Xin Sun

Computer Vision and Pattern Recognition · with Dong · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 116 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 49 citations into it
• Artificial Intelligence — 48 citations into it
• Model Architectures — 14 citations into it
• Optimization & Training — 10 citations into it

Whom Xin Sun trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Diederik P. Kingma
5. Yann LeCun
6. Jimmy Ba
7. Yoshua Bengio
8. Ilya Sutskever
9. Christian Szegedy
10. Sergey Ioffe

Papers from Xin Sun's perspective

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

Their papers

• Highlight Every Step: Knowledge Distillation via Collaborative Teaching (2019) — 75 citations
• Prediction of Sea Surface Temperature Using Long Short-Term Memory (2017) — 403 citations