Xin Huang
Statistical and Nonlinear Physics · with Cheng · 2014–2019
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistical and Nonlinear Physics — 42 citations into it
- Artificial Intelligence — 23 citations into it
- Computer Networks and Communications — 20 citations into it
- Molecular Biology — 11 citations into it
- Computational Theory and Mathematics — 10 citations into it
- Computer Vision and Pattern Recognition — 9 citations into it
- Information Systems — 9 citations into it
Whom Xin Huang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Jonathan Cohen
- Julian McAuley
- Jia Wang
- Jure Leskovec
- Charalampos E. Tsourakakis
- Santo Fortunato
- David Gibson
- Johan Ugander
- Marc Barthelemy
Who trusts Xin Huang overall
Papers from Xin Huang's perspective
Ordered by how strongly the researchers Xin Huang trusts endorse each paper. Same corpus, a different order for every researcher.
- Et al
- Finding and evaluating community structure in networks. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Graph structure in the Web (Comput. Networks)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Community structure in social and biological networks (Proceedings of the National Academy of Sciences of the United States of America)
- ImageNet classification with deep convolutional neural networks
- I and J
- Community detection in graphs
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- A survey of community search over big graphs (2019) — 345 citations
- Querying k-truss community in large and dynamic graphs (2014) — 513 citations