Yan Li
Statistics and Probability · with Reddy · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 43 citations into it; #8,110 of 12,932 by trust here, #8,740 by citations
- Artificial Intelligence — 31 citations into it; #22,109 of 35,345 by trust here, #28,481 by citations
- Molecular Biology — 16 citations into it
- Optimization & Training — 9 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
- Health Information Management — 8 citations into it
- Information Systems — 8 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Yan Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Leo Breiman
- Trevor J. Hastie
- David John Cameron MacKay
- Alex Smola
- Thomas G. Dietterich
- Jerome H. Friedman
- Patrick J. Heagerty
- Bernhard Schölkopf
- Noah R. Simon
Who trusts Yan Li overall
Papers from Yan Li's perspective
Ordered by how strongly the researchers Yan Li trusts endorse each paper. Same corpus, a different order for every researcher.
- 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Regression Shrinkage and Selection via the Lasso
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- A Multi-Task Learning Formulation for Survival Analysis (2016) — 138 citations
- Machine Learning for Survival Analysis (2019) — 441 citations
- Machine Learning for Survival Analysis: A Survey (2017) — 434 citations