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ORCIDChak Fong Chong
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2020 – today
- 2024
[i4]Chak Fong Chong, Xinyi Fang, Jielong Guo, Yapeng Wang, Wei Ke, Chan-Tong Lam, Sio Kei Im:
Category-wise Fine-Tuning: Resisting Incorrect Pseudo-Labels in Multi-Label Image Classification with Partial Labels. CoRR abs/2401.16991 (2024)- [i3]Xinyi Fang, Chak Fong Chong, Kei Long Wong, Yapeng Wang, Wei Ke, Tiankui Zhang, Sio Kei Im:
Analysis of the Two-Step Heterogeneous Transfer Learning for Laryngeal Blood Vessel Classification: Issue and Improvement. CoRR abs/2402.19001 (2024) - [i2]Chak Fong Chong, Jielong Guo, Xu Yang, Wei Ke, Yapeng Wang:
Free Performance Gain from Mixing Multiple Partially Labeled Samples in Multi-label Image Classification. CoRR abs/2405.15860 (2024) - 2023
- [j1]Chak Fong Chong
, Yapeng Wang, Benjamin K. Ng, Wuman Luo, Xu Yang:
Image projective transformation rectification with synthetic data for smartphone-captured chest X-ray photos classification. Comput. Biol. Medicine 164: 107277 (2023) - [c3]Chak Fong Chong, Xinyi Fang, Xu Yang, Wuman Luo, Yapeng Wang:
On the Correlations between Performance of Deep Networks and Its Robustness to Common Image Perturbations in Medical Image Interpretation. DICTA 2023: 426-433 - [c2]Chak Fong Chong, Xu Yang, Tenglong Wang, Wei Ke, Yapeng Wang:
Category-Wise Fine-Tuning for Image Multi-label Classification with Partial Labels. ICONIP (11) 2023: 332-345 - 2022
- [i1]Chak Fong Chong, Yapeng Wang, Benjamin K. Ng, Xu Yang:
Projective Transformation Rectification for Camera-captured Chest X-ray Photograph Interpretation with Synthetic Data. CoRR abs/2210.05954 (2022) - 2021
- [c1]Chak Fong Chong, Xu Yang, Wei Ke, Yapeng Wang:
GAN-based Spatial Transformation Adversarial Method for Disease Classification on CXR Photographs by Smartphones. DICTA 2021: 1-8
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