Yutao Zhong

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Safety, Robustness & Interpretability — 27 citations into it
• Computer Vision and Pattern Recognition — 21 citations into it
• Optimization & Training — 13 citations into it
• Electrical and Electronic Engineering — 6 citations into it

Whom Yutao Zhong trusts overall

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

1. Alex Krizhevsky
2. Yurii E. Nesterov
3. Geoffrey E. Hinton
4. Ilya Sutskever
5. Yoshua Bengio
6. Kaiming He
7. Diederik P. Kingma
8. Yann LeCun
9. Ian J. Goodfellow
10. Christian Szegedy

Papers from Yutao Zhong's perspective

Ordered by how strongly the researchers Yutao Zhong 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. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
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

• Cross-Entropy Loss Functions: Theoretical Analysis and Applications (2023) — 901 citations