Xiaoxiao Li

Artificial Intelligence · with Zhang · 2021

A researcher in the Science corpus: 2 papers; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Optimization & Training — 13 citations into it

Whom Xiaoxiao Li trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Yann LeCun
4. Diederik P. Kingma
5. Sergey Ioffe
6. Yoshua Bengio
7. Ilya Sutskever
8. Ross B. Girshick
9. Kaiming He
10. Christian Szegedy

Who trusts Xiaoxiao Li overall

1. Haftay Gebreslasie Abreha
2. Othmane Marfoq
3. Yangsibo Huang
4. Yue Tan
5. Qinbin Li
6. Mohammad R. Hayajneh

Papers from Xiaoxiao Li's perspective

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

Their papers

• FedBN: Federated Learning on Non-IID Features via Local Batch Normalization (2021) — 1,240 citations
• Subgraph Federated Learning with Missing Neighbor Generation (2021) — 297 citations