Xiao Wang

Molecular Biology · with Flannery · 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 — 20 citations into it
• Materials Chemistry — 19 citations into it
• Computational Theory and Mathematics — 14 citations into it

Whom Xiao Wang trusts overall

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

1. Joël Janin
2. Brian G. Pierce
3. Yang Zhang
4. D. Ritchie
5. L. V. D. van der Maaten
6. Wen Torng
7. Zhiping Weng
8. Geoffrey E. Hinton
9. Lenna X. Peterson
10. Dina Schneidman-Duhovny

Papers from Xiao Wang's perspective

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

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

Their papers

• Protein Docking Model Evaluation by Graph Neural Networks (2020) — 94 citations