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  4. 周信宏
周信宏

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
  1. 機器學習
  2. 智慧醫療
  3. 電腦對局
  4. 生物資訊
  5. 圖形演算法
聯絡電話 (049) 2910960 #4824
電子郵件 chouhh@ncnu.edu.tw
辦公室 科技學院三館 420 室
個人網站 個人網站
學術資料 Google Scholar Profile

期刊論文 | Journal Papers

  1. Kuo-En Hung, Eric Hsiao-Kuang Wu, Hung-Yue Suen, Hsin-Hung Chou, Shih-Ching Yeh, Cheng-Han Chung, Chun-Chuan Chen, Chirag Jindal, “Behavioral Biometrics for Deceptive Impression Management in Asynchronous Video Interviews via Segment-Aware Multimodal MIL,” IEEE Transactions on Biometrics, Behavior, and Identity Science, June 2026.
  2. Yan-Fu Lin, Sun-Yuan Hsieh, Peng-Chan Lin*, Hsin-Hung Chou*, “Histopathology Transformer-Based Adversarial Learning Framework for Survival Time Prediction in Colorectal Cancer,” Biomedical Signal Processing and Control, Vol. 124, 110714, 15 Sep. 2026.
  3. Chia-Yen Chien, Hsin-Hung Chou, Kai-Cheng Hsu, Bo-Cheng Liao, Hao-Ching Wang, Sun-Yuan Hsieh, “A Novel Relative Distance Protein Fingerprint Algorithm for Searching DNA Mimic Proteins,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 23(3), 2026.
  4. I-Ching Lu, Hsin-Hung Chou, Shih-Ching Yeh, Eric Hsiao-Kuang Wu, “LSTM-Based Automated Analysis of Laser-Groove Profiles in Wafer Dicing Using White-Light Interferometry Data,” IEEE Transactions on Semiconductor Manufacturing, 39(2), 175–183, 2026.
  5. Ting-Han Chen, Hsin-Hung Chou, Shuang Zou, Yu-Han Chen, Sun-Yuan Hsieh, “System-Level Integration of Deep Learning and Computer Vision for Contact Ring Seal Defect Detection in Semiconductor Manufacturing,” Expert Systems with Applications, 298(B), 129551, 2026.
  6. Shuang Zou, Sun-Yuan Hsieh, Kuo-Yuan Huang*, Hsin-Hung Chou*, “Automatic Spinal Cobb Angle Measurements from X-Ray Images Using a Novel Vertebra Centroid Radiation Landmark Detection Network,” Biomedical Signal Processing and Control, 112(D), 108712, 2026.
  7. Hao-Yu Yang, Hsin-Hung Chou, Ling-Ju Hung, Jiun-Yan Huang, Nai-Yueh Tien, Han-Ching Wang, Sun-Yuan Hsieh, “Machine Learning Approach for Predicting Ovarian Maturation in Penaeus monodon,” Smart Agricultural Technology, 12, 101597, 2025.
  8. Shih-Yu Cho, Wei-Shu Lai, Jui-Hung Tsai, Peng-Chan Lin*, Hsin-Hung Chou*, “Interpretable Machine Learning Approach for Optimizing Hospice Care Predictions Using Health Assessment Data,” BMC Medical Informatics and Decision Making, 25(1), 456, 2025.
  9. Hsin-Hung Chou, Yi-Chung Chang, Wan-Ching Lien, Lung-Chun Lin, Xing-Zhend Lin, Ting-En Hsu, Yueh-Ping Liu, Li Liu, Yen-Ting Chan, Feng-Sen Kuan, “Efficient Deep Learning Models Revolutionize Doctor’s Training for Point-of-Care Ultrasound,” IEEE Access, 13, 76038–76046, 2025.
  10. Yu-Ting Chou, Sun-Yuan Hsieh, Peng-Chan Lin, Hsin-Yu Kuo*, Hsin-Hung Chou*, “A GAN-based with Expert-validated Data Augmentation Method for Wireless Capsule Endoscopy Images of Small Intestine Polyp,” Journal of Supercomputing, 81(653), 2025.
  11. An-Rong Wu, Sun-Yuan Hsieh, Hsin-Hung Chou*, Cheng-Shih Lai, Jo-Ying Hung, Bow Wang, Yi-Shan Tsai*, “Deep Learning-based Prediction of Mortality Using Brain Midline Shift and Clinical Information,” Heliyon, 11(2), e41271, 2025.
  12. Deng-Yi Wang et al., “Artificial Intelligence-Based Reliability and Material Characterization of AlInGaP LEDs in Salty Water Environments,” IEEE Access, 12, 170936–170945, 2024.
  13. Chung-Ping Chiu, Hsin-Hung Chou, Peng-Chan Lin, Ching-Chi Lee, Sun-Yuan Hsieh, “Using machine learning to predict bacteremia in urgent care patients on the basis of triage data and laboratory results,” American Journal of Emergency Medicine, 85, 80–85, 2024.
  14. Hao-Yang Chou et al., “Deep Learning Model for Prediction of Bronchopulmonary Dysplasia in Preterm Infants using Chest Radiographs,” Journal of Imaging Informatics in Medicine, 37, 2063–2073, 2024.
  15. Li-Wei Cheng et al., “Automated Detection of Vertebral Fractures From X-Ray Images: A Novel Machine Learning Model and Survey of the Field,” Neurocomputing, 566, 2024.
  16. Yan-Jun Li et al., “A Novel Deep Learning-Based Algorithm Combining Histopathological Features with Tissue Areas to Predict Colorectal Cancer Survival from Whole-Slide Images,” Journal of Translational Medicine, 21, 731, 2023.
  17. Deng-Yao Tu et al., “Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(5), 3267–3277, 2023.
  18. Wan-Ching Lien et al., “Detecting Hydronephrosis Through Ultrasound Images using State-of-the-art Deep Learning Models,” Ultrasound in Medicine and Biology, 49(3), 723–733, 2023.
  19. Tzu-Hsuan Wu et al., “Pathogenicity Prediction of Single Amino Acid Variants with Machine Learning Model Based on Protein Structural Energies,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 20(1), 606–615, 2023.
  20. Hsin-Hung Chou et al., “Novel Algorithm for Improved Protein Classification Using Graph Similarity,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 19(6), 3135–3143, 2022.
  21. Hsin-Hung Chou et al., “A Novel Branch-and-Bound Algorithm for the Protein Folding Problem in the 3D HP Model,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, 18(2), 455–462, 2021.
  22. Che-Nan Kuo, Hsin-Hung Chou, Nai-Wen Chang, Sun-Yuan Hsieh, “Fault-tolerant path embedding in folded hypercubes with both node and edge faults,” Theoretical Computer Science, 475, 82–91, 2013.
  23. Hsin-Hung Chou, Shi-Yuan Chiu, Shi-Jim Yen, “CPUZZLER WINS THE FIRST LIGHT UP TOURNAMENT,” ICGA Journal, 33(4), 233–235, 2010.
  24. Sun-Yuan Hsieh, Che-Nan Kuo, Hsin-Hung Chou*, “A Further Result on Fault-Free Cycles in Faulty-Folded Hypercubes,” Information Processing Letters, 110, 41–43, 2009.
  25. Sun-Yuan Hsieh, Chao-Wen Huang, Hsin-Hung Chou*, “A DNA-based graph encoding scheme with its applications to graph isomorphism problems,” Applied Mathematics and Computation, 203(2), 502–512, 2008.
  26. Hsin-Hung Chou*, Ming-Tat Ko, Chin-Wen Ho, Gen-Huey Chen, “The node-searching problem on block graphs,” Discrete Applied Mathematics, 156, 55–75, 2008.

研討會論文 | Conference Papers

  1. Cian-Yu Syong and Hsin-Hung Chou*, “Learning Like Humans: Memory Replay and Regularization in Continual Learning,” TAAI 2025, Taipei.
  2. Zhen-Bang Ye and Hsin-Hung Chou*, “Implementation of a Honeymoon Bridge AI Agent: Integrating Win-Rate Prediction and a Simplified MCTS Based on AlphaZero,” GPW 2025, Kanagawa, Japan.
  3. Chun-Yen Lin, Zhen-Bang Ye, Hsin-Hung Chou*, “Deep Learning Approaches with Attention Mechanisms for Go Strength Imitation and Style Recognition,” ICS 2024, Taipei.
  4. Wei-Chang Chen, Zheng-Yuan Lin, Hsin-Hung Chou*, “Automatic Bridge Bidding Model Based on LSTM and Deep Reinforcement Learning,” ICS 2024, Taipei.
  5. 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，國立暨南國際大學。
  6. Tzu-Hsuan Wu et al., “Predict pathogenicity of Human missense SNPs using a protein structural energies-based machine learning model,” ICS 2020, Tainan.
  7. Hsin-Hung Chou et al., “A Novel Improved Algorithm for Protein Classification Through a Graph Similarity Approach,” ICIC 2020.
  8. 嚴禾宸、周信宏*，「基於AlphaZero框架實作黑白棋之研究」，TCGA 2020。
  9. Hsin-Hung Chou et al., “Connected Handwritten Digits Recognition by Convolutional Neural Networks with Hyper-Parameter Optimization,” 2019 International Conference on Innovative Computing and Management Science.
  10. 鄧涵憶、周信宏*、許舜欽，「利用平行化探勘技術萃取圍棋棋形」，TANET 2016。
  11. 郭桐甫、周信宏*、許舜欽，「電腦台灣麻將程式設計與實作」，TCGA 2016。
  12. 葉銓軒、周信宏*，「蒙地卡羅黑白棋程式之設計與開發」，TCGA 2015。
  13. Hsin-Hung Chou*, Ming-Tat Ko, Chin-Wen Ho, Gen-Huey Chen, “On the vertex separation of unicyclic graphs,” 23rd Workshop on Discrete Mathematics and Theory of Computing, 2006. (Best paper award)

專利 | Patents

  1. 連琬菁、周信宏等，「超音波影像辨識方法及其系統」，中華民國發明專利第 I858468 號，2024 年 10 月。