Shengyu Zhang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #24,570 of 35,345 by trust here, #20,836 by citations
• Computer Vision and Pattern Recognition — 15 citations into it
• Optimization & Training — 8 citations into it; #2,005 of 2,601 by trust here, #1,804 by citations

Whom Shengyu Zhang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Christian Szegedy
4. Geoffrey E. Hinton
5. X. Zhang
6. David Martin Ward Powers
7. Jia Deng
8. Shaoqing Ren
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Shengyu Zhang overall

1. Junnan Li
2. Curtis G. Northcutt

Papers from Shengyu Zhang's perspective

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

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

Their papers

• Understanding and Utilizing Deep Neural Networks Trained with Noisy Labels (2019) — 460 citations