Runhai Ouyang
Materials Chemistry · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Materials Chemistry — 48 citations into it
- Artificial Intelligence — 7 citations into it
- Biomedical Engineering — 7 citations into it
Whom Runhai Ouyang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Eric R. Ziegel
- Jianqing Fan
- C. Draxl
- E.J. Candes
- Joel A. Tropp
- Matthias Scheffler
- Jinchi Lv
- David L. Donoho
- Gitta Kutyniok
Who trusts Runhai Ouyang overall
Papers from Runhai Ouyang's perspective
Ordered by how strongly the researchers Runhai Ouyang trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- The Elements of Statistical Learning
- An Introduction To Compressive Sampling
- Compressed Sensing
- Greed is good: algorithmic results for sparse approximation (IEEE Transactions on Information Theory)
- 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)
- Multi-task feature selection
- Estimating the Dimension of a Model
Their papers
- New tolerance factor to predict the stability of perovskite oxides and halides (2018) — 1,477 citations
- SISSO: A compressed-sensing method for identifying the best low-dimensional descriptor in an immensity of offered candidates (2017) — 557 citations
- Simultaneous learning of several materials properties from incomplete databases with multi-task SISSO (2019) — 170 citations