Wei Shen, Fei Li, Rujie Liu. Learning to Find Correlated Features by Maximizing Information Flow in Convolutional Neural Networks. ICCVW2019.
Wei Shen, Ziqiang Shi, Jun Sun. Learning from Adversarial Features for Few-Shot Classification. https://arxiv.org/abs/1903.10225, 2019.
Wei Shen, Rujie Liu. Generating Attention from Classifier Activations for Fine-grained Recognition. https://arxiv.org/abs/1811.10770, 2018.
Wei Shen, Rujie Liu. Tackling Early Sparse Gradients in Softmax Activation Using Leaky Squared Euclidean Distance. https://arxiv.org/abs/1811.10779, 2018.
Wei Shen, Rujie Liu. Learning to generate filters for convolutional neural networks. https://arxiv.org/abs/1812.01894, 2018.
Wei Shen, Rujie Liu. Learning Residual Images for Face Attribute Manipulation. IEEE Conference on Computer Vision and Pattern Recognition, 2017.
Wei Shen, Mu Zhou, Feng Yang, et al. Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification. Pattern Recognition, 2017.
Wei Shen, Mu Zhou, Feng Yang, et al. Learning from Experts: Developing Transferable Deep Features for Patient-Level Lung Cancer Prediction. International Conference on Medical Image Computing and Computer-Assisted Intervention. 2016 (acceptance rate ~25%).
Wei Shen, Mu Zhou, Feng Yang, et al. Multi-scale convolutional neural networks for lung nodule classification. International Conference on Information Processing in Medical Imaging. 2015 (acceptance rate ~27%).