Jin-Hui Zhu

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 237 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 112 citations into it
• Artificial Intelligence — 77 citations into it
• Efficiency & Compression — 52 citations into it
• Model Architectures — 19 citations into it
• Optimization & Training — 9 citations into it

Whom Jin-Hui Zhu trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Kaiming He
4. Karen Simonyan
5. Andrew Zisserman
6. Yann LeCun
7. Christian Szegedy
8. Yoshua Bengio
9. Ross B. Girshick
10. Ilya Sutskever

Papers from Jin-Hui Zhu's perspective

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

Their papers

• Discrimination-aware Channel Pruning for Deep Neural Networks (2018) — 637 citations
• Discrimination-Aware Network Pruning for Deep Model Compression (2020) — 169 citations