Mozhi Zhang

Artificial Intelligence · 2020

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 — 59 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Scaling & Learning Theory — 15 citations into it

Whom Mozhi Zhang trusts overall

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

1. Simon Shaolei Du
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Yuanzhi Li
5. Alex Krizhevsky
6. Diederik P. Kingma
7. Kaiming He
8. Sanjeev Arora
9. Ilya Sutskever
10. Yann LeCun

Papers from Mozhi Zhang's perspective

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

Their papers

• How Neural Networks Extrapolate: From Feedforward to Graph Neural Networks (2020) — 370 citations