Chunyuan Zhang

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 11 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 — 23 citations into it
• Optimization & Training — 12 citations into it

Whom Chunyuan Zhang trusts overall

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

1. James Martens
2. Diederik P. Kingma
3. Alex Krizhevsky
4. Boris Polyak
5. Yann LeCun
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Roberto Battiti
9. Yoshua Bengio
10. Jimmy Ba

Who trusts Chunyuan Zhang overall

1. Youngjae Min
2. Kwangjun Ahn
3. Navid Azizan

Papers from Chunyuan Zhang's perspective

Ordered by how strongly the researchers Chunyuan 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. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
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

• Recursive Least Squares for Training and Pruning Convolutional Neural Networks (2022)
• Revisiting Recursive Least Squares for Training Deep Neural Networks (2021) — 7 citations