He Li

Computer Vision and Pattern Recognition · with Deng · 2024

A researcher in the Science corpus: 1 paper; trusts 102 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 32 citations into it
• Generative Models — 22 citations into it
• Artificial Intelligence — 20 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 6 citations into it

Whom He Li trusts overall

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

1. Kaiming He
2. Geoffrey E. Hinton
3. Diederik P. Kingma
4. Aäron van den Oord
5. Alex Krizhevsky
6. Alec Radford
7. Yoshua Bengio
8. Jonathan Ho
9. Ilya Sutskever
10. Jimmy Ba

Papers from He Li's perspective

Ordered by how strongly the researchers He Li 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. ImageNet: A large-scale hierarchical image database
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. GENERATIVE ADVERSARIAL NETS
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Autoregressive Image Generation without Vector Quantization (2024) — 691 citations