Weilun Qiu

Statistical and Nonlinear Physics · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistical and Nonlinear Physics — 16 citations into it
• Artificial Intelligence — 9 citations into it
• AI for Physical Sciences — 6 citations into it

Whom Weilun Qiu trusts overall

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

1. Maizar Raissi
2. G. Em Karniadakis
3. Xavier Glorot
4. Xuhui Meng
5. Isaac E. Lagaris
6. E. Kharazmi
7. Tong Qin
8. Lu Lu
9. Yoshua Bengio
10. Yohai Bar-Sinai

Papers from Weilun Qiu's perspective

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

1. Understanding the difficulty of training deep feedforward neural networks
2. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
3. ImageNet classification with deep convolutional neural networks
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Learning Multiple Layers of Features from Tiny Images
8. DeepXDE: A Deep Learning Library for Solving Differential Equations
9. Attention is All you Need (Neural Information Processing Systems)
10. Going deeper with convolutions

Their papers

• Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics (2020) — 315 citations