Chengyang Ying

Statistical and Nonlinear Physics · 2023

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

Subfields

• Statistical and Nonlinear Physics — 9 citations into it
• Computational Mechanics — 6 citations into it

Whom Chengyang Ying trusts overall

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

1. Shuhao Cao
2. Zong-Yi Li
3. Ilya Loshchilov
4. Leslie N. Smith
5. Geoffrey E. Hinton
6. Ameya Dilip Jagtap

Papers from Chengyang Ying's perspective

Ordered by how strongly the researchers Chengyang Ying 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. 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. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. ImageNet: A large-scale hierarchical image database
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• GNOT: A General Neural Operator Transformer for Operator Learning (2023) — 432 citations