Wen-jie Lu

Artificial Intelligence · 2022

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 — 29 citations into it
• Privacy & Security — 16 citations into it
• Computational Theory and Mathematics — 7 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Wen-jie Lu trusts overall

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

1. Craig Gentry
2. Yehuda Lindell
3. Alex Krizhevsky
4. Oded Goldreich
5. Shai Halevi
6. Nigel P. Smart
7. Hao Chen
8. Alon Brutzkus
9. Gilad Asharov
10. Assi Barak

Papers from Wen-jie Lu's perspective

Ordered by how strongly the researchers Wen-jie Lu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Learning Multiple Layers of Features from Tiny Images
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Fully homomorphic encryption using ideal lattices
4. Densely Connected Convolutional Networks
5. ImageNet classification with deep convolutional neural networks
6. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
7. Gradient-based learning applied to document recognition
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Extending Oblivious Transfers Efficiently
10. ImageNet: A large-scale hierarchical image database

Their papers

• Cheetah: Lean and Fast Secure Two-Party Deep Neural Network Inference (2022) — 315 citations