Fanfeng Meng
IEEE Access · 2018
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Fanfeng Meng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Fanfeng Meng's perspective
Ordered by how strongly the researchers Fanfeng Meng trusts endorse each paper. Same corpus, a different order for every researcher.
- Going deeper with convolutions
- Visualizing and Understanding Convolutional Networks
- Caffe: Convolutional Architecture for Fast Feature Embedding
- cuDNN: Efficient Primitives for Deep Learning
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Deep Learning
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Identification of Maize Leaf Diseases Using Improved Deep Convolutional Neural Networks (2018) — 514 citations