Zhuangwei Zhuang

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 Zhuangwei Zhuang trusts overall

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

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

Who trusts Zhuangwei Zhuang overall

1. Yang He
2. Weizhe Hua
3. Yehui Tang
4. Yong Guo
5. Breton L. Minnehan
6. Sangwon Jung
7. Ben Mussay
8. Hongrong Cheng
9. Marwa El Halabi
10. Isha Garg

Papers from Zhuangwei Zhuang's perspective

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

Their papers

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