Xiaozhou Ye

Artificial Intelligence · with He · 2022

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

Subfields

• Artificial Intelligence — 40 citations into it

Whom Xiaozhou Ye trusts

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

1. Cynthia Dwork (in Artificial Intelligence)
2. Yang Liu (in Artificial Intelligence)

Papers from Xiaozhou Ye's perspective

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

1. Explaining and Harnessing Adversarial Examples
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Communication-Efficient Learning of Deep Networks from Decentralized Data
6. Privacy-preserving deep learning
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. 3D ShapeNets: A deep representation for volumetric shapes
10. Long Short-Term Memory

Their papers

• Vertical Federated Learning: Concepts, Advances, and Challenges (2022) — 384 citations