Ruichen Jiang

Computational Mechanics · 2022

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computational Mechanics — 12 citations into it
• Artificial Intelligence — 11 citations into it
• Numerical Analysis — 10 citations into it
• Computational Theory and Mathematics — 9 citations into it
• Optimization & Training — 8 citations into it

Whom Ruichen Jiang trusts overall

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

1. Fabian Pedregosa
2. Martin Jaggi
3. Simon Lacoste-Julien
4. Justin Domke
5. Hong-Kun Xu
6. Isao Yamada
7. Antonin Chambolle
8. Michael Grant
9. Shoham Sabach
10. Dougal Maclaurin

Who trusts Ruichen Jiang overall

1. Liangzu Peng
2. Paris V. Giampouras

Papers from Ruichen Jiang's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A Conditional Gradient-based Method for Simple Bilevel Optimization with Convex Lower-level Problem (2022) — 40 citations