劉英和 (Ying-Ho Liu)

Professor
Dept. of Information Management, NDHU
email: daxliu@gms.ndnu.edu.tw
tel: +886-3-8903116

Research Interests

  • Data mining

  • Big data analysis

  • Machine learning

  • Large Language Model

  • Artificial Intelligence

  • Pattern recognition

Education

  • PhD, Information Management, National Taiwan University, Taipei, Taiwan

  • Master, Information Management, National Taiwan University, Taipei, Taiwan

  • Bachelor, Information Management, National Taiwan University, Taipei, Taiwan

Selected publications

  1. Ying-Ho Liu* and Jian-Kai Huang, “Cryptocurrency trend forecast using technical analysis and trading with randomness-preserving,” Computers and Electrical Engineering, Vol.118, No.Part A, pp.109368, August 2024. (SCI)

  2. Ying-Ho Liu* and Yu-Xiang Hong, “Predict rising stars in sports: An example of NBA players,” Journal of Internet Technology, June 2024. (SCI)(Accepted)

  3. Christine Chou*, Ying-Ho Liu and Kuo-Pin Yang, “Impacts of strategic exploitation and exploration on firms’ survival likelihood after crises: A decision-tree analysis,” Long Range Planning, Vol.57, pp.102374, February 2024. (SSCI)

  4. Ying-Ho Liu* and Chia-Yu Kuo, “SiMAIM: Identifying Sockpuppets and Puppetmasters on a Single Forum-Oriented Social Media Site,” Journal of Supercomputing, Vol.79, pp.18667-18698, May 2023. (SCI)

  5. Kuo-Hui Yeh, Guan-Yan Yang, Chanapha Butpheng, Lin-Fa Lee and Ying-Ho Liu*, “A Secure Interoperability Management Scheme for Cross-Blockchain Transactions,” Symmetry, Vol.14, pp.2473, November 2022. (SCI)

  6. Ying-Ho Liu* and Huei-Yu Fan, “Classifying univariate uncertain data,” Applied Intelligence, pp.1-31, April 2021. (SCI)

  7. Ying-Ho Liu*, “Generating Summaries for Frequent Univariate Uncertain Pattern,” NTU Management Review, Vol.27, No.2S, pp.29-62, March 2017. (TSSCI)

  8. Ying-Ho Liu*, “Mining Time-interval Univariate Uncertain Sequential Patterns,” Data & Knowledge Engineering, Vol.100, pp.54-77, November 2015. (SCI)

  9. Ying-Ho Liu*, “Mining Maximal Frequent U2 Patterns from Univariate Uncertain Data,”  Intelligent Data Analysis, Vol.18, pp.653-676, June 2014. (SCI)

  10. Chun-Sheng Wang *, Ying-Ho Liu and Kuo-Chung Chu , “Closed Inter-Sequence Pattern Mining,” Journal of Systems and Software, Vol.86, No.6, pp.1603-1612, June 2013. (SCI)

  11. Ying-Ho Liu * and Chun-Sheng Wang ,  Constrained Frequent Pattern Mining on Univariate Uncertain Data,” Journal of Systems and Software, Vol.86, No.3, pp.759-778, March 2013. (SCI)

  12. Ying-Ho Liu*, “Stream Mining on Univariate Uncertain Data,” Applied Intelligence, Vol.39, No.2, pp.315-344, February 2013. (SCI)

  13. Ying-Ho Liu *, Anthony J.T. Lee and Fu Chang, “Object Recognition Using Discriminative Parts,” Computer Vision and Image Understanding, Vol.116, No.7, pp.854-867, July 2012. (SCI)

  14. Ying-Ho Liu*, “Mining Frequent Patterns from Univariate Uncertain Data,”Data & Knowledge Engineering,Vol.71, No.1, pp.47-68, January 2012. (SCI)

  15. Wen-Kwang Tsao, Anthony J.T. Lee*, Ying-Ho Liu, Ting-Wei Chang andHsiu-Hui Lin, “A Data Mining Approachto Face Detection,” Pattern Recognition,” Pattern Recognition, Vol.43, No.3, pp.1039-1049, March 2010. (SCI)

  16. Anthony J.T. Lee*, Huei-Wen Wu , Tzu-Yu Lee, Ying-Ho Liu and Kuo-Tay Chen, “Mining Closed Patterns in Multi-sequence Time-series Databases,” Data & Knowledge Engineering, Vol.68, No.10, pp.1071-1090, October 2009. (SCI)

  17. Anthony J.T. Lee*, Ying-Ho Liu, Hsin-Mu Tsai, Hsiu-Hui Lin and Huei-Wen Wu, “Mining Frequent Patterns in Image Databases with 9D-SPA Representation,” Journal of Systems and Software, Vol.82, No.4, pp.603-618, April 2009. (SCI)

  18. Ying-Ho Liu, Chin-Chin Lin, Wen-Hsiung Lin and Fu Chang*, “Accelerating Feature-Vector Matching Using Multiple-Tree and Sub-Vector Methods,” Pattern Recognition, Vol.40, No.9, pp.2392-2399, September 2007. (SCI)

  19. Chien-Hsing Chou, Chin-Chin Lin, Ying-Ho Liu and Fu Chang*, “A Prototype Classification Method and Its Use in a Hybrid Solution for Multiclass Pattern Recognition,” Pattern Recognition, Vol.39, No.4, pp.624-634, June 2006. (SCI)

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