Jian Ma

Molecular Biology · with Wang · 2016–2020

A researcher in the Science corpus: 2 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 33 citations into it
• Artificial Intelligence — 28 citations into it
• Model Architectures — 10 citations into it
• Computational Biology & Bioinformatics — 7 citations into it

Whom Jian Ma trusts overall

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

1. Xavier Glorot
2. Diederik P. Kingma

Papers from Jian Ma's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. Long Short-Term Memory
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. ImageNet Large Scale Visual Recognition Challenge
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Densely Connected Convolutional Networks
8. Understanding the difficulty of training deep feedforward neural networks
9. Microsoft COCO: Common Objects in Context
10. Deep Learning

Their papers

• A Multi-Organ Nucleus Segmentation Challenge (2020) — 533 citations
• Predicting enhancer-promoter interaction from genomic sequence with deep neural networks (2016) — 153 citations