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國際期刊論文 Journal Papers

  1. *M. L. Wu and C. P. Cheng, “Sanitizing diffusion-generated images via fingerprint removal and adversarial perturbation for forensic evasion,” IEEE Access, vol. 13, pp. 156843~156854, August, 2025. (included in SCI) doi:10.1109/ACCESS.2025.3597641
  2. C. S. Fahn, *C. Y. Kao, M. L. Wu, and H. E. Chueh, “SOINN-based abnormal trajectory detection for efficient video condensation,” Computer Systems Science Engineering, vol. 42, no. 2, pp. 451~463, January, 2022. (included in SCI) doi:10.32604/csse.2022.022368
  3. B. S. Lin, I. J. Lee, *C. S. Fahn, Y. F. Lee, W. J. Chou, and M. L. Wu, “Depth-camera based energy expenditure estimation system for physical activity using posture classification algorithm,” Sensors, vol. 21, no. 12, pp. 4216, June, 2021. (included in SCI) doi:10.3390/s21124216
  4. *Y. S. Chen, S. W. Chiang, and M. L. Wu, “A few-shot transfer learning approach using text-label embedding with legal attributes for law article prediction,” Applied Intelligence, vol. 52, pp. 2884~2902, May, 2021. (included in SCI & EI) doi:10.1007/s10489-021-02516-x
  5. C. S. Fahn, J. Ling, M. Y. Yeh, P. Y. Huang, and M. L. Wu, “Abnormal maritime activity detection in satellite image sequences using trajectory features,” International Journal of Future Computer and Communication, vol. 8, no. 1, pp. 29~33, March, 2019. doi:10.18178/ijfcc.2019.8.1.535
  6. C. S. Fahn, and S. E. Lee, and M. L. Wu, “Real-time musical conducting gesture recognition based on a dynamic time warping classifier using a single-depth camera,” Applied Sciences, vol. 9, no. 3, pp. 528, February, 2019. (included in SCI) doi:10.3390/app9030528
  7. *M. L. Wu, C. S. Fahn, and Y. F. Chen, “Image-format-independent tampered image detection based on overlapping concurrent directional patterns and neural networks,” Applied Intelligence, vol. 47, pp. 347~361, March, 2017. (included in SCI & EI) doi:10.1007/s10489-017-0893-4
  8. C. S. Fahn, C. Y. Kao, C. B. Yao, and M. L. Wu, “Exploiting AdaRank model and trajectory of hand motion for hand gesture recognition,” Sensor Letters, vol. 14, no. 10, pp. 1061~1065, October, 2016. doi:10.1166/sl.2016.3743

國際研討會論文 International Conference Papers

  1. C. C. Chou, M. L. Wu, and S. C. Shih, “Can Semantics-Driven Segmentation Improve BERT for Long Legal Texts?,” in Proceedings of the International Conference on Technologies and Applications of Artificial Intelligence (TAAI 2025), Taipei, Taiwan, accepted for publication.
  2. Z. Y. Hu and *M. L. Wu, “Taming the Mirage: A Taxonomy of Detection Methods for LLM Hallucinations,” in Proceedings of the IET International Conference on Engineering Technologies and Applications (IET ICETA 2025), Taoyuan, Taiwan, accepted for publication.
  3. J. H. Zhu and *M. L. Wu, “Multimodal video forgery detection using vision-language and audio features,” in Proceedings of the International Conference on Computer Vision, Graphics and Image Processing (CVGIP 2025), New Taipei City, Taiwan, August, 2025.
  4. Z. Y. Yang, M. L. Wu, J. H. Zhu, C. C. Chou, and B. X. Huang, “AI-generated image detection based on ViT using frequency domain features,” in Proceedings of the International Conference on Machine Learning and Media Informatics (MLMI 2025), Kyoto, Japan, July, 2025.
  5. *M. L. Wu, P. C. Yu, C. Y. Fang , “PGNet v2: Enhancing aesthetic image critique generation with self-resurrecting activation and Gaussian gated units,” in Proceedings of the International Conference on Future Computer and Communication (ICFCC 2025), Jeju Island, South Korea, June, 2025. doi:10.18178/wcse.2025.06.017
  6. M. L. Wu and C. B. Cheng, “An adversarial strategy against AI-generated image manipulation,” in Proceedings of the International Conference on Technologies and Applications on Artificial Intelligence (TAAI 2024), Hsinchu, Taiwan, December, 2024.
  7. M. L. Wu, H. M. Choi, and C. W. Liu, “Refining judgment prediction in European human rights cases with deep learning,” in Proceedings of the International Conference on Technologies and Applications on Artificial Intelligence (TAAI 2024), Hsinchu, Taiwan, December, 2024.
  8. M. L. Wu, Y. R. Du, and D. H. Jiang, “Aesthetic evaluation system for calligraphy characters using convolutional neural networks,” in Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2024), Miyazaki, Japan, September, 2024, pp. 547~552. doi:10.1109/ICMLC63072.2024.10935004
  9. M. L. Wu, G. Lin, and P. C. Yu, “On the development of a legal penalty prediction system for drunk driving cases,” in Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2022), Toyama, Japan, September, 2022, pp. 124~129. doi:10.1109/ICMLC56445.2022.9941286
  10. C. S. Fahn, M. L. Wu, and S. K. Tsau, “An intelligent photographing guiding system based on compositional deep features and interpretable machine learning model,” in Proceedings of the International Conference on Pattern Recognition (ICPR 2021), Milan, Italy, January, 2021, pp. 7723~7729. doi:10.1109/ICPR48806.2021.9412284
  11. C. S. Fahn, Y. L. Wang, C. P. Lee, and M. L. Wu, “A novel Chinese reading comprehension model based on attention mechanism and convolutional neural networks,” in Proceedings of the International Conference on Machine Learning and Cybernetics (ICMLC 2020), Adelaide, Australia, December, 2020, pp. 27~33. doi:10.1109/ICMLC51923.2020.9469533
  12. C. S. Fahn, C. P. Lee, and M. L. Wu, “A cross-dataset evaluation of anti-face-spoofing methods using random forest and convolutional neural network,” in Proceedings of the Artificial Intelligence and Cloud Computing Conference (AICCC 2019), Kobe, Japan, December, 2019, pp. 89~96. doi:10.1145/3375959.3375985
  13. C. S. Fahn, J. Ling, M. Y. Yeh, and M. L. Wu, “A real-time cloud detection system using an end-to-end multiscale deep learning approach,” in Proceedings of the International Conference on Astronautics and Space Exploration (iCASE 2019), Hsinchu, Taiwan, November, 2019.
  14. C. S. Fahn, J. Ling, M. Y. Yeh, and M. L. Wu, “A novel cloud detection and satellite attitude planning method for capturing cloudless remote sensing images,” in Proceedings of the International Conference on Astronautics and Space Exploration (iCASE 2019), Hsinchu, Taiwan, November, 2019.
  15. C. S. Fahn, J. Ling, M. Y. Yeh, M. L. Wu, Y .C. Lan, W. Y. Chao, H. C. Wu, Y. C. Huang, and T. Y. Lu, “A novel cloud detection and satellite attitude planning method for capturing cloudless remote sensing images,” in Proceedings of the International Conference on Artificial Intelligence and Soft Computing (ICAISC 2019), Bangkok, Thailand, June, 2019.
  16. C. S. Fahn, C. Y. Pan, and M. L. Wu, “An aesthetic preference prediction system for assessing natural images based on photo complexity and composition evaluation,” in Proceedings of the IEEE Region 10 Conference (TENCON 2018), Jeju Island, South Korea, October, 2018, pp. 634~639. doi:10.1109/TENCON.2018.8650544
  17. M. L. Wu and C. S. Fahn, “A real-time professional photographing guiding system through image composition analysis,” in Proceedings of the International Conference on Human-Computer Interaction International (HCII 2017), Vancouver, Canada, July, 2017, pp. 466~477. doi:10.1007/978-3-319-57987-0_38
  18. C. S. Fahn, M. L. Wu, and C. C. Liu, “A surveillance video condensation system based on the spatial and temporal rearrangement of moving object trajectories,” in Proceedings of the International Conference on International Workshop on Advanced Image Technology (IWAIT 2017), Penang, Malaysia, January, 2017.
  19. M. L. Wu and C. S. Fahn, “A decision tree based image enhancement instruction system for producing contemporary style images,” in Proceedings of the International Conference on Human-Computer Interaction International (HCII 2016), Toronto, Canada, July, 2016, pp. 80~90. doi:10.1007/978-3-319-40349-6_9
  20. H. F. Ho, M. L. Wu, P. Y. Hsiao, and G. A. Chen, “Feasibility of an asymmetric hyperboloid mirror for surveillance systems,” in Proceedings of the International Conference on Digital Signal Processing (DSP 2015), Singapore, Singapore, July, 2015, pp. 868~872. doi:10.1109/ICDSP.2015.7252000
  21. C. S. Fahn, B. Y. Su, and M. L. Wu, “Vision-based identification extraction for freight containers,” in Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR 2015), Guangzhou, China, July, 2015, pp. 51~57. doi:10.1109/ICWAPR.2015.7295925
  22. C. S. Fahn, B. Y. Su, and M. L. Wu, “A virtual handwriting tablet based on pen shadow cues,” in Proceedings of the International Conference on Human-Computer Interaction International (HCII 2014), Crete, Greece, June, 2014, pp. 224~233. doi:10.1007/978-3-319-07230-2_22
  23. C. S. Fahn and M. L. Wu, “An autonomous aesthetics-driven photographing instructor with personality prediction,” in Proceedings of the International Conference on Computer Graphics,Visualization, Computer Vision, and Game Technology (CGVCVIP 2013), Jakarta, Indonesia, December, 2013, pp. 13~19. doi:10.2991/visio-13.2014.3
  24. C. S. Fahn, M. L. Wu, and W. T. Liu, “On the use of augmented reality technology for creating interactive computer games,” in Proceedings of the International Conference on Virtual, Augmented and Mixed Reality Systems (VAMR 2013), Las Vegas, Nevada, July, 2013, pp. 353~362. doi:10.1007/978-3-642-39420-1_37

國內研討會論文 Domestic Conference Papers

  1. G. Y. Chen and M. L. Wu, “SFFTT: A Shared-Parameter and Fast Fourier Transform Lite Transformer,” in Proceedings of the International Conference on Smart Computing Forum 智慧運算論壇 (SCF 2025), 台北, 中華民國, July, 2025. (最佳論文獎佳作)
  2. 吳孟倫, 鄭宇翔, 周騏軍, 陳冠宇, 林延昕 , “從判決到預測：台灣法院判決文之車禍慰撫金建模前處理研究,” in Proceedings of the Information Technology and Applications Conference 資訊科技應用國際學術研討會 (ITAC 2025), 台北, 中華民國, April, 2025. (最佳論文獎)
  3. Y. S. Chen, H. C. Chi, M. L. Wu, and E. C. Sung, “A machine learning based prediction system of medical laws judgment using statute-classified decision tree with text similarity,” in Proceedings of the Taiwan Academic Network Conference 台灣網際網路研討會 (TANET 2018), Taoyuan, Taiwan, October, 2018. (Best Paper Award)
  4. H. W. Yang, C. Y. Kao, and M. L. Wu, “The mechanisms of mobile devices for site to site instruction in tourist areas,” in Proceedings of the International Conference on Information Management & Practice 國際資訊管理暨實務研討會 (IMP 2015), Taichung, Taiwan (R.O.C.), November, 2015.
  5. Huei-Wen Yang, Chang-Yi Kao, and Meng-Luen Wu, “Online to offline guiding and promotion systems for international malls by the use of internet of things technology,” in Proceedings of the International Conference on Information Management & Practice 國際資訊管理暨實務研討會 (IMP 2015), Taichung, Taiwan (R.O.C.), November, 2015.
  6. H. W. Yang, C. Y. Kao, and M. L. Wu, “IoT based cross-site tourist guiding system through big data analysis,” in Proceedings of the International Conference on Taiwan Academic Network 台灣網際網路研討會 (TANET 2015), Nantou, Taiwan (R.O.C.), October, 2015.
  7. H. W. Yang, C. Y. Kao and M. L. Wu, “On the deployment of IoT technology for international malls,” in Proceedings of the Annual Conference of the Chinese Society for Management of Technology 中華民國科技管理學會 (TITA 2014), Hsinchu, Taiwan (R.O.C.), December, 2014.

專書論文 Book Chapters

  1. C. S. Fahn and M. L. Wu, “On the design of a photo beauty measurement mechanism,” in Perception of Beauty, M. P. Levine, Ed. Rijeka, Croatia: InTech Open, October, 2017. doi:10.5772/intechopen.69502

專利 Patents

  1. C. S. Fahn and M. L. Wu, “自動尋景拍攝方法及其系統,” R.O.C. Patent I532361, May, 2016.
  2. C. S. Fahn, M. L. Wu, and C. C. Liu, “一種影片濃縮之系統及方法,” R.O.C. Patent I511058, December, 2015.
  3. C. S. Fahn and M. L. Wu, “Automatic photographing method and system thereof,” U. S. Patent 9 106 838, August, 2015.