Xianglilan Zhang

Molecular Biology · 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 Xianglilan Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Sepp Hochreiter
3. Oriol Vinyals
4. Ilya Sutskever
5. Jesse Davis
6. J. Urgen Schmidhuber
7. Alex Krizhevsky
8. Yoshua Bengio

Papers from Xianglilan Zhang's perspective

Ordered by how strongly the researchers Xianglilan Zhang 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Distributed Representations of Words and Phrases and their Compositionality (Neural Information Processing Systems)
8. Attention is All you Need (Neural Information Processing Systems)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

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