Sheng Yang Michael Loh

Molecular Biology · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 35 citations into it
• Biophysics — 16 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Sheng Yang Michael Loh trusts overall

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

1. David G. Lowe
2. Jennifer Waters
3. Michael V. Boland
4. Petra S. Dittrich
5. Pascal Vincent
6. Trevor J. Hastie
7. Kok Hao Chen

Papers from Sheng Yang Michael Loh's perspective

Ordered by how strongly the researchers Sheng Yang Michael Loh trusts endorse each paper. Same corpus, a different order for every researcher.

1. This PDF file includes: Materials and Methods
2. Extracting and composing robust features with denoising autoencoders
3. Object recognition from local scale-invariant features
4. Random Forests
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Gradient-based learning applied to document recognition
8. ImageNet Large Scale Visual Recognition Challenge
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Large‐scale image‐based screening and profiling of cellular phenotypes (2017) — 65 citations