Yuling Jiao

Computer Vision and Pattern Recognition · with Wang · 2021

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #20,081 of 21,575 by trust here, #18,782 by citations
• Generative Models — 30 citations into it
• Artificial Intelligence — 19 citations into it; #32,756 of 35,345 by trust here, #29,412 by citations
• Probabilistic & Bayesian Methods — 8 citations into it
• Signal Processing — 7 citations into it

Whom Yuling Jiao trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Yang Song
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Kaiming He
7. Yann LeCun
8. Laurent Dinh
9. Max Welling
10. Stefano Ermon

Who trusts Yuling Jiao overall

1. Stefano Peluchetti
2. Valentin De Bortoli

Papers from Yuling Jiao's perspective

Ordered by how strongly the researchers Yuling Jiao 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. Gradient-based learning applied to document recognition
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. GENERATIVE ADVERSARIAL NETS
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Deep Generative Learning via Schrödinger Bridge (2021) — 148 citations