Xiaoqian Lin

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 17 citations into it
• Computational Theory and Mathematics — 15 citations into it
• Materials Chemistry — 5 citations into it

Whom Xiaoqian Lin trusts overall

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

1. Hongmao Sun
2. John Moult
3. Xue-wen Chen
4. Alex Krizhevsky
5. Krzysztof Fidelis
6. Geoffrey E. Hinton
7. Ilya Sutskever
8. Alexander Tropsha
9. J. Urgen Schmidhuber
10. Andriy Kryshtafovych

Papers from Xiaoqian Lin's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Attention is All you Need (Neural Information Processing Systems)
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Review on Applications of Computational Methods in Drug Screening and Design (2020) — 536 citations