Yi Li

Molecular Biology · with Xie · 2015–2020

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 35 citations into it; #14,714 of 17,773 by trust here, #11,019 by citations
• Artificial Intelligence — 17 citations into it; #32,050 of 35,345 by trust here, #20,836 by citations
• Computer Vision and Pattern Recognition — 11 citations into it
• Ecology — 10 citations into it

Whom Yi Li trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Alex Krizhevsky
4. David E. Rumelhart
5. Pascal Vincent
6. Pierre Baldi
7. Diederik P. Kingma
8. Richard Socher
9. Ilya Sutskever
10. Yann LeCun

Who trusts Yi Li overall

1. Daniel Quang
2. Seonwoo Min
3. Wei Li
4. Mufti Mahmud

Papers from Yi Li's perspective

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

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

Their papers

• Gene expression inference with deep learning (2015) — 395 citations
• Identifying viruses from metagenomic data using deep learning (2020) — 553 citations