Peirong Ma

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 250 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 28 citations into it
• Computer Vision and Pattern Recognition — 27 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Radiology, Nuclear Medicine and Imaging — 7 citations into it

Whom Peirong Ma trusts overall

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

1. Diederik P. Kingma
2. Kaiming He
3. Zeynep Akata
4. Geoffrey E. Hinton
5. Yongqin Xian
6. Christoph H. Lampert
7. Alex Krizhevsky
8. Yoshua Bengio
9. Jia Deng
10. Individualized Treat

Papers from Peirong Ma's perspective

Ordered by how strongly the researchers Peirong Ma 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• A Variational Autoencoder with Deep Embedding Model for Generalized Zero-Shot Learning (2020) — 45 citations