Zeng Fu
Artificial Intelligence · 2018
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 38 citations into it; #27,012 of 35,345 by trust here, #19,018 by citations
- Optimization & Training — 16 citations into it
- Computational Mechanics — 8 citations into it
- Health Information Management — 6 citations into it
Whom Zeng Fu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Zeng Fu overall
Papers from Zeng Fu's perspective
Ordered by how strongly the researchers Zeng Fu trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions