Intelligent Financial Innovation Technology Lab (IFIT Lab), NTPU

Bridging artificial intelligence, financial technology, and sustainability for a better future

Est. 2021 | Principal Investigator: Prof. Min-Yuh Day, Ph.D.

Explore Our Research

About IFIT Lab

IFIT Lab

The Intelligent Financial Innovation Technology (IFIT) Laboratory at National Taipei University is a cutting-edge research lab dedicated to exploring the intersection of artificial intelligence, financial technology, and environmental, social, and governance (ESG) principles.

Our mission is to develop innovative technological solutions for the financial sector that are not only efficient and effective but also sustainable and responsible. We aim to bridge the gap between academic research and industry applications, creating real-world impact through our work.

Founded in 2021 by Professor Min-Yuh Day, our lab brings together a diverse team of researchers, professors, and students working on various AI and FinTech projects with a particular focus on ESG data analytics, generative AI for sustainability reporting, and green financial technology innovations.

The lab operates under the Graduate Institute of Information Management (IM), National Taipei University (NTPU) and Fintech and Green Finance Center (FGFC), collaborating with industry partners and government agencies to advance sustainable finance through technological innovation.

Research Areas

🤖

Artificial Intelligence

Developing AI solutions, including generative AI, deep reinforcement learning, and large language models for financial applications and ESG data analytics.

🌏

ESG and Green Financial Technology

Creating frameworks and innovative tools for ESG reporting, analysis, and sustainable finance with a focus on carbon market sentiment index and green finance data analytics.

📊

Big Data Analytics

Applying big data techniques for financial time series analysis, trading strategies optimization, and visualization of financial market data with heatmap approaches.

💬

Dialogue Systems

Building AI-powered conversational systems, including multimodal cross-lingual task-oriented dialogue systems for inclusive financial communication support.

📈

Trading Strategies

Researching algorithmic trading, technical analysis, and portfolio optimization using AI and deep reinforcement learning with applications to cryptocurrencies and traditional markets.

🔍

Knowledge Graphs

Developing financial knowledge graphs for cryptocurrency anti-money laundering and sustainable finance applications using text mining and information extraction.

Principal Investigator (PI)

Professor Min-Yuh Day

Prof. Min-Yuh Day

Lab Director

Principal Investigator (PI), Intelligent Financial Innovation Technology Lab (IFIT Lab)

Professor, Graduate Institute of Information Management, National Taipei University

Director, Fintech and Green Finance Center (FGFC)

Division Director, Sustainable Development, Sustainability Office

Our Team

Research member

Wen-Hsin Hsiao

Researcher

Advanced RAG-Enhanced Generative AI Dialogue System for Enterprise Knowledge Sharing

https://hsiaowh.github.io/
Research member

Bor-Jen Chen

Researcher

Generative AI for ESG Report Generation

https://borjen.github.io
Research member

Cheng-Yun Wu

Researcher

Enhancing Sports Organization Management through a Multimodal Dialogue System

https://yunwcy.github.io/
Research member

Jun-Yu Wu

Researcher

Generative AI in ESG Reporting

https://jun-yu-wu.github.io
Research member

Hsin-Ting LU

Researcher

Validating ESG Commitments with RAG-Enhanced Large Language Models: Toward Transparent and Reliable Sustainability Disclosure

https://luboblu.github.io/
Research member

Ting-Chi Wang

Researcher

Developing Generative AI-driven ESG Report Generation System

Research member

Yu-Chun Cheng

Researcher

Developing Generative AI-driven ESG Report Generation System

Research member

Wen-Ze Chen

Researcher

Development of a Deep Learning for Dental Implant Detection in Panoramic Radiographs

https://chenwenze.github.io/
Research member

Najeeb Ullah

Researcher

Development of a Deep Learning for Dental Implant Detection in Panoramic Radiographs

https://najeebullahr.github.io//
Research member

Do Gia Thuan (Nathan)

Researcher

Multimodal Cross-lingual Task-Oriented Dialogue System for Inclusive Communication Support

https://giathuando.github.io/
Research member

Wei-Chun Huang

Researcher

AI Cup-ESG Promise Verification Competition

https://wesley.github.io/
Research member

Yu-Han Huang

Researcher

AI Cup-ESG Promise Verification Competition

https://yuhanhuang.github.io/

Alumni

Research member

Yu-Han Kao

2024; UK

Enhancing Multilingual ESG Impact Duration Classification with Transformer Language Models and Data Augmentation Strategies

Research member

Hsiao-Chuan Liu

Master 2024, NTPU

Multi-modality Human Action Recognition with 3D Skeleton and RGB in Medication Adherence

Research member

Chia-Tung Tsai

Master 2024, NTPU

CMSI: Carbon Market Sentiment Index with AI Text Analytics

Research member

Wen-Hsuan Liao

Master 2024, NTPU

CAITOD: Commerce AI Multimodal Cross-Language Task-Oriented Dialogue System

Research member

Vidhya Nataraj

Master 2024, NTPU

Automatic Detection and Classification of Multiclass Skin Lesions using Deep Learning Technique

Research member

Lyca Santos De leon

Master 2024, NTPU

An Econometric Analysis of GHG Emissions From Various Agricultural Factors in the Philippines

Research member

Sieki Tefafu

Master 2023, NTPU

A Multi-criteria Decision Analysis of Cloud Business Intelligence Adoption for Sme Performance Optimization in Papua New Guinea

Research member

Jesus-Benedicto Chicas

Master 2023, NTPU

Computer Vision in Invoice for Data Extraction for Expense Classification in Accounting

Research member

Der-Joung Wang

Master 2023, NTPU

Product Name Classification Model for E-Commerce Focused on Multilingual Analysis with Artificial Intelligence Approach

Research member

Ting-Yun Hsiao

Master 2023, NTPU

FTPKG: FinTech Knowledge Graph from Patent Textual Analytics

Research member

Pei-Tz Chiu

Master 2023, NTPU

CAMLKG: Knowledge Graph of Cryptocurrency Anti-Money Laundering with Few-Shot Learning Model from Judicial Data in FinTech

Research member

Yung-Wei Teng

Master 2023, NTPU

KamKG: Financial Knowledge Graph from Key Audit Matters

Research member

Fan-Ming Sun

Master 2022, NTPU

AI for Predicting Stock Price and Portfolio Management

Research member

Chung-Chun Hsiao

Master 2022, NTPU

The Application of Artificial Intelligence for Cryptocurrency Price Prediction

Research member

Ching-Ying Yang

Master 2021, NTPU

Deep Reinforcement Learning in Portfolio Management for Trading Strategies

Research member

Yi-Hsien Lin

Master 2021, NTPU

Deep Learning with Temporal Convolution Network for Financial Market Predictions

Research member

Ruo-Qing Zhou

Master 2021, NTPU

International Stock Index Analysis and Prediction Using Deep Learning During the COVID-19 Pandemic

Research member

Zesheng Wang

Master 2021, NTPU

Applying Deep Learning Techniques to Extract Relations from Chinese Content

Journal Publications

         
Portfolio Dynamic Trading Strategies Using Deep Reinforcement Learning
         
Min-Yuh Day, Ching-Ying Yang, and Yensen Ni (2024)
         
Soft Computing, Volume 28, August 2024, pp. 8715–8730. [doi] [SCIE] [Impact Factor@2023: 3.1, Q2, (86/197 = 43.7%, (Computer Science, Artificial Intelligence)]
       
         
A comparison of bitcoin futures return and return volatility based on news sentiment contemporaneously or lead-lag
         
Yu-Sheng Kao, Min-Yuh Day, and Ke-Hsin Chou (2024)
         
The North American Journal of Economics and Finance, Volume 72, May 2024, 102159, pp. 1-22. [doi] [SSCI] [Impact Factor@2023: 3.8, Q1, (38/233 = 16.3%, Business, Finance); (84/600 = 14%, Economics)]
       
         
Establishing a novel deep learning model for detecting peri-implantitis
         
Wei-Fang Lee, Min-Yuh Day, Chih-Yuan Fang, Vidhya Nataraj, Shih-Cheng Wen, Wei-Jen Chang, and Nai-Chia Teng (2024)
         
Journal of Dental Sciences, Volume 19, Issue 2, April 2024, pp. 1165-1173. [doi] [SCIE] [Impact Factor@2023: 3.4, Q1, (17/158 = 10.8%, Dentistry, Oral Surgery & Medicine)]
       
         
The Profitability of Seasonal Trading Timing: Insights from Energy-Related Markets
         
Min-Yuh Day and Yensen Ni (2023)
         
Energy Economics, Volume 128, December, 2023, 107132, pp. 1-12. [doi] [SSCI] [Impact Factor@2023: 13.6, Q1, (1/600 = 0.1%, Economics)]
       
         
Be greedy when others are fearful: Evidence from a two-decade assessment of the NDX 100 and S&P 500 indexes
         
Min-Yuh Day and Yensen Ni (2023)
         
International Review of Financial Analysis, Volume 90, November 2023, 102856, pp. 1-13. [doi] [SSCI] [Impact Factor@2023: 7.5, Q1, (6/233 = 2.6%, Business, Finance)] [科技部財務領域A–級期刊]
       
         
Do Bitcoin news information flow and return volatility fit the sequential information arrival hypothesis and the mixture of distribution hypothesis?
         
Ke-Hsin Chou, Min-Yuh Day*, and Chien-Liang Chiu (2023)
         
International Review of Economics and Finance, Volume 88, November 2023, pp. 365-385. [doi] [SSCI] [Impact Factor@2023: 4.8, Q1, (26/233 = 11.2%, Business, Finance); (58/600 = 9.7%, Economics)][科技部財務領域A–級期刊]
       
         
Can Investors Profit from Utilizing Technical Trading Rules during the COVID-19 Pandemic?
         
Min-Yuh Day, Paoyu Huang, Yi-Rung Cheng, and Yensen Ni (2023)
         
International Journal of Information Technology & Decision Making, Volume 22, Issue 6, November 2023, pp. 1893–1921. [doi] [SCIE] [Impact Factor@2022: 4.9, Q1, (20/86 = 23.2%, Operations Research & Management Science)]
       
         
Enhancing Crypto Success via Heatmap Visualization of Big Data Analytics for Numerous Variable Moving Average Strategies
         
Chien-Liang Chiu, Yensen Ni, Hung-Ching Hu, Min-Yuh Day, and Yuhsin Chen (2023)
         
Applied Sciences, Volume 13, Issue 23, November 2023, 12805, pp. 1-18. [doi] [SCIE] [Impact Factor@2023: 2.5, Q1, (44/181= 24.3%, Engineering, Multidisciplinary)]
       
         
Investing Strategies for Trading Stocks as Overreaction Triggered by Technical Trading Rules with Big Data Concerns
         
Min-Yuh Day Paoyu Huang, Yirung Cheng and Yensen Ni (2023)
         
Romanian Journal of Economic Forecasting, Volume 26, Issue 3, October 2023, pp. 148-161. [url][SSCI] [Impact Factor@2023: 0.8, Q3, (426/603 = 70.7%, Economics)]
       
         
Visualizing profitability: A heatmap approach to evaluate Bitcoin futures trading using VMA trading rules
         
Min-Yuh Day, Yensen Ni, Chinning Hsu, and Paoyu Huang (2023)
         
Heliyon, 21 October 2023, e21376. [doi][SSCI] [Impact Factor@2023: 3.4, Q1, (28/134 = 20.9%, Multidisplinary Sciences)]
       
         
Do clean energy indices outperform using contrarian strategies based on contrarian trading rules?
         
Min-Yuh Day and Yensen Ni (2023)
         
Energy, Volume 272, 1 June 2023, 127113, pp. 1-21. [doi] [SCIE] [Impact Factor@2023: 9.0, Q1, (24/174 = 13.8%, Energy & Fuels); (3/78 = 3.8%, Thermodynamics)]
       
         
The Profitability of Bollinger Bands Trading Bitcoin Futures
         
Min-Yuh Day, Yirung Cheng, Paoyu Huang, and Yensen Ni (2023)
         
Applied Economics Letters, Volume 30, Issue 11, June 2023, pp. 1437-1443. [doi] [SSCI] [Impact Factor@2023: 1.2, Q3, (341/600= 56.9%, Economics)]
       
         
Using Heatmap Visualization to assess the performance of the DJ30 and NASDAQ100 Indices under diverse VMA trading rules
         
Yuhsin Chen, Paoyu Huang, Min-Yuh Day, Yensen Ni, and Mei-Chu Liang (2023)
         
PLoS One, Volume 18, Issue 5, 11 May 2023, e0284918, pp. 1-16. [doi] [SCIE] [Impact Factor@2023: 2.9, Q1, (32/134 = 23.9%, Multidisplinary Sciences)]
       
         
The profitability of trading US stocks in Quarter 4 - evidence from trading signals emitted by SOI and RSI
         
Min-Yuh Day, Yirung Cheng, Paoyu Huang, and Yensen Ni (2023)
         
Applied Economics Letters, Volume 30, Issue 9, May 2023, pp. 1173-1178. [doi] [SSCI] [Impact Factor@2023: 1.2, Q3, (341/600= 56.9%, Economics)]
       
         
Can Investors Profit by Utilizing Technical Trading Strategies? Evidence from Korean and Chinese Stock Markets
         
Yensen Ni, Min-Yuh Day, Yi-Rung Cheng, and Paoyu Huang (2022)
         
Financial Innovation, Volume 8, 54, June 2022, pp. 1-21. [doi] [SSCI] [Impact Factor@2022: 8.4, Q1, (3/111 = 2.7%, Business, Finance); (1/53 = 1.9%, Social Science, Mathematical Methods)]
       
         
Do Investment Strategies Matter for Trading Global Clean Energy and Global Energy ETFs?
         
Min-Yuh Day, Yensen Ni, Chinning Hsu, and Paoyu Huang (2022)
         
Energies, Volume 15, Number 9, 3 May 2022, 3328, pp. 1-15. [doi] [SCIE] [Impact Factor@2022: 3.2, Q3, (78/115 = 67.8%, Energy & Fuels)]
       
         
Profitable day trading Bitcoin futures following continuous bullish (bearish) candlesticks
         
Min-Yuh Day, Pao-Yu Huang, Yirung Cheng, Yin-Tzu Lin, and Yensen Ni (2022)
         
Applied Economics Letters, Volume 29, Issue 10, May 2022, pp. 947-954. [doi] [SSCI] [Impact Factor@2022: 1.6, Q3, (236/380= 62.1%, Economics)]
       
         
Political Hate Speech Detection and Lexicon Building: A Study in Taiwan
         
Chih-Chien Wang, Min-Yuh Day, and Chun-Lian Wu (2022)
         
IEEE Access, Volume 10, 21 March, 2022, pp. 44337-44346. [doi] [SCIE] [Impact Factor@2022: 3.9, Q2, (72/158 = 45.6%, Computer Science, Information Systems)]
       
         
The Impact of Revenue Key Audit Matters on the Difference between Self-declared and Audited Revenue
         
Kuei-Hui Cheng, Min-Yuh Day, and Hsiao-Lun Lin (2021)
         
Taiwan Accounting Review, Volume 17, Number 2, December 2021, pp. 309-356. [doi] [TSSCI]
       
         
The profitability of Technical Trading for Hotel Stocks Under COVID-19 Pandemic
         
Yulu Liao, Min-Yuh Day, Yirung Cheng, Paoyu Huang, and Yensen Ni (2021)
         
Journal of Computers, Volume 32, Number 5, October 2021, pp. 44-54. [doi] [EI]
       
         
Does CBOE volatility index jumped or located at a higher level matter for evaluating DJ 30, NASDAQ, and S&P500 index subsequent performance
         
Yulu Liao, Min-Yuh Day, Yirung Cheng, Paoyu Huang, and Yensen Ni (2021)
         
Journal of Computers, Volume 32, Number 4, August 2021, pp. 57-66. [doi] [EI]
       
         
Trading Stocks Following Sharp Movements in the USDX, GBP/USD, and USD/CNY
         
Yensen Ni, Min-Yuh Day, and Paoyu Huang (2020)
         
Financial Innovation, Volume 6, 35, September 2020, pp. 1-17. [doi] [SSCI] [Impact Factor@2022: 8.4, Q1, (3/111 = 2.7%, Business, Finance); (1/53 = 1.9%, Social Science, Mathematical Methods)]
       
         
The profitability of Bollinger Bands: Evidence from the constituent stocks of Taiwan 50
         
Yensen Ni, Min-Yuh Day, Paoyu Huang, and Shang-Ru Yu (2020)
         
Physica A: Statistical Mechanics and its Applications, Volume 551, 1 August 2020, 124144, pp. 1-14. [doi] [SCIE] [Impact Factor@2022: 3.3, Q2, (31/85 = 36.4%, Physics, Multidisciplinary)]
       
         
Investing Strategies as Stochastic Oscillator Indicators Staying in Overreaction Zones for Consecutive Days with Big Data Concerns
         
Yensen Ni, Paoyu Huang, Yaochia Ku, Yiching Liao, and Min-Yuh Day (2020)
         
Journal of Computers, Volume 31, Number 1, February 2020, pp. 1-17. [doi] [EI]
       
         
Do sharp movements in oil prices matter for stock markets?
         
Yensen Ni, Manhwa Wu, Min-Yuh Day, and Paoyu Huang (2020)
         
Physica A: Statistical Mechanics and its Applications, Volume 539, 1 February 2020, pp. 1-11. [doi] [Impact Factor@2022: 3.3, Q2, (31/85 = 36.4%, Physics, Multidisciplinary)]
       
         
Trading as sharp movements in oil prices and technical trading signals emitted with big data concerns
         
Min-Yuh Day, Paoyu Huang, and Yensen Ni (2019)
         
Physica A: Statistical Mechanics and its Applications, Volume 525, 1 July 2019, pp. 349-372. [doi] [SCIE] [Impact Factor@2022: 3.3, Q2, (31/85 = 36.4%, Physics, Multidisciplinary)]
       
         
Does Data Frequency Matter for Trading Signals Emitted by Various Technical Trading Rules?
         
Yensen Ni, Min-Yuh Day, and Paoyu Huang (2019)
         
Pacific Business Review International, Volume 11, Issue 10, April 2019, pp. 7-17. [ESCI]
       
         
Investing Strategies as a Sharp Movement in Exchange Rates Occurred– Evidence for the Constituent Stocks of SSE 50 and TW 50
         
Min-Yuh Day, Manhwa Wu, Paoyu Huang, and Yensen Ni (2018)
         
The Journal of Investing, Volume 27, Issue 4, Winter 2018, pp. 58-68. [doi][ABI] [ESCI] [科技部財務領域B+級期刊]
       
         
Do Implicit Phenomena Matter? Evidence from China Stock Index Futures
         
Min-Yuh Day, Paoyu Huang, Yensen Ni, and Yuhsin Chen (2018)
         
The Journal of Alternative Investments, Volume 21, Issue 1, Summer 2018, pp. 79-91. [doi] [ABI] [Scopus] [ESCI] [科技部財務領域B級期刊]
       
         
Trading strategies in terms of continuous rising (falling) prices or continuous bullish (bearish) candlesticks emitted
         
Yensen Ni, Yirung Cheng, Paoyu Huang, and Min-Yuh Day (2018)
         
Physica A: Statistical Mechanics and its Applications, Volume 501, 1 July 2018, pp. 188-204. [doi] [SCIE][Impact Factor: 2.5, Q1, Statistics and Probability]
       
         
Do Intraday Large Price Changes Matter for Trading Index Futures? Evidence from China Futures Markets
         
Min-Yuh Day, Paoyu Huang, Yensen Ni, and Yuhsin Chen (2018)
         
Journal of Financial Studies, Volume 26, Number 2, June 2018, pp. 139-174. [doi] [TSSCI管理學門第一級核心期刊] [EconLit]
       
         
An Analysis of Research on Information Reuse and Integration (2003-2008)
         
Min-Yuh Day, Chorng-Shyong Ong, and Wen-Lian Hsu (2010)
         
International Transactions on Systems Science and Applications, Volume 6, Number 2/3, August 2010, pp. 146-157
       
         
The measurement of user satisfaction with question answering systems
         
Chorng-Shyong Ong, Min-Yuh Day and Wen-Lian Hsu (2009)
         
Information & Management, Volume 46, Issue 7, October 2009, pp. 397-403. [doi] [SSCI, SCI][(IF2009= 2.282)(INFORMATION SCIENCE & LIBRARY SCIENCE)(8/65 = 12.31%)]
       
         
A Supervised Learning Approach to Biological Question Answering
         
Ryan T. K. Lin, Justin Liang-Te Chiu, Hong-Jie Dai, Richard Tzong-Han Tsai, Min-Yuh Day, Wen-Lian Hsu (2009)
         
Integrated Computer-Aided Engineering, Volume 16, Issue 3, August 2009, pp. 271-281. [doi] [SCIE][(IF2009=2.042)(ENGINEERING, MULTIDISCIPLINARY)(7/79 = 8.86%)]
       
         
Boosting Chinese Question Answering with Two Lightweight Methods: ABSPs and SCO-QAT
         
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)
         
ACM Transactions on Asian Language Information Processing, Volume 7, Issue 4, November 2008, pp. 12:1-12:29. [doi] [EI]
       
         
Reference Metadata Extraction Using a Hierarchical Knowledge Representation Framework
         
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)
         
Decision Support Systems, Volume 43, Issue 1, February 2007, pp. 152-167. [doi] [SCIE] [(IF2009=2.622)(OPERATIONS RESEARCH & MANAGEMENT SCIENCE)(4/73 = 5.48%)]
       

Conference Publications

         
Multilingual Promise Verification in ESG Reports with Large Language Model Performance Evaluation
         
Wei-Chen Huang, Hsin-Ting Lu, Wen-Ze Chen, and Min-Yuh Day (2025)
         
The 37th Conference on Computational Linguistics and Speech Processing (ROCLING 2025), Taipei, Taiwan, November 20-22, 2025
       
         
ML-Promise: A Multilingual Dataset for Corporate Promise Verification
         
Yohei Seki, Hakusen Shu, Anaïs Lhuissier, Hanwool Lee, Juyeon Kang, Min-Yuh Day, and Chung-Chi Chen (2025)
         
In Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Suzhou, China, November 4-9, 2025
       
         
Fine-Tuning and Prompt-Based Methods for Temporal Reasoning in Multilingual Financial Texts
         
Bor-Jen Chen, Wen-Hsin Hsiao, Hsin-Ting Lu, and Min-Yuh Day (2025)
         
The 16th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS 2025), in Proceedings of the 2025 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2025), Niagara Falls, Ontario, Canada, August 25-28, 2025
       
         
Med-TAMARA: Trust-Aware Multi-Agent Risk Assessment in Medical AI Dialogue
         
Jun-Yu Wu and Min-Yuh Day (2025)
         
The 14th IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt (IEEE EM-RITE 2025), in Proceedings of the 26th IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2025), San Jose, CA, USA, August 6-8, 2025
       
         
From Silence to Voice: Using Personalized AI Language Models to Improve Quality of Life for People with Speech Impediments
         
Yu-An Lin, Chao-Yin Lin, Yue-Shan Chang, Chen-Yu Chiang, and Min-Yuh Day (2025)
         
The 14th IEEE International Workshop on Empirical Methods for Recognizing Inference in TExt (IEEE EM-RITE 2025), in Proceedings of the 26th IEEE International Conference on Information Reuse and Integration for Data Science (IEEE IRI 2025), San Jose, CA, USA, August 6-8, 2025
       
         
SemEval-2025 Task 6: Multinational, Multilingual, Multi-Industry Promise Verification
         
Yohei Seki, Hakusen Shu, Anaïs Lhuissier, Juyeon Kang, Hanwool Lee, Min-Yuh Day, and Hiroya Takamura (2025)
         
In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 2461–2471, Vienna, Austria. July 31 - August 1, 2025
       
         
Implementing an Inclusive Communication System with RAG-enhanced Multilingual and Multimodal Dialogue Capabilities
         
Cheng-Yun Wu, Bor-Jen Chen, Wen-Hsin Hsiao, Hsin-Ting Lu, Yue-Shan Chang, Chen-Yu Chiang, Chao-Yin Lin, Yu-An Lin and Min-Yuh Day (2025)
         
in Proceedings of the 2025 Taiwan Symposium On Cloud And Services Computing (TWSC2 2025), New Taipei City, Taiwan, July 3-4, 2025
       
         
IMNTPU at the NTCIR-18 FinArg-2: Fine-Tuning and Prompt-Based Learning for Temporal Argument Detection and Claim Validity Assessment
         
Bor-Jen Chen, Wen-Hsin Hsiao, Jun-Yu Wu, Cheng-Yun Wu and Min-Yuh Day (2025)
         
in Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-18), Tokyo, Japan, June 10-13, 2025
       
         
IMNTPU at NTCIR-18 MedNLP-CHAT Task: Evaluating Agentic AI for Multilingual Risk Assessment in Medical Chatbots
         
Jun-Yu Wu, Cheng-Yun Wu, Bor-Jen Chen, Wen-Hsin Hsiao and Min-Yuh Day (2025)
         
in Proceedings of the 18th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-18), Tokyo, Japan, June 10-13, 2025
       
         
Generative AI in Enhancing ESG Reporting: ESG Data Consistency and Annotation
         
Bor-Jen Chen and Min-Yuh Day (2025)
         
The 36th International Conference on Information Management (ICIM 2025), New Taipei City, Taiwan, May 16, 2025
       
         
Advanced RAG-Enhanced Generative AI Dialogue System for Enterprise Knowledge Sharing
         
Wen-Hsin Hsiao and Min-Yuh Day (2025)
         
The 36th International Conference on Information Management (ICIM 2025), New Taipei City, Taiwan, May 16, 2025
       
         
Multimodal Dialogue System for Chinese Taipei University Sports Federation
         
Cheng-Yun Wu, Yen-Chun Lin, and Min-Yuh Day (2025)
         
The 36th International Conference on Information Management (ICIM 2025), New Taipei City, Taiwan, May 16, 2025
       
         
Enhancing the Efficiency of ESG Reporting: The Role of Generative AI in Sustainability Disclosures
         
Ting-Chi Wang, Yu-Chun Cheng, Jun-Yu Wu, and Min-Yuh Day (2025)
         
The 36th International Conference on Information Management (ICIM 2025), New Taipei City, Taiwan, May 16, 2025
       
         
Developing Generative AI-driven ESG Report Generation System
         
Min-Yuh Day, Ting-Chi Wang, Yu-Chun Cheng, Jun-Yu Wu, Bor-Jen Chen (2025)
         
The 30th International Conference on IT Applications and Management (ITAM), Kathmandu, Nepal, February 12-16, 2025
       
         
Large Language Model and AI Agent System for Smart City: A Systematic Literature Review
         
Min-Yuh Day, Hsin-Ting Lu, Xu-You Lan, and Bor-Jen Chen (2024)
         
The 29th Workshop on Information Management & Practice (IMP 2024), Taipei, Taiwan, November 21, 2024
       
         
A Preliminary Study on Constructing Mandarin Personalized Speech Recognition Systems for the Speech Impaired
         
Jia-Jyu Su, Chen-Yu Chiang, Yue-Shan Chang, Chao-Yin Lin, Jiunn-Horng Kang, and Min-Yuh Day (2024)
         
In 2024 IEEE 14th International Symposium on Chinese Spoken Language Processing (ISCSLP 2024), Beijing, China, November 7-10, 2024
       
         
Generative AI in ESG Reporting: A Systematic Review
         
Jun-Yu Wu, Vidhya Nataraj, and Min-Yuh Day (2024)
         
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
       
         
Generative AI in Multimodal Cross-Lingual Dialogue System for Inclusive Communication Support
         
Vidhya Nataraj, Wen-Hsuan Liao, Yue-Shan Chang, Chen-Yu Chiang, Chao-Yin Lin, Yu-An Lin, and Min-Yuh Day (2024)
         
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. [EI]
       
         
Enhancing Multilingual ESG Impact Duration Classification with Transformer Language Models and Data Augmentation Strategies
         
Yu-Han Kao, Vidhya Nataraj, Hsiao-Chuan Liu, Wen- Hsuan Liao, Chia-Tung Tsai, and Min-Yuh Day (2024)
         
The 35th International Conference on Information Management (ICIM 2024), Taipei, Taiwan, June 23, 2024
       
         
IMNTPU at ML-ESG-3: Transformer Language Models for Multi-Lingual ESG Impact Type and Duration Classification
         
Yu Han Kao, Vidhya Nataraj, Ting-Chi Wang, Yu-Chun Cheng, Hsiao-Chuan Liu, Wen-Hsuan Liao, Chia-Tung Tsai, and Min-Yuh Day (2024)
         
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
       
         
Multi-Lingual ESG Impact Duration Inference
         
Chung-Chi Chen, Yu-Min Tseng, Juyeon Kang, Anaïs Lhuissier, Yohei Seki, Min-Yuh Day, Teng-Tsai Tu, and Hsin-Hsi Chen (2024)
         
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
       
         
IMNTPU at the NTCIR-17 FinArg-1: Financial Argument-Based Sentiment Analysis and Argumentative Relations Identification in Social Media
         
Chia-Tung Tsai, Wen-Hsuan Liao, Hsiao-Chuan Liu, Vidhya Nataraj, Tzu-Yu Liu, Mike Tian-Jian Jiang, and Min-Yuh Day (2023)
         
in Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-17), Tokyo, Japan, December 12-15, 2023
       
         
IMNTPU at the NTCIR-17 Real-MedNLP Task: Multi-Model Approach to Adverse Drug Event Detection from Social Media
         
Hsiao-Chuan Liu, Vidhya Nataraj, Chia-Tung Tsai, Wen-Hsuan Liao, Tzu-Yu Liu, Mike Tian-Jian Jiang, and Min-Yuh Day (2023)
         
in Proceedings of the 17th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-17), Tokyo, Japan, December 12-15, 2023
       
         
Comparative Analysis of Pre-trained and Large Language Models in Adverse Drug Event Detection from Twitter Content
         
Hsiao-Chuan Liu and Min-Yuh Day (2023)
         
The 28th International Conference on Information Management and Practice (IMP2023), Taipei, Taiwan, December 9, 2023
       
         
A Pilot Study on AI-Assisted Code Generation with Large Language Models for Software Engineering
         
Hsiao-Chuan Liu, Chia-Tung Tsai, and Min-Yuh Day (2023)
         
The 28th International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2023), Yulin, Taiwan, December 1-2, 2023. [Poster]
       
         
CMSI: Carbon Market Sentiment Index with AI Text Analytics
         
Min-Yuh Day and Chia-Tung Tsai (2023)
         
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. [EI]
       
         
CAITOD: Commerce AI Multimodal Cross-Language Task-Oriented Dialogue System
         
Wen-Hsuan Liao and Min-Yuh Day (2023)
         
TANET 2023, Taipei, Taiwan, November 1-3, 2023
       
         
A Large Language Model Approach to Financial Argument-Based Sentiment Analysis in Research Reports and Earnings Conference Calls
         
Chia-Tung Tsai and Min-Yuh Day (2023)
         
NCS 2023, Taipei, Taiwan, November 1-3, 2023
       
         
Multi-label Text Classification with Adervse Drug Event by Using Pre-trained Language Models and Large Language Models
         
Hsiao-Chuan Liu and Min-Yuh Day (2023)
         
NCS 2023, Taipei, Taiwan, November 1-3, 2023. [Poster]
       
         
Multi-Lingual ESG Impact Type Identification
         
Chung-Chi Chen, Yu-Min Tseng, Juyeon Kang, Anaïs Lhuissier, Yohei Seki, Min-Yuh Day, Teng-Tsai Tu, and Hsin-Hsi Chen (2023)
         
In Proceedings of the Sixth Workshop on Financial Technology and Natural Language Processing (FinNLP'23), (IJCNLP-AACL-2023), Bali, Indonesia, November 1, 2023, pp. 46-50. 2023
       
         
Multi-Lingual ESG Issue Identification
         
Chung-Chi Chen, Yu-Min Tseng, Juyeon Kang, Anaïs Lhuissier, Min-Yuh Day, Teng-Tsai Tu, and Hsin-Hsi Chen (2023)
         
in Proceedings of the Fifth Workshop on Financial Technology and Natural Language Processing and the Second Multimodal AI For Financial Forecasting (FinNLP'23), (IJCAI-2023), Macao, China, August 20, 2023, pp. 111-115
       
         
Speech‐to‐speech Low‐resource Translation
         
Hsiao-Chuan Liu, Min-Yuh Day, and Chih-Chien Wang (2023)
         
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. [EI]
       
         
Text Mining with Information Extraction for Chinese Financial Knowledge Graph
         
Yung-Wei Teng, Min-Yuh Day, and Pei-Tz Chiu (2022)
         
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. [EI]
       
         
Developing Relation Types of Cryptocurrency Anti-Money Laundering Knowledge Graph
         
Min-Yuh Day, Pei-Tz Chiu, Yung-Wei Teng, and Chao-Lin Liu (2022)
         
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. [EI]
       
         
IMNTPU at the NTCIR-16 FinNum-3 Task: Data augmentation for financial Numclaim classification
         
Yung-Wei Teng, Pei-Tz Chiu, Ting-Yun Hsiao, Mike Tian-Jian Jiang, and Min-Yuh Day (2022)
         
in Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-16), Tokyo Japan, June 14-17, 2022. [Paper] [Poster] [Slide]
       
         
IMNTPU Dialogue System Evaluation at the NTCIR-16 DialEval-2 Dialogue Quality and Nugget Detection
         
Ting-Yun Hsiao, Yung-Wei Teng, Pei-Tz Chiu, Mike Tian-Jian Jiang, and Min-Yuh Day (2022)
         
in Proceedings of the 16th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-16), Tokyo Japan, June 14-17, 2022. [Paper] [Poster] [Slide]
       
         
Artificial Intelligence for Knowledge Graphs of Cryptocurrency Anti-money Laundering in Fintech
         
Min-Yuh Day (2021)
         
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. [EI]
       
         
AI Customer Service System with Pre-trained Language and Response Ranking Models for University Admissions
         
Min-Yuh Day and Sheng-Ru Shaw (2021)
         
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. [EI]
       
         
Exploring impacts of project leaders’ written expressions in virtual and fluid projects: The role of personality and emotion
         
Yi-Te Chiu, Min-Yuh Day, Anton Raymond, Shih-Hsiang Dai, Mohammad Saud Khan, Tsai Chun, Houn-Gee Chen, and Chun-Hao Wang (2020)
         
in Proceedings of the International Research Workshop on IT Project Management 2020 (IRWITPM 2020), Virtual, December 12, 2020
       
         
Fine-tuning technique and data augmentation on transformer-based models for conversational texts and noisy user-generational content
         
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)
         
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. [EI]
       
         
IMTKU Multi-Turn Dialogue System Evaluation at the NTCIR-15 DialEval-1 Dialogue Quality and Nugget Detection
         
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)
         
in Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-15), Tokyo Japan, December 8-11, 2020
       
         
A Study of Deep Learning for Factoid Question Answering System
         
Min-Yuh Day and Yu-Ling Kuo (2020)
         
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, pp. 68-74. [EI]
       
         
Artificial Intelligence for ETF Market Prediction and Portfolio Optimization
         
Min-Yuh Day and Jian-Ting Lin (2019)
         
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. [EI]
       
         
AI Affective Conversational Robot with Hybrid Generative-based and Retrieval-based Dialogue Models
         
Min-Yuh Day and Chi-Sheng Hung (2019)
         
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. [EI]
       
         
IMTKU Emotional Dialogue System for Short Text Conversation at NTCIR-14 STC-3 (CECG) Task
         
Min-Yuh Day, Chi-Sheng Hung, Yi-Jun Xie, Jhih-Yi Chen, Yu-Ling Kuo and Jian-Ting Lin (2019)
         
The 14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14), Tokyo, Japan, June 10-13, 2019. [Paper] [Poster] [Slide]
       
         
AI-NTPU Emotional Chatting Machine at the NTCIR-14 STC-3 CECG Task
         
Chih-Chien Wang, Min-Yuh Day, Wei-Jin Gao, Yen-Cheng Chiu and Chun-Lian Wu (2019)
         
The 14th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-14), Tokyo, Japan, June 10-13, 2019
       
         
AI Robo-Advisor with Big Data Analytics for Financial Services
         
Min-Yuh Day,Tun-Kung Cheng and Jheng-Gang Li (2018)
         
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. [EI]
       
         
Artificial Intelligence for Conversational Robo-Advisor
         
Min-Yuh Day, Jian-Ting Lin and Yuan-Chih Chen (2018)
         
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. [EI]
       
         
Artificial Intelligence for Automatic Text Summarization
         
Min-Yuh Day and Chao-Yu Chen (2018)
         
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. [EI]
       
         
Detecting Spamming Reviews Using Long Short-term Memory Recurrent Neural Network Framework
         
Chih-Chien Wang, Min-Yuh Day, Chien-Chang Chen, Jia-Wei Liou (2018)
         
2018 2nd International Conference on E-commerce, E-Business and E-Government (ICEEG 2018), Hong Kong, China, June 13-15, 2018. [EI]
       
         
Artificial Intelligence for Time Series Forecasting in Financial Markets
         
Min-Yuh Day, Tun-Kung Cheng and Jheng-Gang Li (2018)
         
International Conference on INTERNET STUDIES (NETs 2018), Takamatsu, Japan, April 2-4, 2018
       
         
IMTKU Question Answering System for World History Exams at NTCIR-13 QA Lab-3
         
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)
         
The 13th NTCIR Conference on Evaluation of Information Access Technologies (NTCIR-13), Tokyo, Japan, December 5-8, 2017. [Paper] [Poster] [Slide]
       
         
Deep Learning for Sentiment Analysis on Google Play Consumer Review
         
Min-Yuh Day and Yue-Da Lin (2017)
         
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. [EI]
       
         
A Study of Deep Learning to Sentiment Analysis on Word of Mouth of Smart Bracelet
         
Min-Yuh Day and Hung-Chou Teng (2017)
         
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. [EI]
       
         
Temporal and Sentimental Analysis of A Real Case of Fake Reviews in Taiwan
         
Chih-Chien Wang, Min-Yuh Day, Chien-Chang Chen and Jai-Wei Liou (2016)
         
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. [EI]
       
         
Deep Learning for Financial Sentiment Analysis on Finance News Providers
         
Min-Yuh Day and Chia-Chou Lee (2016)
         
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. [EI]
       
         
The Effect of Customer Perceived Value on Relationship Quality Between Illustrator and Fans to Recommendation on Facebook
         
Min-Yuh Day and Wei-Chun Chuang (2016)
         
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. [EI]
       
         
Toward Understanding the Cliques of Opinion Spammers with Social Network Analysis
         
Chih-Chien Wang, Min-Yuh Day and Yu-Ruei Lin (2016)
         
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. [EI]
       
         
Developing Four Stars Election Open Data in RDF: Evidence from Taiwan Election Open Data Project
         
Ching-Yuan Chien, Chia-Hsin Hung, Min-Yuh Day, Yuh-Tay Lin, Chu-Yin Yang (2016)
         
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. [EI]
       
         
A Study on Machine Learning for Imbalanced Datasets with Answer Validation of Question Answering
         
Min-Yuh Day and Cheng-Chia Tsai (2016)
         
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. [EI]
       
         
A Real Case Analytics on Social Network of Opinion Spammers
         
Chih-Chien Wang, Min-Yuh Day and Yu-Ruei Lin (2016)
         
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. [EI]
       
         
IMTKU Question Answering System for World History Exams at NTCIR-12 QA Lab2
         
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)
         
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]
       
         
Do Intraday Jump Phenomena Matter for Trading Index Futures? Evidence from China Futures Markets
         
Min-Yuh Day, Paoyu Huang, Yensen Ni, Yuhsin Chen (2016)
         
2016 International Conference of Taiwan Finance Association (ICTFA 2016), New Taipei City, Taiwan, May 27-28, 2016
       
         
Machine Learning for Imbalanced Datasets of Recognizing Inference in Text with Linguistic Phenomena
         
Min-Yuh Day and Cheng-Chia Tsai (2015)
         
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. [EI]
       
         
IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-11 RITE-VAL
         
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)
         
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]
       
         
Analysis of Identifying Linguistic Phenomena for Recognizing Inference in Text
         
Min-Yuh Day and Ya-Jung Wang (2014)
         
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. [EI]
       
         
Chinese Textual Entailment with Wordnet Semantic and Dependency Syntactic Analysis
         
Chun Tu and Min-Yuh Day (2013)
         
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. [EI]
       
         
A Comparative Study of Data Mining Techniques for Credit Scoring in Banking
         
Shih-Chen Huang and Min-Yuh Day (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. 684-691. [EI]
       
         
IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-10 RITE2
         
Min-Yuh Day, Chun Tu, Shih-Jhen Huang, Hou-Cheng Vong, Shih-Wei Wu (2013)
         
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]
       
         
A Statistical Approach with Syntactic and Semantic Features for Chinese Textual Entailment
         
Chun Tu, Min-Yuh Day (2012)
         
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. [EI]
       
         
IMTKU Textual Entailment System for Recognizing Inference in Text at NTCIR-9 RITE
         
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)
         
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]
       
         
Social Network Analysis of Research Collaboration in Information Reuse and Integration
         
Min-Yuh Day, Sheng-Pao Shih, Weide Chang (2011)
         
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. [EI]
       
         
An Empirical Comparative Study of Manual Rule-Based and Statistical Question Classifiers on Heterogeneous Unseen Data
         
Cheng-Wei Lee, Min-Yuh Day, Wen-Lian Hsu (2010)
         
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. [EI] [DBLP]
       
         
An Integrated Evaluation Model of User Satisfaction with Social Media Services
         
Chorng-Shyong Ong and Min-Yuh Day (2010)
         
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. [Acceptance Rate= 33.9%][EI, DBLP]
       
         
An Analysis of Research on Information Reuse and Integration
         
Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu (2009)
         
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. [EI, DBLP]
       
         
Development of an Evaluation Model for Question Answering Systems
         
Chorng-Shyong Ong, Min-Yuh Day, Wen-Lian Hsu (2008)
         
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. [EI]
       
         
Biological Question Answering with Syntactic and Semantic Feature Matching and an Improved Mean Reciprocal Ranking Measurement
         
Ryan T.K. Lin, Justin Liang-Te Chiu, Hong-Jei Dai, Min-Yuh Day, Richard Tzong-Han Tsai, Wen-Lian Hsu (2008)
         
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. [EI]
       
         
Result Identification for Biomedical Abstracts Using Conditional Random Fields
         
Ryan T.K. Lin, Hong-Jei Dai, Yue-Yang Bow, Min-Yuh Day, Richard Tzong-Han Tsai, Wen-Lian Hsu (2008)
         
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. [EI]
       
         
User-Centered Evaluation of Question Answering Systems
         
Chorng-Shyong Ong, Min-Yuh Day, Kuo-Tay Chen, Wen-Lian Hsu (2008)
         
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) [EI]
       
         
A Template Alignment Algorithm for Question Classification
         
Cheng-Lung Sung, Min-Yuh Day, Hsu-Chun Yen , Wen-Lian Hsu (2008)
         
in Proceedings of the IEEE International Conference on Intelligence and Security Informatics (IEEE ISI 2008), Taipei, Taiwan, June 17-20, 2008, pp. 197-199. [EI]
       
         
Using “Cited by” Information to Find the Context of Research Papers
         
Chun-Hung Lu, Chih-Chien Wang, Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu
         
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. [EI]
       
         
Question Classification in English-Chinese Cross-Language Question Answering: An Integrated Genetic Algorithm and Machine Learning Approach
         
Min-Yuh Day, Chun-Hung Lu, Chorng-Shyong Ong, Shih-Hung Wu, Wen-Lian Hsu (2007)
         
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. [EI]
       
         
BESearch: A Supervised Learning Approach to Search for Molecular Event Participants
         
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)
         
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. [EI]
       
         
Chinese-Chinese and English-Chinese Question Answering with ASQA at NTCIR-6 CLQA
         
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)
         
in Proceedings of NTCIR-6 Workshop Meeting, Tokyo, Japan, May 15-18, 2007, pp. 175-181
       
         
Integrating Genetic Algorithms with Conditional Random Fields to Enhance Question Informer Prediction
         
Min-Yuh Day, Chun-Hung Lu, Chorng-Shyong Ong, Shih-Hung Wu, Wen-Lian Hsu (2006)
         
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. [EI]
       
         
Chinese Word Segmentation with Minimal Linguistic Knowledge: An Improved Conditional Random Fields Coupled with Character Clustering and Automatically Discovered Template Matching
         
Richard Tzong-Han Tsai, Hong-Jie Dai, Hsieh-Chuan Hung, Cheng-Lung Sung, Min-Yuh Day, and Wen-Lian Hsu (2006)
         
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
       
         
Designing a Tutoring Agent for Facilitating Collaborative Learning with Instant Messaging
         
Sheng-Cheng Hsu, Min-Yuh Day, Shih-Hung Wu, Wing-Kwong Wong, Wen-Lian Hsu (2006)
         
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)
       
         
Using Instant Messaging to Provide an Intelligent Learning Environment
         
Chun-Hung Lu, Guey-Fa Chiou, Min-Yuh Day, Chorng-Shyong Ong, Wen-Lian Hsu (2006)
         
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. [EI]
       
         
ASQA: Academia Sinica Question Answering System for NTCIR-5 CLQA
         
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)
         
in Proceedings of NTCIR-5 Workshop Meeting, Tokyo, Japan, December 6-9, 2005, pp. 202-208
       
         
Perspectives on Chinese Question Answering Systems
         
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)
         
in Proceedings of the Workshop on the Sciences of the Artificial (WSA 2005), Hualien, Taiwan, December 7-8, 2005, pp. 113-128. [EI]
       
         
An Integrated Knowledge-based and Machine Learning Approach for Chinese Question Classification
         
Min-Yuh Day, Cheng-Wei Lee, Shih-Hung Wu, Chorng-Shyong Ong, Wen-Lian Hsu (2005)
         
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. [EI]
       
         
A Knowledge-based Approach to Citation Extraction
         
Min-Yuh Day, Tzong-Han Tsai, Cheng-Lung Sung, Cheng-Wei Lee, Shih-Hung Wu, Chorng-Shyong Ong, Wen-Lian Hsu (2005)
         
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. [EI]
       
         
Designing an Ontology-based Intelligent Tutoring Agent with Instant Messaging
         
Min-Yuh Day, Chun-Hung Lu, Jin-Tan David Yang, Guey-Fa Chiou, Chorng-Shyong Ong, Wen-Lian Hsu (2005)
         
in Proceedings of the IEEE International Conference on Advanced Learning Technologies (ICALT 2005), Kaohsiung, Taiwan, July 5-8, 2005, pp. 318-320. [EI]
       
         
FAQ-centered Organizational Memory
         
Shih-Hung Wu, Min-Yuh Day, Tzong-Han Tsai and Wen-Lian Hsu. (2002)
         
in Nada Matta and Rose Dieng-Kuntz (ed.), Knowledge Management and Organizational Memories, Kluwer Academic Publishers, Boston, pp.103-112, 2002
       
         
FAQ-centered Organizational Memory
         
Shih-Hung Wu, Min-Yuh Day and Wen-Lian Hsu (2001)
         
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. [EI]
       

Research Projects

Generative AI Multi-Agent Systems with LLM-Based RAG for ESG Reporting Automation
Principal Investigator: Min-Yuh Day
NSTC 114-2221-E-305-002-, 2025-2026
Innovative Agentic AI Technology for Autonomous ESG Report Generation
Principal Investigator: Min-Yuh Day
Industrial Technology Research Institute (ITRI), Fintech and Green Finance Center (FGFC, NTPU), NTPU-114A513E01, 2025
Development of a Deep Learning for Dental Implant Detection in Panoramic Radiographs
Principal Investigator: Min-Yuh Day
University System of Taipei Joint Research Program (NTPU, TMU), USTP-NTPU-TMU-114-02, 2025/01/01~2025/12/31
Digital Support, Unimpeded Communication: The Development, Support and Promotion of AI-assisted Communication Assistive Devices for Speech Impairment
Principal Investigator: Min-Yuh Day
NSTC 113-2425-H-305-003-, 2023-2026
Multimodal Cross-lingual Task-Oriented Dialogue System for Inclusive Communication Support
Principal Investigator: Min-Yuh Day
NTPU 114-NTPU_ORDA-F-004, 2023-2025
Metaverse AI Multimodal Cross-Language Task-Oriented Dialogue System
Principal Investigator: Min-Yuh Day
ATEC Group, Fintech and Green Finance Center, 2023-2026
Carbon Market Sentiment Index with AI Text Analytics
Principal Investigator: Min-Yuh Day
NTPU 113-NTPU_ORDA-F-003, 2023-2024
Generative AI-Driven ESG Report Generation Technology
Principal Investigator: Min-Yuh Day
Industrial Technology Research Institute (ITRI), 2024
Prospective longitudinal study on peri-implant bone loss associated with peri-implantitis
Principal Investigator: Min-Yuh Day
University System of Taipei Joint Research Program (NTPU, TMU),USTP-NTPU-TMU-113-03, 2024/01/01~2024/12/31
Large Language Model Agent System for Smart City
Co-Principal Investigator: Min-Yuh Day
Institute for Information Industry (III),(NTPU),NTPU-113, 2024/06/11~2024/12/16
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)
Co-Principal Investigator: Min-Yuh Day
NSTC(Department of Natural Sciences - Research Field: M5102 Cross-disciplinary Research for Societal Needs),112-2627-M-038-001-, 2023/08/01~2024/07/31
Fintech Green Finance for Carbon Market Index, Corporate Finance, and Environmental Policies:Carbon Emission Sentiment Index with AI Text Analytics
Principal Investigator: Min-Yuh Day
NTPU,112-NTPU_ORDA-F-003, 1st Year:2023/01/01~2023/12/31
Research on speech processing, synthesis, recognition, and sentence construction of people with language disabilities:Multimodal Cross-lingual Task-Oriented Dialogue System
Principal Investigator: Min-Yuh Day
NTPU,112-NTPU_ORDA-F-004, 1st Year:2023/01/01~2023/12/31
Use deep learning to identify commercially dental implant systems - observational study
Principal Investigator: Min-Yuh Day
University System of Taipei Joint Research Program (NTPU, TMU),USTP-NTPU-TMU-112-01, 2023/01/01~2023/12/31
Pilot Study on Universal Data Processing for Code Generation Engine
Principal Investigator: Min-Yuh Day
Institute for Information Industry (III) (FGFC, NTPU),NTPU-112A513E01, 2023/08/01~2023/12/22
Metaverse Avatar Automatic Metadata Generation Module
Principal Investigator: Min-Yuh Day
(FormosaVerse) (FGFC, NTPU),NTPU-111A413E01, 2022/12/01~2023/11/30
Applying AI technology to construct knowledge graphs of cryptocurrency anti-money laundering: a few-shot learning model
Principal Investigator: Min-Yuh Day
NSTC (Department of Humanities and Social Sciences - Research Field: Business and Financial Law),110-2410-H-305-013-MY2, 2021/08/01~2023/07/31
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
Co-Principal Investigator: Min-Yuh Day
NSTC (Department of Natural Sciences - Research Field: M5102 Cross-disciplinary Research for Societal Needs),111-2627-M-038-001-, 2022/08/01~2023/07/31
Deepen Corporate Sustainability: Enhance the Performance of Corporate Sustainability from AI, Financial, and Strategic Perspectives:AI for Corporate Sustainability Assessment and Cross Language Corporate Sustainability Reports Generative Model
Co-Principal Investigator: Min-Yuh Day
NTPU,111-NTPU_ORDA-F-001, 2022/01/01~2022/12/31
Artificial intelligence methods applied for analyzing the introduction of technological innovation: Patent text analysis and image analysis:Artificial Intelligence for FinTech Knowledge Graph from Patent Textual Analytics
Principal Investigator: Min-Yuh Day
NTPU,111-NTPU_ORDA-F-003, 2022/01/01~2022/12/31
Corporate Sustainability: Motivations, Value Relevance, and the Application of AI in the Assessment:An application of artificial intelligence (AI) in the corporate sustainability assessment
Co-Principal Investigator: Min-Yuh Day
NTPU,110-NTPU_ORDA-F-001, 2021/01/01~2021/12/31
Implementation of Suicidal Ideation, Risk Analytics, and Data Visual Representation (Isuiradar) – Application of Artificial Intelligence Techniques on Social Media Contexts
Co-Principal Investigator: Min-Yuh Day
NSTC (Research Field: Bioinformatics and Medical Informatics),MOST 109-2637-E-227-001-, 2020/08/01~2021/07/31
Detecting Hate Speech and Analyzing Brand Hate Behavior: Corpus Development, Artificial Intelligence Detection, and Consumers' Boycott Behavior Analysis
Co-Principal Investigator: Min-Yuh Day
NSTC (Research Field: Information Systems),MOST 109-2410-H-305-029-, 2020/08/01~2021/07/31
Fake News in Social Media: Circulation, Influence Factors, and Automatic Detection Based on Artificial Intelligence
Co-Principal Investigator: Min-Yuh Day
NSTC (Research Field: Electronic Commerce),MOST 107-2410-H-305-036-MY2, 2018/08/01~2020/07/31
Sentiment Analysis of Social Media Based on Identity Identification - Example of Breast Cancer Screening
Co-Principal Investigator: Min-Yuh Day
NSTC (Research Field: Bioinformatics and Medical Informatics),MOST 106-2221-E-227-002-, 2017/08/01~2018/07/31
Opinioning Spamming, Fake Reviewers, and Fake Reviewer Groups: Detection Approaches Development and Consumers' Attitude Investigation
Co-Principal Investigator: Min-Yuh Day
NSTC (Research Field: Electronic Commerce),MOST 105-2410-H-305-065-MY2, 2016/08/01~2018/07/31
Visual analytics of R&D inputs and outputs performance - a case study of telecare domain
Co-Principal Investigator: Min-Yuh Day
NSTC (Research Field: Big Data Application Research - Government Application Issues (Technology Foresight)),MOST 105-2634-F-227-001-, 2016/09/01~2017/08/31
Planning a Development Blueprint for Data Services in Taiwan
Principal Investigator: Min-Yuh Day
(MOEAIDB),(ITRI), 2016/08/01~2017/07/31
The Study on the Communication of Nuclear Power Issue and Public Deliberation (2/3)
Co-Principal Investigator: Min-Yuh Day
NSTC (Program/Sub-project: Energy Technology Sub-project - Nuclear Engineering),NSC 101-3113-P-032-001-, 2012/01/01-2013/03/31
A Study of Integrated Vertical Search Engine Focused on Global Trade Show Exhibition for Small and Medium Enterprises (SMEs)
Co-Principal Investigator: Min-Yuh Day
(TKU), 2011/8/1-2012/8/31
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
Post Doctor: Min-Yuh Day
Academia Sinica,NSTC,NSC97-2628-M001-020-MY3, 2010/08-2011/01
The Development of User Satisfaction Evaluation Models of Question Answering Systems
Research Assistant: Min-Yuh Day
NSTC,NSC95-2416-H-002-047, 2006/08/01-2007/10/31
   
(4/4) (Content Science for a Media-Rich Life, Content Semantics)
   
Research Assistant: Min-Yuh Day
   
NSC96-2752-E-001-001-PAE, 2007/04 - 2008/09
   
(3/4) (Content Science for a Media-Rich Life, Content Semantics)
   
Research Assistant: Min-Yuh Day
   
NSC95-2752-E-001-001-PAE, 2006/04 – 2007/08
   
(2/4) (Content Science for a Media-Rich Life, Content Semantics)
   
Research Assistant: Min-Yuh Day
   
NSC94-2752-E-001-001-PAE, 2005/04 – 2006/06
   
(1/4) (Content Science for a Media-Rich Life, Content Semantics)
   
Research Assistant: Min-Yuh Day
   
NSC93-2752-E-001-001-PAE, 2004/04 – 2005/06

Contact Us

📍 Address

IFIT Laboratory

Graduate Institute of Information Management

National Taipei University

151, University Rd., San Shia District

New Taipei City, 23741 Taiwan

📧 Contact Info

Email: [email protected]

Phone: +886-2-8674-1111 ext. 66873

IFIT NTPU: https://ifitntpu.github.io/

AI FIT ESG: https://www.aifitesg.org/