Yingxing Fang

Nonlinear dynamics · 2021

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

Whom Yingxing Fang trusts overall

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

1. Michael L. Stein
2. Samuel H. Rudy
3. Maizar Raissi
4. Shigeo Abe
5. Steven L. Brunton

Papers from Yingxing Fang's perspective

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

1. Et al
2. Data-driven discovery of partial differential equations
3. Large sample properties of simulations using latin hypercube sampling
4. Pattern Classification
5. Regression Shrinkage and Selection via the Lasso
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Long Short-Term Memory
8. Discovering governing equations from data by sparse identification of nonlinear dynamical systems
9. ImageNet classification with deep convolutional neural networks
10. Automated reverse engineering of nonlinear dynamical systems

Their papers

• Data-driven femtosecond optical soliton excitations and parameters discovery of the high-order NLSE using the PINN (2021) — 194 citations