Juan Shen
Artificial Intelligence · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 10 citations into it
- Statistics and Probability — 9 citations into it
Whom Juan Shen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Naonori Ueda
- C. Wong
- Hong-Tu Zhu
- Yungtai Lo
- Jürgen Fritsch
- Jared C. Foster
- Seniha Esen Yüksel
- Jiahua Chen
- Zoubin Ghahramani
- Wai Keung Li
Who trusts Juan Shen overall
- Xiahai Zhuang
- Cheng Chen
- Krishna Chaitanya
- Rushi Jiao
- Xiaofeng Liu
- Agisilaos Chartsias
- Ling Zhang
- Qi-Yan Dou
Papers from Juan Shen's perspective
Ordered by how strongly the researchers Juan Shen trusts endorse each paper. Same corpus, a different order for every researcher.
- Hierarchical Mixtures of Experts and the EM Algorithm
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- A modified likelihood ratio test for homogeneity in finite mixture models
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Bayesian model search for mixture models based on optimizing variational bounds
- ImageNet classification with deep convolutional neural networks
- Adaptively Growing Hierarchical Mixtures of Experts
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Hypothesis test for normal mixture models: The EM approach
- On a logistic mixture autoregressive model
Their papers
- Multi-scale patch and multi-modality atlases for whole heart segmentation of MRI (2016) — 512 citations
- Inference for Subgroup Analysis With a Structured Logistic-Normal Mixture Model (2015) — 151 citations