Ming Li

Molecular Biology · with Shan · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 15 citations into it
• Spectroscopy — 9 citations into it

Whom Ming Li trusts

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

1. Pavel A. Pevzner (in Molecular Biology)

Papers from Ming Li's perspective

Ordered by how strongly the researchers Ming Li 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. Show and tell: A neural image caption generator
6. Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
7. Deep Neural Networks Segment Neuronal Membranes in Electron Microscopy Images
8. Distributed Representations
9. The relationship between Precision-Recall and ROC curves
10. Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

Their papers

• 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