Yangrui Chen

Artificial Intelligence · 2018–2025

A researcher in the Science corpus: 4 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 58 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it
• Optimization & Training — 25 citations into it
• Model Architectures — 14 citations into it

Whom Yangrui Chen trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Ilya Sutskever
6. Yoshua Bengio
7. X. Zhang
8. Yann LeCun
9. Diederik P. Kingma
10. Ross B. Girshick

Papers from Yangrui Chen's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. Gradient-based learning applied to document recognition
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• A generic communication scheduler for distributed DNN training acceleration (2019) — 407 citations
• Seed1.5-VL Technical Report (2025) — 350 citations
• MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs (2024) — 350 citations
• Optimus: an efficient dynamic resource scheduler for deep learning clusters (2018) — 511 citations