Zhongshi Jiang

Computational Mechanics · 2018

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

Subfields

• Computational Mechanics — 25 citations into it

Whom Zhongshi Jiang trusts overall

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

1. Davide Boscaini
2. Jonathan Masci

Papers from Zhongshi Jiang's perspective

Ordered by how strongly the researchers Zhongshi 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. Et al
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Attention is All you Need (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• ABC: A Big CAD Model Dataset for Geometric Deep Learning (2018) — 678 citations