Junyu Dong

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 3 papers; trusts 116 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 55 citations into it; #19,852 of 21,575 by trust here, #17,757 by citations
• Artificial Intelligence — 48 citations into it
• Model Architectures — 14 citations into it
• Optimization & Training — 10 citations into it

Whom Junyu Dong 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. Alex Graves

Who trusts Junyu Dong overall

1. M. Islam

Papers from Junyu Dong's perspective

Ordered by how strongly the researchers Junyu Dong 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Going deeper with convolutions
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Attention is All you Need (Neural Information Processing Systems)

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
• Underwater image enhancement via extended multi-scale Retinex (2017) — 404 citations