Sicong Che

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Federated & Distributed Learning — 8 citations into it

Whom Sicong Che trusts overall

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

1. Sepp Hochreiter
2. Li Huang
3. Siwei Feng
4. Corinna Cortes
5. Wenliang Du
6. Zheng Zhao
7. J. Urgen Schmidhuber
8. Kyunghyun Cho
9. Michael I. Jordan
10. H. Brendan McMahan

Who trusts Sicong Che overall

1. Lichao Sun

Papers from Sicong Che's perspective

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

Their papers

• Federated Multi-view Learning for Private Medical Data Integration and Analysis (2021) — 50 citations