Yue Cao

Molecular Biology · with Shen · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 80 citations into it
• Computational Biology & Bioinformatics — 51 citations into it
• Materials Chemistry — 31 citations into it

Whom Yue Cao trusts overall

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

1. Yang Zhang
2. Bernhard Schölkopf

Papers from Yue Cao's perspective

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

1. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
2. Improved Techniques for Training GANs
3. Improved Training of Wasserstein GANs
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. Attention is All you Need (Neural Information Processing Systems)
7. Wasserstein Generative Adversarial Networks
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Gradient-based learning applied to document recognition
10. Long Short-Term Memory

Their papers

• De Novo Protein Design for Novel Folds Using Guided Conditional Wasserstein Generative Adversarial Networks (2020) — 80 citations
• Blind prediction of homo- and hetero-protein complexes: The CASP13-CAPRI experiment (2019) — 104 citations
• De Novo Protein Design for Novel Folds using Guided Conditional Wasserstein Generative Adversarial Networks (gcWGAN) (2019) — 11 citations