Shaowen Zhu

Molecular Biology · 2019–2021

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 — 85 citations into it
• Computational Biology & Bioinformatics — 55 citations into it
• Materials Chemistry — 40 citations into it

Whom Shaowen Zhu trusts overall

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

1. Yang Zhang
2. Bernhard Schölkopf
3. David Baker
4. Joe G. Greener
5. Jie Hou
6. Jeffrey Skolnick
7. Diederik P. Kingma
8. Baris E. Suzek
9. Ishaan Gulrajani
10. Martín Arjovsky

Papers from Shaowen Zhu's perspective

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

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

Their papers

• De Novo Protein Design for Novel Folds Using Guided Conditional Wasserstein Generative Adversarial Networks (2020) — 80 citations
• Prediction of protein assemblies, the next frontier: The CASP14-CAPRI experiment (2021) — 103 citations
• De Novo Protein Design for Novel Folds using Guided Conditional Wasserstein Generative Adversarial Networks (gcWGAN) (2019) — 11 citations