Weiqi Ji

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 Weiqi Ji 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 Weiqi Ji's perspective

Ordered by how strongly the researchers Weiqi Ji 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. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Long Short-Term Memory
5. Understanding the difficulty of training deep feedforward neural networks
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Going deeper with convolutions

Their papers

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