Aiyou Chen

Statistical and Nonlinear Physics · 2006–2012

A researcher in the Science corpus: 3 papers; trusts 32 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 21 citations into it; #995 of 10,127 by trust here, #1,949 by citations
• Statistics and Probability — 12 citations into it; #11,422 of 12,932 by trust here, #7,508 by citations
• Artificial Intelligence — 10 citations into it
• Molecular Biology — 10 citations into it
• Computational Theory and Mathematics — 5 citations into it
• Graph Learning — 5 citations into it
• Signal Processing — 5 citations into it; #2,011 of 7,572 by trust here, #6,083 by citations

Whom Aiyou Chen trusts overall

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

1. Aapo Hyvärinen
2. Mark Newman
3. Jean-François Cardoso
4. Francis R. Bach
5. Shun-ichi Amari
6. Ella Bingham
7. Michael I. Jordan
8. Peter J. Bickel
9. Olav Kallenberg
10. Tom A. B. Snijders

Who trusts Aiyou Chen overall

1. Aapo Hyvärinen
2. David S. Matteson
3. A. Samarov
4. Jing Lei
5. Arun G. Chandrasekhar
6. Jari Miettinen
7. Prem Gopalan
8. Alexandre B. Tsybakov
9. Ruey S. Tsay
10. Jiashun Jin

Papers from Aiyou Chen's perspective

Ordered by how strongly the researchers Aiyou Chen 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Pseudo-likelihood methods for community detection in large sparse networks (2012) — 442 citations
• A nonparametric view of network models and Newman–Girvan and other modularities (2009) — 887 citations
• Efficient independent component analysis (2006) — 100 citations