Runhua Xu

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 34 citations into it
• Privacy & Security — 14 citations into it
• Computational Theory and Mathematics — 8 citations into it

Whom Runhua Xu trusts overall

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

1. Ivan Bjerre Damgård
2. Cynthia Dwork
3. Dan Boneh
4. Reza Shokri
5. Milad Nasr
6. Mads Jurik
7. Martin Pettai
8. Shafi Goldwasser
9. Peter Kairouz
10. Amit Sahai

Who trusts Runhua Xu overall

1. Li Li
2. Haokun Fang
3. Ahmed El Ouadrhiri
4. Xuefei Yin
5. Hangyu Zhu
6. Latif Ullah Khan
7. Yuxi Fan
8. Quan Qian
9. Ahmed M Abdelhadi
10. Chaoyang He

Papers from Runhua Xu's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Deep Learning with Differential Privacy
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Membership Inference Attacks Against Machine Learning Models

Their papers

• HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning (2019) — 321 citations