Ying Fan

Computer Vision and Pattern Recognition · with Lee · 2023

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

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it

Whom Ying Fan trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Prafulla Dhariwal
4. Diederik P. Kingma
5. Yoshua Bengio
6. John Schulman
7. Kaiming He
8. Ian J. Goodfellow
9. Alec Radford
10. Ilya Sutskever

Who trusts Ying Fan overall

1. Bram Wallace

Papers from Ying Fan's perspective

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

Their papers

• DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models (2023) — 460 citations