Ji Feng

Artificial Intelligence · with Zhou · 2017

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it; #13,856 of 35,345 by trust here, #26,682 by citations
• Computer Vision and Pattern Recognition — 20 citations into it; #9,002 of 21,575 by trust here, #17,258 by citations
• Model Architectures — 7 citations into it
• Natural Language Processing — 5 citations into it
• Optimization & Training — 5 citations into it

Whom Ji Feng trusts overall

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

1. Alex Krizhevsky
2. Stéphane Mallat
3. Yoav Freund
4. Geoffrey E. Hinton
5. Tin Kam Ho
6. Kaiming He
7. Leo Breiman
8. Yann LeCun
9. Simon S. Haykin
10. Yoshua Bengio

Who trusts Ji Feng overall

1. Sergei Popov
2. M. A. Ganaie
3. Weiwei Liu
4. Xibin Dong
5. Xiang Liu

Papers from Ji Feng's perspective

Ordered by how strongly the researchers Ji Feng 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. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
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. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep forest (2017) — 1,144 citations