Yeqing Lin

Molecular Biology · 2023

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 22 citations into it
• Computational Biology & Bioinformatics — 17 citations into it
• Generative Models — 15 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Materials Chemistry — 9 citations into it
• Artificial Intelligence — 5 citations into it
• Computational Theory and Mathematics — 5 citations into it

Whom Yeqing Lin trusts overall

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

1. Yang Zhang
2. Diederik P. Kingma
3. S. Parasuraman
4. Namrata Anand
5. Individualized Treat
6. Jinrui Xu
7. Max Welling
8. Po-Ssu Huang
9. Naomi Fox
10. Zhisheng Xiao

Papers from Yeqing Lin's perspective

Ordered by how strongly the researchers Yeqing Lin 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. Attention is All you Need (Neural Information Processing Systems)
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. GENERATIVE ADVERSARIAL NETS
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet: A large-scale hierarchical image database

Their papers

• Generating Novel, Designable, and Diverse Protein Structures by Equivariantly Diffusing Oriented Residue Clouds (2023) — 110 citations