Ruosong Ye

Artificial Intelligence · 2023

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 49 citations into it
• Graph Learning — 13 citations into it
• Model Architectures — 9 citations into it
• Representation & Self-Supervised Learning — 6 citations into it

Whom Ruosong Ye trusts overall

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

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Sepp Hochreiter
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Jeffrey L. Elman
7. Christian Szegedy
8. Kaiming He
9. Ilya Sutskever
10. Yann LeCun

Who trusts Ruosong Ye overall

1. Bowen Jin

Papers from Ruosong Ye's perspective

Ordered by how strongly the researchers Ruosong Ye 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. Attention is All you Need (Neural Information Processing Systems)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Language is All a Graph Needs (2023) — 307 citations