Qinghua Wang

Computational Biology & Bioinformatics · 2021

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Biology & Bioinformatics — 11 citations into it
• Molecular Biology — 11 citations into it
• Materials Chemistry — 7 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Qinghua Wang trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Sepp Hochreiter
4. Guoli Wang
5. Olaf Ronneberger
6. Jimmy Ba
7. Georgii G. Krivov
8. J. Urgen Schmidhuber
9. Roland L. Dunbrack
10. Geoffrey E. Hinton

Papers from Qinghua Wang's perspective

Ordered by how strongly the researchers Qinghua 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. Long Short-Term Memory
3. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet classification with deep convolutional neural networks
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. ImageNet Large Scale Visual Recognition Challenge
10. ImageNet: A large-scale hierarchical image database

Their papers

• OPUS-Rota4: a gradient-based protein side-chain modeling framework assisted by deep learning-based predictors (2021) — 27 citations