Jiayu Wu
Artificial Intelligence · 2017
A researcher in the Science corpus: 1 paper; trusts 36 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 11 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Optimization & Training — 7 citations into it
- Model Architectures — 6 citations into it
Whom Jiayu Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- L. Eon Bottou
- Geoffrey E. Hinton
- Christian Szegedy
- Sergey Ioffe
- Karen Simonyan
- Yoshua Bengio
- Ilya Sutskever
- Sepp Hochreiter
Who trusts Jiayu Wu overall
- Shipeng Wang
- S. H. Shabbeer Basha
- Simone Magistri
- Sameer Wagh
- Shiv Ram Dubey
- Xiaorong Li
- A. Queiruga
- Tomaso Trinci
- Shruti Tople
Papers from Jiayu Wu's perspective
Ordered by how strongly the researchers Jiayu Wu 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)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Tiny ImageNet Challenge (2017)