Junming Yin
Statistics and Probability · 2012–2017
A researcher in the Science corpus: 3 papers; trusts 26 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 23 citations into it
- Artificial Intelligence — 19 citations into it
- Statistical and Nonlinear Physics — 17 citations into it
- Computational Mechanics — 11 citations into it
- Computational Theory and Mathematics — 9 citations into it
- Optimization & Training — 7 citations into it
- Numerical Analysis — 6 citations into it
- Molecular Biology — 5 citations into it
Whom Junming Yin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Yurii E. Nesterov
- Trevor J. Hastie
- Yaoliang Yu
- Robert A. Lordo
- Yi Lin
- Jerome H. Friedman
- Ming Yuan
- Jianqing Fan
- Ashley Petersen
Who trusts Junming Yin overall
Papers from Junming Yin's perspective
Ordered by how strongly the researchers Junming Yin trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Model selection and estimation in regression with grouped variables
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
Their papers
- Group Sparse Additive Models (2012) — 43 citations
- Convex-constrained Sparse Additive Modeling and Its Extensions (2017) — 3 citations
- Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks (2014) — 210 citations