Li Li
Artificial Intelligence · with Fan · 2020
A researcher in the Science corpus: 2 papers; trusts 39 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 103 citations into it
- Federated & Distributed Learning — 63 citations into it
- Privacy & Security — 20 citations into it
- Computer Science Applications — 18 citations into it
- Electrical and Electronic Engineering — 15 citations into it
- Computer Networks and Communications — 10 citations into it
- Efficiency & Compression — 6 citations into it
- Medical & Health AI — 6 citations into it
Whom Li Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Li Huang
- Dianbo Liu
- H. Brendan McMahan
- Milad Nasr
- Virginia Smith
- Swaroop Indra Ramaswamy
- Eugene Bagdasarian
- Takayuki Nishio
- Yang Liu
- Geoffrey E. Hinton
Who trusts Li Li overall
Papers from Li Li's perspective
Ordered by how strongly the researchers Li Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Survey on federated learning* (2020) — 878 citations
- A review of applications in federated learning (2020) — 1,458 citations