Yong Chen

Artificial Intelligence · with Chen · 2021–2023

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 60 citations into it
• Federated & Distributed Learning — 8 citations into it

Whom Yong Chen trusts overall

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

1. Sepp Hochreiter
2. Li Huang
3. Siwei Feng

Papers from Yong Chen's perspective

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

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

Their papers

• A generalist vision–language foundation model for diverse biomedical tasks (2023) — 401 citations
• Federated Multi-view Learning for Private Medical Data Integration and Analysis (2021) — 50 citations