Ruqi Zhang

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 20 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 26 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Optimization & Training — 12 citations into it
• Probabilistic & Bayesian Methods — 12 citations into it
• Statistics and Probability — 12 citations into it

Whom Ruqi Zhang trusts overall

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

1. Radford M. Neal
2. Chunyuan Li
3. David John Cameron MacKay
4. Kaiming He
5. Geoffrey E. Hinton
6. Max Welling
7. Charles Blundell
8. Alex Krizhevsky
9. Diederik P. Kingma
10. Yoshua Bengio

Who trusts Ruqi Zhang overall

1. Stanislav Fort
2. Fredrik K. Gustafsson
3. José Jiménez-Luna
4. Pavel Izmailov
5. Arsenii Ashukha
6. Chunyuan Li
7. Erik A. Daxberger
8. Michael W. Dusenberry
9. Jonathan Heek
10. Moloud Abdar

Papers from Ruqi Zhang's perspective

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

Their papers

• Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning (2019) — 298 citations