Yifeng Li
Molecular Biology · with Wasserman · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 36 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 38 citations into it; #6,620 of 17,773 by trust here, #12,465 by citations
- Artificial Intelligence — 10 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Model Architectures — 5 citations into it
Whom Yifeng Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Robert Tibshirani
- Trevor J. Hastie
- Yoshua Bengio
- Yann LeCun
- Jerome H. Friedman
- Vinod Nair
- Wyeth W. Wasserman
- Hui Zou
- ENCODEConsortium
Who trusts Yifeng Li overall
- Shashank Singh
- Seonwoo Min
- Jundong Li
- Yang Yang
- Byunghan Lee
- Wenqiang Shi
- Barnab'as P'oczos
- Kewei Cheng
Papers from Yifeng Li's perspective
Ordered by how strongly the researchers Yifeng 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Deep Feature Selection: Theory and Application to Identify Enhancers and Promoters (2015) — 263 citations
- Genome-wide prediction of cis-regulatory regions using supervised deep learning methods (2016) — 115 citations