Feng Zhou
Artificial Intelligence · with Yang · 2019
A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Management Science and Operations Research — 13 citations into it; #10,627 of 11,946 by trust here, #10,893 by citations
- Computer Vision and Pattern Recognition — 12 citations into it
- Information Systems — 7 citations into it
- Model Architectures — 6 citations into it
Whom Feng Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiangnan He
- Yehuda Koren
- Steffen Rendle
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Christian Szegedy
- Ilya Sutskever
- Yoshua Bengio
- X. Zhang
Who trusts Feng Zhou overall
Papers from Feng Zhou's perspective
Ordered by how strongly the researchers Feng Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)