Feng-jun Zhang

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it
• Atmospheric Science — 11 citations into it
• Global and Planetary Change — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Feng-jun Zhang trusts overall

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

1. Diederik P. Kingma
2. Jimmy Ba
3. Geoffrey E. Hinton
4. Hans Hersbach
5. Kaiming He
6. Alex Krizhevsky
7. Yoshua Bengio
8. Peter Dueben
9. Matthew D. Zeiler
10. Ilya Loshchilov

Papers from Feng-jun Zhang's perspective

Ordered by how strongly the researchers Feng-jun 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Attention is All you Need (Neural Information Processing Systems)
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• FuXi: a cascade machine learning forecasting system for 15-day global weather forecast (2023) — 510 citations