1. O.K. Ersoy, C.H. Chen, P.-T. Yu, and P. Yegani,“ Information Processing and Storage Based on Transforms and Neural Networks,” IEEE First Annual International Conference on Neural Computing, San Diego, California, June 1987.
2. P.-T. Yu and E.J. Coyle, “The Classification and Associative Memory Capability of Stack Filters,” Proc. of 27th Annual Allerton Conf. on Communication, Control, and Computing, Ill., Sept, 1989.
3. P.-T. Yu and E.J. Coyle, “On the Existence and Design of the Best Stack Filter Based Associative Memory,” the 1990 IEEE International Symposium on Circuits and Systems, New Orleans, May 1990.
4. P.-T. Yu, “The And-Reducing VLSI Architecture of Median Filters,” The IEEE Workshop on Visual Signal Processing and Communications, National Chiao Tung University, Hsinchu, Taiwan, June 6-7, 1991.
5. P.-T. Yu, “Some Representation Properties of Stack Filters,” the 1991 IEEE International Symposium on Circuits and Systems, Singapore, June 1991.
6. P.-T. Yu and Wen-Long Wang, “Root Properties of Median Filters under Three Appending Strategies,” the 1991 IEEE International Symposium on Circuits and Systems, Singapore, June 1991.
7. M. Gabbouj, E.J. Coyle and P.-T. Yu, “Convergence Behavior and Convergence Rates of Stack Filters,” the 1991 IEEE International Symposium on Circuits and Systems, Singapore, June 1991.
8. P.-T. Yu, “Asymmetric Rank-Order Filters and Their Morphological Representations,” the 1992 IEEE International Symposium on Circuits and Systems, San Diego, May 1992.
9. P.-T. Yu, “K-Monotonic Stack Filters,” the fifth Canadian conference on Electrical and Computer Engineering, Sept. 1992
10. P.-T. Yu and Y.-W. Hung, “Strong Regular Stack Neural Networks,” the 1992 Neural Network Conference, Taipei, Taiwan, Dec. 1992.
11. P.-T. Yu, “Two-Stage Stack Neural Networks,” the 1992 International Computer Symposium, Taiwan, Dec. 1992.
12. P.-T. Yu and W.-H. Liao, “The Classification of Threshold Logic Based Stack Filters,” the 1993 IEEE Winter Workshop on Nonlinear Digital Signal Processing, Finland, Jan. 1993.
13. P.-T. Yu and W.-H. Liao, “The Convergence Behavior of Symmetric Weighted Median Filters,” the 1993 IEEE Winter Workshop on Nonlinear Digital Signal Processing, Finland, Jan. 1993.
14. P.-T. Yu and K.-H. Fang, “The Graph Representation of Stack Filters,” the 1993 IEEE Winter Workshop on Nonlinear Digital Signal Processing, Finland, Jan. 1993.
P.-T. Yu and W.-H. Liao, “A Fast Algorithm for Checking the Relationship Between Stack Filters and Weighted Median Filters ", the 1993 IEEE International Symposium on Circuits and Systems, Chicago, May 1993.
15. P.-T. Yu and K.-H. Fang, “Some Properties of Graph-Based Stack Filters,” IEEE International Conference on Signal Processing (ICSP'93/Beijing), Beijing, Oct. 1993.
16. P.-T. Yu and C.-D. Chang, “The Global Filtering Behaviors of Stack Filters,” the 1993 National Computer Symposium, Chiayi, Taiwan, R.O.C., Dec. 1993.
17. P.-T. Yu and R.-C. Chen, “Associative Positive Boolean Functions and Their Matrix Representations,” the 1993 National Computer Symposium, Chiayi, Taiwan, R.O.C., Dec. 1993.
18. P.-T. Yu and C.-S. Lee, “Adaptive Fuzzy Median Filter,” the 1993 International Symposium on Artificial Neural Networks, Hsinchu, Taiwan, R.O.C., Dec. 1993.
19. S. J. Jiang and P.-T. Yu, “A Code Division Multiple Access Packet Radio Sub-system under Intelligent Network Concepts,” the 8th International Joint Workshop on Computer Communication, Taipei, Taiwan, R.O.C., Dec. 1993.
20. R.-C. Chen and P.-T. Yu, “The Optimal Stack Filtering by Neural Learning Based on (m, n) Rank Order Filters,” the 1994 Workshop on Computer Applications, p168 ~ p172, Taichung, Taiwan, April, 1994.
21. R.-C. Chen and P.-T. Yu, “Associative Positive Boolean Functions and Their Maximum Stacking Vector Representation,” the 1994 IEEE International Symposium on Circuits and Systems, London, May 1994.
22. R. Yang, M. Gabbouj and P.-T. Yu, “Parameter Analysis of Weighted Order Statistic Filters,” the 1994 IEEE International Symposium on Circuits and Systems, London, May 1994.
23. P.-T. Yu and C.-S. Lee, “Fuzzy Mean Filter and its Application in Image Processing,” 中華民國第二屆模糊理論與應用研討會, Taipei, Taiwan, Sept. 1994.
24. P.-T. Yu and R.-C. Chen, “On the Design of a Mixed Fuzzy Stack Filter in the Fuzzy Space Formed by the Asymmetric Median Filters,” the 10the Workshop on Combinatorial Mathematics and Computation Theory, Dec. 9, 1994.
25. P.-T. Yu, “Threshold Logic Based Neural Filters with Nonnegative Weights and Threshold Values - Their Classification and Retrieval Behaviors,” the 1994 International Computer Symposium, Taiwan, Dec. 1994.
26. P.-T. Yu and D.-S. Chen, “A Fast and Efficient Learning Algorithm of Adaptive Weighted Order Statistics Filters,” the 1994 International Symposium on Artificial Neural Networks, Tainan, Taiwan, R.O.C., Dec. 1994.
27. P.-T. Yu and R.-C. Chen, “An Associative Representation of Stack Neural Networks - Maximum Stacking Vector Representation,” the 1994 International Symposium on Artificial Neural Networks, Tainan, Taiwan, R.O.C., Dec. 1994.
28. A. Taguchi, M. Gabbouj, I. Tabus and P.-T. Yu, “Adaptive Fuzzy WOS Filtering,” the 1994 International Symposium on Artificial Neural Networks, Tainan, Taiwan, R.O.C., Dec. 1994.
29. R.-C. Chen and P.-T. Yu, “An Optimal Design of Fuzzy (m, n) Rank Order Filtering with Hard Decision Neural Learning,” the 1995 IEEE International Symposium on Circuits and Systems, Seattle, April 1995.
30. P.-T. Yu and R.-C. Chen, “Fuzzy Stack Filters - Their Definitions, Fundamental Properties and Application in Image Processing,” the 1995 IEEE Workshop on Nonlinear Signal and Image Processing, Greece, June 1995.
31. P.-T. Yu, “Fuzzy Stack Neural Networks with Parameter Control,” 1995人工智慧研討會，台大，台北，九月，1995。
32. P.-T. Yu and R.-H. Hwang, “Fuzzy Rank Ordering,” 1995人工智慧研討會，台大，台北，九月，1995。
33. C.-S. Lee, Y.-H. Kuo and P.-T. Yu, “Weighted Fuzzy Mean Filters for Heavy-Tailed Noise Removal,” ISUMA-NAFIPS’95, College Park, Maryland, USA, Sept. 1995.
34. P.-T. Yu and Y.-C. Hsiao, “On the Optimal Design of T-norm and T-conorm Based Fuzzy Weighted Order Statistic Filters with Neural Learning in the Application of Image Processing,” the 1996 IEEE International Symposium on Circuits and Systems, Atlanta, May 1996.
35. R.-C. Chen and P.-T. Yu, “Nonlinear Filter Design Based on Rank Conditioned Framework in Image Processing,” the IASTED International Conference, Signal and Image Processing and Applications - SIPA 96, Annecy, France, June 1996.
36. R.-C. Chen and P.-T. Yu, “On the Optimal Design of Rational Rank Selection Filters for Image Restoration,” the 1996International Conference on Image Processing, Lausanne, Switzerland, Sept. 1996.
37. Pao-Ta Yu and Hung-Hsu Tsai, “On the Design and Study of Adaptive Capability for Neural Network Filters in Image Restoration,” the 1996 International Computer Symposium, Taiwan, Dec. 1996.
38. Rong-Chung Chen and Pao-Ta Yu, “On the Optimal Design of Fuzzy Rank Selection Filters for Image Restoration,” the 1997 IEEE International Symposium on Circuits and Systems, Hong Kong, June 1997.
39. Rong-Chung Chen and Pao-Ta Yu, “Nonlinear Filter Design Based on Fuzzy Inference Rules for Image Processing,” the 1997 IEEE Workshop on Nonlinear Signal and Image Processing, Mackinac Island, Michigan, USA, Sept. 1997.
40. Hung-Hsu Tsai, Shih-Che Lo and Pao-Ta Yu, “Rank-Ordered Neural Network Filters for Image Rstoration,” the 1997 IEEE Workshop on Nonlinear Signal and Image Processing, Mackinac Island, Michigan, USA, Sept. 1997.
41. Pao-Ta Yu and Jia-Hong Wu, “On the Design of Adaptive Fuzzy Regression Selection Filter with the Application of Image Restoration.,” the 1997 IEEE Workshop on Nonlinear Signal and Image Processing, Mackinac Island, Michigan, USA, Sept. 1997.
42. Hung-Hsu Tsai and Pao-Ta Yu, “Color Image Filters Based on Ordered Vectors and Fuzzy Rulers,” the 1997 Fifth National Conference on Fuzzy Theory and Applications, Tainan, Taiwan, Dec. 1997.
43. Hung-Hsu Tsai and Pao-Ta Yu, “Adaptive Color Image Filters Based on Fuzzy Impulse Detectors,” the 1997 International Symposium on Multimedia Information Processing, Taipei, Taiwan, Dec. 1997.
44. P.-T. Yu, H.-H. Tsai and S.-H. Chen, "Fuzzy Hybrid Multichannel Filters Based on Radical-Basis Function Networks for Color Image Restoration," the 6th National Conference on Fuzzy Theory and Applications, CHAO-YANG UNIVERSITY OF TECHNOLOGY, Wufeng, Taichung County, Taiwan, Dec. 1998.
45. H.-H. Tsai and P.-T. Yu, "Color Image Restoration Using Genetic-Based Fuzzy Hybrid Multichannel Filters to Remove Impulsive Noises," the 6th IEEE International Workshop on Intelligent Signal Processing and Communication Systems, Melbourne AUSTRALIA, 4-6 November 1998.
46. P.-T. Yu and J.-C. Chi, “網路互動教材的益智功能之研究與設計,” 中華民國第十三屆電腦輔助教學研討會，台中，五月，1999。
47. H.-H. Tsai and P.-T. Yu, “Adaptive Fuzzy Hybrid Multichannel Filters for Color Image Restoration, ” the 1999 IEEE Workshop on Nonlinear Signal and Image Processing, Antalya, Turkey, June 1999.
48. Pao-Ta Yu, Lih-Shing Wang, Chung-Ming Own and Hisen-Keng Lin, “Intelligent Computerized Adaptive Test,” the 7th International Conference on Computers in Education, Chiba, Japan, 4-7 November 1999.
49. P.-T. Yu and C.-C. Chu, “Computerized Adaptive Test Based on Fuzzy Rules,” the 4th Global Chinese Conference on Computers in Education, Singapore, May, 2000.
50. 游寶達、方政楷、翁仲銘, “Building Learning Bridge between Theory and Technology,” 第十四屆電腦輔助教學研討會，台中，十月，2000。
51. Pao-Ta Yu, Chung-Ming Own, “Mining Time Series with Fuzzy Association Rules for Forecasting Enrollments,” ICS2000, Chiayi, Taiwan, Nov. 2000.
52. Hung-Hsu Tsai , Ji-Shiung Cheng and Pao-Ta Yu, “Audio Watermarking Based on Neural Networks in DCT Domain,” ICS2000, Chiayi, Taiwan, Nov. 2000.
53. Pao-Ta Yu, Hung-Hsu Tsai and Ji-Shiung Cheng, “Copyright Protection of Audio Using a Signal-Dependent Watermark Based on Neural Networks and Psychro-acoustic Models,” 第五屆人工智慧與應用研討會, Taipei, Taiwan, Nov. 2000.
54. Pao-Ta Yu, Chung-Ming Own and Mu-Cchao Wang, “On the Design of Internet-Based Monitoring System with Intelligent Technology,” 2000中華民國第八屆模糊理論及其應用會議, Taipei, Taiwan, Nov. 2000.
55. P.-T. Yu, H.-H. Tsai and J.-S. Lin, “Digital Watermarking Based on Neural Networks for Color Images,” 2001 EEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Baltimore, Maryland, USA, 2001.
56. Pao-Ta Yu, Chung-Ming Own, and Li-Wey Lin, “On the Learning Behavior Analysis of Web Based Interactive Environment,” ICCE 2001, Korea, Dec. 2001.
57. Pao-Ta Yu , Chung-Ming Own, and Yu-Tsu Tseng, “The XML-Based Equation Technology for Mathematical Learning,” ICCE 2001, Korea, Dec. 2001.
58. Pao-Ta Yu , Chung-Ming Own, and Yu-Tsu Tseng, “The XML-Based Equation Technology for Mathematical Learning,” The 1st International Conference on Web-based Learning, HK, Aug. 2002.
59. Pao-Ta Yu and Ming-Tsung Liu, “e-Learning and Related Standards: On the Study of e-Learning Standardization for the Loose and Tight Frameworks,” International Workshop on e-Learning Science and Technology, Shanghai, China, Nov. 2002.
60. Tzu-Chao Lin and Pao-Ta Yu, “A new unsupervised competitive learning algorithm for vector quantization,” in Proc. 9th International Conference on Neural Information Processing, ICNOIP’2, Singapore, Nov. 2002.
61. Pao-Ta Yu and Chung-Ming Own, “Mathematical Education Technology Based on the Theory of Cognitive Constructivism and Concept Map,” ICCE 2002, New Zealand, Dec. 2002.
62. Chung-Ming Own, Chien-Tsang Chen and Pao-Ta Yu, “Expert Tutoring System for Teaching Mathematics by Tablet PC,” ICCAI 2003, Taipei, Taiwan, R.O.C., April 2003.
63. Pao-Ta Yu and Ming-Tsung Liu, “On the Study of e-Learning Standards in Business Logic Level for Developing Reusable and Interoperable Software Components,” WISCS 2003, Kaoshung, Taiwan, R.O.C., April 2003.
64. Tzu-Chao Lin and Pao-Ta Yu, “Application of partition fuzzy median type filters for suppressing noise in image restoration,” in Proc. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, NSIP03 , Trieste, Italia, June 2003.
65. Jin-Tan David Yang, Pao-Ta. Yu, and Chi-Chin Lee, “Using Ontology as Recommending Strategy--A Case of Mathematics Courses at Junior High School Level,” ICCE 2003, Hong Kong, Dec. 2003.
66. Pao-Ta Yu and Yuan-Hou Chang, “On the Design of an Intelligent SCORM Conformance System Adopting Web Services and Advanced Learning Technology,” GCCCE 2004, Hong Kong, June 2004.
67. C.-C. Yao and P.-T. Yu, “Oblique Support Vector Machines,” in Proc. ISIMP, Hong Kong, October 2004, pp. 699-702.
68. P.-T. Yu and Yuan-Hou Chang, “A Dynamically Semantic Validation System of Learning Object Metadata Based on Web Services,” 第六屆海峽兩岸資訊技術研討會，南京，11月，2004。
69. Chung-Ming Own, Pao-Ta Yu, Hung-Hsu Tsai and Yao-Ju Lee, “Adaptive Type-2 Fuzzy Median Filters for Removal of Impulsive Noises,” NSIP 2005, May, Japan.
70. Chih-Chia Yao and Pao-Ta Yu, “Oblique Supports Vector Machines,” NSIP 2005, May, Japan.
71. Pao-Ta Yu, Hsiu-Wen Li and Chia-Ming Liu, “The Study of Adaptive Learning Sequence in the Knowledge Space based on Formal Concept Analysis,” NCS2005, Tainan, Taiwan.
72. Pao-Ta Yu, Yen-Shou Lai and Jiunn-Yuh Wu, “Using ICT with Competence Indicators for the Learning of Mathematics,”NCS2005, Tainan, Taiwan.
73. Pao-Ta Yu, Yuan-Hau Chung, Hung-Chun Lai and Ting-Wen Chang “On the Design and Application of Presenting and Teaching Aided System Based on Dual-Display Technology,”NCS2005, Tainan, Taiwan.
74. Chung-Ming Own and Pao-Ta Yu, “Reasoning Partially True Knowledge by Type-2 Similarity,” the 17th International Conference on Information Management (ICIM 2006).
75. Pao-Ta Yu, “How to Apply Learning Technology to Improve the Teaching Quality,” keynote speaker, 2006 Symposium on Digital Learning, May，屏東教育大學。
76. Bae Muu Chang and Pao-Ta Yu, “Handwritten Character Recognition Using Similarity Rating”, International Conference on Business and Information, July 12-14, 2006, Singapore.
77. Pao-Ta Yu, Yen-Shou Lai, Chia-Ming Liu, and Jenq-Muh Hsu, “The Development of a Grouping System in a Collaborative Learning Environment,” ICCE 2006, Peeking, China, Dec. 2006.
78. Pao-Ta Yu, Li-Wei Hsiao, and Ting-Wen Chang, “Using Multi-Monitor Technology to Construct a Simultaneous Authoring and Synchronized Mathematical Teaching Aided System,” The 11th Asian Technology Conference in Mathematics – Advancing and Fostering Mathematical Sciences and Education through Technology, Hong Kong, Dec. 2006.

國科會計畫

1. 091科技導向之可建構式學習面研究(1/2)
2. 091 符合SCORM標準之學習元件及技術工具設計-總計劃:符合SCORM標準之學習元件及技術工具設計(1/2)
3. 091 符合SCORM標準之學習元件及技術工具設計-子計劃一:符合SCORM標準及學習構面之教材元件及整合器設計(1/2)
4. 091 教育導向的科學遊戲軟體設計製作計劃-多媒體網路益智園地
5. 091 先進快速原型製造系統應用於產業自動化及電子化(3/3)--子計畫一:智慧型網際網路快速原型製造系統動態模擬系統之研發
6. 092 基於科技導向之可建構式學習構面研究(2/2)
7. 092 符合SCORM標準之學習元件及技術工具設計-總計畫:符合SCORM標準之學習元件及技術工具設計(2/2)
8. 092 符合SCORM標準之學習元件及技術工具設計-子計畫一:符合SCORM標準及學習構面之教材元件及整合器設計(2/2)
9. 092 基於科技導向之可建構式學習構面研究(2/2)
10. 092 智慧型分類學習機制及管理技術之研發並應用於影像復原系統之設計
11. 092 大學生跨領域科技能力培養研究計畫－網路違犯及不當行為診斷與預防科技教育學程研究計畫(2/3)
12. 092 教育導向的科學遊戲軟體設計製作計畫-多媒體線上遊戲之開放式網路益智園地
13. 092 從知識管理觀點探討教師應用資訊科技與教材設計之效能研究
14. 093 具有概念內涵的數位學習標準技術之研究-總計劃(1/3)
15. 093 具有概念內涵的數位學習標準技術之研究─概念式學習流程之研究及建置(1/3)
16. 093 以證據理論和型態二模糊理論所研發之高階型模糊推理機制和其應用
17. 093 大學生跨領域科技能力培養研究計劃-網路違犯及不當行為診斷與預防科技教育學程研究計畫(3/3)
18. 094 具有概念內涵的數位學習標準技術之研究-總計劃(2/3)
19. 094 具有概念內涵的數位學習標準技術之研究-概念式學習流程之研究及建設(2/3)
20. 094 高階型模糊推論系統之進階研究及應用推展
21. 095 具有概念內涵的數位學習標準技術之研究-概念式學習流程之研究及建置(3/3)
22. 095 具有概念內涵的數位學習標準技術之研究-總計畫(3/3)
23. 095 基於類神經網路、模糊推論及正規概念分析之智慧型計算技術研發及其臉部表情辨識之應用
24. 096 數位學習環境之佈局、管理及使用-數位學習環境之佈局、管理及使用(1/3)
25. 096 智慧型運算技術應用於臉部表情辨識之研究

教育部計畫

1. 091 我國加入WTO對高等教育e-Learning之影響評估與整體因應策略
2. 092 九十二年度「資訊種子學校建置與教師團隊培訓－中區（臺中縣／市、彰化縣、南投縣、雲林縣、嘉義縣／市、澎湖縣）輔導計畫」
3. 092 二年度大專院校數位學習訪視計畫
4. 092 九十二年度大專院校數位學習訪視計畫
5. 093 中小學教師資訊科技素養基準制定計畫（子計畫－數學領域）
6. 093 國家科學技術發展基金－數位學習國家型科技計畫－教育部計畫：教育部六大學習網入口網站與教材交換建置計畫
7. 093 離島及偏遠地區中小學教師在職進修遠距教學人才培育計畫－數位學習平台服務
8. 094 94年城鄉學校數位落差輔導與評估計畫
9. 094 縮短城鄉數位落差－縮短學校數位落差對策之研擬與示範模示之建立計畫：分區子計畫
10. 094 94年大專院校數位學習訪視計畫
11. 095 95年六大學習網入口網站與教材交換建置計畫
12. 095 嘉義縣1區偏鄉數位機會中心第二期輔導計畫

經濟部計畫

1. 091至093 經濟部商業司‧商業電子化人才培訓計畫
2. 092 資訊電子工業人才培訓計畫-ｅ化課程建置計畫
3. 094至95 商業服務業e化培訓計畫

其他計畫

1. 096 07年惠普科技高等教育教學改善計畫

校內數位學習中心計畫

1. 094 網路教學專業研習班
2. 094 Flash基礎課程及Viewlet Builder研習班
3. 095 數位學習及網路大學
4. 096 數位學習及網路大學