Yiitan Yuan

Signal Processing · 2023

A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Signal Processing — 88 citations into it
• Computer Vision and Pattern Recognition — 80 citations into it
• Artificial Intelligence — 72 citations into it
• Generative Models — 47 citations into it
• Statistical and Nonlinear Physics — 16 citations into it

Whom Yiitan Yuan trusts overall

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

1. Diederik P. Kingma
2. Geoffrey E. Hinton
3. Jonathan Ho
4. Yoshua Bengio
5. Alex Krizhevsky
6. Ilya Sutskever
7. Kaiming He
8. Yann LeCun
9. Jimmy Ba
10. Alex Graves

Papers from Yiitan Yuan's perspective

Ordered by how strongly the researchers Yiitan Yuan 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. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• AudioLDM: Text-to-Audio Generation with Latent Diffusion Models (2023) — 854 citations
• Separate Anything You Describe (2023) — 87 citations
• AudioLDM 2: Learning Holistic Audio Generation With Self-Supervised Pretraining (2023) — 512 citations