Jian-Bo Yang

Artificial Intelligence · 2008–2012

A researcher in the Science corpus: 2 papers; trusts 22 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 16 citations into it; #22,641 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 13 citations into it; #14,003 of 21,575 by trust here, #18,266 by citations

Whom Jian-Bo Yang trusts overall

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

1. Isabelle M Guyon
2. Leo Breiman
3. S. Sathiya Keerthi
4. Vladimir Naumovich Vapnik
5. Trevor J. Hastie
6. Vladimir Naumovich Vapni
7. Yuhai Wu
8. Nojun Kwak
9. Dustin Boswell
10. J. Platt

Who trusts Jian-Bo Yang overall

1. Romaric Gaudel
2. Andrea Pohoreckyj Danyluk
3. Michèle Sebag
4. Nicholas A. Arnosti
5. C. Ong

Papers from Jian-Bo Yang's perspective

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

Their papers

• An Effective Feature Selection Method via Mutual Information Estimation (2012) — 45 citations
• Feature selection via sensitivity analysis of SVM probabilistic outputs (2008) — 82 citations