Qianmu Yuan

Molecular Biology · 2022

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 17 citations into it
• Computational Biology & Bioinformatics — 13 citations into it

Whom Qianmu Yuan trusts overall

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

1. Martin Steinegger
2. Adam T. Zemla
3. Milot Mirdita
4. Diederik P. Kingma
5. W. Kabsch
6. Jianyi Yang
7. Theodore W. Anderson
8. Takaya Saito
9. Michael Remmert
10. Yang Zhang

Papers from Qianmu Yuan's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
3. Attention is All you Need (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Long Short-Term Memory
7. Highly accurate protein structure prediction with AlphaFold
8. Gradient-based learning applied to document recognition
9. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• AlphaFold2-aware protein-DNA binding site prediction using graph transformer (2022) — 109 citations