Wenjuan Yao

Statistical and Nonlinear Physics · 2021

A researcher in the Science corpus: 1 paper; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 23 citations into it
• Artificial Intelligence — 14 citations into it
• AI for Physical Sciences — 8 citations into it
• Computational Mechanics — 8 citations into it
• Computer Vision and Pattern Recognition — 8 citations into it
• Statistics and Probability — 7 citations into it

Whom Wenjuan Yao trusts overall

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

1. Maizar Raissi
2. G. Em Karniadakis
3. Diederik P. Kingma
4. Dongkun Zhang
5. Paris Perdikaris

Papers from Wenjuan Yao's perspective

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

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

Their papers

• Self-adaptive loss balanced Physics-informed neural networks (2021) — 483 citations