Notes

  1. Yi-Shan Chu(2025.5). "Function Fitting using Single Layer Neural Networks." 📄 View (PDF)
  2. Yi-Shan Chu(2024.11). "Notes on Deep Learning and Computational Learning Theory" 📄 View (PDF)

Preprint drafts

  1. Yi-Shan Chu*; Yueh-Cheng Kuo(2025.10). "From Universal Approximation Theorem to Tropical Geometry of Multi-Layer Perceptrons.” Preprint available on arXiv:2510.15012 [stat.ML]. (*Corresponding author)
  2. Yi-Shan Chu*; Hsuan-Cheng Wei. “Post-Disaster Affected Area Segmentation with a Vision Transformer (ViT)-based EVAP Model using Sentinel-2 and Formosat-5 Imagery.” Submitted to Terrestrial, Atmospheric and Oceanic Sciences (under revision). Preprint available on arXiv:2507.16849 [cs.CV]. (*Corresponding author)

Publications

  1. Yi-Shan Chu*; Li-Yu Chang (2024.12). “Improvement of EVAP for Disaster Analysis Using Transformer-based AI Models.” TAIWAN International Assembly of Space Science, Technology, and Industry, Taiwan Space Agency. (*Corresponding author) 📄 Abstract (PDF)
  2. Hsiu-Chuan Hsu*; Yi-Shan Chu; Yu-Jung Hsu; Yi-Chieh Wu (2024). “Facilitating Cursive Chinese Calligraphy Generation with Quantum Computing Technology.” In Proceedings of the 2024 10th International Conference on Science and Technology (ICST UGM) & 5th International Conference on Smart and Innovative Agriculture (ICoSIA), Universitas Gadjah Mada. Subsequently published in Engineering Headway, Vol. 27 (2025), pp. 49–57. DOI: 10.4028/p-BZ71fA (*Corresponding author)
  3. Yi-Shan Chu*; Ching Wang (2024.09). “Intention Travel Recommendation System: A Travel Recommendation System Based on Online Comments.” 1st Unlocking the Potential: The IMA AI/ML Congress 2024, Institute of Mathematics and its Applications, UK. (*Corresponding author) (link here)