Li Liang

Molecular Biology · 2021

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

Subfields

• Molecular Biology — 23 citations into it

Whom Li Liang trusts overall

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

1. Sofia Ira Ktena
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Sarah Parisot
5. Yann LeCun
6. Diederik P. Kingma
7. Albert-László Barabási
8. Yehuda Koren
9. Joan Bruna
10. Oriol Vinyals

Papers from Li Liang's perspective

Ordered by how strongly the researchers Li Liang 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. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Graph Neural Networks and Their Current Applications in Bioinformatics (2021) — 459 citations