Zhaoxian Wu

Artificial Intelligence · 2019

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 — 24 citations into it
• Computational Mechanics — 8 citations into it

Whom Zhaoxian Wu trusts overall

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

1. Stanislav Minsker
2. Lili Su
3. Cong Xie
4. Yudong Chen
5. Jiaming Xu
6. Peva Blanchard
7. L. Eon Bottou
8. Xiang Wang
9. Yurii E. Nesterov
10. Alex Krizhevsky

Papers from Zhaoxian Wu's perspective

Ordered by how strongly the researchers Zhaoxian Wu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Federated Variance-Reduced Stochastic Gradient Descent With Robustness to Byzantine Attacks (2019) — 237 citations