Xiaoming Huo

Statistics and Probability · 2001–2017

A researcher in the Science corpus: 4 papers; trusts 39 researchers and is trusted by 98 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 22 citations into it; #3,730 of 12,932 by trust here, #6,552 by citations
• Computational Mechanics — 15 citations into it; #265 of 10,001 by trust here, #502 by citations
• Signal Processing — 13 citations into it; #1,702 of 7,572 by trust here, #3,309 by citations
• Artificial Intelligence — 8 citations into it; #10,617 of 35,345 by trust here, #23,731 by citations
• Statistical Learning Theory — 8 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it; #3,294 of 21,575 by trust here, #4,317 by citations
• Finance — 5 citations into it

Whom Xiaoming Huo trusts overall

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

1. G'abor J. Sz'ekely
2. David L. Donoho
3. Runze Li
4. Michael R. Kosorok
5. Liping Zhu
6. Joel A. Tropp
7. Maria L. Rizzo
8. Stéphane Mallat
9. Jianqing Fan
10. Michael Elad

Who trusts Xiaoming Huo overall

1. David L. Donoho
2. Yonina C. Eldar
3. Moshe Mishali
4. E.J. Candes
5. Arin Chaudhuri
6. Jianqing Fan
7. Mathias Drton
8. Hongjian Shi
9. Cheng Huang
10. Michael Elad

Papers from Xiaoming Huo's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Atomic Decomposition by Basis Pursuit
5. Probability in Banach Spaces: Isoperimetry and Processes
6. Sure independence screening for ultrahigh dimensional feature space Discussion
7. The Elements of Statistical Learning
8. ImageNet: A large-scale hierarchical image database
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. For most large underdetermined systems of linear equations the minimal 𝓁1‐norm solution is also the sparsest solution

Their papers

• Uncertainty principles and ideal atomic decomposition (2001) — 2,128 citations
• A Statistically and Numerically Efficient Independence Test Based on Random Projections and Distance Covariance (2017) — 36 citations
• Fast Computing for Distance Covariance (2014) — 152 citations
• Theoretical Results on Sparse Representations of Multiple-Measurement Vectors (2006) — 815 citations