Rui Jiang
Molecular Biology · Molecular Systems Biology · 2008–2016
A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 50 citations into it; #12,004 of 17,773 by trust here, #9,600 by citations
- Genetics — 24 citations into it; #3,479 of 6,854 by trust here, #5,057 by citations
- Artificial Intelligence — 5 citations into it
- Computational Biology & Bioinformatics — 5 citations into it
Whom Rui Jiang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yu Zhang
- J. K. Pritchard
- Ramón Díaz-Uriarte
- Jonathan Marchini
- Victor A. McKusick
- Matthew R. Nelson
- N. Risch
- Jun S. Liu
- Alexandre Bureau
- S. Á. D. Andrés
Who trusts Rui Jiang overall
- X. Chen
- M. Fitzpatrick
- Anne-Laure Boulesteix
- Pengyi Yang
- Scott M. Lundberg
- Bjoern H Menze
- Oded Magger
- Stephen R. Keller
- Hemant Ishwaran
- J. Chen
Papers from Rui Jiang's perspective
Ordered by how strongly the researchers Rui Jiang trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Searching for genetic determinants in the new millennium (Nature)
- ImageNet classification with deep convolutional neural networks
- Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- A combinatorial partitioning method to identify multilocus genotypic partitions that predict quantitative trait variation. (Genome Research)
- Theano: new features and speed improvements
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Network-based global inference of human disease genes (2008) — 675 citations
- DeepEnhancer: Predicting enhancers by convolutional neural networks (2016) — 40 citations
- Computational Systems Biology (2013) — 671 citations
- A random forest approach to the detection of epistatic interactions in case-control studies (2009) — 305 citations