Yingzi Shang

Molecular Biology · 2010–2018

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 33 citations into it; #11,207 of 17,773 by trust here, #14,509 by citations
• Computational Biology & Bioinformatics — 22 citations into it
• Materials Chemistry — 22 citations into it
• Model Architectures — 5 citations into it

Whom Yingzi Shang 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 Yingzi Shang overall

1. Claudio Mirabello
2. Björn Wallner

Papers from Yingzi Shang's perspective

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

1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
2. Rectified Linear Units Improve Restricted Boltzmann Machines
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
9. Attention is All you Need (Neural Information Processing Systems)
10. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Their papers

• MUFOLD: A new solution for protein 3D structure prediction (2010) — 78 citations
• MUFOLD-SS: New Deep Inception-Inside-Inception Networks for Protein Secondary Structure Prediction (2018) — 157 citations