Chun-Rong Huang

查看斯高帕斯 (Scopus) 概要

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每年研究成果

教育/學術資格

PhD, 電機工程(學)系, National Cheng Kung University

指紋

查看啟用 Chun-Rong Huang 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。

1 類似的個人檔案

38 Conference contribution
38 Article
2 Paper
1 Conference article
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- 1 Editorial

A Diffusion Model-based Data Augmentation Framework to Enhance Few-Shot Fine-Grained Image Classification
Tsai, Y. H., Chang, J. F. & Huang, C. R., 2026, 2026 International Conference on Advances in Artificial Intelligence and Machine Learning, AAIML 2026. Institute of Electrical and Electronics Engineers Inc., p. 471-476 6 p. (2026 International Conference on Advances in Artificial Intelligence and Machine Learning, AAIML 2026).
研究成果 › 同行評審
ReHeartNet: Reconstruct Electrocardiogram From Photoplethysmography by Using Dense Connected Deep Learning Model
Lee, S. Y., Lei, K. Z., Chen, J. Y. & Huang, C. R., 2026, 於: IEEE Open Journal of Engineering in Medicine and Biology. 7, p. 106-112 7 p.
研究成果: Article › 同行評審

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Segmentation domain adaptation for enhanced white blood cell classification using spatial co-occurrence feature embedding
Wu, L. W., Huang, C. R. & Ouyang, Y. C., 2月 2026, 於: Biomedical Signal Processing and Control. 112, 108529.
研究成果: Article › 同行評審
3 引文斯高帕斯（Scopus）
Spatiotemporal Deformable Transformer for Lung Cancer Risk Prediction Using Low-Dose CT Images
Chang, Y. H., Lin, Y. H., Meng, H. C., Wu, S., Lin, Y. Y. & Huang, C. R., 1 7月 2026, 於: IEEE Transactions on Radiation and Plasma Medical Sciences. 10, 6, p. 861-871 11 p.
研究成果: Article › 同行評審

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2 引文斯高帕斯（Scopus）
Using Class and Domain Information to Address Domain Shift in Federated Learning
Chiou, C. Y., Huang, C. R., Latour, L. L., Fann, Y. C. & Chung, P. C., 2026, (Accepted/In press) 於: IEEE Transactions on Neural Networks and Learning Systems.
研究成果: Article › 同行評審

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黃春融

個人檔案

教育/學術資格

指紋

過去五年中的合作和熱門研究領域

深入探索詳細資料

A Diffusion Model-based Data Augmentation Framework to Enhance Few-Shot Fine-Grained Image Classification

ReHeartNet: Reconstruct Electrocardiogram From Photoplethysmography by Using Dense Connected Deep Learning Model

Segmentation domain adaptation for enhanced white blood cell classification using spatial co-occurrence feature embedding

Spatiotemporal Deformable Transformer for Lung Cancer Risk Prediction Using Low-Dose CT Images

Using Class and Domain Information to Address Domain Shift in Federated Learning

黃 春融

個人檔案

教育/學術資格

指紋

過去五年中的合作和熱門研究領域

研究成果

A Diffusion Model-based Data Augmentation Framework to Enhance Few-Shot Fine-Grained Image Classification

ReHeartNet: Reconstruct Electrocardiogram From Photoplethysmography by Using Dense Connected Deep Learning Model

Segmentation domain adaptation for enhanced white blood cell classification using spatial co-occurrence feature embedding

Spatiotemporal Deformable Transformer for Lung Cancer Risk Prediction Using Low-Dose CT Images

Using Class and Domain Information to Address Domain Shift in Federated Learning

黃春融