Ling Yang

Computer Vision and Pattern Recognition · with Zhang · 2022

A researcher in the Science corpus: 1 paper; trusts 188 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 160 citations into it
• Generative Models — 127 citations into it
• Artificial Intelligence — 122 citations into it
• Statistical and Nonlinear Physics — 36 citations into it
• Probabilistic & Bayesian Methods — 32 citations into it
• Computational Mechanics — 13 citations into it
• Model Architectures — 11 citations into it
• Natural Language Processing — 10 citations into it

Whom Ling Yang trusts overall

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

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

Who trusts Ling Yang overall

1. Chenshuang Zhang
2. Ziwei Luo
3. Shitong Luo
4. Shiwei Zhang

Papers from Ling Yang's perspective

Ordered by how strongly the researchers Ling Yang 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. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. GENERATIVE ADVERSARIAL NETS
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Diffusion Models: A Comprehensive Survey of Methods and Applications (2022) — 2,329 citations