Hulin Wu

Statistics and Probability · with Liang · 2002–2014

A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 29 citations into it; #2,401 of 12,932 by trust here, #4,650 by citations
• Molecular Biology — 22 citations into it; #17,268 of 17,773 by trust here, #14,509 by citations
• Control and Systems Engineering — 15 citations into it
• Artificial Intelligence — 10 citations into it; #9,201 of 35,345 by trust here, #20,836 by citations

Whom Hulin Wu trusts overall

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

1. Jianqing Fan
2. Robert Tibshirani
3. Trevor J. Hastie
4. Hui Zou
5. Xihong Lin
6. Danyu Lin
7. Kevin P. Murphy
8. James M. Varah
9. Nicolas J.-B. Brunel
10. Jane-ling Wang

Who trusts Hulin Wu overall

1. Yan Sun
2. Yixin Fang
3. Liugen Xue
4. Xihong Lin
5. Wenyang Zhang
6. Christoph Wunder
7. Shizhe Chen
8. Raymond J. Carroll
9. Howell Tong
10. Jianhua Z. Huang

Papers from Hulin Wu's perspective

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

1. Regression Shrinkage and Selection via the Lasso
2. Model selection and estimation in regression with grouped variables
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Addendum: Regularization and variable selection via the elastic net
5. ImageNet classification with deep convolutional neural networks
6. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
7. The Adaptive Lasso and Its Oracle Properties
8. Gradient-based learning applied to document recognition
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Local Polynomial Mixed-Effects Models for Longitudinal Data (2002) — 150 citations
• Backfitting Random Varying‐Coefficient Models with Time‐Dependent Smoothing Covariates (2004) — 55 citations
• Nonparametric regression methods for longitudinal data analysis (2006) — 202 citations
• Sparse Additive Ordinary Differential Equations for Dynamic Gene Regulatory Network Modeling (2014) — 92 citations
• Semiparametric Time‐Varying Coefficients Regression Model for Longitudinal Data (2005) — 59 citations
• ON IDENTIFIABILITY OF NONLINEAR ODE MODELS AND APPLICATIONS IN VIRAL DYNAMICS (2011) — 655 citations
• Designing acceptance sampling schemes for life testing with mixed censoring (2004) — 53 citations