Bo Yang

Artificial Intelligence · Knowledge-Based Systems · 2007–2019

A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it; #27,671 of 35,345 by trust here, #17,776 by citations
• Computer Vision and Pattern Recognition — 22 citations into it; #16,980 of 21,575 by trust here, #20,756 by citations
• Statistical Learning Theory — 7 citations into it
• Molecular Biology — 6 citations into it
• Statistical and Nonlinear Physics — 6 citations into it; #4,573 of 10,127 by trust here, #8,120 by citations

Whom Bo Yang trusts overall

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

1. Jon M. Kleinberg
2. Miroslav Fiedler
3. Michelle Girvan
4. Mark Newman
5. Jianbo Shi
6. Chih-Jen Lin
7. Vladimir Naumovich Vapni
8. Alex Krizhevsky
9. Gary William Flake
10. Steven H. Strogatz

Who trusts Bo Yang overall

1. X. Shen
2. Quan Zheng
3. J´erˆome Kunegis
4. Jiliang Tang
5. Fu-lai Chung
6. David B. Skillicorn
7. Andreas Lommatzsch
8. Yi Chang
9. H. Hannah Inbarani
10. Amin Ul Haq

Papers from Bo Yang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Learning Multiple Layers of Features from Tiny Images
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. ImageNet: A large-scale hierarchical image database
7. Going deeper with convolutions
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Long Short-Term Memory
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A support vector machine classifier with rough set-based feature selection for breast cancer diagnosis (2011) — 375 citations
• Deep Neural Architecture Search with Deep Graph Bayesian Optimization (2019) — 57 citations
• Evolving support vector machines using fruit fly optimization for medical data classification (2016) — 511 citations
• Community Mining from Signed Social Networks (2007) — 400 citations