Zhongling Huang

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 14 citations into it
• Artificial Intelligence — 9 citations into it

Whom Zhongling Huang trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Yoshua Bengio
5. Kaiming He
6. Jonathan Masci
7. Maxime Oquab
8. Karen Simonyan
9. L. Eon Bottou
10. T. Paine

Who trusts Zhongling Huang overall

1. Mohammad Rostami
2. Xian Sun
3. Bing Wang

Papers from Zhongling Huang's perspective

Ordered by how strongly the researchers Zhongling Huang 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
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. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Transfer Learning with Deep Convolutional Neural Network for SAR Target Classification with Limited Labeled Data (2017) — 386 citations