Pecu’s Publications


  1. Chia-Hao Chiu, Yun-Cheng Tsai*, and Ho-Lin Chen. Long Text to Image Converter for Financial Reports. Accepted by International Journal of Data Mining, Modelling and Management, 2020. (Emerging Sources Citation Index)
  2. Hsien-Liang Huang, Shi-Hao Hong, and Yun-Cheng Tsai*. Approaches to Text Mining for Analyzing Treatment Plan of Quit Smoking with Free-text Medical Records: A PRISMA-compliant meta-analysis. Medicine, 99:29, 2020. (Science Citation Index Expanded)
  3. Jun-Hao Chen and Yun-Cheng Tsai*. Encoding Candlesticks as Images for Patterns Classification Using Convolutional Neural Networks. Accepted by Financial Innovation, 2020. (Social Sciences Citation Index)
  4. Hung-Kai Kung, Chun-Mo Hsieh, Cheng-Yu Ho, Yun-Cheng Tsai*, Hao-Yung Chan, and Meng-Han Tsai. Data-Augmented Hybrid Named Entity Recognition for Disaster Management by Transfer Learning. Applied Sciences, 10:12, 4234, 2020. (Science Citation Index Expanded)
  5. Meng-Han Tsai, Hao-Yung Chan, Chun-Mo Hsieh, Cheng-Yu Ho, Hung-Kai Kung, Yun-Cheng Tsai, and I-Cheng Cho. Historical typhoon search engine based on track similarity. International journal of environmental research and public health, 16:24, 4879, 2019. (Science Citation Index Expanded / Social Sciences Citation Index)
  6. Yun-Cheng Tsai*, Jun-Hao Chen, and Jun-Jie Wang. Predict forex trend via convolutional neural networks. Journal of Intelligent Systems, 2018. (Emerging Sources Citation Index)
  7. Chiu-Wang Tseng, Jui-Jen Chou, and Yun-Cheng Tsai. Text mining analysis of teaching evaluation questionnaires for the selection of outstanding teaching faculty members. IEEE Access 6, 72870-72879, 2018. (Science Citation Index Expanded)
  8. 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. (Directory of Open Access Journals)
  9. 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. (Science Citation Index Expanded)
  10. 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. (Science Citation Index Expanded)


  1. Chun-Mo Hsieh, Cheng-Yu Ho, Hung-Kai Kung, Hao-Yung Chan, Meng-Han Tsai*, and Yun-Cheng Tsai. “Track Similarity-based Typhoon Search Engine for Disaster Preparedness” Proceedings of 2020 37th International Symposium on Automation and Robotics in Construction (ISARC 2020), October 2020, Online.
  2. Chia-Hao Chiu*, Yun-Cheng Tsai, Ho-Lin Chen. “Use Text Mining for Financial Reports Analysis: Long Text to Image Converter” Proceedings of 2020 6th International Conference on Communication and Information Processing (ICCIP 2020), November 2020, Tokyo, Japan.
  3. Yun-Cheng Tsai*, Chun-Chieh Wang, Fu-Min Szu, and Kuan-Jen Wang. “Deep Reinforcement Learning for Foreign Exchange Trading” Proceedings of the 33th International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2020), September 2020, Kitakyushu, Japan.
  4. Jun-Hao Chen, Samuel Yen-Chi Chen, Yun-Cheng Tsai*, and Chih-Shiang Shur. “Explainable Deep Convolutional Candlestick Learner” Proceedings of the 2020 International Conference on Software Engineering and Knowledge Engineering (SEKE 2020), July 2020, Pittsburgh, the U.S.A.
  5. Yun-Cheng Tsai*, Pu Yu, and Chia-Ching Wu. “Natural Language Processing Real-Time System for Central European News” Proceedings of the 2018 Digital Humanities Conference Budapest (DH_BUDAPEST), May 2018, Budapest, Hungary.
  6. 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.
  7. 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.
  8. 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.
  9. 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.
  10. 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.
  11. 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.
  12. Ren-Shuo Liu, Yun-Cheng Tsai, and 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, the U.S.A.