Wenbin Hu

Statistical and Nonlinear Physics · with Jin · 2021

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 53 citations into it
• Artificial Intelligence — 45 citations into it
• Molecular Biology — 21 citations into it

Whom Wenbin Hu trusts overall

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

1. Mark Newman

Papers from Wenbin Hu's perspective

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

1. Attention is All you Need (Neural Information Processing Systems)
2. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
3. GENERATIVE ADVERSARIAL NETS
4. This PDF file includes: Materials and Methods
5. Extracting and composing robust features with denoising autoencoders
6. Deep Learning
7. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
8. AUTO-ENCODING VARIATIONAL BAYES
9. Graph Attention Networks (International Conference on Learning Representations)
10. Collective dynamics of ‘small-world’ networks

Their papers

• A Comprehensive Survey on Community Detection With Deep Learning (2021) — 454 citations