Yucong Zhou

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 173 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 27 citations into it
• Computer Vision and Pattern Recognition — 26 citations into it
• Optimization & Training — 18 citations into it
• Model Architectures — 5 citations into it

Whom Yucong Zhou trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Ilya Loshchilov
5. Diederik P. Kingma
6. Christian Szegedy
7. Yurii E. Nesterov
8. Yoshua Bengio
9. Ross B. Girshick
10. Quoc V. Le

Papers from Yucong Zhou's perspective

Ordered by how strongly the researchers Yucong Zhou 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• FixNorm: Dissecting Weight Decay for Training Deep Neural Networks (2021) — 6 citations