Hongchang Gao

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 182 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it
• Artificial Intelligence — 21 citations into it
• Optimization & Training — 9 citations into it
• Computational Mechanics — 6 citations into it
• Model Architectures — 6 citations into it

Whom Hongchang Gao trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Yann LeCun
5. Yoshua Bengio
6. Ross B. Girshick
7. Shaoqing Ren
8. Ilya Sutskever
9. David G. Lowe
10. Karen Simonyan

Who trusts Hongchang Gao overall

1. Changqing Zhang
2. Hao Wang
3. Handong Zhao
4. Yuan Xie
5. Xiaotong Zhang
6. Zhao Kang
7. Qinghua Hu
8. Huan Fu
9. Yan Yang
10. Zhengming Ding

Papers from Hongchang Gao's perspective

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

Their papers

• Multi-view Subspace Clustering (2015) — 543 citations
• Demystifying Dropout (2019) — 16 citations