Xiangyu Yang

Computational Mechanics · 2021

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 9 citations into it
• Optimization & Training — 5 citations into it

Whom Xiangyu Yang trusts overall

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

1. Martin Jaggi
2. Laurent Condat
3. Rick Chartrand
4. Thomas Blumensath
5. Prateek Jain
6. Thomas Kerdreux
7. Yurii E. Nesterov
8. Fabian Pedregosa
9. Michel Journée
10. Zongben Xu

Papers from Xiangyu Yang's perspective

Ordered by how strongly the researchers Xiangyu Yang 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. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Minimization Over the Nonconvex Sparsity Constraint Using A Hybrid First-order method (2021)