Weichuan Yu
Molecular Biology · 2009–2011
A researcher in the Science corpus: 5 papers; trusts 74 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 33 citations into it; #5,231 of 17,773 by trust here, #11,207 by citations
- Computer Vision and Pattern Recognition — 32 citations into it; #14,327 of 21,575 by trust here, #19,766 by citations
- Genetics — 29 citations into it
- Artificial Intelligence — 18 citations into it
- Statistics and Probability — 18 citations into it
- Computational Mechanics — 14 citations into it
- Optimization & Training — 8 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom Weichuan Yu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Robert Tibshirani
- Francis R. Bach
- Tin Kam Ho
- Trevor J. Hastie
- Jerome H. Friedman
- E.J. Candes
- Richard Szeliski
- S. Li
- Massimo Piccardi
- Cynthia Dwork
Who trusts Weichuan Yu overall
Papers from Weichuan Yu's perspective
Ordered by how strongly the researchers Weichuan Yu 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Stable Feature Selection for Biomarker Discovery (2010) — 319 citations
- BOOST: A fast approach to detecting gene-gene interactions in genome-wide case-control studies (2010) — 529 citations
- SNPHarvester: a filtering-based approach for detecting epistatic interactions in genome-wide association studies (2009) — 208 citations
- Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation (2011) — 658 citations
- MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study (2009) — 116 citations