Ping Li

Artificial Intelligence · with Chen · 2017

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 38 citations into it
• Privacy & Security — 12 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Ping Li trusts overall

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

1. Craig Gentry
2. Zvika Brakerski
3. Thore Graepel
4. Qingchen Zhang
5. Jaideep Vaidya
6. Dan Boneh
7. Geoffrey E. Hinton
8. Vinod Vaikuntanathan
9. Kristin E. Lauter
10. Alex Graves

Who trusts Ping Li overall

1. Jinhyun So
2. Qinbin Li
3. Shuteng Niu
4. Jing Ma
5. Bo Liu
6. Basak Guler

Papers from Ping Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Fully homomorphic encryption using ideal lattices
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Learning Multiple Layers of Features from Tiny Images
8. Long Short-Term Memory
9. ImageNet: A large-scale hierarchical image database
10. Fair exchange with a semi-trusted third party (extended abstract)

Their papers

• Multi-key privacy-preserving deep learning in cloud computing (2017) — 452 citations
• Privacy-preserving outsourced classification in cloud computing (2017) — 317 citations