Qingyu Zhao

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it
• Radiology, Nuclear Medicine and Imaging — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Qingyu Zhao trusts overall

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

1. Stephen M. Smith
2. L. V. D. van der Maaten
3. Bashir Sadeghi
4. Geoffrey E. Hinton
5. Thomas E. Nichols
6. Brian B. Avants
7. Anderson M. Winkler
8. Vishnu Naresh Boddeti
9. Yann LeCun
10. Yoshua Bengio

Papers from Qingyu Zhao's perspective

Ordered by how strongly the researchers Qingyu Zhao 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Training confounder-free deep learning models for medical applications (2020) — 154 citations