Chieh Hua Lin

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 25 citations into it; #8,729 of 17,773 by trust here, #13,563 by citations
• Cancer Research — 5 citations into it

Whom Chieh Hua Lin trusts overall

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

1. Emma Pierson
2. David Arthur
3. Xuan Vinh Nguyen
4. Aaron T. L. Lun
5. Dumitru Erhan
6. Stefano Monti
7. Junjie Zhu
8. Chris Stark
9. Yoshua Bengio
10. Florian Buettner

Who trusts Chieh Hua Lin overall

1. Romain Lopez
2. Jeffrey C. Regier
3. Michael Cole
4. Michael I. Jordan
5. Nir Yosef

Papers from Chieh Hua Lin's perspective

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

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

Their papers

• Using neural networks for reducing the dimensions of single-cell RNA-Seq data (2017) — 183 citations