Shaobo Han

Artificial Intelligence · 2012–2013

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it; #28,469 of 35,345 by trust here, #33,294 by citations
• Statistics and Probability — 10 citations into it
• Probabilistic & Bayesian Methods — 9 citations into it

Whom Shaobo Han trusts overall

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

1. Jonathan Baxter
2. Matthew J. Beal
3. Mário A. T. Figueiredo
4. S. Ejaz Ahmed
5. Chris Hans
6. Manfred Opper
7. Trevor Park
8. Chang Wang
9. Peter J. Bickel
10. Brian Kulis

Who trusts Shaobo Han overall

1. Yu Zhang
2. Haitham Bou-Ammar
3. Qiang Yang
4. Nicolas Chapados
5. Eric Eaton

Papers from Shaobo Han's perspective

Ordered by how strongly the researchers Shaobo Han 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Regression Shrinkage and Selection via the Lasso
6. Learning Multiple Layers of Features from Tiny Images
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Integrated Non-Factorized Variational Inference (2013) — 10 citations
• Cross-Domain Multitask Learning with Latent Probit Models (2012) — 18 citations