Qingyun She

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it
• Artificial Intelligence — 24 citations into it
• Generative Models — 21 citations into it
• Signal Processing — 7 citations into it

Whom Qingyun She trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Olof Mogren
4. Individualized Treat
5. Yoshua Bengio
6. Yann LeCun
7. Diederik P. Kingma
8. Sepp Hochreiter
9. Ian J. Goodfellow
10. Oriol Vinyals

Papers from Qingyun She's perspective

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

1. Gradient-based learning applied to document recognition
2. Long Short-Term Memory
3. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet classification with deep convolutional neural networks
5. ImageNet: A large-scale hierarchical image database
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. GENERATIVE ADVERSARIAL NETS
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Improved Techniques for Training GANs

Their papers

• Generative Adversarial Networks in Time Series: A Systematic Literature Review (2022) — 292 citations