Chengping Rao

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 3 papers; trusts 48 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 42 citations into it
• Mechanics of Materials — 30 citations into it
• Artificial Intelligence — 22 citations into it
• Computational Mechanics — 20 citations into it
• Computer Vision and Pattern Recognition — 19 citations into it
• AI for Physical Sciences — 12 citations into it
• Statistics and Probability — 12 citations into it
• Civil and Structural Engineering — 11 citations into it

Whom Chengping Rao trusts overall

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

1. Maizar Raissi
2. George V. Cybenko
3. G. Em Karniadakis
4. Xavier Glorot
5. E. Kharazmi
6. Yoshua Bengio
7. Paris Perdikaris
8. Luning Sun
9. Diederik P. Kingma
10. Richard H. Byrd

Who trusts Chengping Rao overall

1. Han Gao
2. Ameya Dilip Jagtap

Papers from Chengping Rao's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
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. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

• Physics informed deep learning for computational elastodynamics without labeled data (2020) — 340 citations
• Physics-informed deep learning for incompressible laminar flows (2020) — 296 citations
• Three-dimensional convolutional neural network (3D-CNN) for heterogeneous material homogenization (2020) — 274 citations