Qiang-feng Zhou

Artificial Intelligence · 2013–2021

A researcher in the Science corpus: 4 papers; trusts 131 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 61 citations into it
• Computer Vision and Pattern Recognition — 58 citations into it

Whom Qiang-feng Zhou trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Sreemanananth Sadanand
5. Ross B. Girshick
6. Li Fei-Fei
7. Yoshua Bengio
8. Antonio Torralba
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Qiang-feng Zhou overall

1. Ishan Misra
2. Abrar H. Abdulnabi
3. Fang Liu
4. Abhinav Shrivastava
5. G. Wang

Papers from Qiang-feng Zhou's perspective

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

Their papers

• Learning to Share Latent Tasks for Action Recognition (2013) — 60 citations
• Delving Deep into the Generalization of Vision Transformers under Distribution Shifts (2021) — 138 citations
• A Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT (2020) — 534 citations
• Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label (2020) — 614 citations