Ruiyi Zhang

Artificial Intelligence · with Chen · 2020

A researcher in the Science corpus: 1 paper; trusts 22 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Probabilistic & Bayesian Methods — 14 citations into it
• Optimization & Training — 7 citations into it
• Statistics and Probability — 5 citations into it

Whom Ruiyi Zhang trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Max Welling
4. Geoffrey E. Hinton
5. Chelsea Finn
6. Yoshua Bengio
7. Sergey Levine
8. J. Urgen Schmidhuber
9. Yann LeCun
10. Radford M. Neal

Papers from Ruiyi Zhang's perspective

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

Their papers

• Bayesian Meta Sampling for Fast Uncertainty Adaptation (2020) — 13 citations