Yuxuan Liang
Yuxuan Liang
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Deep Learning
Unbiasing fairness evaluation of radiology AI model
Fairness of artificial intelligence and machine learning models, often caused by imbalanced datasets, has long been a concern. While …
Yuxuan Liang
,
Hanqing Chao
,
Jiajin Zhang
,
Ge Wang
,
Pingkun Yan
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Flipover to bolster model robustness
We proposed flipover, an new approach not only serves as a more effective regularization technique than conventional dropout, mitigating overfitting, but also introduces adversarial perturbations to gradients, enhancing resilience against adversairal attacks.
Wavefront modulation based on photorefractive effect and machine learning
We developed a deep learning method to realize programmable wavefront modulation based on photorefractive effect.
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