中央內容區塊
專任教授

Che-Lun Hung

 

Personal Profile
Che-Lun Hung
Professor, Institute of Biomedical Informatics
PhD of Computer Science, National Tsing Hua University, Taiwan
Field of Interest: Smart Medicine, Deep Learning, Medical Image Analysis, Bioinformatics Computing, High Performance Computing
Office: R327-2, 3F, SoRen Building
Phone: 886-2-28267349
Email: clhung@nycu.edu.tw

Research Interests
  • 研究興趣 (Research Interests)：
    • 智慧醫療(Smart Medicine)
    • 深度學習(Deep Learning)
    • 醫學影像分析(Medical Image Analysis)
    • 生物資訊計算(Bioinformatics Computing)
    • 高效能計算(High Performance Computing)
  • 代表性榮譽 (Representative honors)：
    • 2019-2014年 陸續擔任IEEE國際會議的Program Member
    • 2019-2014年 在固定與IEEE會議共同舉辦International Workshop on Embedded Multi-Core computing and Applications，擔任workshop chair
    • 2017年 擔任International Conference on Smart Data (SmartData-2017)的Program Chair
  • 代表性專利 (Representative Patents)：
    • Method and manager physical machine for virtual machine consolidat ion     2014/06

Publications
  • 近五年發表代表著作 (Selected Publications)：
    1. Wu-Chun Chung, Chao-Ai Lo, Yan-Hui Lin, Zhi-Hao Chen, Che-Lun Hung*, (2026/02), Decentralized Federated Learning with Non-IID Data: Challenges, Trends, and Future Opportunities, ACM Computing Surveys, Vol.58(8), pp. 1-41 (SCI IF=28.0) Ranking (1/147).
    2. Tse-Hsien Lu, Wu-Chun Chung, Chung-Lieh Hung, Che-Lun Hung*, (2025/07), Edge-Cloud deep learning computing for detecting heart failure with preserved ejection fraction on cardiac ultrasound, Expert Systems with Applications, pp. 128985 (SCI IF=7.5) Ranking (37/368).
    3. Sulagna Mohapatra, Chun-Ying Wu, Pushpanjali Gupta, Yao-Chun Hsu, Che-Lun Hung, Yuan-Chia Chu, Chia-Sheng Chu, Teng-Yu Lee, (2025/05), Sa2045: ENHANCING NON-INVASIVE FOCAL LIVER LESION DIAGNOSIS: EXPLAINABLE ARTIFICIAL INTELLIGENCE-DRIVEN RADIOMICS ANALYSIS WITH NON-CONTRAST MRI, Gastroenterology, vol.169(1), pp. S-629 (SCI IF=25.1) Ranking (5/147).
    4. Pushpanjali Gupta, Chun-Ying Wu, Sulagna Mohapatra, Che-Lun Hung, Yao-Chun Hsu, Yuan-Chia Chu, Chia-Sheng Chu, Teng-Yu Lee, (2025/05), Sa2033: TRANSPARENT AI-DRIVEN METHODOLOGY FOR DEMONSTRATING THE ADEQUACY OF NON-CONTRAST COMPUTED TOMOGRAPHY IN THE DIAGNOSIS OF FOCAL LIVER LESIONS THROUGH THE INTEGRATION OF RADIOMICS, CLINICAL INSIGHTS: A COMPREHENSIVE THREEDIMENSIONAL STUDY, Gastroenterology, vol.169(1), pp. S-629 (SCI IF=25.1) Ranking (5/147).
    5. YA-Ching Yang, Wu-Chun Chung, Chun-Ying Wu, Che-Lun Hung*, Yi-Ju Chen, (2025/06), Skin Disease Classification Using Transfer Learning Model and Fusion Strategy, Intelligence-Based Medicine, pp. 100271 (IF=3.9).
    6. Jian-An Chen, Wu-Chun Chung, Che-Lun Hung*, Chun-Ying Wu, (2025/05), Identifying Disinformation on the Extended Impacts of COVID-19: Methodological Investigation Using a Fuzzy Ranking Ensemble of Natural Language Processing Models, Journal of Medical Internet Research, vol.27, pp. e73601 (SCI IF=6.0) Ranking (12/185).
    7. Jian Wen Chen, Wan Ju Lin, Kuan Ming Li, Dariusz Mrozek, Che Lun Hung*, (2025/03), Promoting Accurate Image Reconstruction via Synthetic Noise for Unsupervised Screw Anomaly Detection and Location, IEEE Transactions on Instrumentation and Measurement, (SCI IF=5.9) Ranking (7/79).
    8. Maciej Olszewski, Bożena Małysiak-Mrozek, Krzysztof Tokarz, Bolesław Pochopień, Che-Lun Hung, Andrzej Pułka, Dariusz Mrozek, (2025/1), Effective Detection and Recognition of Traffic Signs with Light Convolutional Neural Networks, Procedia Computer Science, vol.270, pp. 4469-4478.
    9. Pushpanjali Gupta, Yao-Chun Hsu, Li-Lin Liang, Yuan-Chia Chu, Chia-Sheng Chu, Jaw-Liang Wu, Jian-An Chen, Wei-Hsiu Tseng, Ya-Ching Yang, Teng-Yu Lee, Che-Lun Hung*, Chun-Ying Wu, (2025/01), Automatic localization and deep convolutional generative adversarial network‐based classification of focal liver lesions in computed tomography images: A preliminary study, Journal of Gastroenterology and Hepatology, vol.40(1), pp. 166-176 (SCI IF 3.7) Ranking (40/143).
    10. Bożena Małysiak-Mrozek, Bartłomiej Ryba, Marek Molęda, Che-Lun Hung*, Witold Pedrycz, Weiping Ding, Dariusz Mrozek, (2024/06), Interpreting Industrial IoT Data Streams through Fuzzy Querying with Hysteretic Fuzzy Sets on Apache Kafka, IEEE Transactions on Fuzzy Systems, vol.32(8), pp. 4671-4684 (SCI IF 11.9) Ranking (11/368).
    11. Chayanee Sae-Lim, Wen-Pei Wu, Ming-Che Chang, Hung-Wen Lai, Shu-Tian Chen, Chen-Te Chou, Chiung‑Ying Liao, Hsin-I Huang, Shou-Tung Chen, Dar-Ren Chen, Che-Lun Hung, (2024/01), Reliability of predicting low-burden (≤ 2) positive axillary lymph nodes indicating sentinel lymph node biopsy in primary operable breast cancer — a retrospective comparative study with PET/CT and breast MRI, World Journal of Surgical Oncology, vol.22(1), pp.12 (SCI IF 3.2) Ranking (44/213).
    12. Shu-Tian Chen, Hung-Wen Lai, Julia Huei-Mei Chang, Chiung-Ying Liao, Tzu-Cheng Wen, Wen-Pei Wu, Hwa-Koon Wu, Ying-Jen Lin, Yu-Jun Chang, Shou-Tung Chen, Dar-Ren Chen, Hsin-I Huang, Che-Lun Hung*, (2023/11), Diagnostic accuracy of pre-operative breast magnetic resonance imaging (MRI) in predicting axillary lymph node metastasis: variations in intrinsic subtypes, and strategy to improve negative predictive value—an analysis of 2473 invasive breast cancer patients, Breast Cancer, vol.30(6), pp. 976-985 (SCI IF=4.0) Ranking (17/85).
    13. Chao-Kuei Juan, Yu-Hao Su, Chen-Yi Wu, Chi-Shun Yang, Chung-Hao Hsu, Che-Lun Hung*, Yi-Ju Chen, (2023/10), Deep convolutional neural network with fusion strategy for skin cancer recognition: model development and validation, Scientific Reports, vol.13(1), pp.17087 (SCI IF=4.6) Ranking (22/73).
    14. Che-Lun Hung*, Keng-Hung Lin, fatta, Dariusz Mrozek, Yin-Te Tsai, Chun-Hsien Lin, (2023/06), The classification of stages of epiretinal membrane using convolutional neural network on optical coherence tomography image, Methods, vol.214, pp.28-34 (SCI IF=4.8) Ranking (12/77).
    15. Wu-Chun Chung, Yung-Chin Chang, Ching-Hsien Hsu, Chih-Hung Chang, Che-Lun Hung*, (2023/01), Federated Feature Concatenate Method for Heterogeneous Computing in Federated Learning, CMC-COMPUTERS MATERIALS & CONTINUA, vol. 75(1), pp. 351-371 (SCI IF=3.1) Ranking (188/344).
    16. Hui-Jun Cheng, Ching-Hsien Hsu, Che-Lun Hung, Chun-Yuan Lin, (2022/06), A review for cell and particle tracking on microscopy images using algorithms and deep learning technologies, Biomedical Journal, vol.45(3), pp.465-471 (SCI IF=4.380) Ranking (172/72).
    17. Wan-Ju Lin, Jian-Wen Chen, Hong-Tsu Young, Che-Lun Hung, Kuan-Ming Li, (2021/10), Developing the Smart Sorting Screw System Based on Deep Learning Approaches, Applied Sciences, vol. 11(20), pp. 9751 (SCI IF=2.700) Ranking (42/90).
    18. Wan-Ju Lin, Jian-Wen Chen, Jian-Ping Jhuang, Meng-Shiun Tsai, Che-Lun Hung*, Kuan-Ming Li, Hong-Tsu Young, (2021/10), Integrating object detection and image segmentation for detecting the tool wear area on stitched image, Scientific Reports, vol.11(1), pp. 21729 (SCI IF=3.9) Ranking (22/73).
    19. Jian-Wen Chen, Wan-Ju Lin, Chun-Yuan Lin, Che-Lun Hung, Chen-Pang Hou, Chuan-Yi Tang, (2021/09), An Automatic Bleeding-Rank System for Transurethral Resection of the Prostate Surgery Videos Using Machine Learning, Diagnostics, vol.11(10), pp. 1767 (SCI IF=3.706) Ranking (45/167).
    20. Chih-Hung Chang, Tse-Chuan Hsu, William Cheng-Chung Chu, Che-Lun Hung, Ping-Fang Chiu, (2021/03), A Smart Service Warehousing Platform Supporting Big Data Deep Learning Modeling Analysis, Journal of Internet Technology, vol.22(2), pp. 483-489 (SCI IF=0.786) Ranking (146/162).
    21. Jian-Wen Chen, Wan-Ju Lin, Hui-Jun Cheng, Che-Lun Hung*, Chun-Yuan Lin, Shu-Pei Chen, (2021/02), A smartphone-based application for scale pest detection using multiple-object detection methods, Electronics, vol.10(4), pp. 372 (SCI IF=2.412) Ranking (145/273).