Jinxing Ye

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 32 citations into it
• Representation & Self-Supervised Learning — 21 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• Computational Mechanics — 7 citations into it
• Scaling & Learning Theory — 5 citations into it

Whom Jinxing Ye trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. J. Urgen Schmidhuber
4. Yoshua Bengio
5. Diederik P. Kingma
6. Yann LeCun
7. Kaiming He
8. Alexandre B. Tsybakov
9. Ilya Sutskever
10. Ekin Dogus Cubuk

Papers from Jinxing Ye's perspective

Ordered by how strongly the researchers Jinxing Ye 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• Dash: Semi-Supervised Learning with Dynamic Thresholding (2021) — 300 citations