Shaoming Xu

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 2 papers; trusts 66 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 138 citations into it
• Artificial Intelligence — 98 citations into it
• Computer Vision and Pattern Recognition — 57 citations into it
• Computational Mechanics — 54 citations into it
• Materials Chemistry — 51 citations into it
• Statistics and Probability — 39 citations into it
• AI for Physical Sciences — 36 citations into it
• Computational Theory and Mathematics — 34 citations into it

Whom Shaoming Xu trusts overall

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

1. Steven L. Brunton
2. Maizar Raissi
3. J. Behler
4. Igor Mezi'c
5. Liu Yang
6. J. Nathan Kutz
7. G. Em Karniadakis
8. Anuj Karpatne
9. Geoffrey E. Hinton
10. Kaiming He

Papers from Shaoming Xu's perspective

Ordered by how strongly the researchers Shaoming Xu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Et al

Their papers

• Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems (2020) — 728 citations
• Integrating Physics-Based Modeling with Machine Learning: A Survey (2020) — 416 citations