Lei Xin

Molecular Biology · 2011–2018

A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 26 citations into it
• Spectroscopy — 20 citations into it

Whom Lei Xin trusts overall

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

1. Geoffrey E. Hinton
2. Sepp Hochreiter
3. Joshua E. Elias
4. R. Craig
5. Oriol Vinyals
6. Pavel A. Pevzner

Papers from Lei Xin's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Long Short-Term Memory
3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
4. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Show and tell: A neural image caption generator
7. Gradient-based learning applied to document recognition
8. Attention is All you Need (Neural Information Processing Systems)
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• PEAKS DB: De Novo Sequencing Assisted Database Search for Sensitive and Accurate Peptide Identification (2011) — 985 citations
• De novo peptide sequencing by deep learning (2017) — 403 citations
• Deep learning enables de novo peptide sequencing from data-independent-acquisition mass spectrometry (2018) — 323 citations