Junguang Jiang

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 137 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 29 citations into it
• Artificial Intelligence — 22 citations into it
• Representation & Self-Supervised Learning — 17 citations into it
• Natural Language Processing — 5 citations into it

Whom Junguang Jiang trusts overall

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

1. Alex Krizhevsky
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Andrew Zisserman
6. Ross B. Girshick
7. Diederik P. Kingma
8. Jia Deng
9. Yann LeCun
10. Ilya Sutskever

Papers from Junguang Jiang's perspective

Ordered by how strongly the researchers Junguang Jiang 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. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• Debiased Pseudo Labeling in Self-Training (2022) — 12 citations