XINYAN DAI

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 21 citations into it
• Computer Vision and Pattern Recognition — 14 citations into it

Whom XINYAN DAI trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Alex Krizhevsky
4. Santosh Srinivas Vempala
5. Geoffrey E. Hinton
6. Andrew Zisserman
7. Herv'e J'egou
8. Yann LeCun
9. X. Zhang
10. Yoshua Bengio

Who trusts XINYAN DAI overall

1. Alireza Fallah
2. Canh T. Dinh
3. Aryan Mokhtari
4. Nguyen H. Tran

Papers from XINYAN DAI's perspective

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

Their papers

• Hyper-Sphere Quantization: Communication-Efficient SGD for Federated Learning (2019) — 51 citations