Yunlong Gao

Artificial Intelligence · 2010

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #33,511 of 35,345 by trust here, #34,213 by citations
• Computer Vision and Pattern Recognition — 5 citations into it; #20,474 of 21,575 by trust here, #21,103 by citations

Whom Yunlong Gao trusts overall

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

1. Rocco A. Servedio
2. Thomas M. Cover
3. Gunnar Rätsch
4. Jerome H. Friedman
5. Thomas G. Dietterich
6. Robert E. Schapire
7. Takashi Onoda
8. Yoav Freund
9. Kilian Q. Weinberger
10. K. Müller

Who trusts Yunlong Gao overall

1. Octavio Loyola-González
2. Azal Ahmad Khan

Papers from Yunlong Gao's perspective

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

1. Neural Networks for Pattern Recognition
2. Gradient-based learning applied to document recognition
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Distance Metric Learning for Large Margin Nearest Neighbor Classification
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Smooth Boosting and Learning with Malicious Noise

Their papers

• Edited AdaBoost by weighted kNN (2010) — 63 citations