Cheng Ju

Artificial Intelligence · with Bibaut · 2017

A researcher in the Science corpus: 1 paper; trusts 79 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 17 citations into it; #27,563 of 35,345 by trust here, #30,347 by citations
• Computer Vision and Pattern Recognition — 12 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Cheng Ju trusts overall

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

1. Alex Krizhevsky
2. Leo Breiman
3. Kaiming He
4. Yoav Freund
5. Geoffrey E. Hinton
6. Jerome H. Friedman
7. Karen Simonyan
8. Christian Szegedy
9. Sergey Ioffe
10. Ilya Sutskever

Who trusts Cheng Ju overall

1. Yaoyao Liu
2. M. A. Ganaie
3. Bernt Schiele
4. Minghui Hu

Papers from Cheng Ju's perspective

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

Their papers

• The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification (2017) — 389 citations