Yushi Wang

Optimization & Training · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Optimization & Training — 5 citations into it

Whom Yushi Wang trusts overall

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

1. Leslie G. Valiant
2. Tianbao Yang

Who trusts Yushi Wang overall

1. Qinbin Li
2. Adrian Nilsson
3. Zeyi Wen
4. Simon Smith
5. Zhaomin Wu
6. Gregor Ulm
7. Sawsan AbdulRahman
8. Bingsheng He
9. Emil Gustavsson

Papers from Yushi Wang's perspective

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

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

Their papers

• CO-OP: Cooperative Machine Learning from Mobile Devices (2017) — 32 citations