Fang Han
Statistics and Probability · 2012–2021
A researcher in the Science corpus: 9 papers; trusts 132 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 178 citations into it; #2,492 of 12,932 by trust here, #1,432 by citations
- Artificial Intelligence — 62 citations into it; #8,282 of 35,345 by trust here, #8,439 by citations
- Computational Mechanics — 41 citations into it
- Finance — 24 citations into it
- Statistical Learning Theory — 24 citations into it
- Computer Vision and Pattern Recognition — 20 citations into it
- Economics and Econometrics — 19 citations into it
- Molecular Biology — 18 citations into it
Whom Fang Han trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hannu Oja
- Robert Tibshirani
- Sourav Chatterjee
- Marc Hallin
- Zongming Ma
- Tommaso Cai
- Jianqing Fan
- Joel A. Tropp
- E.J. Candes
- Roman Vershynin
Who trusts Fang Han overall
- Mengjie Chen
- Lingzhou Xue
- Hongjian Shi
- Jianqing Fan
- Chao Gao
- Mathias Drton
- Zhao Ren
- Nabarun Deb
- Peter Buhlmann
- Zhexiao Lin
Papers from Fang Han's perspective
Ordered by how strongly the researchers Fang Han trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- High-dimensional graphs and variable selection with the Lasso
- Gradient-based learning applied to document recognition
- Model selection and estimation in regression with grouped variables
- ImageNet: A large-scale hierarchical image database
- Estimating the Dimension of a Model
- The Elements of Statistical Learning
Their papers
- High Dimensional Semiparametric Gaussian Copula Graphical Models. (2012) — 402 citations
- High Dimensional Semiparametric Gaussian Copula Graphical Models (2012) — 228 citations
- Distribution-Free Consistent Independence Tests via Center-Outward Ranks and Signs (2019) — 89 citations
- Challenges of Big Data Analysis (2013) — 1,427 citations
- High-dimensional consistent independence testing with maxima of rank correlations (2018) — 56 citations
- On boosting the power of Chatterjee’s rank correlation (2021) — 63 citations
- ECA: High-Dimensional Elliptical Component Analysis in Non-Gaussian Distributions (2013) — 66 citations
- On Azadkia–Chatterjee’s conditional dependence coefficient (2021) — 51 citations
- On the power of Chatterjee’s rank correlation (2020) — 74 citations