Junzhe Xia

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Privacy & Security — 13 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Junzhe Xia trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. L. Eon Bottou
5. Pascal Paillier
6. Sepp Hochreiter
7. Ron Banner
8. Ilya Sutskever
9. Yoshua Bengio
10. Jimmy Ba

Papers from Junzhe Xia's perspective

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

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

Their papers

• BatchCrypt: Efficient Homomorphic Encryption for Cross-Silo Federated Learning (2020) — 927 citations