Hao Xu

Computational Mechanics · with Eis · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 8 citations into it
• Statistics and Probability — 5 citations into it

Whom Hao Xu trusts overall

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

1. Robert Tibshirani
2. Michael Lustig
3. David L. Donoho
4. Jonathan E. Taylor
5. Julien Mairal
6. Ming Yuan
7. John Wright

Papers from Hao Xu's perspective

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

1. Model selection and estimation in regression with grouped variables
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Regression Shrinkage and Selection via the Lasso
4. ImageNet classification with deep convolutional neural networks
5. Sparse Representation for Color Image Restoration
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Atomic Decomposition by Basis Pursuit
9. The Elements of Statistical Learning
10. ImageNet: A large-scale hierarchical image database

Their papers

• The generalized lasso is reducible to a subspace constrained lasso (2013) — 9 citations