Jing Ma

Artificial Intelligence · with Lyu · 2021

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 31 citations into it
• Privacy & Security — 16 citations into it
• Computational Theory and Mathematics — 7 citations into it
• Safety, Robustness & Interpretability — 7 citations into it

Whom Jing Ma trusts overall

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

1. Cynthia Dwork
2. Andrew L. Maas
3. Keith B. Frikken
4. Ivan Bjerre Damgård
5. Frank McSherry
6. Adriana López-Alt
7. Akinori Kawachi
8. Dong Yin
9. Le Trieu Phong
10. Jakub Konecný

Papers from Jing Ma's perspective

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

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

Their papers

• Privacy‐preserving federated learning based on multi‐key homomorphic encryption (2021) — 388 citations