師 資 介 紹

副教授

周信宏

學歷

國立臺灣大學資訊工程學系博士

研究領域

機器學習、智慧醫療、電腦對局、生物資訊、圖形演算法

研究室

科三420

研究成果

  • Hsin-Hung Chou, Ching-Tien Hsu, Chin-Wei Hsu, Kai-Hsun Yao, Hao-Ching Wang, Sun-Yuan Hsieh, ‘Novel Algorithm for Improved Protein Classification Using Graph Similarity,’ IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021. (accepted, SCI)
  • Tzu-Hsuan Wu, Peng-Chan Lin, Hsin-Hung Chou, Meng-Ru Shen, and Sun-Yuan Hsieh, ‘Pathogenicity Prediction of Single Amino Acid Variants with Machine Learning Model Based on Protein Structural Energies,’ IEEE/ACM Transactions on Computational Biology and Bioinformatics, Dec. 2021. (accepted, SCI)
  • Hung-Yu Yan, Dun-Wei Cheng, Peng-Chan Lin, Hsin-Hung Chou, Meng-Ru Shen, and Sun-Yuan Hsieh, ‘Using Evolutionary Trees for the Colorectal Cancer Prognosis Prediction’, Computational Biology and Bioinformatics, Volume 9, Issue 1, June 2021, Pages: 1-14.
  • Yi-Cheng Yang, Shih-Shun Kao, Ralf Klasing, Sun-Yuan Hsieh, Hsin-Hung Chou, and Jou-Ming Chang, ‘The Construction of Multiple Independent Spanning Trees on Burnt Pancake Networks ’, IEEE Access, Volume 9, Jan. 2021, Pages: 16679 – 16691, DOI: 10.1109/ACCESS.2021.3049290 (SCI).

會議論文

  • 張逸宗、周信宏*、顏士淨, ‘電腦黑白棋對奕平台設計與開發 ‘, TCGA 2022 , May 2022,國立暨南國際大學.
  • Tzu-Hsuan Wu, Peng-Chan Lin, Hsin-Hung Chou, Meng-Ru Shen, and Sun-Yuan Hsieh “Predict pathogenicity of Human missense SNPs using a protein structural energies-based machine learning model” Proceedings of International Computer Symposium (ICS 2020), Tainan, Taiwan December 17-19, 2020.
  • Hsin-Hung Chou, Ching-Tien Hsu, Hao-Ching Wang, Sun-Yuan Hsieh “A Novel Improved Algorithm for Protein Classification Through a Graph Similarity Approach” 2020 International Conference on Intelligent Computing October 2-5, 2020, Bari, Italy.