1. V. V. Khilenko, S. P. Denysiuk, H. S. Bielokha, O. V. Stepanov, and L.-W. Kang, "Optimizing the control of a transactive energy system with periodically changing architecture based on Internet of energy," Herald of Advanced Information Technology, vol. 9, no. 1, pp. 85-99, Feb. 2026.
  2. S.-Y. Chen, Y.-C. Wu, Y.-M. Kuo, R.-H. Zhang, T.-Y. Cheng, Y.-C. Chen, P.-Y. Chu, L.-W. Kang, and C. Lin, "Automated peanut defect detection using hyperspectral imaging and deep learning: A real-time approach for smart agriculture," Smart Agricultural Technology, vol. 11, Aug. 2025.
  3. C.-H. Yeh, H.-F. Yang, M.-J. Chen, and L.-W. Kang, "Image Inpainting based on GAN-driven Structure-and Texture-aware Learning with Application to Object Removal," Applied Soft Computing, Volume 161, August 2024.
  4. C.-H. Yeh, Z.-X. Zhan, and L.-W. Kang, "Two-stage deep image restoration network with application to single image shadow removal," Applied Soft Computing, Volume 167, Part A, December 2024, 112315.
  5. C.-H. Yeh, H.-F. Yang, Y.-Y. Lin, W.-J. Huang, F.-H. Tsai, and L.-W. Kang, "Fine-grained video super-resolution via spatial-temporal learning and image detail enhancement," Engineering Applications of Artificial Intelligence, Volume 131, May 2024.
  6. Z.-Y. Deng, H.-H. Chiang, L.-W. Kang, and H.-C. Li, "A lightweight deep learning model for real-time face recognition," IET Image Processing, vol. 17, no. 13, pp. 3869–3883, Nov. 2023.
  7. C.-C. Hsu, L.-W. Kang, S.-Y. Chen, I.-S. Wang, C.-H. Hong, and C.-Y. Chang, "Deep Learning-based Vehicle Trajectory Prediction based on Generative Adversarial Network for Autonomous Driving Applications," Multimedia Tools and Applications, Volume 82, pages 10763–10780, 2023.
  8. C.-H. Yeh, C.-H. Lin, L.-W. Kang, C.-H. Huang, M.-H. Lin, C.-Y. Chang, and C.-C. Wang, "Lightweight Deep Neural Network for Joint Learning of Underwater Object Detection and Color Conversion," vol. 33, no. 11, pp. 6129-6143, Nov. 2022.
  9. C.-H. Yeh, C.-H. Lin, M.-H. Lin, L.-W. Kang, C.-H. Huang, and M.-J. Chen, “Deep learning-based compressed image artifacts reduction based on multi-scale image fusion,” Information Fusion (in press).
  10. C.-Y. Lin, Z. Tao, A.-S. Xu, L.-W. Kang, and F. Akhyar, “Sequential dual attention network for rain streak removal in a single image,” IEEE Trans. Image Process., vol. 29, pp. 9250-9265, 2020.
  11. C.-H. Yeh, C.-H. Huang, and L.-W. Kang, “Multi-scale deep residual learning-based single image haze removal via image decomposition,” IEEE Trans. Image Process., vol. 29, pp. 3153-3167, 2020.
  12. C.-H. Yeh, M.-H. Lin, P.-C. Chang, and L.-W. Kang, “Enhanced visual attention-guided deep neural networks for image classification,” IEEE Access, vol. 8, pp. 163447–163457, Sep. 2020.
  13. C.-Y. Lin, Li-Wei Kang, T.-Y. Huang, and M.-K. Chang, "A novel non-negative matrix factorization technique for decomposition of Chinese characters with application to secret sharing," EURASIP Journal on Advances in Signal Processing, Aug. 2019.
  14. C.-H. Yeh, W.-Y. Tseng, L.-W. Kang, C.-W. Lee, K. Muchtar, and M.-J. Chen, “Coding unit complexity-based predictions of coding unit depth and prediction unit mode for efficient HEVC-to-SHVC transcoding with quality scalability,” Journal of Visual Communication and Image Representation, vol. 55, pp. 342–351, Aug. 2018.
  15. L.-W. Kang, C.-Y. Tseng, C.-L. Jheng, M.-F. Weng, and C.-Y. Hsu, “Cluster-based saliency-guided content-aware image retargeting,” Journal of Electronic Science and Technology, vol. 15, no. 2, June 2017.
  16. C.-C. Hsu, L.-W. Kang, and C.-W. Lin, “Temporally coherent superresolution of textured video via dynamic texture synthesis,” IEEE Trans. on Image Processing, vol. 24, no. 3, pp. 919–931, March 2015.
  17. L.-W. Kang, C.-C. Hsu, B. Zhuang, C.-W. Lin, and C.-H. Yeh, “Learning-based joint super-resolution and deblocking for a highly compressed image,” IEEE Trans. on Multimedia, vol. 17, no. 7, pp. 921-934, July 2015.
  18. D.-A. Huang, L.-W. Kang, Y.-C. F. Wang, and C.-W. Lin, “Self-learning based image decomposition with applications to single image denoising,” IEEE Trans. on Multimedia, vol. 16, no. 1, pp. 83–93, Jan. 2014.
  19. C.-H. Yeh, L.-W. Kang, Y.-W. Chiou, C.-W. Lin, and S.-J. Fan Jiang, “Self-learning-based post-processing for image/video deblocking via sparse representation,” Journal of Visual Communication and Image Representation, vol. 25, no. 5, pp. 891–903, July 2014.
  20. C.-H. Yeh, C.-Y. Lin, K. Muchtar, and L.-W. Kang, “Real-time background modeling based on a multi-level texture description,” Information Sciences, vol. 269, pp. 106–127, June 2014.
  21. D.-Y. Chen, C.-C. Chen, and L.-W. Kang, “Visual depth guided color image rain streaks removal using sparse coding,” IEEE Trans. on Circuits and Systems for Video Technology, vol. 24, no. 8, pp. 1430–1455, Aug. 2014.

  1. P.-Y Yen and L.-W. Kang, "Spatially adaptive and flexible deep network for blind compressed image reconstruction," International Workshop on Advanced Imaging Technology (IWAIT), pp. 189-194, 2026.
  2. A. Catherina, B. Prihasto, B. M. Pratama, L.-W. Kang, and J.-C. Wang, "A Hybrid Attention Mechanism to Improve Tacotron 2 Performance for Indonesian Text-to-Speech Synthesis," Proc. Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Singapore, Singapore, 2025, pp. 579-582.
  3. W.-Y. Li, C.-M. Lee, C.-C. Hsu, V. Khylenko, and L.-W. Kang, "Two-Stage Transformer-Based Deep Hyperspectral and Multispectral Image Fusion Network for Hyperspectral Image Super-Resolution," Proc. Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), Singapore, Singapore, 2025, pp. 2330-2335.
  4. C.-M. Lee, Y.-F. Lin, Y.-H. Ho, L.-W. Kang, and C.-C. Hsu, "HyFusion: Enhanced Reception Field Transformer for Hyperspectral Image Fusion," Proc. IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 2168-2172.
  5. C.-M. Lee, Y.-F. Lin, L.-W. Kang and C.-C. Hsu, "Robust Hyperspectral Image Pansharpening via Sparse Spatial-Spectral Representation," Proc. IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025, pp. 2196-2201.
  6. B.-A Chen and L.-W. Kang, "Evaluation on video super-resolution via self-supervision-guided generative adversarial network with image denoising," Proc. International Workshop on Advanced Imaging Technology (IWAIT), 2025.
  7. Z.-Y. Deng, L.-W. Kang, and H.-H. Chiang, "Automatic Multi-Sensor Dataset Generation in Autonomous Vehicle Environments," Proc. International Conference on Machine Learning and Cybernetics (ICMLC), Miyazaki, Japan, 2024, pp. 146-151.
  8. Z.-Y. Deng, L.-W. Kang, H.-H. Chiang, and H.-C. Li, "Integration of Robotic Vision and Automatic Tool Changer Based on Sequential Motion Primitive for Performing Assembly Tasks," IFAC-PapersOnLine, vol. 56, no. 2, pp. 5320-5325., 2023.
  9. C.-H. Yeh, D. Chiu, L.-W. Kang, C.-C. Hsu, and C. Lo, "Generative Adversarial Networks-based Face Hallucination with Identity-Preserving," Proc. IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW), 2021.
  10. G.-X. Zeng, Y.-H. Hou, P.-C. Su, and L.-W. Kang, "Scene Text-Line Extraction with Fully Convolutional Network and Refined Proposals," Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2020.Proc.
  11. L.-W. Kang, C.-C. Hsu, I.-S. Wang, T.-L. Liu, S.-Y. Chen, and C.-Y. Chang, "Vehicle trajectory prediction based on social generative adversarial network for self-driving car applications," Proc. International Symposium on Computer, Consumer and Control (IS3C), 2020.
  12. L.-W. Kang, C. Lo, and C.-H. Yeh, "Deep Learning-based Moiré Pattern Removal from a Single Image: A Survey and Comparative Study," Proc. IEEE International Conference on Consumer Electronics-Taiwan, Sept. 2020.
  13. C.-C. Hsu, L.-W. Kang, C.-Y. Lee, J.-Y. Lee, Z.-X. Zhang, and S.-M. Wu, "Popularity prediction of social media based on multi-modal feature mining," Proc. ACM Multimedia, 2019.
  14. L.-W. Kang, I.-S. Wang, K.-L. Chou, S.-Y. Chen, and C.-Y. Chang, "Image-based real-time fire detection using deep learning with data augmentation for vision-based surveillance applications," Proc. IEEE International Conference on Advanced Video and Signal Based Surveillance, Sept. 2019.
  15. M.-H. Lin, C.-H. Yeh, C.-H. Lin, C.-H. Huang, and L.-W. Kang, "Deep multi-scale residual learning-based blocking artifacts reduction for compressed images," Proc. IEEE International Conference on Artificial Intelligence Circuits and Systems, 2019.
  16. C.-H. Yeh, C.-H. Huang, L.-W. Kang, and M.-H. Lin, "Single image dehazing via deep learning-based image restoration," Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Nov. 2018.
  17. C.-Y. Hsu, L.-W. Kang, H.-Y. Lin, R.-H. Fu, C.-Y. Lin, M.-F. Weng, and D.-Y. Chen, "Depth-based feature extraction-guided automatic identification tracking of steel products for smart manufacturing in steel 4.0," Proc. IEEE International Conference on Applied System Invention (ICASI), 2018.
  18. C.-Y. Hsu, C.-M. Chang, L.-W. Kang, R.-H. Fu, D.-Y. Chen, and M.-F. Weng
  19. L.-W. Kang, Y.-T. Chen, W.-C. Jhong, and C.-Y. Hsu, "Deep learning-based identification of steel products," Proc.
  20. L.-W. Kang, K.-L. Chou, and R.-H. Fu, "Deep Learning-based weather image recognition," Proc. International Symposium on Computer, Consumer and Control (IS3C), 2018.
  21. L.-W. Kang, T.-Z. Feng, and R.-H. Fu, "Inception network-based weather image classification with pre-filtering process," Proc. International Computer Symposium, 2018.

名稱 開始日期 結束日期 委託單位 編號 參與身份別
應用於高光譜影像重建之深度學習模型設計及其在對抗式攻擊中的穩健性研究 (3/3) 2027/08/01 2028/07/31 國科會 NSTC 114-2221-E-003-001-MY3 主持人
應用於高光譜影像重建之深度學習模型設計及其在對抗式攻擊中的穩健性研究 (2/3) 2026/08/01 2027/07/31 國科會 NSTC 114-2221-E-003-001-MY3 主持人
應用於高光譜影像重建之深度學習模型設計及其在對抗式攻擊中的穩健性研究 (1/3) 2025/08/01 2026/07/31 國科會 NSTC 114-2221-E-003-001-MY3 主持人
道路潛在危險行為預測之次世代行車助理系統(4/4) 2025/06/01 2026/05/31 國科會 NSTC 114-2218-E-035-001 主持人
基於跨領域深度學習之影像品質回復及其應用之研究 (3/3) 2024/08/01 2025/07/31 國科會 NSTC 111-2221-E-003-019-MY3 主持人
基於跨領域深度學習之影像品質回復及其應用之研究 (2/3) 2023/08/01 2024/07/31 國科會 NSTC 111-2221-E-003-019-MY3 主持人
基於跨領域深度學習之影像品質回復及其應用之研究 (1/3) 2022/08/01 2023/07/31 國科會 NSTC 111-2221-E-003-019-MY3 主持人
基於深度學習之鋼材辨識/身分識別於鋼鐵智慧製造之應用及廠房人員安全維護之研究(3/3) 2021/08/01 2022/12/31 科技部(原國科會) MOST 108-2221-E-003-027-MY3 主持人
基於深度學習之鋼材辨識/身分識別於鋼鐵智慧製造之應用及廠房人員安全維護之研究(2/3) 2020/08/01 2021/07/31 科技部(原國科會) MOST 108-2221-E-003-027-MY3 主持人
基於深度學習之鋼材辨識/身分識別於鋼鐵智慧製造之應用及廠房人員安全維護之研究(1/3) 2019/08/01 2020/07/31 科技部(原國科會) MOST 108-2221-E-003-027-MY3 主持人
電腦視覺於工業4.0應用之研究-智動化鋼材表面缺陷檢測技術研發(3/3) 2018/08/01 2019/07/31 科技部(原國科會) MOST 105-2628-E-224-001-MY3 主持人
電腦視覺於工業4.0應用之研究-智動化鋼材表面缺陷檢測技術研發(2/3) 2017/08/01 2018/07/31 科技部(原國科會) MOST 105-2628-E-224-001-MY3 主持人
電腦視覺於工業4.0應用之研究-智動化鋼材表面缺陷檢測技術研發(1/3) 2016/08/01 2017/07/31 科技部(原國科會) MOST 105-2628-E-224-001-MY3 主持人

  1. L.-W. Kang, C.-M. Yu, C.-Y. Lin, and C.-H. Yeh, Image and video restoration and enhancement via sparse representation. In Biometrics: Concepts, Methodologies, Tools, and Applications, 2017.