Wenyi Zhang

Artificial Intelligence · with Chen · 2019

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Federated & Distributed Learning — 7 citations into it
• Optimization & Training — 7 citations into it

Whom Wenyi Zhang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Boris Polyak
2. Ning Qian
3. Yann LeCun
4. H. Brendan McMahan
5. Alex Krizhevsky

Papers from Wenyi Zhang's perspective

Ordered by how strongly the researchers Wenyi Zhang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Accelerating Federated Learning via Momentum Gradient Descent (2019) — 346 citations