Yun-Cheng Tsai

Assistant Professor, Center for General Education, National Taiwan University

No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan (R.O.C.) · (+886) 908-959162 · pecutsai@ntu.edu.tw

I had working experience in R&D for four years before entering the Ph.D. program. Also, I had an additional two years of experience as a bank consultant and more than five years of teaching programming experience in Information System Training Program, National Taiwan University during the Ph.D. program. I graduated from the Department of Computer Science and Information Engineering at the National Taiwan University. I start to work for my alma mater in the Center for General Education until now since 2016 summer. My responsibility is designing and teaching the cross fields computational thinking courses. Including, data science, data visualization, and data analysis. It’s a new term CS+X, which means Computer Science for anything. The working experience cultivate my strength of interdisciplinary teaching and research.


Experience

Assistant Professor

Center for General Education, National Taiwan University
February 2017 - Present

Assistant Professor

Institute of Information and Decision Science, National Taipei University of Business
August 2016 - February 2017
February 2015 - March 2016

Research Assistant

Ladislaus von Bortkiewicz Chair of Statistics, Humboldt-Universität zu Berlin
September 2014 - February 2015

Financial Engineer

December 2013 - August 2014


Research

FinTech, Technical Analysis and Trading Ideas, Text Analysis for Trading Sentiment
Research Fellow, Digital Finance and Industrial Development Research Center Co-principal Investigator, Distributed Open Platform of Smart FinTech Principal Investigator, Forex Algorithmic Trading Development
  1. Principal Investigator, Use Deep Reinforcement Learning to Learn With Traders, MOST: 107-2218-E-002-031.
  2. Co-principal Investigator, Stock Return, Volatility, Crash and the Information Content of Unstructured Data and Options-Natural Language Understanding with Machine Learning Approach, MOST: 107-2410-H-002-050-MY3.
  3. Co-principal Investigator, The Impact of Board Members’ Profession on Management Profession and Financial Outcomes under the Corporate Governance Framework, MOST: 107-2410-H-008-024.
  4. Co-principal Investigator, Feasibility Study on Application of Block-Chain Technology in Futures Market of Taiwan, Taiwan Futures Exchange, Final Report, 2017/05/01 - 2017/11/30.
Precision Medicine, Data Analysis for Medical Record Information Retrieval
  1. Research Fellow, NTU Medical Genie – AI Decision Support System for Precision Medicine.
  2. Co-principal Investigator, Applying Text Mining and Machine Learning Methods to Develop Smoking Cessation Intervention Model with Psychological Counseling and Exercise Training, MOST: 107-2320-B-002-006.
Digital Humanities, Text Mining and Visualization
  1. Co-principal Investigator, From Knowledge Genealogy to Knowledge Map-China Studies in Big Data and Machine Learning, MOST: 107-2410-H-003-058-MY3.
  2. Research Fellow, Political and Information Group, Institute of Political Science, MOE Talent Cultivation Project for Digital Humanities.
Smart Disaster Prevention, Chatbot and Natural Language Processing
  1. Co-principal Investigator, Conversation-based Decision Support System (C-DSS), MOST: 107-2119-M-011-002.
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Publications

Conference
  1. Yun-Cheng Tsai, Pu Yu, Chia-Ching Wu, and Ji-Yu Huang, "Natural Language Processing Real-Time System for Central European News" Proceedings of the 2018 Digital Humanities Conference Budapest (DH_BUDAPEST), May 2018, Budapest Hungary.
  2. Yu-Hsiang Lin, Hui-Fen Mao, Yun-Cheng Tsai and Jui-Jen Chou, "Developing a Serious Game to Motivate the Elderly to Do Physical and Cognitive Hybrid Activities" Proceedings of the 2018 IEEE International Conference on Serious Games and Applications for Health (SeGAH), May 2018, Vienna Austria.
  3. Jun-Hao Chen and Yun-Cheng Tsai, "Algorithmic Trading of Foreign Exchange via Deep Learning", Proceedings of the 15th Annual International Conference on Finance, July 2017, Athens Greece.
  4. Yun-Cheng Tsai, Hou-Ieong Ho and Shih-Pei Chen, "Image Processing for Historical Manuscripts: Character Search on Chinese Handwriting Images" Proceedings of the Japanese Association for Digital Humanities 2015 Conference, September 2015, Kyoto Japan.
  5. Yuh-Dauh Lyuu and Yun-Cheng Tsai, "Filtering the Microstructure Noise From Stochastic Volatility Models with a Robust Extended Kalman Filter" Proceedings of the Quantitative Methods in Finance 2013 Conference, December 2013, Sydney Australia.
  6. Yuh-Dauh Lyuu, Yu-Cheng Tien and Yun-Cheng Tsai, "Filtering the Microstructure Noise with a Robust Kalman Filter" Proceedings of the 21st International Business Research Conference, June 2013, Toronto Canada.
  7. Yuh-Dauh Lyuu, Philip Sheih, Yu-Cheng Tien and Yun-Cheng Tsai, "Faster Convergence to Realized Volatility with Microstructure Noise" Proceedings of the 20th Conference on the Theories and Practices of Securities and Financial Markets, December 2012, Kaohsiung Taiwan.
  8. Ren-Shuo Liu, Yun-Cheng Tsai, Chia-Lin Yang, "Parallelization and Characterization of GARCH Option Pricing on GPUs" Proceedings of the 2010 IEEE International Symposium on Workload Characterization, December 2010, Atlanta USA.
  9. In-Jen Lin and Yun-Cheng Tsai, "Cocomparability Graph of a Tolerance Graph is bounded" Proceedings of the 2005 International & Third Crossstrait Conference on Graph Theory and Combinatorics, June 2005, Zhejiang China.
Journal
  1. Chiu-Wang Tseng, Jui-Jen Chou and Yun-Cheng Tsai, "Text Mining Analysis of Teaching Evaluation Questionnaire for the Selection of Outstanding Teaching Faculty Members" has been accepted for publication in IEEE Access.
  2. Yun-Cheng Tsai, Jun-Hao Chen and Jun-Jie Wang. "Predict Forex Trend via Convolutional Neural Networks", Journal of Intelligent Systems, 0:0, . – ., 2018. doi:10.1515/jisys-2018-0074.
  3. Hsuan-Lei Shao, Sieh-Chuen Huang and Yun-Cheng Tsai. "How the Taiwanese Do China Studies: Applications of Text Mining", Journal of Data Mining & Digital Humanities, 2018.
  4. Yun-Cheng Tsai and Yuh-Dauh Lyuu. "A New Robust Kalman Filter for Filtering the Microstructure Noise", Communications in Statistics – Theory and Methods, 46:10, 4961 – 4976, 2017.
  5. Yun-Cheng Tsai and Yuh-Dauh Lyuu. "Faster Convergence to the Estimation of Quadratic Variation", Communications in Statistics – Theory and Methods, 44:13, 2827 – 2841, 2015.
Working Papers
  1. Sheng-Hsuan Lin, Yuh-Dauh Lyuu and Yun-Cheng Tsai. "A Pricing Model with Dynamic Credit Rating Transition Matrices".
  2. Yun-Cheng Tsai, Jun-Hao Chen and Chun-Chieh Wang. "Encoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks".
  3. Jia-Hao Qiu and Yun-Cheng Tsai. "Long Text to Image Converter for Accounting Information Retrieval".
Talks
  1. 蔡芸琤、羊敏丹、謝誌紘、黃彥鈞、廖達琪. "台北市長候選人臉書經營方式的影響分析". 2018年台灣政治學會年會暨變動中的大國關係與民主治理國際學術研討會。
  2. Yun-Cheng Tsai and Da-Chi Liao. "Digital Political Science Learning Strategies". Workshop on Education of Digital Humanities Innovative Application in the Big Data Era, WEDHIA 2018.
  3. Yun-Cheng Tsai. "Using Text Mining for Case Report Analysis in Hospice Care". Taiwan Association of Family Medicine Conference, 2018.

Current Courses

  1. NTU 107-1 CSX 4001 Data Science Programming, Week Projects, Facebook Group.
  2. NTU 107-1 CSX 5001 Special Topics on Advanced Software Development, Week Projects.
  3. NTU 107-1 CSX 0013 Applications for Computer Programming, Week Projects, Facebook Group.
  4. NTU 107-1 CSX 0014 Using R for Data Analysis.

Past Courses