Shuyu Lin

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Generative Models — 21 citations into it
• Artificial Intelligence — 18 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Shuyu Lin trusts overall

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

1. Diederik P. Kingma
2. Yann LeCun
3. Danilo Jimenez Rezende
4. Aäron van den Oord
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Rajesh Ranganath
8. Max Welling
9. Alex Krizhevsky
10. Oriol Vinyals

Who trusts Shuyu Lin overall

1. Weihao Xia
2. Yulun Zhang

Papers from Shuyu Lin's perspective

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

Their papers

• LaDDer: Latent Data Distribution Modelling with a Generative Prior (2020) — 4 citations