Huan Li

Artificial Intelligence · with Lin · 2022

A researcher in the Science corpus: 1 paper; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 45 citations into it
• Computer Vision and Pattern Recognition — 33 citations into it
• Optimization & Training — 28 citations into it
• Model Architectures — 15 citations into it

Whom Huan Li trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Diederik P. Kingma
4. Geoffrey E. Hinton
5. Yurii E. Nesterov
6. Yoshua Bengio
7. Ross B. Girshick
8. Sepp Hochreiter
9. Yann LeCun
10. Ilya Sutskever

Papers from Huan Li's perspective

Ordered by how strongly the researchers Huan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models (2022) — 313 citations