Chao Fang

Molecular Biology · 2018

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 14 citations into it; #11,675 of 17,773 by trust here, #16,527 by citations
• Computational Biology & Bioinformatics — 8 citations into it
• Materials Chemistry — 8 citations into it
• Model Architectures — 5 citations into it

Whom Chao Fang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David C. Jones
2. Sergey Ioffe
3. Christian Szegedy
4. Vinod Nair
5. Gianluca Pollastri
6. Jian Zhou
7. Geoffrey E. Hinton
8. Rhys Heffernan
9. Michael Remmert
10. Stephen F. Altschul

Who trusts Chao Fang overall

1. Claudio Mirabello
2. Björn Wallner
3. Iddo Drori

Papers from Chao Fang's perspective

Ordered by how strongly the researchers Chao Fang trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Rectified Linear Units Improve Restricted Boltzmann Machines
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• MUFOLD-SS: New Deep Inception-Inside-Inception Networks for Protein Secondary Structure Prediction (2018) — 157 citations