Potrait
Hsin-Min Lu
盧信銘
Professor
Department of Information Management
National Taiwan University

Room 509, Management Building II
No.1, Sec. 4, Roosevelt Rd.,
Taipei City 106, Taiwan
Tel: +886-2-3366-1184
Fax: +886-2-3366-1199
Email: luim[at]ntu.edu.tw

ACADEMIC DEGREES

  • Ph.D. Management Information Systems, University of Arizona, 2010
  • MA Economics, National Taiwan University, 2002
  • Bachelor of Business Administration, National Taiwan University, 1998
RESEARCH INTERESTS
  • Business Analytics
  • Machine Learning
  • Health Informatics
  • Applied Econometrics
PROFESSIONAL EXPERIENCE
  • Chainman, Department of Information Management, National Taiwan University (2024/8 - Now)
  • Deputy Director, Taiwan Semiconductor Manufacturing Company (TSMC) (2023/10 - 2024/7)
  • Professor, Department of Information Management, National Taiwan University (2021/8 - Now)
  • Associate Professor, Department of Information Management, National Taiwan University (2015/8 - 2021/7)
  • Assistant Professor, Department of Information Management, National Taiwan University (2010/8 - 2015/7)
JOURNAL ARTICLES
  1. Hsin-Min Lu, Jih-Shin Chen, and Wei-Chun Liao (2021, June). Nonparametric Regression via Variance-Adjusted Gradient Boosting Gaussian Process Regression. IEEE Transactions on Knowledge and Data Engineering, vol. 33, Issue 6, pp.2669-2679.
  2. Fu-Hsien Huang, Hsin-Min Lu, and Yao-Wen Hsu, (2021, March). From Street Photos to Fashion Trends: Leveraging User-Provided Noisy Labels for Fashion Understanding, IEEE Access, Vol. 9, pp. 49189-49205. Download Dataset.
  3. John L. Campbell, Hye Seung "Grace" Lee, Hsin-Min Lu, and Logan B. Steele (2020, June). Express Yourself: Why Managers' Disclosure Tone Varies Across Time and What Investors Learn From It. Contemporary Accounting Research. Vol. 37, Issue 2, pp. 1140-1171.
  4. Feng-Tse Tsai, Hsin-Min Lu, and Mao-Wei Hung (2016, July). The Impact of News Articles and Corporate Disclosure on Credit Risk Valuation. Journal of Banking and Finance, vol 68, pp. 100-116.
  5. Hsin-Min Lu, Chih-Ping Wei, and Fei-Yuan Hsiao (2016, April), Modeling Healthcare Data Using Multiple-Channel Latent Dirichlet Allocation. Journal of Biomedical Informatics. vol. 60, pp. 210-223.
  6. Hung-Lin Chen, Li-Jiuan Shen, Chih-Ping Wei, Hsin-Min Lu, Fei-Yuan Hsiao (2015, Oct). Decision to adopt medical technology under the National Health Insurance System in Taiwan: case study of new molecular targeted drugs among non-small cell lung cancer patients. Journal of Evaluation in Clinical Practice.
  7. Hsin-Min Lu and Chien-Hua Lee (2015, May), A Twitter Hashtag Recommendation Model that Accommodates for Temporal Clustering Effects. IEEE Intelligent Systems, Vol. 30, Issue 3, pp. 18-25.
  8. Yu-Tai Chien and Hsin-Min Lu (2015, April), Firm Websites and the Risk of Firm. Industrial Management & Data Systems, Vol. 115, Issue 3, pp. 504 - 520.
  9. Hsin-Min Lu (2015, Feb), Detecting Short-Term Cyclical Topic Dynamics in the News and User-Generated Content, Decision Support Systems, Vol. 70. pp. 1-14.
  10. John L. Campbell, Hsinchun Chen, Dan S. Dhaliwal, Hsin-Min Lu, and Logan B. Steele (2014, March), The Information Content of Mandatory Risk Factor Disclosures in Corporate Filings, Review of Accounting Studies, vol. 19, issue 1.
  11. Hsin-Min Lu, Feng-Tse Tsai, Hsinchun Chen, Mao-Wei Hung, and Shu-Hsing Li (2012, Oct), Credit Rating Change Modeling Using News and Financial Ratios, ACM Transactions on Management Information Systems, Vol. 3, Number 3.
  12. Hsinchun Chen, Edward Chun-Neng Huang, Hsin-Min Lu, and Shu-Hsing Li (2011, Nov), AZ SmartStock: Stock Prediction with Targeted Sentiment and Life Support, IEEE Intelligent Systems, Vol. 26, Issue 6, Pages 84-88. (appeared in Trends and Controversies)
  13. Yu-Kai Lin, Randall A. Brown, Hung Jen Yang, Shu-Hsing Li, Hsin-Min Lu, and Hsinchun Chen (2011, Sep), Data Mining Large-Scale Electronic Health Records for Clinical Support, IEEE Intelligent Systems, Vol. 26, Issue 5, Pages 87-90 (SCI). (appeared in Trends and Controversaies)
  14. Kuo-Tay Chen, Hsin-Min Lu, Tsai-Jyh Chen, Shu-Hsing Li, Jian-Shuen Lian, and Hsinchun Chen (2011, March), Giving Context to Accounting Numbers: The Role of News Coverage, Decision Support Systems, Vol.50, No.4, Pages 673-679.
  15. Hsin-Min Lu, Daniel Zeng, and Hsinchun Chen (2010, May), Prospective Infectious Disease Outbreak Detection Using Markov Switching Models, IEEE Transactions on Knowledge and Data Engineering, v.22, no. 4, 565-577.
  16. Hsin-Min Lu, Hsinchun Chen, Tsai-Jyh Chen, Mao-Wei Hung, and Shu-Hsing Li (2010), Financial Text Mining: Supporting Decision Making Using Web 2.0 Content, IEEE Intelligent Systems, Vol.25, No.2, Pages 78-82. (appeared in Business and Market Intelligence 2.0, Part 2)
  17. Hsin-Min Lu, Hsinchun Chen, Daniel Zeng, CC King, FY Shih, TS Wu, JY Hsiao  (2009) Multilingual Chief Complaint Classification for Syndromic Surveillance: An Experiment on Chinese Chief Complaint, International Journal of Medical Informatics, v. 78, issue 5, 308-320.
  18. Hsin-Min Lu, Daniel Zeng, Lea Trujillo, Ken Komatsu, and Hsinchun Chen  (2008) Ontology-enhanced Automatic Chief Complaints Classification for Syndromic Surveillance, Journal of Biomedical Informatics, v. 41, issue 2, 340-356.
  19. Jow-Ran Chang, Mao-Wei Hung, Cheng-few Lee, and Hsin-Min Lu (2007) The Jump Behavior of Foreign Exchange Market: Analysis of Thai Baht, Review of Pacific Basin Financial Markets and Policies, v. 10, no. 2, 265-288.
  20. Chia-Shang J. Chu and Hsin-Min Lu (2006) Random Walk Hypothesis in Exchange Rate Reconsidered, Journal of Forecasting, v 25, no. 4, 275-290.
BOOK CHAPTERS
  1. J.-R. Chang, Mao-Wei Hung, C.-F. Lee, and Hsin-Min Lu, 2020, The Jump Behavior of a Foreign Exchange Market: Analysis of the Thai Baht. In: Cheng Few Lee and John C Lee (eds) Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning. World Scientific.
  2. Hsin-Min Lu, Yu-Ching Chang, 2017, Mining Disease Transmission Networks from Health Insurance Claims. In: Chen H., Zeng D., Karahanna E., Bardhan I. (eds) Smart Health. International Conference on Smart Health 2017. Lecture Notes in Computer Science, vol 10347, Springer.
  3. Hsin-Min Lu, Daneil Zeng, and Hsinchun Chen, (2009). “Markov Switching-Based Outbreak Detection,” in Biosurveillance and Infectious Disease Informatics, Springer.
  4. Hsin-Min Lu, Daneil Zeng, and Hsinchun Chen, (2009). “Chief Complaint and Syndrome Mapping,” in Biosurveillance and Infectious Disease Informatics, Springer.
  5. Hsin-Min Lu, Nina WanHsin Huang, Zhu Zhang and Tsai-Jyh Chen (2009), “Identifying Firm-Specific Risk Statements in News Articles,” Intelligence and Security Informatics, Springer Lecture Notes in Computer Science No. 5477.
  6. Hsin-Min Lu, Chwan-Chuen King, Tsung-Shu Wu, Fuh-Yuan Shin, Jin-Yi Hsiao, Daniel Zeng, and Hsinchun Chen, (2007). “Chinese Chief Complaint Classification for Syndromic Surveillance,” in Intelligence and Security Informatics: BioSurveillance, edited by Zeng, D., Gotham, I., Komatsu, K., Lynch, C., Thurmond, M., Madigan, D., Lober, B., Kvach, J., and Chen, H., Springer Lecture Notes in Computer Science, No. 4506.
REFERRED CONFERENCE PUBLICATIONS
  1. Fu-Hsien Huang, Hsin-Min Lu, Yu-Hsuan Chuang, Chi Ai Wu, 2024, "Noise-Robust Readability for Corporate Disclosures," Pacific-Asia Conference on Information Systems, Hi Chi Minh City, Vietnam.
  2. Hsin-Min Lu, Yu-Ching Chang, 2017, Mining Disease Transmission Networks from Health Insurance Claims, International Conference on Smart Health, Hong Kong.
  3. Hsin-Min Lu, Caroline Joutee Sun, Mao-Wei Hung, and Yu-Jane Liu, 2014, "The Effect of News Coverage on the Market Reactions of Merger and Acquisition Events," Management Theory and Practice Conference, Kitakyushu, Japan.
  4. Hsin-Min Lu, 2013, “Wordnet-enhanced Topic Models,” Mining Data Semantics in Heterogeneous Information Networks Workshop (MDS’2013; in conjunction with ACM SIGKDD Conference on Knowledge Discovery and Data Mining), Chicago, Illinois.
  5. Hsin-Min Lu, 2012, “Context-Dependent Topic Modeling Using Multinomial Probit Random Effect Regression (MPR)” Pre-ICIS Business Intelligence Congress III, Orlando, FL.
  6. Hsin-Min Lu and Yu-Tai Chien, 2012, “Firm Website and Cost of Equity” Pacific Asia Conference on Information Systems (PACIS).
  7. Feng-Tse Tsai, Hsin-Min Lu, and Mai-Wei Hung (2010), “The Effects of News Sentiment and Coverage on Credit Rating Analysis,” Pacific Asia Conference on Information Systems (PACIS) 2010, Taipei, Taiwan.
  8. Hsin-Min Lu, Nina Wan-Hsin Huang, Shu-Hsing Li, and Tsai-Jyh Chen (2009), “Risk Statement Recognition in News Articles,” International Conference on Information Systems (ICIS) 2009, Phoenix, Arizona.
  9. Hsin-Min Lu, Nina WanHsin Huang, Shu-Hsing Li, Zhu Zhang, Tsai-Jyh Chen, and Hsinchun Chen (2009), “Recognizing Firm-Specific Risk Statements in News Articles,” American Accounting Association Annual Meeting, New York.
  10. Hsin-Min Lu, Daniel Zeng, and Hsinchun Chen (2008) “Bioterrorism Event Detection Based on the Markov Switching Model: A Simulated Anthrax Outbreak Study,” IEEE International Conference on Intelligence and Security Informatics, Taipei, Taiwan.
  11. Hsin-Min Lu, Hsinchun Chen, Daniel Zeng, Chwan-Chuen King, Lea Trujillo, and Ken Komatsu (2007) “Multilingual Chief Complaint Classifier,” Sixth Annual International Society for Disease Surveillance Conference, Indianapolis, Indiana.
  12. Hsin-Min Lu, Daniel Zeng, and Hsinchun Chen (2006) “Ontology-based Automatic Chief Complaints Classification for Syndromic Surveillance,” IEEE International Conference on Systems, Man, and Cybernetics, Taipei, Taiwan.
  13. Cheng-few Lee, Jow-Ran Chang, Mao-Wei Hung, and Hsin-Min Lu (2004) “The Jump Behavior of Foreign Exchange Market: Analysis of Thai Baht,” PBFEA 2004, Bangkok, Thailand, August 10-11 2004.
HONORS AND AWARDS
  • Exceptional Performance Award (年度績優獎), 2021 and 2022, National Taiwan University
  • Excellence in Teaching Award (院教學優良獎), 2020, College of Management, National Taiwan University
  • Excellence in Teaching Award (院教學優良獎), 2018, College of Management, National Taiwan University
  • Excellence in Teaching Award (院教學優良獎), 2017, College of Management, National Taiwan University
  • Dean’s Research Award, Eller College of Management, University of Arizona, 2009.
  • Dean’s Research Award, Eller College of Management, University of Arizona, 2008.
  • Graduate Research Assistantship, National Science Foundation, 2005-2009.

PROFESSIONAL ACTIVITIES

Reviewed manuscripts for the following journals and conferences:

  • Journals:
    • ACM Transactions on Management Information Systems
    • Artificial Intelligence in Medicine
    • Decision Support Systems
    • IEEE Intelligence Systems
    • IEEE Transactions on Intelligent Transportation Systems
    • Information Systems Research
    • INFORMS Journal on Computing
    • Journal of Biomedical Informatics
    • Journal of the American Society for Information Science and Technology
    • Knowledge and Information Systems
    • Management Information Systems Quarterly
  • Conferences:
    • International Conference on Asian Digital Libraries (ICADL 2010)
    • IEEE Visual Analytics Science and Technology (VAST 2010)
    • International Conference in Conceptual Modeling (ER 2009)
    • International Conference on Information Systems (ICIS 2009)
    • IEEE Intelligence and Security Informatics (IEEE ISI 2009)
    • American Accounting Association Annual Meeting (AAA 2009)
    • International Conference on Digital Government Research (2008)
    • IEEE International Conference on Bioinformatics and Biomedicine (2007)
    • Conference on Information and Knowledge Management (2006)
    • Hawaii International Conference on System Sciences (2006)

Program Committee:

  • Pacific Asia Conference on Information Systems (PACIS2024)
  • Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2011)
  • Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2010)
  • IEEE Intelligence and Security Informatics (IEEE ISI 2009)

COURSE TAUGHT

  • Statistical Learning and Deep Learning
  • Systems Analysis and Design
    • ---
  • Management Mathematics

 

GRADUATE STUDENTS

論文獎項

  • 崇越論文大賞競賽優等論文獎, 2020, 李羽浩, 碩士論文, 假新聞偵測：圖神經網路模型。
  • 富邦管理碩士論文優勝與最佳實務應用, 2020, 涂育婷, 基於順序遷移學習開發繁體中文情感分析工具。

Year of Graduation: 2021

  • 古佳峻: 中文手寫簽名驗證:資料集建構與深度學習模型
  • 吳謦廷: Image Reconstruction from Hierarchical Representations of Human Visual Cortex Activities
  • 李尚錡: 行動應用程式之搜尋競爭：相似度檢測與下載量分析
  • 莊于萱: 以自然語言處理方法分析年度報表中的管理層討論與分析的修改
  • 陳思伃: 探討使用生成對抗網路自動生成商標之品牌態度

Year of Graduation: 2020

  • 黃富纖: 從街頭看時尚：應用深度學習瞭解流行趨勢
  • 黃志家: 應用深度學習技術於中文文字圖像理解
  • 徐祥哲: 基於深度學習方法之中文句法校正模型
  • 凃育婷: 基於順序遷移學習開發繁體中文情感分析工具
  • 李羽浩: 假新聞偵測：圖神經網路模型

Year of Graduation: 2019

  • 黃舒瑜: 隨機波動模型的實作與應用
  • 方松營: 以文字探勘方法理解財報中的管理層討論與分析
  • 彭毅軒: 基於高斯過程的梯度提升分類器
  • 高偉立: 基於深度學習之群眾外包資料學習問題

Year of Graduation: 2018

  • 張郁卿: 使用全民健保申報資料建構疾病傳播網路
  • 陳怡文: 基於評論面向之評論助益性預測
  • 曾千蕙: 詞向量化方法之比較與應用
  • 廖維君: 基於高斯過程迴歸的梯度提升演算法
  • 蔡曜宇: 展示型廣告點擊率預測模型 : 比較與應用
  • 陳妍秀: 財報項目全文的擷取和效能評估

Year of Graduation: 2017

  • 邱冠中: 跨媒體平台事件與台灣股票市場之關聯性研究
  • 黃柏睿: 使用遮蔽森林預測實時競價廣告之得標價
  • 劉幼菁: 線上廣告即時競價之得標價預測
  • 方贊宗: 由區塊鏈資料探討比特幣特性
  • 簡宇泰: 公司網站吸引投資者注意力或增加市場資訊?以網站流量為實證研究

Year of Graduation: 2016

  • 王予廷: 應用於大量運算之單類別協同過濾：探討權重設計對推薦效能的影響
  • 高士堯: 線上支持度與線下選舉結果之關連性研究
  • 陳靖甯: 以分群演算法加速高斯程序迴歸

Year of Graduation: 2015

  • 張凱迪: [應用潛藏面向評分分析於中文評論:使用局部潛藏狄利克雷分配方法]

Year of Graduation: 2014

  • 孫久悌 [新聞報導對於併購事件市場反應之影響]
  • 李健華: [應用時間演化主題多管道潛藏狄利克雷分配推薦主題標籤]
  • 李承錱: [於健保資料庫中偵測藥物不良反應]

Year of Graduation: 2013

  • 陳如軒 [應用多管道潛藏狄利克雷分配偵測藥物清單遺失項目]
  • 羅崇瑋 [使用條件隨機域實作中文人名辨識系統]

Year of Graduation: 2012

  • 魏取向 [應用倉頡編碼特徵於中文人名性別預測之研究]

 

DATASETS AND SYSTEMS