 2002, pp. 337-353.
40. Peng-Yeng Yin, Content-based trademark retrieval with fuzzy clustering and relevance feedback, Proceedings of NCS’2001, Taipei, Taiwan, 2001, pp. D032-D042.
41. Y. S. Hsu, T. F. Ho, Peng-Yeng Yin and H. L. Tso, Automatic program flaw detection using Tabu search, Proceedings of NCS’2001, Taipei, Taiwan, 2001, pp. G261-G268.
42. Peng-Yeng Yin, Polygonal approximation of planar digital curves using ant systems, Proceedings of Intelligent Agent Technology IAT'2001, Mabashi city, Japan, 2001, pp. 375-384.
43. Peng-Yeng Yin, Q-learning algorithm for optimal multilevel thresholding, Proceedings of International Conference on Artificial Intelligence ICAI’2001, Monte Carlo Resort, Las Vegas, Nevada, USA, 2001.
44. B. M. T. Lin, Peng-Yeng Yin and S.J. Shyu, An application of ant colony systems to no-wait flowshop scheduling, Proceedings of INFORMS Meeting, Maui, Hawaii, June, 2001.
45. Peng-Yeng Yin, An intelligent system for printed document image analysis, Proceedings of International Academic Conference: New Millennium, new thoughts, Taoyuan, Taiwan, 2001, pp. 441-454.
46. C.K. Yang, Peng-Yeng Yin and Y.C. Chen, A study on image database accessing using techniques of color moments, Proceedings of International Academic Conference: New Millennium, new thoughts, Taoyuan, Taiwan, 2001, pp. 267-278.
47. Y.C. Chen, C.K. Yang and Peng-Yeng Yin, Color indexing using moment preserving and bit decomposition techniques, Proceedings of IAPR on CVGIP, Ken-Ding, Taiwan, 2001, pp. E2-2.
48. Peng-Yeng Yin, Skew estimation of documents using run length smoothing and modified Hough transform, Proceedings of CISST'2000, Las Vegas, USA, 2000, pp. 261-268.
49. Peng-Yeng Yin and Yen-Bo Huang, Automatic data extraction and identification for paper-based Chinese road maps, Proceedings of CISST'2000, Las Vegas, USA, 2000, pp. 507-514.
50. Peng-Yeng Yin, A genetic algorithm for circle/ellipse detection based on symmetry, Proceedings of FSPIPA’99, Budapest, Hungary, 6-7 September, 1999, pp. 87-98.
51. 尹邦嚴,黃彥博,林進欣,簡元俊,李秋蓉,江孟芸, "自動化地圖讀取系統", 中華地理資訊學會年會暨學術研討會, 台中, 台灣, 1999, pp. 56.
52. Peng-Yeng Yin, A new circle/ellipse detector using genetic algorithms, Proceedings of IAPR on CVGIP, Taipei, Taiwan, 1998, 362-368.
53. Peng-Yeng Yin, “Genetic algorithms for optimal polygonal approximation of planar digital curves,” Proceedings of 1997 Workshop on Information Management, Taipei, Taiwan, 1997, pp. 163-172.
54. Peng-Yeng Yin, “Algorithms for Straight Line Fitting Using K-Means,” Proceedings of IAPR on CVGIP, Taichung, Taiwan, 1997, 284-291.
55. Peng-Yeng Yin, “Genetic Algorithms for Polygonal Approximation,” Proceedings of IAPR on CVGIP, Taichung, Taiwan, 1997, 292-299.
56. Peng-Yeng Yin, Ling-Hwei Chen, “New Method for Multilevel Thresholding Using the Symmetry And the Duality of the Histogram,” Proceedings of 1994 International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, 1994, 45-48.
57. Ling-Hwei Chen, Peng-Yeng Yin, “A System for On-Line Recognition of Handwritten Mathematical Expressions,” Proceedings of 1991 International Conference on Computer Processing of Chinese and Oriental Languages, Taipei, Taiwan, 1991, 138-142.

專書及專書論文(TOP)

1. Peng-Yeng Yin, Shyong-Jian Shyu, Guan-Shieng Huang, and Shuang-Te Liao, A Bayesian Framework for Improving Clustering Accuracy of Protein Sequences Based on Association Rules, in: H. H. Hsu (Ed.), Advanced Data Mining Technologies in Bioinformatics, Idea Group Publishing, Hershey, 2006, 231-247.
2. Peng-Yeng Yin, Polygonal Approximation of Digital Curves Using the State-of-the-art Metaheuristics, in: G. Obinata and A. Dutta (Ed.), Vision Systems, Segmentation and Pattern Recognition, Advanced Robotic Systems International, June 2007.
3. Peng-Yeng Yin and Shan-Cheng Li, Hybrid Ant Colony Optimization for the Channel Assignment Problem in Wireless Communication, in: F. T. S. Chan and M. K. Tiwari. (Ed.), Swarm Intelligence, Focus on Ant and Swarm Particle Optimization, Advanced Robotic Systems International, December 2007.
4. Peng-Yeng Yin, Registration of Point Patterns Using Modern Evolutionary Algorithms, in: Peng-Yeng Yin (Ed.), Pattern Recognition; Techniques, Technology and Applications, Advanced Robotic Systems International, December 2008.