Shuai Meng

Statistical and Nonlinear Physics · 2022

A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 20 citations into it
• Artificial Intelligence — 8 citations into it
• Computational Mechanics — 6 citations into it
• Mathematical Physics — 5 citations into it

Whom Shuai Meng trusts overall

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

1. Lu Lu
2. G. Em Karniadakis
3. Maizar Raissi
4. Diederik P. Kingma
5. Alireza Yazdani
6. Guofei Pang
7. Justin A. Sirignano
8. Paris Perdikaris
9. E. Weinan
10. Xuhui Meng

Papers from Shuai Meng's perspective

Ordered by how strongly the researchers Shuai Meng 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. Gradient-based learning applied to document recognition
6. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
7. Learning Multiple Layers of Features from Tiny Images
8. Going deeper with convolutions
9. Attention is All you Need (Neural Information Processing Systems)
10. GENERATIVE ADVERSARIAL NETS

Their papers

• MIONet: Learning multiple-input operators via tensor product (2022) — 308 citations