Meirui Jiang

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 63 citations into it
• Computer Vision and Pattern Recognition — 34 citations into it
• Optimization & Training — 13 citations into it

Whom Meirui Jiang 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. Kaiming He
9. Christian Szegedy
10. Tim Salimans

Who trusts Meirui Jiang overall

1. Haftay Gebreslasie Abreha

Papers from Meirui Jiang's perspective

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

Their papers

• Federated learning enables big data for rare cancer boundary detection (2022) — 346 citations
• FedBN: Federated Learning on Non-IID Features via Local Batch Normalization (2021) — 1,240 citations