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Author

Chak Fong Chong

Observed name: Chong, Chak Fong
ORCID: 0000-0003-2045-1776
Observed ORCID: 0000-0003-2045-1776
OpenAlex ID: A5058849662
Reparameterization convolutional neural networks for handling imbalanced datasets in solar panel fault classification
2025 · Jielong Guo, Chak Fong Chong, et al. · Engineering Applications of Artificial Intelligence · 14
Image projective transformation rectification with synthetic data for smartphone-captured chest X-ray photos classification
2023 · Chak Fong Chong, Yapeng Wang, et al. · Computers in Biology and Medicine · 11
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Category-Wise Fine-Tuning for Image Multi-label Classification with Partial Labels
2023 · Chak Fong Chong, Xu Yang, et al. · Communications in computer and information science · 10
Category-wise Fine-Tuning: Resisting incorrect pseudo-labels in multi-label image classification with partial labels
2025 · Chak Fong Chong, Xinyi Fang, et al. · Neurocomputing · 7
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Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery
2026 · Jianxiu Cai, Xinpo Lou, et al. · Bioresources and Bioprocessing · 5
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LogicMix: Sample mixing data augmentation for multi-label image classification with partial labels
2025 · Chak Fong Chong, Jielong Guo, et al. · Pattern Recognition · 5
GAN-based Spatial Transformation Adversarial Method for Disease Classification on CXR Photographs by Smartphones
2021 · Chak Fong Chong, Xu Yang, et al. · International Conference on Digital Image Computing: Techniques and Applications (DICTA) · 5
Enhancing the robustness of solar photovoltaic fault classification based on depthwise separable group equivariant CNNs
2025 · Jielong Guo, Chak Fong Chong, et al. · Alexandria Engineering Journal · 4
Investigating the key principles in two-step heterogeneous transfer learning for early laryngeal cancer identification
2025 · Xinyi Fang, Chak Fong Chong, et al. · Scientific Reports · 4
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EquArchNets: Equivariant Neural Networks-Based Approach for Foot Arch Classification Toward Variations in Foot Orientation
2025 · Jielong Guo, Chak Fong Chong, et al. · IEEE Sensors Journal · 2
On the Correlations between Performance of Deep Networks and Its Robustness to Common Image Perturbations in Medical Image Interpretation
2023 · Chak Fong Chong, Xinyi Fang, et al. · International Conference on Digital Image Computing: Techniques and Applications (DICTA) · 2
Enhancing Classification Performance in Knee Magnetic Resonance Imaging Using Adversarial Data Augmentation
2023 · Zhongbo Yan, Xu Yang, et al. · IEEE International Conference on Software Engineering and Service Science (ICSESS) · 2
Clustering Algorithms based Noise Identification from Air Pollution Monitoring Data
2022 · Xinyi Fang, Chak Fong Chong, et al. · IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE) · 1
Calibration-Aware Pseudo-labeling for Multi-label Image Learning with Partial Labels
2026 · Chak Fong Chong, Xu Yang, et al. · Lecture notes in computer science
mlcpl: A python package for deep multi-label image classification with partial-labels on PyTorch
2026 · Chak Fong Chong, Xu Yang, et al. · Neurocomputing
Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery
2026 · Cai, Jianxiu, Lou, Xinpo, et al. · Figshare
Additional file 1 of Multi-AOP: a lightweight multi-view deep learning framework for antioxidant peptide discovery
2026 · Cai, Jianxiu, Lou, Xinpo, et al. · Figshare
Deep Multi-Label Image Classification with Partial Labels
2025 · Chong, Chak Fong · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT)
Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification
2024 · Chong, Chak Fong, Guo, Jielong, et al. · arXiv (Cornell University)
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Works count: 19
Citation count: 72
H-index: 5
I10-index: 3
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