Xiaohan Yan

Statistics and Probability · 2015

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 13 citations into it
• Computational Mechanics — 7 citations into it
• Artificial Intelligence — 5 citations into it

Whom Xiaohan Yan trusts overall

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

1. Francis R. Bach
2. Robert Tibshirani
3. Rodolphe Jenatton
4. Ming Yuan
5. Trevor J. Hastie
6. Jerome H. Friedman
7. Julien Mairal
8. Yurii E. Nesterov
9. Guillaume Obozinski
10. Yi Lin

Papers from Xiaohan Yan's perspective

Ordered by how strongly the researchers Xiaohan Yan 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. Regression Shrinkage and Selection via the Lasso
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Hierarchical Sparse Modeling: A Choice of Two Group Lasso Formulations (2015) — 50 citations