7 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 7 cited
Exploring Gradient Flow Based Saliency for DNN Model Compression
Xinyu Liu, Baopu Li, Zhen Chen +1
Model pruning aims to reduce the deep neural network (DNN) model size or computational overhead. Traditional model pruning methods such as l-1 pruning that evaluates the channel si…
cs.CV2021★ 3 cited
Personalized Retrogress-Resilient Framework for Real-World Medical Federated Learning
Zhen Chen, Meilu Zhu, Chen Yang +1
Nowadays, deep learning methods with large-scale datasets can produce clinically useful models for computer-aided diagnosis. However, the privacy and ethical concerns are increasin…
cs.CV2020★ 1 cited
Complementary Network with Adaptive Receptive Fields for Melanoma Segmentation
Xiaoqing Guo, Zhen Chen, Yixuan Yuan
Automatic melanoma segmentation in dermoscopic images is essential in computer-aided diagnosis of skin cancer. Existing methods may suffer from the hole and shrink problems with li…