Xinyang Cao

Artificial Intelligence · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 20 citations into it; #33,288 of 35,345 by trust here, #31,361 by citations
• Optimization & Training — 6 citations into it
• Statistics and Probability — 5 citations into it

Whom Xinyang Cao trusts overall

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

1. Cong Xie
2. Peva Blanchard
3. Lingjiao Chen
4. Lili Su
5. Dong Yin
6. Dan Alistarh
7. El Mahdi El Mhamdi
8. Oluwasanmi Koyejo
9. Yudong Chen
10. Hongyi Wang

Who trusts Xinyang Cao overall

1. Cong Xie
2. Krishna Pillutla

Papers from Xinyang Cao's perspective

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

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

Their papers

• Distributed Gradient Descent Algorithm Robust to an Arbitrary Number of Byzantine Attackers (2019) — 94 citations
• Robust Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers (2018) — 8 citations