Yufeng Liu

Statistics and Probability · with Wu · 2007–2021

A researcher in the Science corpus: 7 papers; trusts 48 researchers and is trusted by 27 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 83 citations into it; #2,563 of 12,932 by trust here, #3,102 by citations
• Artificial Intelligence — 31 citations into it; #18,654 of 35,345 by trust here, #20,836 by citations
• Optimization & Training — 19 citations into it
• Statistical Learning Theory — 17 citations into it
• Management Science and Operations Research — 15 citations into it
• Computational Mechanics — 13 citations into it
• Control and Systems Engineering — 13 citations into it; #1,033 of 8,257 by trust here, #2,447 by citations
• Molecular Biology — 13 citations into it

Whom Yufeng Liu trusts overall

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

1. Robert Tibshirani
2. Ji Zhu
3. Jianqing Fan
4. Youjuan Li
5. Jerome H. Friedman
6. Hui Zou
7. Yichao Wu
8. David L. Donoho
9. Roger W. Koenker
10. Trevor J. Hastie

Who trusts Yufeng Liu overall

1. Yichao Wu
2. Haipeng Shen
3. Shujie Ma
4. Dan Yang
5. Heng Lian
6. Daniel J. Hsu
7. Jianhua Z. Huang
8. Tan Minh Nguyen
9. Yasar Sinan Nasir
10. Qiongxia Song

Papers from Yufeng Liu's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Estimating the Dimension of a Model
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. The Nature of Statistical Learning Theory
6. Spline Models for Observational Data
7. ImageNet: A large-scale hierarchical image database
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Gradient-based learning applied to document recognition
10. Ideal spatial adaptation by wavelet shrinkage

Their papers

• Journal of the American Statistical Association Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models — 175 citations
• Statistical Significance of Clustering for High-Dimension, Low–Sample Size Data (2008) — 320 citations
• Robust Truncated Hinge Loss Support Vector Machines (2007) — 407 citations
• Variable Selection via A Combination of the L0 and L1 Penalties (2007) — 98 citations
• Supervised Learning (2021) — 686 citations
• Stepwise multiple quantile regression estimation using non-crossing constraints (2009) — 110 citations
• VARIABLE SELECTION IN QUANTILE REGRESSION (2009) — 457 citations