Y. Li

Artificial Intelligence · with Liang · 2020

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 10 citations into it
• Natural Language Processing — 6 citations into it

Whom Y. Li trusts overall

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

1. Yoshua Bengio
2. Yann LeCun
3. Junbo Jake Zhao
4. C. D. Santos
5. Geoffrey E. Hinton
6. Huaguang Zhang
7. Siavash Sakhavi
8. Tong He
9. Alex Krizhevsky
10. Qi Wu

Papers from Y. Li's perspective

Ordered by how strongly the researchers Y. Li trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• CNN-RNN Based Intelligent Recommendation for Online Medical Pre-Diagnosis Support (2020) — 391 citations