Yan Li

Artificial Intelligence · with Zhang · 2020

A researcher in the Science corpus: 2 papers; trusts 210 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 64 citations into it; #13,623 of 35,345 by trust here, #10,798 by citations
• Computer Vision and Pattern Recognition — 48 citations into it; #8,965 of 21,575 by trust here, #7,584 by citations
• Information Systems — 27 citations into it; #2,708 of 8,771 by trust here, #1,895 by citations
• Multimodal Learning — 23 citations into it
• Natural Language Processing — 14 citations into it
• Graph Learning — 11 citations into it
• Model Architectures — 11 citations into it
• Management Science and Operations Research — 10 citations into it

Whom Yan Li trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Alex Krizhevsky
6. Karen Simonyan
7. Jimmy Ba
8. Ilya Sutskever
9. Yann LeCun
10. Ross B. Girshick

Who trusts Yan Li overall

1. Junliang Yu
2. Xiang Wang
3. Xiangnan He
4. Chen Gao

Papers from Yan Li's perspective

Ordered by how strongly the researchers Yan 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. 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Multi-Modality Cross Attention Network for Image and Sentence Matching (2020) — 451 citations
• LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation (2020) — 5,414 citations