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國立陽明交通大學 科技管理研究所

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李昕潔 教授

李昕潔教授
 
李昕潔 教授/所長
886-3-5712121 ext.57519 
hero@nycu.edu.tw
新竹市大學路1001號綜合一館7F 720
研究方向
  • Machine Learning 機器學習
  • Computational Intelligence and Decision Support System 計算智慧與決策支援系統
  • Artificial Intelligence人工智慧– Smart Healthcare 智慧醫療& Fintech 金融科技
  • Data Science 資料科學
  • Technology Policy 科技政策
學歷
  • 英國曼徹斯特大學- 電腦科學(機器學習與優化組) 博士
  • 英國劍橋大學- 科技政策研究碩士
  • 英國雪菲爾大學- 電腦科學(高階軟體工程組) 科學工程碩士
榮譽/獲獎
  • Outstanding Academic Achievement of Queens’ College, University of Cambridge 2012
教學
  • 機器學習演算法與應用
  • 離散數學
  • 量化研究方法
  • 統計學
  • 計算機概論
  • 資訊科技導論
  • 人工智慧之商業應用
  • 科技與邏輯
  • 科技管理與科技政策議題
Selected Papers
 
SCI Journal Papers
  1. Zheng, H., Pan, C., Jin, X., Wozniak, M., Wang, P., Lee, S. -J., Jiang, Q. (2025, Aug). A pan-sharpening model using dual-branch attention-guided diffusion networks. Information Fusion, doi.org/10.1016/j.inffus.2025.103076.
  2. Jiang, Q., Wang, Q., Miao, S., Jin, X., Lee, S. -J., Wozniak, M., Yao, S. (2025, Jun). SR_ColorNet: Multi-path attention aggregated and mask enhanced network for the super resolution and colorization of panchromatic image. Expert Systems with Applications, doi.org/10.1016/j.eswa.2025.127091.
  3. Tseng, C. -H., Chien, S. -J., Wang, P. -S., Lee, S. -J., Pu, B., Zeng, X. -J. (2024, Sep). Real-Time Automatic M-Mode Echocardiography Measurement With Panel Attention. IEEE Journal of Biomedical and Health Informatics, vol. 28, no. 9. pp. 5383 – 5395.
  4. Jin, X., Liu, L., Ren, X., Jiang, Q., Lee, S. -J., Zhang, J., Yao, S. (2024, Jan). A restoration scheme for spatial and spectral resolution of panchromatic image using convolutional neural network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 17, pp. 3379 – 3393.
  5. Zhao, N., Li, X., Ma, Y., Wang, H., Lee, S. -J.*, Wang, J. (2024, Jan). Improved stacked ensemble with genetic algorithm for automatic ECG diagnosis of children living in high-altitude areas. Biomedical Signal Processing and Control, 87, 105506.
  6. Jin, X., Wang, R., Lee, S. J., Jiang, Q., Yao, S., & Zhou, W. (2023, Nov). Adversarial attacks on multi-focus image fusion models. Computers & Security, 2023, 134, 103455.
  7. Huang, Y., Liu, D. -R., Lee, S. -J. (2023, Jul). Talent recommendation based on attentive deep neural network and implicit relationships of resumes. Information Processing & Management, 60(4), 103357.
  8. Kang, Y., Wang, H., Pu, B., Liu, J., Lee, S. J., Yang, X., & Tao, L. (2023, Mar). TMHSCA: a novel hybrid two-stage mutation with a sine cosine algorithm for discounted {0-1} knapsack problems. Neural Computing and Applications, 35(17), 12691-12713
  9. Liao, H., Jiang, Q., Jin, X., Liu, L., Liu, L., Lee, S. -J., Zhou, W. (2022, Nov). MUGAN: Thermal Infrared Image Colorization Using Mixed-Skipping UNet and Generative Adversarial Network. IEEE Transactions on Intelligent Vehicles, doi 10.1109/TIV.2022.3218833.
  10. Liu, L., Jiang, Q., Jin, X., Feng, J., Wang, R., Liao, H., Lee, S. -J., Yao, S. (2022, Sep). CASR-Net: A color-aware super-resolution network for panchromatic image. Engineering Applications of Artificial Intelligence, vol. 114, pp. 105084.
  11. Jiang, Q., Lee, S. -J., Zeng, X. -J., Jin, X, Hou, J., Zhou, W., Yao, S. (2022, May). A Multi-focus Image Fusion Scheme Based on Similarity Measure of Transformed Isosceles Triangles between Intuitionistic Fuzzy Sets. IEEE Transactions on Instrumentation and Measurement, doi: 10.1109/TIM.2022.3169571.
  12. Huang, Y., Liu, D. -R., Lee, S. -J.*, Hsu, C. -H., Liu, Y. -G. (2022, Apr). A Boosting Resampling Method for Regression based on a Conditional Variational Autoencoder. Information Sciences, vol. 590, pp. 90-105.
  13. Jin, X., Huang, S., Jiang, Q., Lee, S. -J., Wu, L., Yao, S. (2021, Jun). Semisupervised Remote Sensing Image Fusion Using Multiscale Conditional Generative Adversarial Network with Siamese Structure. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14: 7066- 7084.
  14. Jiang, Q., Jin, X., Chen, G., Lee, S. -J., Cui, X., Yao, S., Wu, L. (2020, Dec). Two-Scale Decomposition-based Multifocus Image Fusion Framework Combined with Image Morphology and Fuzzy Set Theory. Information Sciences, vol. 541, pp. 442-474.
  15. Hsu, P. -Y., Yeh, I. -W., Tseng, C. -H. , Lee, S. -J. (2020, Aug). A Boosting Regression Based Method to Evaluate the Vital Essence in Semiconductor Industry Performance. IEEE Access, vol. 8, pp. 156208-156218.
  16. Lee, S. -J.#, Tseng, C. -H., Lin, G. T. –R., Yang, Y., Yang, P., Muhammad, K. P., Hari, M. (2020, Mar). A Dimension-Reduction based Multilayer Perception Method for Supporting the Medical Decision Making. Pattern Recognition Letters, vol. 131, p.p 15-22.
  17. Lee, S. -J.#, Tseng, C. -H., Lin, G. T. –R., Yang, Y., Yang, P., Muhammad, K. P., Hari, M. (2020, Mar). A Dimension-Reduction based Multilayer Perception Method for Supporting the Medical Decision Making. Pattern Recognition Letters, vol. 131, p.p 15-22.
  18. Jiang, Q., Jin, X., Lee, S. -J., Yao, S. (2019, Feb). A new similarity/distance measure between intuitionistic fuzzy sets based on the transformed isosceles triangles and its applications to pattern recognition. Expert Systems With Applications, vol. 116, pp. 439-453.
  19. Lai, C. –H., Lee, S. -J.*, Huang, H. –L. (2019, Jan). A social recommendation method based on the integration of social relationship and product popularity. International Journal of Human-Computer Studies, vol. 121, pp. 42-57.
  20. Jiang, Q., Jin, X., Hou, J., Lee, S. -J.*, Yao, S. (2018, Mar). Multi-Sensor Images Fusion based on Interval Type-2 Fuzzy Sets and Regional Features in Nonsubsampled Shearlet Transform Domain. IEEE Sensors journal, vol. 18, no. 6, pp. 2494-2505.
  21. Lee, S. –J.#, Xu, Z., Li, T., Yang, Y. (2018, Feb). A Novel Bagging C 4.5 Algorithm Based on Wrapper Feature Selection for Supporting Wise Clinical Decision Making. Journal of Biomedical Informatics, vol. 78, pp. 144-155.
  22. Jin, X., Jiang, Q., Yao, S., Zhou, D., Nie, R., Lee, S. –J., He, K. (2018, Jan). Infrared and Visual Images Fusion Method Based on Discrete Cosine Transform and Local Spatial Frequency in Discrete Stationary Wavelet Transform Domain. Infrared Physics & Technology, vol. 88, pp. 1-12.
  23. Jiang, Q., Jin, X., Lee, S. -J., Yao. S. (2017, Sep). Protein Secondary Structure Prediction: A Survey of the State of the Art. Journal of Molecular Graphics and Modelling, vol. 76, pp. 379-402.
  24. Wang, S. and Lee, S. -J. (2012, Oct). A Robust Boosting by Using an Adaptive Weight Scheme. Cybernetics and Systems, vol. 43, no. 7, pp. 567-584.
     
Conference Proceedings
  1. Su, C. -P., Tseng, C. -H., Pu, B., Zhao, L., Yang, J., Chen, Z., Lee, S. -J. (2025, Oct). EA-KD: Entropy-based Adaptive Knowledge Distillation. International Conference on Computer Vision, Hawaii, USA. (ICCV 2025), accepted.
  2. Tseng, C. -H., Liu, H. -C., Lee, S. -J., Zeng, X. -J. (2022, Jul). Perturbated Gradients Updating within Unit Space for Deep Learning. IJCNN at 2022 IEEE World Congress on Computational Intelligence Chairs, Padua, Italy. (IJCNN 2022)
  3. Feng, J., Jiang, Q., Jin, X., Tseng, C. -H., Lee, S. -J., Yao, S. (2021, Jul). CSRDNN: An Integrated Scheme for Single Satellite Image Colorization and Super-Resolution Using Deep Neural Networks. International Joint Conference on Neural Networks (IJCNN 2021).
  4. Huang, J., Jin, X., Fang, D., Lee, S. -J. (2020, Jul). New Entropy and Distance Measures of Intuitionistic Fuzzy Sets . 2020 IEEE International Conference on Fuzzy Systems, Glasgow, U.K.. (FUZZ-IEEE 2020)
  5. Lee, A. –W, Lin, G. T. -R, Kuo, W, -H, Lee, S. -J. (2017, Jul). The Application of Quality Function Deployment to Smartwatches: The House of Quality for Improved Product Design. Portland International Center for Management of Engineering and Technology 2017 (PICMET’17), Portland, USA.
  6. Lee, S. -J. and Zeng, X. -J. (2012, Jun). A similarity-based learning algorithm for fuzzy system identification with a two-layer optimization scheme. In: Fuzzy Systems (FUZZ-IEEE 2012), 2012 IEEE International Conference on. 10-15 June 2012. pp. 1-8.
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