Wenxin Jiang

Statistics and Probability · with Tanner · 1999–2015

A researcher in the Science corpus: 7 papers; trusts 15 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 29 citations into it; #6,129 of 12,932 by trust here, #6,080 by citations
• Artificial Intelligence — 15 citations into it; #16,917 of 35,345 by trust here, #23,731 by citations
• Probabilistic & Bayesian Methods — 6 citations into it

Whom Wenxin Jiang trusts overall

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

1. Peter Buhlmann
2. Tong Zhang
3. I. Igumenshchev
4. Trevor J. Hastie
5. Michael I. Jordan
6. Jerome H. Friedman
7. Robert Tibshirani
8. Eitan Greenshtein
9. Eric R. Ziegel
10. Nicolai Meinshausen

Who trusts Wenxin Jiang overall

1. Rina Foygel
2. Charmaine B. Dean
3. F. Liang
4. D. James Greiner
5. Seniha Esen Yüksel

Papers from Wenxin Jiang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Identification and visualization of multidimensional antigen-specific T-cell populations in polychromatic cytometry data (2015) — 28 citations
• Model selection in spline nonparametric regression (2002) — 46 citations
• Bayesian variable selection for high dimensional generalized linear models : Convergence rates of the fitted densities (2007) — 103 citations
• Mixtures of marginal models (2000) — 70 citations
• Bayesian and Frequentist Inference for Ecological Inference: The R×C Case (2001) — 156 citations
• Bayesian Analysis in Moment Inequality Models (2010) — 46 citations
• On the identifiability of mixtures-of-experts (1999)