Zichao Guo

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 375 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 118 citations into it; #9,367 of 21,575 by trust here, #4,988 by citations
• Artificial Intelligence — 96 citations into it; #14,555 of 35,345 by trust here, #6,911 by citations
• Efficiency & Compression — 53 citations into it
• Model Architectures — 36 citations into it
• Optimization & Training — 9 citations into it

Whom Zichao Guo trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Barret Zoph
5. Karen Simonyan
6. Quoc V. Le
7. Ross B. Girshick
8. Yoshua Bengio
9. Yann LeCun
10. Christian Szegedy

Who trusts Zichao Guo overall

1. Xiangxiang Chu
2. Yukang Chen
3. Changlin Li
4. Houwen Peng
5. Hanrui Wang
6. Miao Zhang
7. Han Cai
8. Quanming Yao
9. Bo Zhang
10. Yang He

Papers from Zichao Guo's perspective

Ordered by how strongly the researchers Zichao Guo trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Gradient-based learning applied to document recognition
9. ImageNet Large Scale Visual Recognition Challenge
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Single Path One-Shot Neural Architecture Search with Uniform Sampling (2019) — 1,036 citations
• MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning (2019) — 640 citations
• Dynamic Region-Aware Convolution (2020) — 139 citations