Yaohua Zang

Statistical and Nonlinear Physics · 2019

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 13 citations into it
• AI for Physical Sciences — 6 citations into it
• Artificial Intelligence — 6 citations into it
• Computational Mechanics — 5 citations into it

Whom Yaohua Zang trusts overall

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

1. Maizar Raissi
2. Paris Perdikaris
3. Randall J. LeVeque
4. Justin A. Sirignano
5. Yibo Yang
6. E. Weinan
7. Jens Berg
8. Mohammad Amin Nabian
9. John C. Duchi
10. Isaac E. Lagaris

Papers from Yaohua Zang's perspective

Ordered by how strongly the researchers Yaohua Zang 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. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Weak Adversarial Networks for High-dimensional Partial Differential Equations (2019) — 537 citations