Publications

Journal Papers

  1. C. K. Chang et al., "Segmentation of nucleus and cytoplasm of a single cell in three-dimensional tomogram using optical coherence tomography," J. Biomed. Opt, vol. 22, no. 3, pp. 036003–036003, 2017, doi: 10.1117/1.JBO.22.3.036003.
  2. C. C. Tsai et al., "Full-depth epidermis tomography using a Mirau-based full-field optical coherence tomography," Biomed. Opt. Express, vol. 5, no. 9, p. 3001, Sep. 2014, doi: 10.1364/BOE.5.003001.
  3. N.-C. Cheng et al., "Cell death detection by quantitative three-dimensional single-cell tomography," Biomed. Opt. Express, BOE, vol. 3, no. 9, pp. 2111–2120, Sep. 2012, doi: 10.1364/BOE.3.002111.

Conference Papers

  1. Y.-H. Chen, C.-K. Chang, and Y.-S. Chen, "Leveraging Knowledge Graphs and Large Language Models for Automated Generation of Personalized Practice Problems," arXiv preprint, arXiv:2504.11481, 2025. doi: 10.48550/arXiv.2504.11481.
  2. C.-L. Cheng, C.-K. Chang, and S.-J. Kao, "Collaborative Reasoning Framework for Edge-Deployable EEG Sleep Staging Using Small Language Models," in 2025 IEEE International Conference on Big Data Services and Intelligent Computing (BigDataService), Aug. 2025. doi: 10.1109/BigDataService65087.2025.00024.
  3. E. N. Furqon and C.-K. Chang, "Evaluating Cognitive Performance Through Prompt-Based Methods Using Large Language Models," in 2025 IEEE International Conference on Advanced Learning Technologies (ICALT), Jul. 2025. doi: 10.1109/ICALT63718.2025.00050.
  4. C.-C. Kao, C.-K. Chang, and S.-J. Kao, "Computer Vision-Based Coffee Capsule Recognition Using Deep Learning and Comparative Analysis of Lightweight Models," in 2025 10th International Conference on Control and Robotics Engineering (ICCRE), Apr. 2025, pp. 215–220. doi: 10.1109/ICCRE64078.2025.10986792.
  5. K. S. Phay and C.-K. Chang, "A Generative Artificial Intelligence-Based Python Learning Companion for Supporting Self-Regulated Coding Practice," in 18th International Conference on Education and Training in Optics and Photonics (ETOP), 2025. doi: 10.1117/12.3062090.
  6. C.-C. Yen, C.-K. Chang, and Y.-S. Chen, "Correlation Analysis of Conversational Focus and Learning Performance in an AI-Assisted Learning System," in International Conference on Modern Educational Technology (ICMET), Dec. 2025.
  7. C.-C. Yen, C.-K. Chang, and Y.-S. Chen, "Analysis of a Generative AI-Based Graphical Learning Assistance Tool on Learning Effectiveness and Self-Regulated Learning in an Interdisciplinary AI Course," in 2025 IEEE International Conference on Advanced Learning Technologies (ICALT), Jul. 2025. doi: 10.1109/ICALT63718.2025.00013.
  8. C.-K. Chang and L.-C.-T. Chien, "Enhancing Academic Performance with Generative AI-Based Quiz Platform," in 2024 IEEE International Conference on Advanced Learning Technologies (ICALT), Jul. 2024, pp. 193–195. doi: 10.1109/ICALT61570.2024.00062.
  9. C.-K. Chang, P.-C. Chen, Z.-S. Chen, and T. M. Kuo, "Developing AI-Based Automated Post-Rating System to Scaffold Interdisciplinary Knowledge-Sharing," in 2023 IEEE International Conference on Advanced Learning Technologies (ICALT), Jul. 2023, pp. 239–241. doi: 10.1109/ICALT58122.2023.00076.
  10. C.-K. Chang, J.-T. Lin, C. You, M. Calderon-Delgado, J.-W. Tjiu, and S.-L. Huang, "Skin Cancer Detection using Cellular Resolution Optical Coherence Tomography," in 2019 24th Microoptics Conference (MOC), Nov. 2019, pp. 70–71, doi: 10.23919/MOC46630.2019.8982810.
  11. C.-K. Chang and S.-L. Huang, "Quantitative Analysis of Keratinocytes in Human Skin Using Full-Field Optical Coherence Tomography," in Conference on Lasers and Electro-Optics (2018), paper JTu2A.100, May 2018, p. JTu2A.100, doi: 10.1364/CLEO_AT.2018.JTu2A.100.
  12. Y. Y. Li, R. Soundararajan, C. K. Chang, T. I. Yang, S. L. Huang, and Y. W. Lee, "Optical coherence tomography — From micron to nanometer resolution," in 2018 7th International Symposium on Next Generation Electronics (ISNE), May 2018, pp. 1–2, doi: 10.1109/ISNE.2018.8394691.
  13. C.-K. Chang and S.-L. Huang, "Nucleus and Cytoplasm Segmentation using Full-Field Optical Coherence Tomography," in Biophotonics Congress: Biomedical Optics Congress 2018 (Microscopy/Translational/Brain/OTS) (2018), paper MF3A.2, Apr. 2018, p. MF3A.2, doi: 10.1364/MICROSCOPY.2018.MF3A.2.
  14. C. Chang, C.-C. Tsai, M.-T. Chien, Y.-I. L. M.d, C.-T. S. M.d, and S.-L. Huang, "Web-based 3D digital pathology framework for large-mapping data scanned by FF-OCT," in Medical Imaging 2015: PACS and Imaging Informatics: Next Generation and Innovations, Mar. 2015, vol. 9418, p. 94180H, doi: 10.1117/12.2081587.
  15. C.-C. Tsai et al., "Cellular-resolution optical coherence tomography," in Latin America Optics and Photonics Conference (2014), paper LTh3D.3, Nov. 2014, p. LTh3D.3, doi: 10.1364/LAOP.2014.LTh3D.3.
  16. C.-C. Tsai et al., "In vivo 3-D cellular level imaging using Mirau-based full-field optical coherence tomography on skin tissue," in Biomedical Optics 2014 (2014), paper BW4A.2, Apr. 2014, p. BW4A.2, doi: 10.1364/BIOMED.2014.BW4A.2.