Sen Liu

Artificial Intelligence · with Li · 2019–2020

A researcher in the Science corpus: 3 papers; trusts 12 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 42 citations into it; #23,565 of 35,345 by trust here, #11,490 by citations
• Privacy & Security — 22 citations into it
• Safety, Robustness & Interpretability — 10 citations into it

Whom Sen Liu trusts overall

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

1. L. Eon Bottou
2. Reza Shokri
3. Dan Boneh
4. Johannes Blömer
5. Justin Thaler
6. Craig Gentry
7. Cynthia Dwork
8. Zvika Brakerski
9. Le Trieu Phong
10. Mihir Bellare

Who trusts Sen Liu overall

1. Xuefei Yin

Papers from Sen Liu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Large Scale Distributed Deep Networks
3. Gradient-based learning applied to document recognition
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Learning Multiple Layers of Features from Tiny Images
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Natural Language Processing (Almost) from Scratch
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence (2020) — 418 citations
• VerifyNet: Secure and Verifiable Federated Learning (2020) — 743 citations
• Towards Efficient and Privacy-Preserving Federated Deep Learning (2019) — 200 citations