Min-Yuh Day

　

Professor

Graduate Institute of Information Management, National Taipei University


Tel: 886-2-86741111 ext. 66873

Office: B8F12 (Office Hours)

Address: 151, University Rd., San Shia District, New Taipei City, 23741 Taiwan

Email: myday@gm.ntpu.edu.tw

Web: http://web.ntpu.edu.tw/~myday/

[ Vita | Education | Research | Publications | Projects | Presentations | Teaching | Professional Activities | Services ] [中文版]

Vita:

Dr. Min-Yuh Day is a Professor in the Graduate Institute of Information Management at National Taipei University, Taiwan. Prior to joining the faculty at NTPU in 2020, he was an Associate Professor in the Department of Information Management at Tamkang University, Taiwan. He was a Postdoctoral Fellow in the Intelligent Agent Systems Lab, Institute of Information Science, Academia Sinica, Taiwan. He received the Ph.D. degree from the Department of Information Management at National Taiwan University, Taiwan. He received his MBA in Management Information System from Tamkang University, Taiwan. His current research interests include artificial intelligence, generative AI, ESG and green financial technology, big data analytics, electronic commerce, information systems evaluation, and biomedical informatics. He has published papers in Information & Management, Decision Support Systems, International Review of Financial Analysis, International Review of Economics and Finance, Financial Innovation, Journal of Investing, Journal of Alternative Investment, Journal of Financial Studies, Applied Economics Letters, Energy Economics, Energy, Soft Computing, International Journal of Information Technology & Decision Making, Journal of Dental Sciences, ACM Transactions on Asian Language Information Processing, Integrated Computer-Aided Engineering, International Transactions on Systems Science and Applications, Physica A: Statistical Mechanics and its Applications, Taiwan Accounting Review, IEEE Access, Energies, and Journal of Computers, and a number of international conference proceedings.

Education:

Honors and Awards:

Experiences:

Research Interests:

Journal Publications:

  1. Min-Yuh Day, Ching-Ying Yang, and Yensen Ni (2024), "Portfolio Dynamic Trading Strategies Using Deep Reinforcement Learning", Soft Computing, Volume 28, August 2024, pp. 8715–8730. [doi]
  2. Yu-Sheng Kao, Min-Yuh Day, and Ke-Hsin Chou (2024), "A comparison of bitcoin futures return and return volatility based on news sentiment contemporaneously or lead-lag", The North American Journal of Economics and Finance, Volume 72, May 2024, 102159, pp. 1-22. [doi]
  3. Wei-Fang Lee, Min-Yuh Day, Chih-Yuan Fang, Vidhya Nataraj, Shih-Cheng Wen, Wei-Jen Chang, and Nai-Chia Teng (2024), "Establishing a novel deep learning model for detecting peri-implantitis", Journal of Dental Sciences, Volume 19, Issue 2, April 2024, pp. 1165-1173. [doi]
  4. Min-Yuh Day and Yensen Ni (2023), "The Profitability of Seasonal Trading Timing: Insights from Energy-Related Markets", Energy Economics, Volume 128, December, 2023, 107132, pp. 1-12. [doi]
  5. Min-Yuh Day and Yensen Ni (2023), "Be greedy when others are fearful: Evidence from a two-decade assessment of the NDX 100 and S&P 500 indexes", International Review of Financial Analysis, Volume 90, November 2023, 102856, pp. 1-13. [doi]
  6. Ke-Hsin Chou, Min-Yuh Day*, and Chien-Liang Chiu (2023), "Do Bitcoin news information flow and return volatility fit the sequential information arrival hypothesis and the mixture of distribution hypothesis?", International Review of Economics and Finance, Volume 88, November 2023, pp. 365-385. [doi]
  7. Min-Yuh Day, Paoyu Huang, Yi-Rung Cheng, and Yensen Ni (2023), "Can Investors Profit from Utilizing Technical Trading Rules during the COVID-19 Pandemic?", International Journal of Information Technology & Decision Making, Volume 22, Issue 6, November 2023, pp. 1893–1921. [doi]
  8. Chien-Liang Chiu, Yensen Ni, Hung-Ching Hu, Min-Yuh Day, and Yuhsin Chen (2023), "Enhancing Crypto Success via Heatmap Visualization of Big Data Analytics for Numerous Variable Moving Average Strategies", Applied Sciences, Volume 13, Issue 23, November 2023, 12805, pp. 1-18. [doi]
  9. Min-Yuh Day Paoyu Huang, Yirung Cheng and Yensen Ni (2023), "Investing Strategies for Trading Stocks as Overreaction Triggered by Technical Trading Rules with Big Data Concerns", Romanian Journal of Economic Forecasting, Volume 26, Issue 3, October 2023, pp. 148-161. [url]
  10. Min-Yuh Day, Yensen Ni, Chinning Hsu, and Paoyu Huang (2023), "Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules", Heliyon, 21 October 2023, e21376. [doi]
  11. Min-Yuh Day and Yensen Ni (2023), "Do clean energy indices outperform using contrarian strategies based on contrarian trading rules?", Energy, Volume 272, 1 June 2023, 127113, pp. 1-21. [doi]
  12. Min-Yuh Day, Yirung Cheng, Paoyu Huang, and Yensen Ni (2023), "The Profitability of Bollinger Bands Trading Bitcoin Futures", Applied Economics Letters, Volume 30, Issue 11, June 2023, pp. 1437-1443. [doi]
  13. Yuhsin Chen, Paoyu Huang, Min-Yuh Day, Yensen Ni, and Mei-Chu Liang (2023), "Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules", PLoS One, Volume 18, Issue 5, 11 May 2023, e0284918, pp. 1-16. [doi]
  14. Min-Yuh Day, Yirung Cheng, Paoyu Huang, and Yensen Ni (2023), "The profitability of trading US stocks in Quarter 4 - evidence from trading signals emitted by SOI and RSI", Applied Economics Letters, Volume 30, Issue 9, May 2023, pp. 1173-1178. [doi]
  15. Yensen Ni, Min-Yuh Day, Yi-Rung Cheng, and Paoyu Huang (2022), "Can Investors Profit by Utilizing Technical Trading Strategies? Evidence from Korean and Chinese Stock Markets", Financial Innovation, Volume 8, 54, June 2022, pp. 1-21. [doi]
  16. Min-Yuh Day, Yensen Ni, Chinning Hsu, and Paoyu Huang (2022), "Do Investment Strategies Matter for Trading Global Clean Energy and Global Energy ETFs?", Energies, Volume 15, Number 9, 3 May 2022, 3328, pp. 1-15. [doi]
  17. Min-Yuh Day, Pao-Yu Huang, Yirung Cheng, Yin-Tzu Lin, and Yensen Ni (2022), "Profitable day trading Bitcoin futures following continuous bullish (bearish) candlesticks", Applied Economics Letters, Volume 29, Issue 10, May 2022, pp. 947-954. [doi]
  18. Chih-Chien Wang, Min-Yuh Day, and Chun-Lian Wu (2022), "Political Hate Speech Detection and Lexicon Building: A Study in Taiwan", IEEE Access, Volume 10, 21 March, 2022, pp. 44337-44346. [doi]
  19. Kuei-Hui Cheng, Min-Yuh Day, and Hsiao-Lun Lin (2021), "The Impact of Revenue Key Audit Matters on the Difference between Self-declared and Audited Revenue", Taiwan Accounting Review, Volume 17, Number 2, December 2021, pp. 309-356. [doi]
  20. Yulu Liao, Min-Yuh Day, Yirung Cheng, Paoyu Huang, and Yensen Ni (2021), "The profitability of Technical Trading for Hotel Stocks Under COVID-19 Pandemic", Journal of Computers, Volume 32, Number 5, October 2021, pp. 44-54. [doi]
  21. Yulu Liao, Min-Yuh Day, Yirung Cheng, Paoyu Huang, and Yensen Ni (2021), "Does CBOE volatility index jumped or located at a higher level matter for evaluating DJ 30, NASDAQ, and S&P500 index subsequent performance", Journal of Computers, Volume 32, Number 4, August 2021, pp. 57-66. [doi]
  22. Yensen Ni, Min-Yuh Day, and Paoyu Huang (2020), "Trading Stocks Following Sharp Movements in the USDX, GBP/USD, and USD/CNY", Financial Innovation, Volume 6, 35, September 2020, pp. 1-17. [doi]
  23. Yensen Ni, Min-Yuh Day, Paoyu Huang, and Shang-Ru Yu (2020), "The profitability of Bollinger Bands: Evidence from the constituent stocks of Taiwan 50", Physica A: Statistical Mechanics and its Applications, Volume 551, 1 August 2020, 124144, pp. 1-14. [doi]
  24. Yensen Ni, Paoyu Huang, Yaochia Ku, Yiching Liao, and Min-Yuh Day (2020), "Investing Strategies as Stochastic Oscillator Indicators Staying in Overreaction Zones for Consecutive Days with Big Data Concerns", Journal of Computers, Volume 31, Number 1, February 2020, pp. 1-17. [doi]
  25. Yensen Ni, Manhwa Wu, Min-Yuh Day, and Paoyu Huang (2020), "Do sharp movements in oil prices matter for stock markets?", Physica A: Statistical Mechanics and its Applications, Volume 539, 1 February 2020, pp. 1-11. [doi]
  26. Min-Yuh Day, Paoyu Huang, and Yensen Ni (2019), "Trading as sharp movements in oil prices and technical trading signals emitted with big data concerns", Physica A: Statistical Mechanics and its Applications, Volume 525, 1 July 2019, pp. 349-372. [doi]
  27. Yensen Ni, Min-Yuh Day, and Paoyu Huang (2019), "Does Data Frequency Matter for Trading Signals Emitted by Various Technical Trading Rules? ", Pacific Business Review International, Volume 11, Issue 10, April 2019, pp. 7-17.
  28. Min-Yuh Day, Manhwa Wu, Paoyu Huang, and Yensen Ni (2018), "Investing Strategies as a Sharp Movement in Exchange Rates Occurred– Evidence for the Constituent Stocks of SSE 50 and TW 50", The Journal of Investing, Volume 27, Issue 4, Winter 2018, pp. 58-68. [doi]
  29. Min-Yuh Day, Paoyu Huang, Yensen Ni, and Yuhsin Chen (2018), "Do Implicit Phenomena Matter? Evidence from China Stock Index Futures", The Journal of Alternative Investments, Volume 21, Issue 1, Summer 2018, pp. 79-91. [doi]
  30. Yensen Ni, Yirung Cheng, Paoyu Huang, and Min-Yuh Day (2018), "Trading strategies in terms of continuous rising (falling) prices or continuous bullish (bearish) candlesticks emitted", Physica A: Statistical Mechanics and its Applications, Volume 501, 1 July 2018, pp. 188-204. [doi]
  31. Min-Yuh Day, Paoyu Huang, Yensen Ni, and Yuhsin Chen (2018), "Do Intraday Large Price Changes Matter for Trading Index Futures? Evidence from China Futures Markets", Journal of Financial Studies, Volume 26, Number 2, June 2018, pp. 139-174. [doi]
  32. Min-Yuh Day, Chorng-Shyong Ong, and Wen-Lian Hsu (2010), "An Analysis of Research on Information Reuse and Integration (2003-2008)", International Transactions on Systems Science and Applications, Volume 6, Number 2/3,  August 2010, pp. 146-157.  
  33. Chorng-Shyong Ong, Min-Yuh Day and Wen-Lian Hsu (2009), "The measurement of user satisfaction with question answering systems", Information & Management, Volume 46, Issue 7, October 2009, pp. 397-403. [doi]
  34. Ryan T. K. Lin, Justin Liang-Te Chiu, Hong-Jie Dai, Richard Tzong-Han Tsai, Min-Yuh Day, Wen-Lian Hsu (2009), "A Supervised Learning Approach to Biological Question Answering", Integrated Computer-Aided Engineering, Volume 16, Issue 3, August 2009, pp. 271-281. [doi]
  35. Cheng-Wei Lee, Min-Yuh Day, Cheng-Lung Sung, Yi-Hsun Lee, Tian-Jian Jiang, Chia-Wei Wu, Cheng-Wei Shih, Yu-Ren Chen, Wen-Lian Hsu (2008) ,"Boosting Chinese Question Answering with Two Lightweight Methods: ABSPs and SCO-QAT", ACM Transactions on Asian Language Information Processing, Volume 7 , Issue 4, November 2008, pp. 12:1-12:29. [doi]
  36. Min-Yuh Day, Richard Tzong-Han Tsai, Cheng-Lung Sung, Chiu-Chen Hsieh, Cheng-Wei Lee, Shih-Hung Wu, Kun-Pin Wu, Chorng-Shyong Ong, Wen-Lian Hsu (2007), "Reference Metadata Extraction Using a Hierarchical Knowledge Representation Framework", Decision Support Systems, Volume 43, Issue 1, February 2007, pp. 152-167. [doi]

Conference Publications:

  1. Jun-Yu Wu, Vidhya Nataraj, and Min-Yuh Day (2024), "Generative AI in ESG Reporting: A Systematic Review", The 15th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2024), in Proceedings of the 2024 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2024), Calabria, Italy, September 2-5, 2024.
  2. Vidhya Nataraj, Wen-Hsuan Liao, Yue-Shan Chang, Chen-Yu Chiang, Chao-Yin Lin, Yu-An Lin, and Min-Yuh Day (2024), "Generative AI in Multimodal Cross-Lingual Dialogue System for Inclusive Communication Support", The 13th IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt (IEEE EM-RITE 2024), in Proceedings of the 25th IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2024), San Jose, CA, USA, August 7-9, 2024.
  3. Yu-Han Kao, Vidhya Nataraj, Hsiao-Chuan Liu, Wen- Hsuan Liao, Chia-Tung Tsai, and Min-Yuh Day (2024), "Enhancing Multilingual ESG Impact Duration Classification with Transformer Language Models and Data Augmentation Strategies", The 35th International Conference on Information Management (ICIM 2024), Taipei, Taiwan, June 23, 2024.
  4. Yu Han Kao, Vidhya Nataraj, Ting-Chi Wang, Yu-Jyun Zheng, Hsiao-Chuan Liu, Wen-Hsuan Liao, Chia-Tung Tsai, and Min-Yuh Day (2024), "IMNTPU at ML-ESG-3: Transformer Language Models for Multi-Lingual ESG Impact Type and Duration Classification", Joint Workshop of the 7th Financial Technology and Natural Language Processing (FinNLP), the 5th Knowledge Discovery from Unstructured Data in Financial Services (KDF), and The 4th Workshop on Economics and Natural Language Processing (ECONLP), in Proceedings of The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italia, May 20-25, 2024.
  5. Chung-Chi Chen, Yu-Min Tseng, Juyeon Kang, Anaïs Lhuissier, Yohei Seki, Hanwool Lee, Min-Yuh Day, Teng-Tsai Tu, and Hsin-Hsi Chen (2024), "Multi-Lingual ESG Impact Duration Inference", Joint Workshop of the 7th Financial Technology and Natural Language Processing (FinNLP), the 5th Knowledge Discovery from Unstructured Data in Financial Services (KDF), and The 4th Workshop on Economics and Natural Language Processing (ECONLP), in Proceedings of The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italia, May 20-25, 2024.
  6. Chia-Tung Tsai, Wen-Hsuan Liao, Hsiao-Chuan Liu, Vidhya Nataraj, Tzu-Yu Liu, Mike Tian-Jian Jiang, and Min-Yuh Day (2023), "IMNTPU at the NTCIR-17 FinArg-1: Financial Argument-Based Sentiment Analysis and Argumentative Relations Identification in Social Media", in Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-17), Tokyo, Japan, December 12-15, 2023.
  7. Hsiao-Chuan Liu, Vidhya Nataraj, Chia-Tung Tsai, Wen-Hsuan Liao, Tzu-Yu Liu, Mike Tian-Jian Jiang, and Min-Yuh Day (2023), "IMNTPU at the NTCIR-17 Real-MedNLP Task: Multi-Model Approach to Adverse Drug Event Detection from Social Media", in Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-17), Tokyo, Japan, December 12-15, 2023.
  8. Hsiao-Chuan Liu and Min-Yuh Day (2023), "Comparative Analysis of Pre-trained and Large Language Models in Adverse Drug Event Detection from Twitter Content", The 28th International Conference on Information Management and Practice (IMP2023), Taipei, Taiwan, December 9, 2023.
  9. Hsiao-Chuan Liu, Chia-Tung Tsai, and Min-Yuh Day (2023), "A Pilot Study on AI-Assisted Code Generation with Large Language Models for Software Engineering", The 28th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2023), Yulin, Taiwan, December 1-2, 2023. [Poster]
  10. Min-Yuh Day and Chia-Tung Tsai, "CMSI: Carbon Market Sentiment Index with AI Text Analytics", The 14th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2023), in Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2023), Kusadasi, Turkey, November 6-9, 2023.
  11. Wen-Hsuan Liao and Min-Yuh Day (2023), "CAITOD: Commerce AI Multimodal Cross-Language Task-Oriented Dialogue System", TANET 2023, Taipei, Taiwan, November 1-3, 2023.
  12. Chia-Tung Tsai and Min-Yuh Day (2023), "A Large Language Model Approach to Financial Argument-Based Sentiment Analysis in Research Reports and Earnings Conference Calls", NCS 2023, Taipei, Taiwan, November 1-3, 2023.
  13. Hsiao-Chuan Liu and Min-Yuh Day (2023), "Multi-label Text Classification with Adervse Drug Event by Using Pre-trained Language Models and Large Language Models", NCS 2023, Taipei, Taiwan, November 1-3, 2023. [Poster]
  14. Chung-Chi Chen, Yu-Min Tseng, Juyeon Kang, Anaïs Lhuissier, Min-Yuh Day, Teng-Tsai Tu, and Hsin-Hsi Chen (2023), "Multi-Lingual ESG Issue Identification", TIn Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting (FinNLP'23), Macao, China, August 20, 2023, pp. 111-115.
  15. Hsiao-Chuan Liu, Min-Yuh Day, and Chih-Chien Wang (2023), "Speech‐to‐speech Low‐resource Translation", The 12th IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt (IEEE EM-RITE 2023), in Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2023), Bellevue, WA, USA, August 4-6, 2023.
  16. Yung-Wei Teng, Min-Yuh Day, and Pei-Tz Chiu (2022), "Text Mining with Information Extraction for Chinese Financial Knowledge Graph", The 13th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2022), in Proceedings of the 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2022), Istanbul, Turkey & Virtual (Hybrid), November 10-13, 2022.
  17. Min-Yuh Day, Pei-Tz Chiu, Yung-Wei Teng, and Chao-Lin Liu (2022), "Developing Relation Types of Cryptocurrency Anti-Money Laundering Knowledge Graph", The 11th IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt (IEEE EM-RITE 2022), in Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2022), Taking Place Virtually, August 9-11, 2022.
  18. Yung-Wei Teng, Pei-Tz Chiu, Ting-Yun Hsiao, Mike Tian-Jian Jiang, and Min-Yuh Day (2022), "IMNTPU at the NTCIR-16 FinNum-3 Task: Data augmentation for financial Numclaim classification", in Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-16), Tokyo Japan, June 14-17, 2022.
  19. Ting-Yun Hsiao, Yung-Wei Teng, Pei-Tz Chiu, Mike Tian-Jian Jiang, and Min-Yuh Day (2022), "IMNTPU Dialogue System Evaluation at the NTCIR-16 DialEval-2 Dialogue Quality and Nugget Detection", in Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-16), Tokyo Japan, June 14-17, 2022.
  20. Min-Yuh Day (2021), "Artificial Intelligence for Knowledge Graphs of Cryptocurrency Anti-money Laundering in Fintech", The 12th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2021), in Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2021), Virtual Event, Netherlands, November 8-11, 2021.
  21. Min-Yuh Day and Sheng-Ru Shaw (2021), "AI Customer Service System with Pre-trained Language and Response Ranking Models for University Admissions", The 10th IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt (IEEE EM-RITE 2021), in Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2021), Taking Place Virtually, August 10-12, 2021.
  22. Yi-Te Chiu, Min-Yuh Day, Anton Raymond, Shih-Hsiang Dai, Mohammad Saud Khan, Tsai Chun, Houn-Gee Chen, and Chun-Hao Wang (2020), "Exploring impacts of project leaders’ written expressions in virtual and fluid projects: The role of personality and emotion", in Proceedings of the International Research Workshop on IT Project Management 2020 (IRWITPM 2020), Virtual, December 12, 2020.
  23. Mike Tian-Jian Jiang, Shih-Hung Wu, Yi-Kun Chen, Zhao-Xian Gu, Cheng-Jhe Chiang, Yueh-Chia Wu, Yu-Chen Huang, Cheng-Han Chiu, Sheng-Ru Shaw, and Min-Yuh Day (2020), "Fine-tuning technique and data augmentation on transformer-based models for conversational texts and noisy user-generational content", The 11th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2020), in Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2020), Virtual, December 7-10, 2020.
  24. Mike Tian-Jian Jiang, Zhao-Xian Gu, Cheng-Jhe Chiang, Yueh-Chia Wu, Yu-Chen Huang, Cheng-Han Chiu, Sheng-Ru Shaw, and Min-Yuh Day (2020), "IMTKU Multi-Turn Dialogue System Evaluation at the NTCIR-15 DialEval-1 Dialogue Quality and Nugget Detection", in Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-15), Tokyo Japan, December 8-11, 2020, pp. 68-74.
  25. Min-Yuh Day and Yu-Ling Kuo (2020), "A Study of Deep Learning for Factoid Question Answering System", The 9th IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt (IEEE EM-RITE 2020), in Proceedings of the 21st IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2020), Taking Place Virtually, August 11-13, 2020.
  26. Min-Yuh Day and Jian-Ting Lin (2019), "Artificial Intelligence for ETF Market Prediction and Portfolio Optimization", The 10th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2019), in Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2019), Vancouver, Canada, August 27-30, 2019.
  27. Min-Yuh Day and Chi-Sheng Hung (2019), "AI Affective Conversational Robot with Hybrid Generative-based and Retrieval-based Dialogue Models", The 8th IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt (IEEE EM-RITE 2019), in Proceedings of the 20th IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2019), Los Angeles, CA, USA, July 30 - August 1, 2019.
  28. Min-Yuh Day, Chi-Sheng Hung, Yi-Jun Xie, Jhih-Yi Chen, Yu-Ling Kuo and Jian-Ting Lin (2019), "IMTKU Emotional Dialogue System for Short Text Conversation at NTCIR-14 STC-3 (CECG) Task", The 14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14), Tokyo, Japan, June 10-13, 2019. [Paper] [Poster] [Slide]
  29. Chih-Chien Wang, Min-Yuh Day, Wei-Jin Gao, Yen-Cheng Chiu and Chun-Lian Wu (2019), "AI-NTPU Emotional Chatting Machine at the NTCIR-14 STC-3 CECG Task", The 14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14), Tokyo, Japan, June 10-13, 2019.
  30. Min-Yuh Day,Tun-Kung Cheng and Jheng-Gang Li (2018), "AI Robo-Advisor with Big Data Analytics for Financial Services", The 9th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2018), Barcelona, Spain, August 28-31, 2018, in Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018.
  31. Min-Yuh Day, Jian-Ting Lin and Yuan-Chih Chen (2018), "Artificial Intelligence for Conversational Robo-Advisor", The 9th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2018), Barcelona, Spain, August 28-31, 2018, in Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018), Barcelona, Spain, August 28-31, 2018.
  32. Min-Yuh Day and Chao-Yu Chen (2018), "Artificial Intelligence for Automatic Text Summarization", The 7th IEEE International Workshop on Empirical Methods for Recognizing Inference in Text (IEEE EM-RITE 2018), July 7-9, 2018, in Proceedings of the 2018 IEEE 18th International Conference on Information Reuse and Integration (IEEE IRI 2018), Salt Lake City, Utah, USA, July 7-9, 2018.
  33. Chih-Chien Wang, Min-Yuh Day, Chien-Chang Chen, Jia-Wei Liou (2018), "Detecting Spamming Reviews Using Long Short-term Memory Recurrent Neural Network Framework", 2018 2nd International Conference on E-commerce, E-Business and E-Government (ICEEG 2018), Hong Kong, China, June 13-15, 2018.
  34. Min-Yuh Day, Tun-Kung Cheng and Jheng-Gang Li (2018), "Artificial Intelligence for Time Series Forecasting in Financial Markets", International Conference on INTERNET STUDIES (NETs 2018), Takamatsu, Japan, April 2-4, 2018.
  35. Min-Yuh Day, Chao-Yu Chen, Wan-Chu Huang, I-Hsuan Huang and Shi-Ya Zheng, Tz-Rung Chen, Min-Chun Kuo, Yue-Da Lin, and Yi-Jing Lin (2017), "IMTKU Question Answering System for World History Exams at NTCIR-13 QA Lab-3", The 13th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-13), Tokyo, Japan, December 5-8, 2017. [Paper] [Poster] [Slide]
  36. Min-Yuh Day and Yue-Da Lin (2017), "Deep Learning for Sentiment Analysis on Google Play Consumer Review", The 6th IEEE International Workshop on Empirical Methods for Recognizing Inference in Text (IEEE EM-RITE 2017), August 4-6, 2017, in Proceedings of the 2017 IEEE 18th International Conference on Information Reuse and Integration (IEEE IRI 2017), San Diego, CA, USA, August 4-6, 2017.
  37. Min-Yuh Day and Hung-Chou Teng (2017), "A Study of Deep Learning to Sentiment Analysis on Word of Mouth of Smart Bracelet", The 8th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2017), Sydney, Australia, July 31-August 3, 2017, in Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2017), Sydney, Australia, July 31-August 3, 2017.
  38. Chih-Chien Wang, Min-Yuh Day, Chien-Chang Chen and Jai-Wei Liou (2016), "Temporal and Sentimental Analysis of A Real Case of Fake Reviews in Taiwan", The 8th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2017),Sydney, Australia, July 31-August 3, 2017, in Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2017), Sydney, Australia, July 31-August 3, 2017.
  39. Min-Yuh Day and Chia-Chou Lee (2016), "Deep Learning for Financial Sentiment Analysis on Finance News Providers", The 7th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2016), San Francisco, California, USA, Aug 18-21, 2016, in Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016), San Francisco, California, USA, Aug 18-21, 2016.
  40. Min-Yuh Day and Wei-Chun Chuang (2016), "The Effect of Customer Perceived Value on Relationship Quality Between Illustrator and Fans to Recommendation on Facebook", The 7th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2016), San Francisco, California, USA, Aug 18-21, 2016, in Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016), San Francisco, California, USA, Aug 18-21, 2016.
  41. Chih-Chien Wang, Min-Yuh Day and Yu-Ruei Lin (2016), "Toward Understanding the Cliques of Opinion Spammers with Social Network Analysis", The 7th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2016), San Francisco, California, USA, Aug 18-21, 2016, in Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016), San Francisco, California, USA, Aug 18-21, 2016.
  42. Ching-Yuan Chien, Chia-Hsin Hung, Min-Yuh Day, Yuh-Tay Lin, Chu-Yin Yang (2016), "Developing Four Stars Election Open Data in RDF: Evidence from Taiwan Election Open Data Project", International Workshop on Open Data and Applications (IWODA 2016), New Jersey, USA, August 15-17, 2016, in Proceedings of the 3rd Multidisciplinary International Social Networks Conference on SocialInformatics 2016, Data Science 2016 (MISNC, SI, DS 2016), New Jersey, USA, August 15-17, 2016.
  43. Min-Yuh Day and Cheng-Chia Tsai (2016), "A Study on Machine Learning for Imbalanced Datasets with Answer Validation of Question Answering", The 5th IEEE International Workshop on Empirical Methods for Recognizing Inference in Text (IEEE EM-RITE 2016), July 28-30, 2016, in Proceedings of the 2016 IEEE 17th International Conference on Information Reuse and Integration (IEEE IRI 2016), Pittsburgh, Pennsylvania, USA, July 28-30, 2016.
  44. Chih-Chien Wang, Min-Yuh Day and Yu-Ruei Lin (2016), "A Real Case Analytics on Social Network of Opinion Spammers", The 5th IEEE International Workshop on Empirical Methods for Recognizing Inference in Text (IEEE EM-RITE 2016), July 28-30, 2016, in Proceedings of the 2016 IEEE 17th International Conference on Information Reuse and Integration (IEEE IRI 2016), Pittsburgh, Pennsylvania, USA, July 28-30, 2016.
  45. Min-Yuh Day, Cheng-Chia Tsai, Wei-Chun Chuang, Jin-Kun Lin, Hsiu-Yuan Chang, Tzu-Jui Sun, Yuan-Jie Tsai, Yi-Heng Chiang, Cheng-Zhi Han, Wei-Ming Chen, Yun-Da Tsai, Yi-Jing Lin, Yue-Da Lin, Yu-Ming Guo, Ching-Yuan Chien, and Cheng-Hung Lee (2016), "IMTKU Question Answering System for World History Exams at NTCIR-12 QA Lab2", The 12th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-12), Tokyo, Japan, June 7-10, 2016, pp.425-431. [Paper] [Poster] [Slide] [Demo System]
  46. Min-Yuh Day, Paoyu Huang, Yensen Ni, Yuhsin Chen (2016), "Do Intraday Jump Phenomena Matter for Trading Index Futures? Evidence from China Futures Markets", 2016 International Conference of Taiwan Finance Association (ICTFA 2016), New Taipei City, Taiwan, May 27-28, 2016.
  47. Min-Yuh Day and Cheng-Chia Tsai (2015), "Machine Learning for Imbalanced Datasets of Recognizing Inference in Text with Linguistic Phenomena", 2015 4th IEEE International Workshop on Empirical Methods for Recognizing Inference in Text (IEEE EM-RITE 2015), August 13-15, 2015, in Proceedings of the 2015 IEEE 16th International Conference on Information Reuse and Integration (IEEE IRI 2015), San Francisco, California, USA, August 13-15, 2015, pp. 562-568.
  48. Min-Yuh Day, Ya-Jung Wang, Che-Wei Hsu, En-Chun Tu, Shang-Yu Wu, Huai-Wen Hsu, Yu-An Lin, Yu-Hsuan Tai and Cheng-Chia Tsai (2014), "IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-11 RITE-VAL", in Proceedings of the 11th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-11), Tokyo, Japan, December 9-12, 2014, pp. 337-343.  [Paper] [Poster] [Slide] [Demo System]
  49. Min-Yuh Day and Ya-Jung Wang (2014), "Analysis of Identifying Linguistic Phenomena for Recognizing Inference in Text", 2014 IEEE International Workshop on Empirical Methods for Recognizing Inference in Text (IEEE EM-RITE 2014), August 13-15, 2014, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2014), San Francisco, California, USA, August 13-15, 2014, pp. 607-612.
  50. Chun Tu and Min-Yuh Day (2013), "Chinese Textual Entailment with Wordnet Semantic and Dependency Syntactic Analysis", 2013 IEEE International Workshop on Empirical Methods for Recognizing Inference in Text (IEEE EM-RITE 2013), August 14, 2013, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2013), San Francisco, California, USA, August 14-16, 2013, pp. 69-74.
  51. Shih-Chen Huang and Min-Yuh Day (2013), "A Comparative Study of Data Mining Techniques for Credit Scoring in Banking", in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2013), San Francisco, California, USA, August 14-16, 2013, pp. 684-691.
  52. Min-Yuh Day, Chun Tu, Shih-Jhen Huang, Hou-Cheng Vong, Shih-Wei Wu (2013), "IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE2," in Proceedings of the 10th NTCIR Workshop Meeting on Evaluation of Information Access Technologies (NTCIR-10), Tokyo, Japan, June 18-21, 2013. [Paper] [Poster] [Slide] [Demo System]
  53. Chun Tu, Min-Yuh Day (2012), "A Statistical Approach with Syntactic and Semantic Features for Chinese Textual Entailment", IEEE International Workshop on Empirical Methods for Recognizing Inference in Text, August 8, 2012, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2012),  Las Vegas, Nevada, USA, August 8-10, 2012, pp. 59-64.
  54. Min-Yuh Day, Re-Yuan Lee, Cheng-Tai Liu, Chun Tu, Chin-Sheng Tseng, Loong Tern Yap, Allen-Green C.L. Huang, Yu-Hsuan Chiu and Wei-Ze Hong (2011), "IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-9 RITE," in Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies (NTCIR-9), Tokyo, Japan, December 6-9, 2011, pp. 339-344. [Paper] [Poster] [Slide] [Demo System]
  55. Min-Yuh Day, Sheng-Pao Shih, Weide Chang (2011), "Social Network Analysis of Research Collaboration in Information Reuse and Integration," The First International Workshop on Issues and Challenges in Social Computing (WICSOC 2011), August 2, 2011, in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2011),  Las Vegas, Nevada, USA, August 3-5, 2011, pp. 551-556.
  56. Cheng-Wei Lee, Min-Yuh Day, Wen-Lian Hsu (2010), "An Empirical Comparative Study of Manual Rule-Based and Statistical Question Classifiers on Heterogeneous Unseen Data", in Proceedings of the sixth Asia Information Retrieval Societies Conference (AIRS 2010), Taipei, Taiwan, December 1-3, 2010, Lecture Notes in Computer Science (LNCS), Vol. 6458, pp. 343-354. 
  57. Chorng-Shyong Ong and Min-Yuh Day (2010), "An Integrated Evaluation Model of User Satisfaction with Social Media Services," in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2010), Las Vegas, Nevada, USA, August 4-6, 2010, pp. 195-200.
  58. Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu (2009), "An Analysis of Research on Information Reuse and Integration", in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2009), Las Vegas, Nevada, USA, August 10-12, 2009, pp. 188-193.
  59. Chorng-Shyong Ong, Min-Yuh Day, Wen-Lian Hsu (2008), "Development of an Evaluation Model for Question Answering Systems", in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2008), Las Vegas, Nevada, USA, July, 13-15, 2008, pp. 178-183.
  60. Ryan T.K. Lin, Justin Liang-Te Chiu, Hong-Jei Dai, Min-Yuh Day, Richard Tzong-Han Tsai, Wen-Lian Hsu (2008), "Biological Question Answering with Syntactic and Semantic Feature Matching and an Improved Mean Reciprocal Ranking Measurement", in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2008), Las Vegas, Nevada, USA, July, 13-15, 2008, pp. 184-189.
  61. Ryan T.K. Lin, Hong-Jei Dai, Yue-Yang Bow, Min-Yuh Day, Richard Tzong-Han Tsai, Wen-Lian Hsu (2008), "Result Identification for Biomedical Abstracts Using Conditional Random Fields", in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2008), Las Vegas, Nevada, USA, July, 13-15, 2008, pp. 122-126.
  62. Chorng-Shyong Ong, Min-Yuh Day, Kuo-Tay Chen, Wen-Lian Hsu (2008), "User-Centered Evaluation of Question Answering Systems", in Proceedings of the IEEE International Conference on Intelligence and Security Informatics (IEEE ISI 2008), Taipei, Taiwan, June 17-20, 2008, pp. 286-287. (Poster)
  63. Cheng-Lung Sung, Min-Yuh Day, Hsu-Chun Yen , Wen-Lian Hsu (2008), "A Template Alignment Algorithm for Question Classification", in Proceedings of the IEEE International Conference on Intelligence and Security Informatics (IEEE ISI 2008), Taipei, Taiwan, June 17-20, 2008, pp. 197-199.
  64. Chun-Hung Lu, Chih-Chien Wang, Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu, "Using “Cited by” Information to Find the Context of Research Papers", in Proceedings of the First International Workshop on Social Computing (SOCO 2008), Taipei, Taiwan, June 17, 2008, Lecture Notes in Computer Science (LNCS), Vol. 5075, pp. 343-354.
  65. Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu (2007), "Question Classification in English-Chinese Cross-Language Question Answering: An Integrated Genetic Algorithm and Machine Learning Approach", in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2007), Las Vegas, Nevada, USA, August, 13-15, 2007, pp. 203-208.
  66. Richard Tzong-Han Tsai, Hong-Jei Dai, Hsi-Chuan Hung, Ryan T.K. Lin, Wen-Chi Chou, Ying-Shan Su, Min-Yuh Day, Wen-Lian Hsu (2007) ,"BESearch: A Supervised Learning Approach to Search for Molecular Event Participants", in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2007), Las Vegas, Nevada, USA, August, 13-15, 2007, pp. 412-417.
  67. Cheng-Wei Lee, Min-Yuh Day, Cheng-Lung Sung, Yi-Hsun Lee, Tian-Jian Jiang, Chia-Wei Wu, Cheng-Wei Shih, Yu-Ren Chen, Wen-Lian Hsu (2007), "Chinese-Chinese and English-Chinese Question Answering with ASQA at NTCIR-6 CLQA", in Proceedings of NTCIR-6 Workshop Meeting, Tokyo, Japan, May 15-18, 2007,  pp. 175-181.
  68. Min-Yuh Day, Chun-Hung Lu, Chorng-Shyong Ong, Shih-Hung Wu, Wen-Lian Hsu (2006) , "Integrating Genetic Algorithms with Conditional Random Fields to Enhance Question Informer Prediction", in  Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2006), Waikoloa, Hawaii, USA, Sep 16-18, 2006, pp. 414-419.
  69. Richard Tzong-Han Tsai, Hong-Jie Dai, Hsieh-Chuan Hung, Cheng-Lung Sung, Min-Yuh Day, and Wen-Lian Hsu (2006), "Chinese Word Segmentation with Minimal Linguistic Knowledge: An Improved Conditional Random Fields Coupled with Character Clustering and Automatically Discovered Template Matching", in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2006), Waikoloa, Hawaii, USA, Sep 16-18, 2006, pp. 274-279.
  70. Sheng-Cheng Hsu, Min-Yuh Day, Shih-Hung Wu, Wing-Kwong Wong, Wen-Lian Hsu (2006), “Designing a Tutoring Agent for Facilitating Collaborative Learning with Instant Messaging”, in Proceedings of the 8th International Conference on Intelligent Tutoring Systems (ITS 2006), Jhongli, Taiwan, June 26-30, 2006, Lecture Notes in Computer Science (LNCS), Vol. 4053, pp. 689-691. (Poster)
  71. Chun-Hung Lu, Guey-Fa Chiou, Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu (2006), “Using Instant Messaging to Provide an Intelligent Learning Environment”, in Proceedings of the 8th International Conference on Intelligent Tutoring Systems (ITS 2006), Jhongli, Taiwan, June 26-30, 2006, Lecture Notes in Computer Science (LNCS), Vol. 4053, pp. 575-583.
  72. Cheng-Wei Lee, Cheng-Wei Shih, Min-Yuh Day, Tzong-Han Tsai, Tian-Jian Jiang, Chia-Wei Wu, Cheng-Lung Sung, Yu-Ren Chen, Shih-Hung Wu and Wen-Lian Hsu (2005), "ASQA: Academia Sinica Question Answering System for NTCIR-5 CLQA," in Proceedings of NTCIR-5 Workshop Meeting, Tokyo, Japan, December 6-9, 2005, pp. 202-208.
  73. Cheng-Wei Lee, Cheng-Wei Shih, Min-Yuh Day, Tzong-Han Tsai, Tian-Jian Jiang, Chia-Wei Wu, Cheng-Lung Sung, Yu-Ren Chen, Shih-Hung Wu, and Wen-Lian Hsu (2005), "Perspectives on Chinese Question Answering Systems," in Proceedings of the Workshop on the Sciences of the Artificial (WSA 2005), Hualien, Taiwan, December 7-8, 2005, pp. 113-128.
  74. Min-Yuh Day, Cheng-Wei Lee, Shih-Hung Wu, Chorng-Shyong Ong, Wen-Lian Hsu (2005), "An Integrated Knowledge-based and Machine Learning Approach for Chinese Question Classification", in Proceedings of the IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2005), Wuhan, China, October 30 - November 1, 2005, pp. 620-625.
  75. Min-Yuh Day, Tzong-Han Tsai, Cheng-Lung Sung, Cheng-Wei Lee, Shih-Hung Wu, Chorng-Shyong Ong, Wen-Lian Hsu (2005), “A Knowledge-based Approach to Citation Extraction,” in Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2005), Las Vegas, Nevada, USA, August 15-17, 2005, pp. 50-55.
  76. Min-Yuh Day, Chun-Hung Lu, Jin-Tan David Yang, Guey-Fa Chiou, Chorng-Shyong Ong, Wen-Lian Hsu (2005), "Designing an Ontology-based Intelligent Tutoring Agent with Instant Messaging," in Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT 2005), Kaohsiung, Taiwan, July 5-8, 2005, pp. 318-320.
  77. Shih-Hung Wu, Min-Yuh Day, Tzong-Han Tsai and Wen-Lian Hsu. (2002) “FAQ-centered Organizational Memory,” in Nada Matta and Rose Dieng-Kuntz (ed.), Knowledge Management and Organizational Memories, Kluwer Academic Publishers, Boston, pp.103-112, 2002.
  78. Shih-Hung Wu, Min-Yuh Day and Wen-Lian Hsu (2001), “FAQ-centered Organizational Memory,” in Proceeding of the Knowledge Management and Organizational Memory workshop on the Seventeenth International Joint Conference on Artificial Intelligence (IJCAI-01), Seattle, Washington, USA, August 4-10, 2001, pp. 112-120.

Books, Edited Proceedings, and Book Chapters:

  1. Mehmet Kaya, Jalal Kawash, Suheil Khoury, Min-Yuh Day, Social Network Based Big Data Analysis and Applications, Lecture Notes in Social Networks, Springer International Publishing, 2018.
  2. Chao-Lin Liu, Mitsunori Matsushita, Yasufumi Takama, Min-Yuh Day, Vincent Shin-Mu Tseng, Intelligent interaction, reasoning, and applications, Web Intelligence, 13(2), 2015, pp. 91-92.
  3. Shin-Ming Cheng, Min-Yuh Day, Technologies and Applications of Artificial Intelligence, 19th International Conference, TAAI 2014, Taipei, Taiwan, November 21-23, 2014. Proceedings, Lecture Notes in Computer Science 8916, Springer, 2014.
  4. Lotfi Zadeh, Stuart Rubin, Shu-Ching Chen, Reda Alhajj, James Joshi, Mei-Ling Shyu, Barbara Carminati, Surya Nepal,  Marion Ceruti, James J. Marshall, Tanvir Ahmed, Gordon K. Lee, Tao Li, Du Zhang, Taghi M. Khoshgoftaar, Eric Gregoire, Hui Xiong, Chengcui Zhang, Louellen McCoy, Nan Niu, Suresh Vadhva, Min-Yuh Day, Seung-Yun Kim, Ju-Yeon Jo, Wen-Lian Hsu, Xingquan (Hill) Zhu, Thouraya Bouabana-Tebibel, June R. Massoud, Nathalie Baracaldo, Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2011), IEEE Press, 2011.
  5. Lotfi Zadeh, Stuart Rubin, Shu-Ching Chen, Reda Alhajj, James B. D. Joshi, Mei-Ling Shyu, Du Zhang, Taghi M. Khoshgoftaar, Eric Grégoire, Chengcui Zhang, Louellen McCoy, Althea Liang Qianhui, Min-Yuh Day, Li Tan, Suresh Vadhva, Ju-Yeon Jo, Seung-Yun Kim, June R. Massoud, Wen-Lian Hsu, Xingquan (Hill) Zhu, Thouraya Bouabana-Tebibel, Hassan Takabi, Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2010), IEEE Press, 2010.
  6. Christopher C. Yang, Daniel Zeng, Ke Wang, Antonio Sanfilippo, Herbert H. Tsang, Min-Yuh Day, Uwe Glasser, Patricia L. Brantingham, Hsinchun Chen, Proceedings of IEEE International Conference on Intelligence and Security Informatics (IEEE ISI 2010), IEEE Press, 2010.
  7. Lotfi Zadeh, Stuart Rubin, Shu-Ching Chen, Qianhui Liang, Du Zhang, Taghi M. Khoshgoftaar, Eric Grégoire, Chengcui Zhang, James B. D. Joshi, Li Tan, Min-Yuh Day, Seung-Yun Kim, Suresh Vadhva, June R. Massoud, Wen-Lian Hsu, Louellen McCoy, Ju-Yeon Jo, Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2009), IEEE Press, 2009.
  8. Daniel Zeng, Latifur Khan, Lina Zhou, Min-Yuh Day, Chris Yang, Bhavani Thuraisingham, Hsinchun Chen, Proceedings of IEEE International Conference on Intelligence and Security Informatics (IEEE ISI 2009), IEEE Press, 2009.
  9. Lotfi Zadeh, Stuart Rubin, Shu-Ching Chen, Mei-Ling Shyu, Gary D. Boetticher, Du Zhang, Taghi M. Khoshgoftaar, Eric Gregoire, Wen-Lian Hsu, Althea Liang Qianhui, June R. Massoud, Louellen McCoy, Chengcui Zhang, James B. D. Joshi, Suresh Vadhva, Min-Yuh Day, Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2008), IEEE Press, 2008.
  10. Lotfi Zadeh, Stuart Rubin, Shu-Ching Chen, Weide Chang, James B. D. Joshi, Du Zhang, Taghi M. Khoshgoftaar, Éric Grégoire, Chengcui Zhang, Wen-Lian Hsu, Althea Qianhui Liang, María Pérez, Maryoly Ortega, Ju-Yeon Jo, Min-Yuh Day, Louellen McCoy, Saubhagya Ram Joshi, Proceedings of the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2007), IEEE Press, 2007.

Patents:

Shared Task:

  1. NTCIR-17 Best Poster Presentation Award, NTCIR-17 FinArg-1: Fine-grained Argument Understanding in Financial Analysis, 2023 [NTCIR-17 Online Proceedings]
  2. NTCIR-17 Best Poster Presentation Award, NTCIR-17 MedNLP-SC: Medical Natural Language Processing for Social media and Clinical texts, 2023 [NTCIR-17 Online Proceedings]
  3. The first place in Analysis Report Chinese subtask of the NTCIR-16 FinNum-3 Investor’s and Manager’s Fine-grained Claim Detection Task, 2022 [NTCIR-16 Online Proceedings]
  4. The first place in the English Nugget Detection (ND) subtask of the NTCIR-16 Dialogue Evaluation (DialEval-2) Task, 2022 [NTCIR-16 Online Proceedings]
  5. Oral Presentation Award, NTCIR-16 FinNum-3 Investor’s and Manager’s Fine-grained Claim Detection Task, 2022 [NTCIR-16 Online Proceedings]
  6. Poster Presentation Award, NTCIR-16 FinNum-3 Investor’s and Manager’s Fine-grained Claim Detection Task, 2022 [NTCIR-16 Online Proceedings]
  7. The first place in the Chinese Dialogue Quality (DQ) subtask of the NTCIR-15 Dialogue Evaluation (DialEval-1) Task. (2020) [NTCIR-15 Online Proceedings]
  8. The first place in the English Dialogue Quality (DQ) subtask of the NTCIR-15 Dialogue Evaluation (DialEval-1) Task. (2020) [NTCIR-15 Online Proceedings]
  9. The first place in the Chinese Nugget Detection (ND) subtask of the NTCIR-15 Dialogue Evaluation (DialEval-1) Task. (2020) [NTCIR-15 Online Proceedings]
  10. The first place in the English Nugget Detection (ND) subtask of the NTCIR-15 Dialogue Evaluation (DialEval-1) Task. (2020) [NTCIR-15 Online Proceedings]
  11. Presentation Award, NTCIR-15 Dialogue Evaluation (DialEval-1) Task, 2020 [NTCIR-15 Online Proceedings]
  12. The first place in the CS-RITE4QA subtask of the NTCIR-10 Recognizing Inference in TExt (RITE) task. (2013) [NTCIR-10 Online Proceedings] [IMTKU RITE Demo System]
  13. The second place in the CT-RITE4QA subtask of the NTCIR-10 Recognizing Inference in TExt (RITE) task. (2013) [NTCIR-10 Online Proceedings] [IMTKU RITE Demo System]
  14. The first place in the CT-RITE4QA subtask of the NTCIR-9 Recognizing Inference in TExt (RITE) task. (2011) [NTCIR-9 Online Proceedings] [IMTKU RITE Demo System]
  15. The first place in the CS-RITE4QA subtask of the NTCIR-9 Recognizing Inference in TExt (RITE) task. (2011) [NTCIR-9 Online Proceedings] [IMTKU RITE Demo System]
  16. The second place in the CT-MC subtask of the NTCIR-9 Recognizing Inference in TExt (RITE) task. (2011) [NTCIR-9 Online Proceedings] [IMTKU RITE Demo System]
  17. The first place in the English-Chinese (E-C) subtask of the NTCIR-6 Cross-Lingual Question Answering (CLQA) task.(2007) [NTCIR-6 Online Proceedings]
  18. The first place in the Chinese-Chinese (C-C) subtask of the NTCIR-6 Cross-Lingual Question Answering (CLQA) task.(2007) [NTCIR-6 Online Proceedings]
  19. The first place in the Chinese-Chinese (C-C) subtask of the NTCIR-5 Cross-Lingual Question Answering (CLQA) task.(2005) [NTCIR-5 Online Proceedings]

Research Projects:

  1. PI, Fintech Green Finance for Carbon Market Index, Corporate Finance, and Environmental Policies, Sub-project 1: Carbon Emission Sentiment Index with AI Text Analytics, NTPU, 113-NTPU_ORDA-F-003, 2 Years, 2023/01/01-2024/12/31, Year 2: 2024/01/01~2024/12/31 [Grant: NTD 1,350,000]
  2. PI, Digital Support, Unimpeded Communication: The Development, Support and Promotion of AI-assisted Communication Assistive Devices for Speech Impairment (2/3), Sub-project 3: Multimodal Cross-lingual Task-Oriented Dialogue System for Inclusive Communication Support, NSTC (HZZ22), NSTC 113-2425-H-305-003-, 3 Years (2023/05/01-2026/04/30) Year 1: 2024/05/01~2025/04/30 [Grant: NTD 6,300,000]
  3. PI, Research on speech processing, synthesis, recognition, and sentence construction of people with language disabilities, Sub-project 3: Multimodal Cross-lingual Task-Oriented Dialogue System, NTPU, 113-NTPU_ORDA-F-004, 3 Years (2023/01/01-2025/12/31) Year 2: 2024/01/01~2024/12/31 [Grant: NTD 1,100,000]
  4. PI, Metaverse AI Multimodal Cross-Language Task-Oriented Dialogue System, ATEC Group, Fintech and Green Finance Center (FGFC, NTPU), NTPU-112A413E01, 3 Years (2023/05/01~2026/04/30) [Grant: NTD 1,800,000]
  5. PI, Generative AI-Driven ESG Report Generation Technology, Industrial Technology Research Institute (ITRI), Fintech and Green Finance Center (FGFC, NTPU))，NTPU-113A513E01，2024/03/01~2024/12/31 [Grant: NTD 900,000]
  6. Co-PI, Establishment and Implement of Smart Assistive Technology for Dementia Care and Its Socio-Economic Impacts (3/3), Sub-project 1: Intelligent, individualized and precise care with smart AT and system integration, NSTC, 113-2627-M-038-001-, 2024/08/01~2025/07/31 [Grant: NTD 6,000,000]
  7. PI, Prospective longitudinal study on peri-implant bone loss associated with peri-implantitis, USTP (NTPU, TMU), USTP-NTPU-TMU-113-03, 2024/01/01~2024/12/31 [Grant: NTD 400,000]
  8. Co-PI, Large Language Model Agent System for Smart City, Institute for Information Industry (III), NTPU, NTPU-113, 2024/06/11~2024/12/16 [Grant: NTD 780,000]
  9. Co-PI, Establishment and Implement of Smart Assistive Technology for Dementia Care and Its Socio-Economic Impacts (2/3), Sub-project 1: Intelligent, individualized and precise care with smart AT and system integration, NSTC, 112-2627-M-038-001-, 2023/08/01~2024/07/31 [Grant: NTD 6,000,000]
  10. PI, Fintech Green Finance for Carbon Market Index, Corporate Finance, and Environmental Policies, Sub-project 1: Carbon Emission Sentiment Index with AI Text Analytics, NTPU, 112-NTPU_ORDA-F-003, 2 Years, 2023/01/01-2024/12/31, Year 1: 2023/01/01~2023/12/31 [Grant: NTD 2,000,000]
  11. PI, Digital Support, Unimpeded Communication: The Development, Support and Promotion of AI-assisted Communication Assistive Devices for Speech Impairment (1/3), Sub-project 3: Multimodal Cross-lingual Task-Oriented Dialogue System for Inclusive Communication Support, NSTC (HZZ22), NSTC 112-2425-H-305-002-, 3 Years (2023/05/01-2026/04/30) Year 1: 2023/05/01~2024/04/30 [Grant: NTD 6,300,000]
  12. PI, Research on speech processing, synthesis, recognition, and sentence construction of people with language disabilities, Sub-project 3: Multimodal Cross-lingual Task-Oriented Dialogue System, NTPU, 112-NTPU_ORDA-F-004, 3 Years (2023/01/01-2025/12/31) Year 1: 2023/01/01~2023/12/31 [Grant: NTD 1,920,000]
  13. PI, Use deep learning to identify commercially dental implant systems - observational study, USTP (NTPU, TMU), USTP-NTPU-TMU-112-01, 2023/01/01~2023/12/31 [Grant: NTD 440,000]
  14. PI, Pilot Study on Universal Data Processing for Code Generation Engine, Institute for Information Industry (III), Fintech and Green Finance Center (FGFC, NTPU), NTPU-112A513E01, 2023/08/01~2023/12/22 [Grant: NTD 500,000]
  15. PI, Metaverse Avatar Automatic Metadata Generation Module, FormosaVerse, Fintech and Green Finance Center (FGFC, NTPU), NTPU-111A413E01, 2022/12/01~2023/11/30 [Grant: NTD 600,000]
  16. PI, Applying AI technology to construct knowledge graphs of cryptocurrency anti-money laundering: a few-shot learning model, MOST, 110-2410-H-305-013-MY2, 2021/08/01~2023/07/31 [Grant: NTD 1,022,000]
  17. Co-PI, Establishment and Implement of Smart Assistive Technology for Dementia Care and Its Socio-Economic Impacts (1/3), Sub-project 1: Intelligent, individualized and precise care with smart AT and system integration, MOST, 111-2627-M-038-001-, 2022/08/01~2023/07/31 [Grant: NTD 6,000,000]
  18. Co-PI, Deepen Corporate Sustainability: Enhance the Performance of Corporate Sustainability from AI, Financial, and Strategic Perspectives, Sub-project 2: AI for Corporate Sustainability Assessment and Cross Language Corporate Sustainability Reports Generative Model, NTPU, 111-NTPU_ORDA-F-001, 2022/01/01~2022/12/31 [Grant: NTD 3,228,500]
  19. PI, Artificial intelligence methods applied for analyzing the introduction of technological innovation: Patent text analysis and image analysis, Sub-project 3: Artificial Intelligence for FinTech Knowledge Graph from Patent Textual Analytics, NTPU, 111-NTPU_ORDA-F-003, 2022/01/01~2022/12/31 [Grant: NTD 1,291,950]
  20. Co-PI, Corporate Sustainability: Motivations, Value Relevance, and the Application of AI in the Assessment, Sub-project 2: An application of artificial intelligence (AI) in the corporate sustainability assessment), NTPU, 110-NTPU_ORDA-F-001, 2021/01/01~2021/12/31 [Grant: NTD 3,240,000]
  21. Co-PI, Implementation of Suicidal Ideation, Risk Analytics, and Data Visual Representation (Isuiradar) – Application of Artificial Intelligence Techniques on Social Media Contexts, MOST, 109-2637-E-227-001-, 2020/08/01~2021/07/31 [Grant: NTD 722,000]
  22. Co-PI, Detecting Hate Speech and Analyzing Brand Hate Behavior: Corpus Development, Artificial Intelligence Detection, and Consumers' Boycott Behavior Analysis, MOST, 109-2410-H-305-029-, 2020/08/01~2021/07/31 [Grant: NTD 480,000]
  23. Co-PI, Fake News in Social Ｍedia: Circulation, Influence Factors, and Automatic Detection Based on Artificial Intelligence, MOST, 107-2410-H-305-036-MY2, 2018/08/01~2020/07/31 [Grant: NTD 1,171,000]
  24. Co-PI, Sentiment Analysis of Social Media Based on Identity Identification - Example of Breast Cancer Screening, MOST 106-2221-E-227-002-, 2017/08/01~2018/07/31 [Grant: NTD 539,000]
  25. Co-PI, Opinioning Spamming, Fake Reviewers, and Fake Reviewer Groups: Detection Approaches Development and Consumers' Attitude Investigation), MOST, 105-2410-H-305-065-MY2, 2016/08/01~2018/07/31 [Grant: NTD 1,240,000]
  26. Co-PI, Visual analytics of R&D inputs and outputs performance - a case study of telecare domain), MOST, 105-2634-F-227-001-, 2016/09/01~2017/08/31 [Grant: NTD 740,000]
  27. PI, Planning a Development Blueprint for Data Services in Taiwan, MOEAIDB, ITRI, 2016/08/01~2017/07/31 [Grant: NTD 500,000]
  28. Co-PI, The Study on the Communication of Nuclear Power Issue and Public Deliberation (2/3), NSC, NSC101-3113-P-032-001-, 2012/01/01-2013/03/31 [Grant: NTD 3,816,000]
  29. Co-PI, A Study of Integrated Vertical Search Engine Focused on Global Trade Show Exhibition for Small and Medium Enterprises (SMEs), TKU, 2011/8/1-2012/8/31 [Grant: NTD 531,000]
  30. Post Doctor, Development of a Highly Sensitive and Label-Free Strategy for Multiplexed Quantitative Membrane Proteomics and Phosphoproteomics: Study of Cancer Mechanism and Biomarker Discovery in Human Lung Cancer, Sinica, NSC, NSC97-2628-M001-020-MY3, 2010/08-2011/01 [Grant: NTD 3,342,000]
  31. RA, The Development of User Satisfaction Evaluation Models of Question Answering Systems, NSC, NSC95-2416-H-002-047, 2006/08/01-2007/10/31 [Grant: NTD 567,000]
  32. RA, Content Science for a Media-Rich Life, Content Semantics (4/4), NSC, NSC96-2752-E-001-001-PAE, 2007/04 - 2008/09 [Grant: NTD 8,405,000]
  33. RA, Content Science for a Media-Rich Life, Content Semantics (3/4), NSC, NSC95-2752-E-001-001-PAE, 2006/04 – 2007/08 [Grant: NTD 8,140,000]
  34. RA, Content Science for a Media-Rich Life, Content Semantics (2/4), NSC, NSC94-2752-E-001-001-PAE, 2005/04 – 2006/06 [Grant: NTD 8,230,000]
  35. RA, Content Science for a Media-Rich Life, Content Semantics (1/4), NSC, NSC93-2752-E-001-001-PAE, 2004/04 – 2005/06 [Grant: NTD 6,543,000]

Talks and Presentations:

  1. Min-Yuh Day (2024), "Generative AI for Corporate ESG and Sustainable Development", Invited Talk at National Taipei University (NTPU), Taipei, Taiwan, November 16, 2024. [ppt][pdf]
  2. Min-Yuh Day (2024), "Generative AI for ESG Data Analytics and Sustainability Innovation", Invited Talk at International Workshop on Information Management and Media Science (IWIMMS 2024), University of Tsukuba, Japan, November 7, 2024. [ppt][pdf]
  3. Min-Yuh Day (2024), "Generative AI and Sustainable Development Applications", Invited Talk at Tainan University of Technology (TUT), Tainan, Taiwan, June 26, 2024. [ppt][pdf]
  4. Min-Yuh Day (2024), "Innovative English Medium Instruction (EMI) Strategies in AI for Business Applications", Invited Talk at Chung Yuan Christian University (CYCU), Taoyuan, Taiwan, May 10, 2024. [ppt][pdf]
  5. Min-Yuh Day (2024), "Generative AI for Sustainability and ESG Data Analytics", Invited Talk at Yuan Ze University (YZU), Chungli, Taiwan, April 12, 2024. [ppt][pdf]
  6. Min-Yuh Day (2024), "Generative AI for Sustainable Development Innovative Applications", Invited Talk at Digital Sustainability Summit 2024 (DSS2024), Taipei, Taiwan, March 29, 2024. [ppt][pdf]
  7. Min-Yuh Day (2024), "Sharing EMI Teaching Experiences in the EMI Teacher Community II", Invited Talk at National Taipei University (NTPU), Taipei, Taiwan, March 27, 2024. [ppt][pdf]
  8. Min-Yuh Day (2023), "Generative AI for Corporate ESG and Sustainable Development", Invited Talk at National Taipei University (NTPU), Taipei, Taiwan, December 2, 2023. [ppt][pdf]
  9. Min-Yuh Day (2023), "Generative AI for Sustainable Development Applications", Invited Talk at National University of Kaohsiung (NUK), Kaohsiung, Taiwan, November 24, 2023. [ppt][pdf]
  10. Min-Yuh Day (2023), "Innovative Strategies for Successful English-Medium Instruction (EMI) Implementation" , Invited Talk at Yuan Ze University (YZU), Chungli, Taiwan, November 23, 2023. [ppt][pdf]
  11. Min-Yuh Day (2023), "Generative AI in Educational Applications", Invited Talk at National Taipei University (NTPU), Taiwan, October 26, 2023. [ppt][pdf]
  12. Min-Yuh Day (2023), "Generative AI and Large Language Models for Dialogue Systems", Invited Talk at National Chengchi University (NCCU), Taiwan, September 14, 2023. [ppt][pdf]
  13. Min-Yuh Day (2023), "Generative AI and Large Language Models for Question Answering and Dialogue Systems", Invited Talk at Taipei R&D Center, Asia University, Taipei, Taiwan, July 26, 2023. [ppt][pdf]
  14. Min-Yuh Day (2023), "ChatGPT and Generative AI for Green Finance and ESG Applications", Invited Talk at Soochow University (SCU), Taipei, Taiwan, June 14, 2023. [ppt][pdf]
  15. Min-Yuh Day (2023), "Sharing Teaching Experiences in EMI Courses and Project-based Learning (PBL)" , Invited Talk at Shih Hsin University (SHU), Taipei, Taiwan, May 22, 2023. [ppt][pdf]
  16. Min-Yuh Day (2023), "Generative AI and ChatGPT for ESG and Sustainable Development" , Invited Talk at National Taipei University (NTPU), Taipei, Taiwan, April 27, 2023. [ppt][pdf]
  17. Min-Yuh Day (2023), "Generative AI and ChatGPT" , Invited Talk at Taipei Shift ShareCourse (TPSSC), Taipei, Taiwan, March 30, 2023. [ppt][pdf]
  18. Min-Yuh Day (2023), "ChatGPT and Conversational AI with Reinforcement Learning from Human Feedback (RLHF)", Invited Talk at Soochow University (SCU), Taipei, Taiwan, February 17, 2023. [ppt][pdf]
  19. Min-Yuh Day (2022), "Artificial Intelligence in Fintech, Green Finance, and ESG" , Invited Talk at Academia Sinica, Taipei, Taiwan, December 12, 2022. [ppt][pdf]
  20. Min-Yuh Day (2022), "AI in Fintech, Green Finance, and Sustainability" , Invited Talk at National Taiwan University (NTU), Taipei, Taiwan, December 1, 2022. [ppt][pdf]
  21. Min-Yuh Day (2022), "Artificial Intelligence in Fintech, Green Finance, and Sustainability Innovation" , Invited Talk at Tamkang University (TKU), Taipei, Taiwan, November 28, 2022. [ppt][pdf]
  22. Min-Yuh Day (2022), "Cambridge English Teacher Online Training Course and EMI Teaching Experiences Sharing" , Invited Talk at EMI Workshop, NTPU Bilingual Education Office, National Taipei University (NTPU), Taipei, Taiwan, November 16, 2022. [ppt][pdf]
  23. Min-Yuh Day (2022), "Artificial Intelligence Methods Applied for Analyzing the Introduction of Technological Innovation: Patent Text Analysis and Image Analysis" , Invited Talk at FinTech Taipei 2022, Taipei, Taiwan, October 28-29, 2022. [ppt][pdf]
  24. Min-Yuh Day (2022), "Sustainability Information Digital Reporting Technology Technology" , Invited Talk at FinTech Taipei 2022, Taipei, Taiwan, October 28-29, 2022. [ppt][pdf]
  25. Min-Yuh Day (2022), "Artificial Intelligence in Fintech, Green Finance and ESG " , Invited Talk at Chung Yuan Christian University (CYCU), Taoyuan, Taiwan, October 13, 2022. [ppt][pdf]
  26. Min-Yuh Day (2022), "NTCIR Evaluation of Dialogue System and Financial Technology" , Invited Talk at National Taiwan Normal University (NTNU), Taipei, Taiwan, September 16, 2022. [ppt][pdf]
  27. Min-Yuh Day (2022), "Cloud Storage and Sustainability Information" , Invited Talk at 2022 ESG Summit, Taipei, Taiwan, June 25, 2022. [ppt][pdf]
  28. Min-Yuh Day (2022), "Sustainability Information Reporting Tool: Cloud Technology" , Invited Talk at 2022 ESG Summit, Taipei, Taiwan, June 24, 2022. [ppt][pdf]
  29. Min-Yuh Day (2022), "Cloud Computing Architecture for Artificial Intelligence" , Invited Talk at Tamkang University (TKU), Taipei, Taiwan, May 24, 2022. [ppt][pdf]
  30. Min-Yuh Day (2022), "AWS Relational Database Service (RDS): Lab 10 Creating an Amazon RDS Database Instance" , Invited Talk at National Taipei University (NTPU), Taipei, Taiwan, May 20, 2022. [ppt][pdf]
  31. Min-Yuh Day (2022), "Artificial Intelligence for Text Analytics in FinTech" , Invited Talk at National Taiwan Ocean University (NTOU), Keelung, Taiwan, May 19, 2022. [ppt][pdf]
  32. Min-Yuh Day (2022), "AWS Content Delivery Network Lab 5 Using CloudFront as a CDN for a Website" , Invited Talk at National Taipei University (NTPU), Taipei, Taiwan, May 6, 2022. [ppt][pdf]
  33. Min-Yuh Day (2022), "Teaching Experiences Sharing of EMI Courses in AI for Business Applications" , Invited Talk at National Taipei University (NTPU), Taipei, Taiwan, May 5, 2022. [ppt][pdf]
  34. Min-Yuh Day (2022), "Introduction to Amazon Web Services (AWS) Certifications Roadmap" , Invited Talk at Chinese Culture University (CCU), Taipei, Taiwan, March 13, 2022. [ppt][pdf]
  35. Min-Yuh Day (2022), "Artificial Intelligence for Text Analytics in FinTech" , Invited Talk at Tunghai University (THU), Taichung, Taiwan, March 10, 2022. [ppt][pdf]
  36. Min-Yuh Day (2021), "Artificial Intelligence in Finance and Quantitative Analysis" , Invited Talk at National Taiwan University of Science and Technology (NTUST), Taipei, Taiwan, December 6, 2021. [ppt][pdf]
  37. Min-Yuh Day (2021), "AWS Academy Educate Cloud Computing in Curriculum Infusion at NTPU" , Invited Talk at the 2021 Conference on AWS Academy Educate Cloud Computing in Curriculum Infusion, USC, Taipei, Taiwan, November 26, 2021. [ppt][pdf]
  38. Min-Yuh Day (2021), "Cloud, Finance, and Data Science: Interdisciplinary Learning" , Invited Talk at AWS Educate Ambassador in Taiwan, Taipei, Taiwan, August 12, 2021. [ppt][pdf]
  39. Min-Yuh Day (2021), "Teaching Experiences Sharing of Introducing AWS Academy at NTPU: Foundation of Business Cloud Computing" , Invited Talk at AWS Educate Taiwan, Taipei, Taiwan, July 5, 2021. [ppt][pdf]
  40. Min-Yuh Day (2021), "AI in Finance Big Data Analytics" , Invited Talk at Tunghai University (THU), Taichung, Taiwan, June 5, 2021. [ppt][pdf]
  41. Min-Yuh Day (2021), "AWS Certification Overview" , Invited Talk at Tamkang University (TKU), Taipei, Taiwan, May 27, 2021. [ppt][pdf]
  42. Min-Yuh Day (2021), "AI Task-Oriented Dialogue System for Conversational Commerce in FinTech" , Invited Talk at National Taiwan University of Science and Technology (NTUST), Taipei, Taiwan, May 10, 2021. [ppt][pdf]
  43. Min-Yuh Day (2021), "Experiences Sharing of Introducing AWS Cloud Applications into Teaching" , Invited Talk at National Taipei University (NTPU), Taipei, Taiwan, March 16, 2021. [ppt][pdf]
  44. Min-Yuh Day (2021), "AWS Core Services and Use Cases" , Invited Talk at Tamkang University (TKU), Taipei, Taiwan, March 4, 2021. [Secured ppt][Secured pdf]
  45. Min-Yuh Day (2020), "AI Task-Oriented Dialogue System", Invited Talk at Chinese Culture University (CCU), Taipei, Taiwan, November 27, 2020. [ppt][pdf]
  46. Min-Yuh Day (2020), "Artificial Intelligence in Oral Health Applications", Invited Talk at Taipei Medical University (TMU), Taipei, Taiwan, November 23, 2020. [ppt][pdf]
  47. Min-Yuh Day (2020), "What is Artificial Intelligence Learning?", Invited Talk at Taipei Medical University (TMU), Taipei, Taiwan, November 23, 2020. [ppt][pdf]
  48. Min-Yuh Day (2020), "Question Answering and Dialogue Systems", Invited Talk at Formosa Plastics Corporation, Kaohsiung, Taiwan, October 23, 2020. [ppt][pdf]
  49. Min-Yuh Day (2020), "Artificial Intelligence for Text Analytics: Foundations and Applications", Invited Talk at Formosa Plastics Corporation, Kaohsiung, Taiwan, September 26, 2020. [ppt][pdf]
  50. Min-Yuh Day (2020), "Core Technologies of Natural Language Processing and Text Mining", Invited Talk at Formosa Plastics Corporation, Kaohsiung, Taiwan, September 18, 2020. [ppt][pdf]
  51. Min-Yuh Day (2020), "Social Distancing Marketing Beyond COVID-19 Pandemic", Invited Talk at Formosa Plastics Corporation, Kaohsiung, Taiwan, August 14, 2020. [ppt][pdf]
  52. Min-Yuh Day (2020), "Deep Learning and Universal Sentence-Embedding Models", Invited Talk at Formosa Plastics Corporation, Kaohsiung, Taiwan, August 14, 2020. [ppt][pdf]
  53. Min-Yuh Day (2020), "Question Answering and Dialogue Systems", Invited Talk at National Taipei University of Nursing and Health Sciences (NTUNHS), Taipei, Taiwan, June 19, 2020. [ppt][pdf]
  54. Min-Yuh Day (2020), "Deep Learning and Universal Sentence-Embedding Models", Invited Talk at National Taipei University of Nursing and Health Sciences (NTUNHS), Taipei, Taiwan, June 12, 2020. [ppt][pdf]
  55. Min-Yuh Day (2020), "Semantic Analysis and Named Entity Recognition (NER)", Invited Talk at National Taipei University of Nursing and Health Sciences (NTUNHS), Taipei, Taiwan, June 5, 2020. [ppt][pdf]
  56. Min-Yuh Day (2020), "Feature Engineering for Text Representation", Invited Talk at National Taipei University of Nursing and Health Sciences (NTUNHS), Taipei, Taiwan, May 29, 2020. [ppt][pdf]
  57. Min-Yuh Day (2020), "AI Robot and Task-Oriented Dialogue Systems" , Invited Talk at Yuan Ze University (YZU), Chungli, Taiwan, May 22, 2020 [ppt][pdf]
  58. Min-Yuh Day (2020), "Artificial Intelligence for Text Analytics: Foundations and Applications", Invited Talk at National Taipei University of Nursing and Health Sciences (NTUNHS), Taipei, Taiwan, May 22, 2020. [ppt][pdf]
  59. Min-Yuh Day (2020), "Core Technologies of Natural Language Processing and Text Mining", Invited Talk at National Taipei University of Nursing and Health Sciences (NTUNHS), Taipei, Taiwan, May 15, 2020. [ppt][pdf]
  60. Min-Yuh Day (2020), "AWS Solutions Architect Overview" , Invited Talk at Tamkang University (TKU), Taipei, Taiwan, April 9, 2020. [Secured ppt][Secured pdf]
  61. Min-Yuh Day (2020), "AWS Core Services and Use Cases" , Invited Talk at Tamkang University (TKU), Taipei, Taiwan, March 26, 2020. [Secured ppt][Secured pdf]
  62. Min-Yuh Day (2020), "AWS Cloud Foundation" , Invited Talk at Tamkang University (TKU), Taipei, Taiwan, March 19, 2020. [Secured ppt][Secured pdf]
  63. Min-Yuh Day (2019), "AI Dialogue System for Conversational Commerce in FinTech" , Invited Talk at Yuan Ze University (YZU), Chungli, Taiwan, December 4, 2019 [ppt][pdf]
  64. Min-Yuh Day (2019), "AI Robo-Advisor and Chatbot for Conversational Commerce in FinTech" , Invited Talk at National Taipei University (NTPU), Taipei, Taiwan, November 20, 2019. [ppt][pdf]
  65. Min-Yuh Day (2019), "AI Conversational Robo-Advisor with Finance Big Data Analytics" , Invited Talk at Taipei Medical University (TMU), Taipei, Taiwan, October 30, 2019. [ppt][pdf]
  66. Min-Yuh Day (2019), "AI Humanoid Conversational Robo-Advisor" , Invited Talk at National Central University (NCU), Taoyuan, Taiwan, May 6, 2019. [ppt][pdf]
  67. Min-Yuh Day (2019), "AI for Financial Services Innovation and Application" , Invited Talk at St. John's University (SJU), New Taipei City, Taiwan, April 19, 2019. [ppt][pdf]
  68. Min-Yuh Day (2019), "AI Robo-Advisor and Conversational Commerce" , Invited Talk at National Taipei University (NTPU), Taipei, Taiwan, January 2, 2019. [ppt][pdf]
  69. Min-Yuh Day (2018), "AI Investment Analysis for Finance Services and Business Applications Trends", Invited Talk at Yuanta Funds, Taipei, Taiwan, December 14, 2018. [ppt][pdf]
  70. Min-Yuh Day (2018), "Text Analytics and Natural Language Processing", Invited Talk at National Taipei University (NTPU), Taipei, Taiwan, December 4-11, 2018. [ppt][pdf]
  71. Min-Yuh Day (2018), "Natural Language Processing (NLP)", Invited Talk at MBA, Information Management, Tamkang University (TKU), Taipei, Taiwan, November 23, 2018. [ppt][pdf]
  72. Min-Yuh Day (2018), "AI Chatbots for Conversational Commerce in Finance", Invited Talk at INFORMS International 2018 Meeting (Informs 2018) , Taipei, Taiwan, June 17-20, 2018. [Session][Presentation]
  73. Min-Yuh Day (2018), "Chatbot: AI Applications in Conversational Commerce", Invited Talk at Institute for Information Industry (III), Taipei, Taiwan, June 1, 2018. [ppt][pdf]
  74. Min-Yuh Day (2018), "Social Network Analysis with Gephi", Invited Talk at National Central University (NCU), Taoyuan, Taiwan, May 14, 2018. [ppt][pdf]
  75. Min-Yuh Day (2018), "NTCIR Evaluation of Question Answering and Conversation Technologies", Invited Talk at National Taiwan Normal University (NTNU), Taipei, Taiwan, May 1, 2018. [ppt][pdf]
  76. Min-Yuh Day (2018), "Deep Learning for Visual Recognition", Invited Talk at National Taipei University of Nursing and Health Sciences (NTUNHS), Taipei, Taiwan, January 25, 2018. [ppt][pdf]
  77. Min-Yuh Day (2017), "AI Chatbots and Conversational Commerce", Invited Talk at National Taipei University of Nursing and Health Sciences (NTUNHS), Taipei, Taiwan, December 25, 2017. [ppt][pdf]
  78. Min-Yuh Day (2017), "AI Robo-Advisors", Invited Talk at Electronic Commerce MBA Program, National Taipei University (NTPU), Taipei, Taiwan, November 20, 2017. [ppt][pdf]
  79. Min-Yuh Day (2017), "Deep Learning with Google TensorFlow" , Invited Talk at EMBA, Information Management, Tamkang University (TKU), Taipei, Taiwan, June 5, 2017. [ppt][pdf]
  80. Min-Yuh Day (2017), "Text Mining and Natural Language Processing", Invited Talk at National Taipei University of Nursing and Health Sciences (NTUNHS), Taipei, Taiwan, January 23, 2017. [ppt][pdf]
  81. Min-Yuh Day (2016), "Research on Social Computing and Big Data Analytics", Invited Talk at Soochow University (SCU), Taiwan, November 17, 2016. [ppt][pdf]
  82. Min-Yuh Day (2016), "Big Data Analytics for Financial Sentiment Analysis in FinTech", Invited Talk at Chaoyang University of Technology (CYUT), Taiwan, November 15, 2016. [ppt][pdf]
  83. Min-Yuh Day (2016), "Social Media and Sentiment Analysis", Invited Talk at National Chengchi University (NCCU), Taiwan, November 1, 2016. [ppt][pdf]
  84. Min-Yuh Day (2016), "Social Media and Opinion Mining", Invited Talk at National Chengchi University (NCCU), Taiwan, October 25, 2016. [ppt][pdf]
  85. Min-Yuh Day (2016), "Text Mining and Sentiment Analytics on Social Media", Invited Talk at Office of Quality Assurance and Audit, Tamkang University, Taiwan, May 10, 2016. [ppt][pdf]
  86. Min-Yuh Day (2016), "Social Computing and Big Data Analytics", Invited Talk at China Airlines, Taiwan, April 18, 2016. [ppt][pdf]
  87. Min-Yuh Day (2015), "Big Data Analytics on Social Media", Invited Talk at Department of Computer Science & Information Engineering, Ming Chuan University (MCU), Taiwan, December 25, 2015. [ppt][pdf]
  88. Min-Yuh Day (2015), "Introduction to Data Mining for Big Data Analysis" , Invited Talk at EMBA, Information Management, Tamkang University (TKU), Taipei, Taiwan, October 12, 2015. [ppt][pdf]
  89. Min-Yuh Day (2014), "Electronic Commerce Transaction Security", Invited Talk at SYSTEX, Taipei, Taiwan, July 3, 2014. [ppt][pdf]
  90. Min-Yuh Day (2014), "Social Media and Social Computing", Invited Talk at SYSTEX, Taipei, Taiwan, June 25, 2014. [ppt][pdf]
  91. Min-Yuh Day (2013), "NTCIR Evaluation Activities: Recent Advances on RITE (Recognizing Inference in Text)", Invited Talk at the Workshop on Emerging Trends in Interactive Information Retrieval & Evaluations (WETIIRE 2013), Fu Jen Catholic University (FJU), New Taipei City, Taiwan, October 4, 2013. [ppt][pdf]
  92. Min-Yuh Day, Chun Tu, Shih-Jhen Huang, Hou-Cheng Vong, Shih-Wei Wu (2013), "IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE2," presented the 10th NTCIR Workshop Meeting on Evaluation of Information Access Technologies (NTCIR-10), Tokyo, Japan, June 18-21, 2013. [Paper] [Poster] [Slide]
  93. Min-Yuh Day (2012),"Social Word-of-Mouth and Web Mining", Invited Talk at College of Oral Medicine, Taipei Medical University (TMU), Taipei, Taiwan, October 31, 2012. [ppt][pdf]
  94. Min-Yuh Day (2012),"Social Word-of-Mouth and Web Content Analysis on Social Media", Invited Talk at Commerce Development Research Institute (CDRI), Taipei, Taiwan, June 4, 2012. [ppt][pdf][2pdf][4pdf]
  95. Min-Yuh Day, Re-Yuan Lee, Cheng-Tai Liu, Chun Tu, Chin-Sheng Tseng, Loong Tern Yap, Allen-Green C.L. Huang, Yu-Hsuan Chiu and Wei-Ze Hong (2011), "IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-9 RITE," presented at the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies (NTCIR-9), Tokyo, Japan, December 6-9, 2011, pp. 339-344. [Paper] [Poster] [Slide]
  96. Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu (2007) ,"Question Classification in English-Chinese Cross-Language Question Answering: An Integrated Genetic Algorithm and Machine Learning Approach", presented at the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2007), Las Vegas, Nevada, USA, August, 13-15, 2007.[ppt][pdf]
  97. Min-Yuh Day, Chun-Hung Lu, Chorng-Shyong Ong, Shih-Hung Wu, Wen-Lian Hsu (2006) , "Integrating Genetic Algorithms with Conditional Random Fields to Enhance Question Informer Prediction", presented at the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2006), Waikoloa, Hawaii, USA, Sep 16-18, 2006.[ppt][pdf]
  98. Chun-Hung Lu, Guey-Fa Chiou, Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu (2006), “Using Instant Messaging to Provide an Intelligent Learning Environment”, presented at the 8th International Conference on Intelligent Tutoring Systems (ITS 2006), Jhongli, Taiwan, June 26-30, 2006. [ppt][pdf]
  99. Min-Yuh Day, Cheng-Wei Lee, Shih-Hung Wu, Chorng-Shyong Ong, Wen-Lian Hsu (2005), "An Integrated Knowledge-based and Machine Learning Approach for Chinese Question Classification", presented at the IEEE International Conference on Natural Language Processing and Knowledge Engineering (IEEE NLP-KE 2005), Wuhan, China, October 30 - November 1, 2005. [ppt][pdf]
  100. Min-Yuh Day, Tzong-Han Tsai, Cheng-Lung Sung, Cheng-Wei Lee, Shih-Hung Wu, Chorng-Shyong Ong, Wen-Lian Hsu (2005), “A Knowledge-based Approach to Citation Extraction,” presented at the IEEE International Conference on Information Reuse and Integration (IEEE IRI 2005), Las Vegas, Nevada, USA, August 15-17, 2005. [ppt][pdf]
  101. Min-Yuh Day, Chun-Hung Lu, Jin-Tan David Yang, Guey-Fa Chiou, Chorng-Shyong Ong, Wen-Lian Hsu (2005), "Designing an Ontology-based Intelligent Tutoring Agent with Instant Messaging," presented at the IEEE International Conference on Advanced Learning Technologies (ICALT 2005), Kaohsiung, Taiwan, July 5-8, 2005. [ppt][pdf]

Teaching: [Slides Download]

Professional Activities:

Supervision of Students:

  1. Supervised master's thesis that won the 2024 Topco Thesis Award, Excellence Award (Chia-Tung Tsai, Management Master's Thesis category, ESG group, Excellence Award)
  2. Supervised master's thesis that won the 2024 Fubon Life Management Thesis Award (Xiao-Quan Liu, EMBA category, Excellence Award)
  3. Supervised master's thesis that won the 2023 Topco Thesis Award, Honorable Mention (Pei-Ci Qiu, AI Information Master's category)
  4. Supervised master's thesis that won the 2022 Topco Thesis Award, Honorable Mention (Fan-Ming Sun, Management Master's Thesis category)
  5. Supervised master's thesis that won the 2021 Topco Thesis Award, Honorable Mention (Qing-Ying Yang, Management Master's Thesis category)
  6. Supervised master's thesis that won the 2021 Fubon Life Management Thesis Award (Ruo-Qing Zhou, Finance, Accounting and Risk Management, Honorable Mention)
  7. Supervised master's thesis that won the 2018 Topco Thesis Award, Excellence Award (Zheng-Gang Li, Management Master's Thesis category, Finance group)
  8. Supervised master's thesis that won the 2017 Topco Thesis Award, Outstanding Thesis Award (Jing-Zheng Hong, EMBA Thesis category)
  9. Supervised master's thesis that won the 2017 Fubon Life Management Thesis Award (Yue-Da Lin, Information Management, Honorable Mention)
  10. Supervised master's thesis that won the Best Paper Award at the 27th International Conference on Information Management (ICIM 2016)
  11. Supervised undergraduate project "AIWISFIN AI Conversational Financial Robot" which won First Place in the "2018 23rd National College Information Application Service Innovation Competition - Information Application Group One" and First Place in the "2018 23rd National College Information Application Service Innovation Competition - E.SUN Bank Financial Technology Trend Application Group". "AIWISFIN" also won Third Place in the "JihSun Hackathon Competition - JihSun Securities Group"

Services:

  1. Committee Member, Digital Service Innovation Subsidy Program, Digital+ Digital Innovation Subsidy Platform Program, Administration for Digital Industries (ADI), Ministry of Digital Affairs (MODA), 2024 (2024)
  2. Committee Member, Digital Service Innovation Subsidy Program, Digital+ Digital Innovation Subsidy Platform Program, Administration for Digital Industries (ADI), Ministry of Digital Affairs (MODA), 2023 (2023)
  3. Committee Member, Taiwan Cloud Market, Leading the Digital Transformation Strategic Program for Small and Medium-sized Enterprises, Administration for Digital Industries (ADI), Ministry of Digital Affairs (MODA), 2024 (2024)
  4. Committee Member, Taiwan Cloud Market, Leading the Digital Transformation Strategic Program for Small and Medium-sized Enterprises, Administration for Digital Industries (ADI), Ministry of Digital Affairs (MODA), 2023 (2023)
  5. Committee Member, Public Procurement for Start-ups, Small and Medium Enterprise Administration (SMEA), Ministry of Economic Affairs (MOEA), 2023 (2023)
  6. Committee Member, Emerging Sports Technology and Somatosensory Technology Innovation Application Development Program, Administration for Digital Industries (ADI), Ministry of Digital Affairs (MODA), 2023 (2023)
  7. Committee Member, Listing Review Committee, Taiwan Stock Exchange (TWSE), 2022 (2022)
  8. Committee Member, TAIPEI Enterprises Use Cross-Border e-Commerce Platform to Expand Marketing Program, Department of Economic Development (DOED), Taipei City Government, 2022 (2022)
  9. Committee Member, Accelerate the Introduction of 5G and AI into the Smart City IoT Innovation Application Program (5GAISCIOT), National Development Council (NDC), 2021 (2021)
  10. Committee Member , Taiwan Industrial Innovation Platform Program (TIIP), Industrial Development Bureau (IDB), Ministry of Economic Affairs (MOEA), 2020 (2020)
  11. Committee Member, Smart City Program, Industrial Development Bureau (IDB), Ministry of Economic Affairs (MOEA), 2020 (2020)
  12. Committee Member , Taiwan Industrial Innovation Platform Program (TIIP), Industrial Development Bureau (IDB), Ministry of Economic Affairs (MOEA), 2019 (2019)
  13. Committee Member, Smart City Program, Industrial Development Bureau (IDB), Ministry of Economic Affairs (MOEA), 2019 (2019)
  14. Committee Member , Taiwan Industrial Innovation Platform Program (TIIP), Industrial Development Bureau (IDB), Ministry of Economic Affairs (MOEA), 2018 (2018)
  15. Committee Member, Smart City Program, Industrial Development Bureau (IDB), Ministry of Economic Affairs (MOEA), 2018 (2018)
  16. Committee Member, 2018 Industrial Development Bureau, Ministry of Economic Affairs, Science and Technology Development Fund Project - AI Data and Software Services Acceleration Program, (2018)
  17. Committee Member, the Institute for Information Industry "Ministry of Economic Affairs, Department of Technology, 2023 Information Software and Service Industry Yearbook project, (2023)
  18. Committee Member, the Institute for Information Industry "Ministry of Economic Affairs, Department of Technology, 2022 Information Software and Service Industry Yearbook project" (2022)
  19. Committee Member, Institute for Information Industry "Ministry of Economic Affairs, Department of Technology, 2021 Information Software and Service Industry Yearbook project", (2021)
  20. External Review Committee Member, the Institute for Information Industry's Big Data Application Research Project (2015)
  21. Master Thesis Defense Committee Member, Department of Computer Science and Information Engineering, National Taiwan University (2020, 2021, 2022)
  22. Master Thesis Defense Committee Member, Graduate Institute of Information Management, National Taipei University (2016-2023)
  23. Master Thesis Defense Committee Member, Department of Business Administration, National Taipei University (2018, 2019, 2022, 2023)
  24. Master Thesis Defense Committee Member, Department of Computer Science and Information Engineering, National Taipei University (2022)
  25. Master Thesis Defense Committee Member, Graduate Institute of Information Management, National Taiwan University (2013-2015, 2023)
  26. Master Thesis Defense Committee Member, Department of Computer Science, National Chengchi University (2013, 2023)
  27. Master Thesis Defense Committee Member, Institute of Information Systems and Applications, National Tsing Hua University (2013, 2019, 2023)
  28. Master Thesis Defense Committee Member, Department of Computer Science and Information Engineering, National Taiwan Normal University (2013)
  29. Master Thesis Defense Committee Member, Graduate Institute of Technology Management, National Chung Hsing University (2011)
  30. Master Thesis Defense Committee Member, Department of Digital Learning Technology, National University of Tainan (2020, 2021)
  31. Master Thesis Defense Committee Member, Department of Information Management, Tamkang University (2011-2021)
  32. Master Thesis Defense Committee Member, Master's Program in Big Data Analytics and Business Intelligence, Tamkang University (2019-2022)
  33. Master Thesis Defense Committee Member, Executive Master's Program, Department of Information Management, Fu Jen Catholic University (2019)
  34. Master Thesis Defense Committee Member, Executive Master's Program in International Entrepreneurship and Management, Fu Jen Catholic University (2013)
  35. Master Thesis Defense Committee Member, Department of Information Management, Soochow University (2018)
  36. Master Thesis Defense Committee Member, Graduate Institute of Big Data Technology and Management, Taipei Medical University (2021)
  37. Master Thesis Defense Committee Member, Industry Master's Program in Smart Data Applications, Taipei Medical University (2021)
  38. Master Thesis Defense Committee Member, Graduate Institute of Information Management, National Taipei University of Nursing and Health Sciences (2016-2021)
  39. Master Thesis Defense Committee Member, Department of Computer Science and Information Engineering, National Yunlin University of Science and Technology (2013)
  40. Master Thesis Defense Committee Member, Department of Information Engineering, Chaoyang University of Technology (2013-2020)
  41. Master Thesis Defense Committee Member, Graduate Institute of E-Commerce, Taipei City University of Science and Technology (2020)
  42. Doctoral Thesis Reviewer, The University of New South Wales (2011-2012)

Certificates:

  1. Academic Rank Certificate: Professor, Minister of Education, Republic of China (Taiwan) (2024/2)
  2. Academic Rank Certificate: Associate Professor, Minister of Education, Republic of China (Taiwan) (2019/2)
  3. Academic Rank Certificate: Assistant Professor, Minister of Education, Republic of China (Taiwan) (2011/2)
  4. Academic Rank Certificate: Lecturer, Minister of Education, Republic of China (Taiwan) (1997/8)
  5. AWS Educate Cloud Ambassador Program - Faculty Ambassador (2020/4)
  6. AWS Certified Solutions Architect - Associate (2019/12)
  7. AWS Academy Accredited Educator (2019/9)
  8. AWS Certified Cloud Practitioner (2019/9)
  9. ISO 27001 Information Security Management Systems Auditor/Lead Auditor (2013/2)
  10. ISO 20000 IT Service Management Systems Auditor/Lead Auditor (2012/2)
  11. CompTIA Security+ Certified (2012/6)
  12. Microsoft Certified Professional Designing and Implementing Databases with Microsoft SQL Server (2000/11)
  13. Microsoft Certified Professional Administering Microsoft SQL Server 7.0 (2000/10)

Links:




Last Update: November 16, 2024

Min-Yuh Day http://web.ntpu.edu.tw/~myday/