Lianming Wang

Artificial Intelligence · 2011

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 9 citations into it; #18,036 of 35,345 by trust here, #33,294 by citations
• Statistics and Probability — 7 citations into it; #6,523 of 12,932 by trust here, #11,487 by citations

Whom Lianming Wang trusts overall

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

1. Michael I. Jordan
2. Matthew Stephens
3. Hemant Ishwaran
4. S. MacEachern
5. Alan E. Gelfand
6. S. Geisser
7. Fernando A. Quintana
8. Surya T. Tokdar
9. Matthew West
10. Lancelot F. James

Who trusts Lianming Wang overall

1. Kris M. Kitani
2. Soochan Lee
3. Gerry Tonkin-Hill
4. Takahiro Okabe
5. Junsoo Ha
6. John Lees
7. Yoichi Sato
8. Dongsu Zhang

Papers from Lianming Wang's perspective

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

1. Bayesian Density Estimation and Inference Using Mixtures
2. Estimating normal means with a conjugate style dirichlet process prior
3. Gibbs Sampling Methods for Stick-Breaking Priors
4. ImageNet classification with deep convolutional neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric Problems
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Long Short-Term Memory

Their papers

• Fast Bayesian Inference in Dirichlet Process Mixture Models (2011) — 109 citations