Yixiang Fang

Statistical and Nonlinear Physics · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 45 citations into it
• Artificial Intelligence — 28 citations into it
• Computer Networks and Communications — 26 citations into it
• Information Systems — 13 citations into it
• Computational Theory and Mathematics — 11 citations into it
• Molecular Biology — 9 citations into it
• Graph Learning — 5 citations into it

Whom Yixiang Fang trusts overall

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

1. Mark Newman
2. Santo Fortunato
3. S. Seidman
4. Yan Liu
5. Haixun Wang
6. Ramesh Nallapati
7. Wanyun Cui
8. Marc Barthelemy
9. Xin Huang
10. Michelle Girvan

Papers from Yixiang Fang's perspective

Ordered by how strongly the researchers Yixiang Fang 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. ImageNet classification with deep convolutional neural networks
3. Et al
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A survey of community search over big graphs (2019) — 345 citations
• Effective Community Search for Large Attributed Graphs (2016) — 311 citations