Chenling A. Xu

Molecular Biology · 2019–2022

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 51 citations into it
• Artificial Intelligence — 16 citations into it

Whom Chenling A. Xu trusts overall

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

1. Diederik P. Kingma
2. Christoph Hafemeister
3. Sergey Ioffe
4. Tatiana Tommasi
5. Amos Tanay
6. Charlotte Soneson
7. Rahul Satija
8. W. Johnson
9. Brian L. Hie
10. Max Welling

Who trusts Chenling A. Xu overall

1. Malte D. Luecken
2. Stephen R. Quake

Papers from Chenling A. Xu's perspective

Ordered by how strongly the researchers Chenling A. Xu 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. ImageNet classification with deep convolutional neural networks
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Auto-Encoding Variational Bayes (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models (2019) — 591 citations
• A Python library for probabilistic analysis of single-cell omics data (2022) — 658 citations