Jianyi Zhang

Artificial Intelligence · 2019–2021

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 53 citations into it
• Computer Vision and Pattern Recognition — 23 citations into it
• Optimization & Training — 14 citations into it
• Probabilistic & Bayesian Methods — 12 citations into it
• Statistics and Probability — 12 citations into it
• Model Architectures — 5 citations into it

Whom Jianyi Zhang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Radford M. Neal
6. Yann LeCun
7. Karen Simonyan
8. Yoshua Bengio
9. Ilya Sutskever
10. Max Welling

Papers from Jianyi Zhang's perspective

Ordered by how strongly the researchers Jianyi 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. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Learning Multiple Layers of Features from Tiny Images
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet: A large-scale hierarchical image database
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning (2019) — 298 citations
• FLOP: Federated Learning on Medical Datasets using Partial Networks (2021) — 100 citations