林明言

教授

林明言老師現為逢甲大學資訊工程系專任教授。他分別於西元1988年在國立交通大學計算機工程學系獲得學士、1990年在國立交通大學訊工程學系獲得碩士、2003年在國立交通大學訊工程學系獲得博士學位。1980年至1998年間,先後在新竹科學園區神達電腦股份有限公司擔任產品開發部工程師與中強光電股份有限公司擔任軟體研發部副理。2004年起在學術界開始專任教師的職務。他曾四度獲得中華民國資訊學會最佳碩博士論文獎佳作指導老師獎。也分別榮獲逢甲大學優良導師與教學績優獎。執行許多科技部研究計畫、擔任產學計畫主持人與業界顧問。主要的研究興趣是資料庫、資料探勘與巨量資料分析。


學歷

  • 國立交通大學 資訊工程學系 博士
  • 國立交通大學 資訊工程研究所 碩士
  • 國立交通大學 計算機工程系 學士

專長

  • 資料探勘與資料庫
    Data Mining & Database
  • 巨量資料分析
    Big Data Analytics
  • 可解釋之人工智慧
    Explainable AI
  • 推薦系統
    Recommendation Systems

校內經歷

  • 3D列印研究發展中心 創新發展組組長
  • 交通工程與管理學系 兼任講師
  • 資訊工程學系 副教授
  • 資訊工程學系 助理教授
  • 資訊工程學系 教授

校外經歷

  • 靜宜大學 資訊管理學系 助理教授
  • 台中健康暨管理學院 資訊管理系 講師
  • 靜宜大學 會計系 講師
  • 中強光電股份有公司 副理
  • 神達電腦股份有限公 工程師

論文及參與計畫

  1. Ming-Yen Lin, I-Chen Hsieh, and Sue-Chen Hsueh*, "Enhancing Personalized Explainable Recommendations with Transformer Architecture and Feature Handling," Electronics (Special issue: Recommender Systems: Approaches, Challenges and Applications, 3rd Ed.), 14(5), 998. https://doi.org/10.3390/electronics14050998 (IF:2.6, Q2), 2025-02. (SCIE,EI)
  2. Ming-Yen Lin, Hsin-You Chi and Wen-Cheng Chao*, "Multitask learning to predict successful weaning in critically ill ventilated patients: A retrospective analysis of the MIMIC-IV database," DIGITAL HEALTH, Volume 10: 1-13. (https://doi.org/10.1177/20552076241289732) (IF:2.9, Q2), 2024-10. (SCIE)
  3. Ming‐Yen Lin, Hsuan‐Chun Liu, and Sue‐Chen Hsueh*, "Enhanced Text Classification with Label‐Aware Graph Convolutional Networks," Electronics (Special Issue: Advanced Machine Learning, Pattern Recognition, and Deep Learning Technologies: Methodologie, 13, 2944. https://doi.org/10.3390/electronics13152944 (IF:2.6, Q2), 2024-07. (SCIE,EI)
  4. Sue-Chen Hsueh, Min-Shan Shih, Ming-Yen Lin*, "Context Enhanced Recurrent Neural Network for Session-Aware Recommendation," Communications in Computer and Information Science, vol. 2075, Springer, Vol. 2075 (https://doi.org/10.1007/978-981-97-1714-9_5), 2024-03. (EI)
  5. Ming-Yen Lin, Ping-Chun Wu and Sue-Chen Hsueh*, "Optimizing Session-Aware Recommenders: A Deep Dive into GRU-Based Latent Interaction Integration," Future Internet (Special issue: Deep Learning in Recommender Systems), 16(2), 51; https://doi.org/10.3390/fi16020051 (ESCI, IF:3.4, CITESCORE:6.7), 2024-01. (EI)
  6. Ming-Yen Lin, Yuan-Ming Chang, Chi-Chun Li, and Wen-Cheng Chao*, "Explainable Machine Learning to Predict Successful Weaning of Mechanical Ventilation in Critically Ill Patients Requiring Hemodialysis," Healthcare, 11(6), 910; https://doi.org/10.3390/healthcare11060910 (SCIE, PubMed, PMC, IF:3.16), 2023-03. (SSCI,SCIE)
  7. Ming-Yen Lin, Cheng-Tai Fu, and Sue-Chen Hsueh*, "Interactive Mining of Probabilistic Frequent Patterns in Uncertain Databases," International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 30, Issue 02, pp. 263 - 283, 2022 (IF:1.518), 2022-04. (SCIE,EI)
  8. Ming-Yen Lin, Chi-Chun Li, Pin-Hsiu Lin, Jiun-Long Wang, Ming-Cheng Chan, Chieh-Liang Wu, and Wen-Cheng Chao*, "Explainable Machine Learning to Predict Successful Weaning among Patients Requiring Prolonged Mechanical Ventilation: A Retrospective Cohort Study in Central Taiwan," Frontiers in Medicine, https://doi.org/10.3389/fmed.2021.663739, 2021-04. (SCIE,PubMed, PMC, Scopus (IF:5.09))
  9. Chien-An Hu, C.-M. Chen, Y.-C. Fang, S.-J. Liang, H.-C. Wang, W.-F. Fang, C.-C. Sheu, W.-C. Perng, K.-Y. Yang, K.-C. Kao, C.-L. Wu, C.-S. Tsai, Ming- Yen Lin*, Wen-Cheng Chao*, "Using a machine learning approach to predict mortality in critically ill influenza patients: a cross- sectional retrospective multicentre study in Taiwan," BMJ Open, BMJ Open 2020; 10:e033898. doi:10.1136/ bmjopen-2019-033898, 2020-02. (SCIE,EI)
  10. Ming-Yen Lin, Sue-Chen Hsueh, and Chih-Chen Chan, "Mining and Maintenance of Sequential Patterns using a Backward Generation Framework," Journal of Information Science and Engineering, Vol. 34, No. 5, pp. 1329 - 1349, 2018-09. (SCIE,EI)
  11. Ming-Yen Lin, Chao-Wen Yang, and Sue-Chen Hsueh, "Efficient Computation of Group Skyline Queries on MapReduce," GSTF Journal on Computing, Vol. 5, No.1: 69, 2016-08. (Technology and Engineering)
  12. Ming-Yen Lin, Tzer-Fu Tu, Sue-Chen Hsueh, "High Utility Pattern Mining using the Maximal Itemset Property and Lexicographic Tree Structures," Information Sciences: an International Journal, vol.215, pp. 1-14, 2012-12. (SCIE,EI)
  13. Ming-Yen Lin, Sue-Chen Hsueh, and Chia-Wen Chang, "Fast discovery of sequential patterns in large databases using effective time-indexing," Information Sciences: An International Journal, 178/22, PP. 4228~4245, 2008-11. (SCIE,EI)
  14. Ming-Yen Lin, Sue-Chen Hsueh, and Chia-Wen Chang, "Mining Closed Sequential Patterns with Time Constraints," Journal of Information Science and Engineering, 24/1, PP. 33~46, 2008-01. (SCIE,EI)
  15. Ming-Yen Lin and Suh-Yin Lee, "Efficient Mining of Sequential Patterns with Time Constraints by Delimited Pattern-Growth," Knowledge and Information Systems, 7/4, PP. 499~514, 2005-05. (SCIE,EI)
  16. Ming-Yen Lin and Suh-Yin Lee, "Fast Discovery of Sequential Patterns through Memory Indexing and Database Partitioning," Journal of Information Sciences and Engineering, 21/1, PP. 109~128, 2005-01. (SCIE,EI)
  17. Ming-Yen Lin and Suh-Yin Lee, "Interactive Sequence Discovery by Incremental Mining," Information Sciences: An International Journal, 165/3-4, PP. 187~205, 2004-10. (SCIE,EI)
  18. Ming-Yen Lin and Suh-Yin Lee, "Incremental Update on Sequential Patterns in Large Databases by Implicit Merging and Efficient Counting," Information Systems, 29/5, PP. 385~404, 2004-07. (SCIE,EI)
  1. Ming-Yen Lin, Jheng-Sing Chen, Sue-Chen Hsueh*,"ACRec: Adaptive Contrastive Learning for Sequential Recommendation Based on Transformer ," International Conference on Advanced Machine Learning and Data Science, AMLDS, Proceedings of 2025 International Conference on Advanced Machine Learning and Data Science, IEEE, 2025, pp. 187-192 (Best paper award, best presentation award), 2025-07. Tokyo International Exchange Center, Plaza Heisei, Tokyo, Japan .
  2. Ming-Yen Lin, Yu-Ju Lin, and Sue-Chen Hsueh,"Using Spark for Text Mining on Large Scale Liver Cancer Literature ," 2021 3rd International Conference on Big Data Engineering and Technology, pp., 2021-06. online conference .
  3. Ming-Yen Lin, Tzer-Fu Tu, and Sue-Chen Hsueh,"Mining High Utility Itemsets of Generalized Quantity with Pattern-Growth Structures ," 2019 International Conference on Machine Learning and Intelligent Systems, Springer Book Series--Smart Innovation, Systems and Technologies, 2019-11. National Dong Hua University .
  4. Ming-Yen Lin,"Efficient Processing of Skyline Join-Queries, with or without Constraints ," 2019 International Conference for Leading and Young Computer Scientists, pp., 2019-02. Okinawa Gender Equality Center .
  5. Ming-Yen Lin, Pei-Wun Chen, and Sue-Chen Hsueh*,"Probabilistic Mobile-Pattern Mining from Uncertain Trajectories with Time Constraints ," 2018 International Conference on INTERNET STUDIES, pp., 2018-04. SunPort Hall, Takamatsu .
  6. Ming-Yen Lin, Yueh-Lin Lin, and Sue-Chen Hsueh,"Discovering Group Skylines with Constraints by Early Candidate Pruning ," The 13th International Conference on Advanced Data Mining and Applications, pp., 2017-12. NTU Alumni House at Marina Square, Singapore .
  7. Chih-Yu Wang and Ming-Yen Lin*,"Prediction of Accrual Expenses in Balance Sheet Using Decision Trees and Linear Regression ," The 2016 Conference on Technologies and Applications of Artificial Intelligence, pp., 2016-11. National Tsing Hwa University, Taiwan .
  8. Ming-Yen Lin, Tien-Jing Wang, and Sue-Chen Hsueh*,"Improving MapReduce-based Entity-resolution by Data-load Balancing ," The Fifth ASE International Conference on Big Data, pp., 2015-10. Kaohsiung, Taiwan .
  9. Sue-Chen Hsueh, Ming-Yen Lin*, and Yi-Chun Chiu,"A Load Based Map reduce Algorithm for Blocking-based Entity-resolution with Multiple keys ," 12th Australasian Symposium on Parallel and Distributed Computing, pp., 2014-01. Auckland, New Zealand .
  10. Wan-Chao Lee, Tzer-Fu Tu, and Ming-Yen Lin*,"互動式資料串流高頻封閉項目集探勘 ," 2013年第七屆資訊科技國際研討會(AIT2013, pp., 2013-04. 台中市,朝陽科技大學 .
  11. Ming-Yen Lin, Tsung-Che Lee, Sue-Chen Hsueh,"Improving Classification Accuracy of Associative Classifiers by Using K-Conflict-rule Preservation ," ACM 7th International Conference on Ubiquitous Information Management and Communication (ICUIMC'13) (EI), pp., 2013-01. Kota Kinabalu, Malaysia .
  12. Ming-Yen Lin, Pei-Yu Lee and Sue-Chen Hsueh,"Apriori-based Frequent Itemset Mining Algorithms on MapReduce ," ACM 6th International Conference on Ubiquitous Information Management and Communication, (EI), 2012-02. Kuala Lumpur, Maylaysia .
  13. Ming-Yen Lin, Cheng-Tai Fu and Sue-Chen Hsueh,"Incremental Update on Probabilistic Frequent Itemsets in Uncertain Databases ," ACM 6th International Conference on Ubiquitous Information Management and Communication, (EI), 2012-02. Kuala Lumpur, Malaysia .
  14. 董燕文、林明言、許芳榮,"人類基因中外顯子跳躍事件的頻繁內隱子片段與循序樣式探勘 ," 2011 National Computer Symposium, p, 2011-12. 嘉義, Taiwan .
  15. Sue-Chen Hsueh, Ming-Yen Lin, Kuo-Chen Tseng,"Equivalent Range Queries in Reverse Skyline Computations ," European Conference on Data Mining 2011, 111-118, 2011-07. Rome, Italy .
  16. Ming-Yen Lin, Sue-Chen Hsueh, Hung-Jr Yao,"Efficient Mining of Sequential Patterns in Time-Sensitive Data Streams ," European Conference on Data Mining 2011, 127-134, 2011-07. Rome, Italy .
  17. Sue-Chen Hsueh, Jing-Yan Lin, Ming-Yen Lin,"Secure Cloud Storage for Convenient Data Archive of Smart Phones ," 15th IEEE International Symposium on Consumer Electronics, (EI), 2011-06. Singapore .
  18. Ming-Yen Lin, Sue-Chen Hsueh, Chien-Hsiang, Tung,"Interactive Stream Mining of Maximal Frequent Itemsets Allowing Flexible Time Intervals and Support Thresholds ," he Fourth International Conference on Ubiquitous Information Management and Communication (EI), 2010-01. Suwon, Korea .
  19. Ming-Yen Lin, Sue-Chen Hsueh, Ming-Hong Chen, and Hong-Yang Hsu,"Mining Sequential Patterns for Image Classification in Ubiquitous Multimedia Systems ," The Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP 2009) (EI), pp. 303-306, 2009-09. Kyoto, Japan .
  20. Ming-Yen Lin, Sue-Chen Hsueh, Chih-Chin Chan,"Incremental Discovery of Sequential Patterns Using a Backward Mining Approach ," 12th IEEE International Conference on Computational Science and Engineering (EI), pp. 64-70, 2009-08. Vancouver, Canada .
  21. Sue-Chen Hsueh, Shao-Wei Chen,Wei-Sheng Wang, Ming-Yen Lin,"A Secure and Lightweight Mobile Coupon System using QR Code for Mobile Tagging ," International Business and Information, 2009-07. Malaysia .
  22. Sue-Chen Hsueh, Wei Sheng Wang, Shao-Wei Chen, Ming-Yen Lin,"Integrating Mobile Payments with Stored Value Cards: Securing the User Identities and Merchant Authentications ," International Conference on Business and Information, 2009-07. Malaysia .
  23. Sue-Chen Hsueh, Ming-Yen Lin, and Chien-Liang Chen,"Mining Negative Sequential Patterns for E-Commerce Recommendations ," 2008 International Workshop on E-Commerce Services and Applications (ECSA08; EI), Vol. 1, pp. 1213-1218, 2008-12. Yilan .
  24. Ming-Yen Lin, Sue-Chen Hsueh, and Chung-Yi Wang,"Interactive Mining of Frequent Patterns in a Data Stream of Time-Fading Models ," 8th Int'l Conf.Intelligent System Design and Applications (ISDA08; EI), Vol. 1, pp. 513-518, 2008-11. Kaohsiung .
  25. Sue-Chen Hsueh, Ming-Yen Lin ,and Kun-Lin Lu,"Mining Generalized Association Rules for Service Recommendations for Digital Home Applications ," Third International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP07; EI), Vol.1, pp. 631-634, 2007-11. Kaohsiung .
  26. Sue-Chen Hsueh, Ming-Yen Lin, and Hui-Lin Wong,"Mining Fuzzy Sequential Rules of One-Day Trippers for Automatic Tourism Recommendations ," International Conference on Business and Information, 2007-07. Japan .
  27. 薛夙珍, 林明言, 翁慧琳,"高銷售且高獲利率商品關聯法則之模糊資料探勘 ," 2007 第十八屆國際資訊管理學術研討會, 2007-05. 台北 .
  28. Ming-Yen Lin, Sue-Chen Hsueh, and Chia-Wen Chang,"Mining Closed Sequential Patterns with Time Constraints ," International Computer Symposium 2006, Vol. 1, pp.346-351, 2006-12. Taipei, Taiwan .
  29. Sue-Chen Hsueh, Ming-Yen Lin, and Kun-Lin Lu,"Mining Multidimensional Service Patterns with Time Constraints in a Mobile Commerce Environment ," 2006 INFORMS International Conference, pp., 2006-06. Hong Kong .
  30. 薛夙珍、梁嘉鴻、林明言,"一個以匯總資料防護隱私之關聯規則探勘方法 ," 第九屆人工智慧與應用研討會, 2004-11. 台北 .
  31. Ming-Yen Lin and Suh-Yin Lee,"Improving the Efficiency of Interactive Sequential Pattern Mining by Incremental Pattern Discovery ," 36th Hawaii International Conference on System Sciences, 8 pages, 2003-01. Hawaii, USA .
  32. Ming-Yen Lin and Suh-Yin Lee,"Fast Discovery of Sequential Patterns by Memory Indexing ," 4th International Conference on Data Warehousing and Knowledge Discovery, pp. 150-160(LNCS 2454), 2002-09. Aix-en-Provence, France .
  33. Ming-Yen Lin, Suh-Yin Lee, and Sheng-Shun Wang,"DELISP: Efficient Discovery of Generalized Sequential Patterns by Delimited Pattern-Growth Technology ," Pacific-Asia Conference on Knowledge Discovery and Data Mining, 189-209 (LNCS 2336), 2002-05. Taipei, Taiwan .
  34. Ming-Yen Lin and Suh-Yin Lee,"A Fast Lexicographic Algorithm for Association Rule Mining in Web Applications ," ICDCS Workshop on Knowledge Discovery and Data Mining in the World-Wide Web, F7-F14, 2000-05. Taipei, Taiwan .
  35. Ming-Yen Lin and Suh-Yin Lee,"Incremental Update on Sequential Patterns in Large Databases ," 10th IEEE International Conference on Tools with Artificial Intelligence, 24-31, 1998-11. Taipei, Taiwan .
  1. 專業書籍/楊東麟 洪明傳 林明言 張本杰 許政穆等編著/適地性行動應用網路與數位內容製作技術/ 易習圖書/ 中華民國 /2011-11-01/400/ /
  1. 提升使用者理解之個人化可解釋推薦/2025-08~2026-07 /NSTC114-2221-E-035-049- /主持人
  2. 結合虛擬寵物與智慧穿戴之健康管理系統/2025-07~2026-02 /114-2813-C-035-060-E /主持人
  3. 應用NLP於多商品組合之對話式推薦系統/2025-07~2026-02 /114-2813-C-035-063-E /主持人
  4. 高效能可解釋循序推薦系統之研發/2024-08~2025-07 /NSTC113-2221-E-035-062- /主持人
  5. 具解釋能力的真假新聞辨識與事實摘要生成系統/2024-07~2025-02 /113-2813-C-035-035-E /主持人
  6. 可解釋性之呼吸器相關事件(VAE)醫療預測/2022-07~2023-02 /111-2813-C-035-026-E /主持人
  7. 結合靜態特徵與動態行為之推薦與預測系統之研發/2020-08~2021-07 /MOST109-2221-E-035-064- /主持人
  8. 應用於雙人對談之動態氣氛音樂推播系統/2020-07~2021-02 /109-2813-C-035-070-E /主持人
  9. 整合循序樣式之階段感知與序列感知推薦系統之研發/2019-08~2020-07 /MOST108-2221-E-035-067- /主持人
  10. 可行動之高效益循序樣式勘測方法之研發/2018-08~2019-07 /MOST107-2221-E-035-072- /主持人
  11. 整合圖像分析、翻譯與資訊搜尋之自動翻譯系統/2018-07~2019-02 /107CFD0600181 /主持人
  12. 高效率連結天際線查詢技術之研發/2017-08~2018-07 /MOST106-2221-E-035-096- /主持人
  13. 相片電影之協作拼貼系統/2015-07~2016-02 /104-2815-C-035-041-E /主持人
  14. 語音標籤強化之照片群協同編輯系統/2014-07~2015-02 /103-2815-C-035-050-E /主持人
  15. 可變更探勘條件之滑動窗模式資料串流頻繁樣式勘測/2010-08~2011-07 /NSC99-2221-E-035-075- /主持人
  16. 高效能資料串流循序樣式探勘技術之研發/2009-08~2010-07 /NSC98-2221-E-035-069- /主持人
  17. 智慧型手機規劃-以逢甲為例/2009-07~2010-02 /NSC98-2815-C-035-027-E /主持人
  18. 互動式資料串流頻繁樣式探勘技術之研發/2008-08~2009-07 /NSC97-2221-E-035-064- /主持人
  19. 可變動探勘條件之高效能資料串流頻繁樣式探勘/2007-08~2008-07 /NSC96-2221-E-035-093- /主持人
  20. 大型序列型態資料分類與預測技術之研發(2/2)/2006-08~2007-07 /NSC95-2221-E-035-114- /主持人
  21. 大型序列型態資料分類與預測技術之研發(1/2)/2005-08~2006-07 /NSC94-2213-E-035-012- /主持人
  22. 大型資料庫中具時間限制循序樣式之勘測/2004-08~2005-07 /NSC93-2218-E-035-010 /主持人
  1. 財富管理頂級客戶之開發研究 /2017-09~2018-06 /主持人
  2. 105年度扎根高中職資訊科學教育計畫 /2016-08~2017-07 /協同主持人
  3. 高維度陣列的分散式運算 /2014-05~2015-04 /共同主持人
  1. 110/110年度科技部補助大專校院研究獎勵 /產學合作處/ 2021-10-15/
  2. 109/大專學生研究計畫創作獎 /科技部/ 2021-06-29/指導學生林品秀 (應用於雙人對談之動態氣氛音樂推播系統)
  3. 105/2016最佳碩博士論文獎 佳作 /中華民國資訊學會/ 2017-03-06/指導學生林靖琨(碩士論文:具限制條件聚合連結之高效率天際線查詢方法)
  4. 100/第二屆中區資訊專題成果競賽暨觀摩會資訊應用組 第二名 /中華電信基金會/ 2012-05-17/指導學生 吳佩玟 陳鵬宇 楊震麟 獲獎 (iPhone App: (旅遊日記)
  5. 100/2012逢甲大學資訊電機學院畢業專題製作競賽暨觀摩展 佳作 /逢甲大學資訊學院/ 2012-05-04/指導學生 吳佩玟 陳鵬宇 楊震麟 獲獎 (iPhone App: (旅遊日記)
  6. 100/2012跨領域創意網路通訊應用與服務競賽特優獎 /教育部/網通應用服務平台技術教學推動聯盟/ 2012-03-03/與楊東麟老師共同指導學生謝政廷、李培宇、沈之珩、廖威安、蕭國宏
  7. 100/教育部網通計畫補助教材編寫優等獎 /教育部/網通應用服務平台技術教學推動聯盟/ 2012-02-14/教育部100年度網通人才培育先導型計畫補助編寫教材:文化資產數位化創意加值應用,參與老師:楊東麟、郭俊麟、許政穆、洪明傳
  8. 100/教育部網通計畫補助教材編寫佳作獎 /教育部/網通應用服務平台技術教學推動聯盟/ 2012-02-14/教育部100年度網通人才培育先導型計畫補助編寫教材:文化資產數位化創意應用導論,參與老師:楊東麟、郭俊麟、許政穆、洪明傳
  9. 100/2011最佳碩博士論文獎 佳作 /中華民國資訊學會/ 2011-12-06/指導學生李建誠「在有限的記憶體中探勘時間敏感資料串流之頻繁項目」
  10. 98/震旦行專題競賽第三名 /逢甲大學資訊系、震旦行、吳全臨先生獎學金/ 2009-12-26/指導學生廖珮臻、傅承泰、吳佳勳、劉偉敬以「飢不擇食:隨身美食規劃-逢甲商圈為例」獲獎
  11. 97/最佳碩博士論文獎(佳作) /中華民國資訊學會/ 2009-03-13/指導學生劉吉評(碩士論文:互動式資料串流高頻項目集探勘)
  12. 97/震旦行專題競賽佳作獎 /逢甲大學資訊系/ 2009-01-10/指導學生葉皓鈞、李文瀚、林毓生、柯依婷以「FCU圖文搜尋引擎」獲本系獎勵
  13. 97/2008最佳碩博士論文獎 佳作 /中華民國資訊學會/ 2008-12-27/指導學生劉吉評(碩士論文:互動式資料串流高頻項目集探勘)
  14. 96/95年度『資訊科學類論文獎』優等 /中華民國電腦學會/ 2007-12-20/作者:Ming-Yen Lin, Sue-Chen Hsueh, and Chia-Wen Chang
  15. 96/Who's Who in the World /Marquis Who's Who (美國)/ 2007-10-01/列名 25th edition (2008) 及 2009 edition
  16. 96/Top 100 Scientists /International Biographical Center (英國/ 2007-08-31/Listee of the IBC Top 100
  17. 95/Who's Who, Science&Engineering /Marquis Who's Who (美國)/ 2007-07-01/10th anniversary edition (2008-2009)
  18. 95/2007 CIEE大專專題競賽(佳作) /中國電機工程學會中區分會/ 2007-05-19/指導學生林榮章、李兆偉、林宏軒、廖健峰以「條件式關聯規則與序列規則探勘系統」獲獎勵(資訊及通訊組)
  19. 95/震旦行專題競賽佳作獎 /逢甲大學資訊系/ 2006-12-18/指導學生李兆偉、林榮章、林宏軒、廖健峰以「條件式關聯規則與序列規則探勘系統」獲本系獎勵
  20. 95/最佳碩博士論文獎(佳作) /中華民國資訊學會/ 2006-11-15/指導學生張家汶(碩士論文:具時間限制之高效率序列樣式探勘演算法)
  21. 95/Who's Who in Asia /Marquis Who's Who (美國)/ 2006-11-01/1st edition (2007)
  1. 113/逢甲大學論文著作獎勵 /逢甲大學/ 2024-11-15/Using a machine learning approach to predict mortality in critically ill influenza patients: a cross- sectional retrospective multicentre study in Taiwan
  2. 113/逢甲大學論文著作獎勵傑出獎 /逢甲大學/ 2024-11-15/Explainable Machine Learning to Predict Successful Weaning of Mechanical Ventilation in Critically Ill Patients Requiring Hemodialysis
  3. 112/逢甲大學論文著作獎勵 /逢甲大學/ 2023-11-15/Using a machine learning approach to predict mortality in critically ill influenza patients: a cross- sectional retrospective multicentre study in Taiwan
  4. 112/逢甲大學論文著作獎勵傑出獎 /逢甲大學/ 2023-11-15/Interactive Mining of Probabilistic Frequent Patterns in Uncertain Databases
  5. 111/逢甲大學論文著作獎勵傑出獎 /逢甲大學/ 2022-11-15/Explainable Machine Learning to Predict Successful Weaning among Patients Requiring Prolonged Mechanical Ventilation: A Retrospective Cohort Study in Central Taiwan
  6. 110/逢甲大學論文著作獎勵傑出獎 /逢甲大學/ 2021-11-15/Using a machine learning approach to predict mortality in critically ill influenza patients: a cross- sectional retrospective multicentre study in Taiwan
  7. 108/逢甲大學論文著作獎勵優良獎 /逢甲大學/ 2019-11-15/Mining and Maintenance of Sequential Patterns using a Backward Generation Framework
  8. 107/107學年度教學績優獎 /逢甲大學/ 2018-11-15/
  9. 102/逢甲大學優良教材獎勵佳作獎 /逢甲大學/ 2013-11-15/文化資產數位化創意加值應用
  10. 102/逢甲大學優良教材獎勵佳作獎 /逢甲大學/ 2013-11-15/文化資產數位化創意應用導論
  11. 102/逢甲大學論文著作獎勵傑出獎 /逢甲大學/ 2013-11-15/High Utility Pattern Mining using the Maximal Itemset Property and Lexicographic Tree Structures
  12. 101/逢甲大學優良教材獎勵優等獎 /逢甲大學/ 2012-11-15/適地性行動應用網路與數位內容製作技術
  13. 100/100學年度優良導師 /逢甲大學/ 2012-08-15/
  14. 100/2011逢甲大學行動終端應用程式設計競賽 /逢甲大學/ 2011-12-01/指導學生郭哲均獲得實作組第三名
  15. 100/2011逢甲大學行動終端應用程式設計競賽 /逢甲大學/ 2011-12-01/指導學生韋懋綸、施博文、周柏仰獲得創意組佳作
  16. 100/2011逢甲大學行動終端應用程式設計競賽 /逢甲大學/ 2011-12-01/指導學生吳佩玟、陳鵬宇、楊震麟獲得創意組佳作
  17. 98/逢甲大學論文著作獎勵傑出獎 /逢甲大學/ 2009-11-15/Fast discovery of sequential patterns in large databases using effective time-indexing
  18. 98/逢甲大學論文著作獎勵優良獎 /逢甲大學/ 2009-11-15/Mining Closed Sequential Patterns with Time Constraints
  19. 96/逢甲大學論文著作獎勵優良獎 /逢甲大學/ 2007-11-15/Variable Support Mining of Frequent Itemsets over Data Streams Using Synopsis Vectors
  20. 96/逢甲大學論文著作獎勵優良獎 /逢甲大學/ 2007-11-15/Fast Discovery of Time-constrained Sequential Patterns Using Time-Indexes
  21. 95/逢甲大學論文著作獎勵優良獎 /逢甲大學/ 2006-11-15/Efficient Mining of Sequential Patterns with Time Constraints by Delimited Pattern-Growth
  22. 95/逢甲大學論文著作獎勵優良獎 /逢甲大學/ 2006-11-15/Fast Discovery of Sequential Patterns through Memory Indexing and Database Partitioning
  1. Big Data Mining and Explainable Machine Learning/國立台中教育大學資訊工程系/2021-10
  2. Big Data Mining and Explainable Machine Learning/國立聯合大學資管系/2021-05
  3. Mining Equivalent Ranges for Reverse Skyline Queries/高雄大學資訊工程學系/2012-03
  4. Interactive Mining of Frequent Patterns in Data Streams/東華大學資訊工程系/2010-06
  5. Interactive Mining of Frequent Patterns in Data Streams/元智大學電機系/2009-12
  1. Ming-Yen Lin, Tzer-Fu Tu, Sue-Chen Hsueh/Mining High Utility Itemsets of Generalized Quantity with Pattern-Growth Structures/Peng, SL., Favorskaya, M., Chao, HC. (eds) Sensor Networks and Signal Processing. Smart Innovation, Systems and Technologies /Springer /2021-01-01/ Vol. 176, pp. 447–464 (https://doi.org/10.1007/978-981-15-4917-5_33)
  2. Ming-Yen Lin/Time-Constrained Sequential Pattern Mining/Encyclopedia of Data Warehousing and Mining 2nd Edition, Editor: John Wang /Ideal Group Reference /2008-08-01/ 1974-1978 /
  3. Ming-Yen Lin, Sue-Chen Hsueh, and Sheng-Kun Hwang/Interactive Mining of Frequent Itemsets over Arbitrary Time Intervals in a Data Stream/Database Technologies 2008, Fekete, A. and Lin, X., Eds. /Australian Computer Society /2008-01-01/ CPRIT Vol.75,pp. 15-21 /NSC96-2221-E-035-093 (Australasian Database Conference 2008)
  4. Ming-Yen Lin, Sue-Chen Hsueh and Chia-Wen Chang/Fast Discovery of Time-constrained Sequential Patterns Using Time-Indexes/Lecture Notes in Artificial Intelligence /Springer Verlag /2006-08-01/ Vol. 4093, pp. 693-701 /(ADMA 2006), NSC95-2221-E-035-114 (SCI/EI)
  5. Ming-Yen Lin, Sue-Chen Hsueh and Sheng-Kun Hwang/Variable Support Mining of Frequent Itemsets over Data Streams Using Synopsis Vectors/Lecture Notes in Artificial Intelligence /Springer Verlag /2006-04-01/ Vol. 3918, pp. 724-728 /(PAKDD06), NSC94-2213-E-035-012 (SCI/EI)
  1. Automatic detection method for tuning the frequency and phase of display and apparatus using the method/發明 /6,326,961 /2002-08~ 2018-04
  2. 顯示器之頻率及相位自動偵測的方法與裝置/發明 /115539 /2002-08~ 2018-09
  1. 教育部網通應用服務平台技術教學推動聯盟/文化資產數位化創意加值應用/楊東麟、洪明傳、許政穆、林明言、郭俊麟/教具(投影片)
  2. 教育部網通應用服務平台技術教學推動聯盟/文化資產數位化創意應用導論/楊東麟、洪明傳、許政穆、林明言、郭俊麟/教具(投影片)
最後更新時間:2025-9-9, 9:03 a.m. 下次更新時間:2025-9-10, 9 a.m.