Zijiang Yang

Computer Vision and Pattern Recognition · with Agrawal · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it
• Artificial Intelligence — 7 citations into it
• Model Architectures — 7 citations into it

Whom Zijiang Yang trusts overall

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

1. Xavier Glorot
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Alex Krizhevsky
5. Yann LeCun
6. Christian Szegedy
7. Matthew D. Zeiler
8. Sergey Ioffe
9. Vinod Nair
10. Kaiming He

Who trusts Zijiang Yang overall

1. Zhenze Yang
2. Mark S. Alber
3. Chi-Hua Yu

Papers from Zijiang Yang's perspective

Ordered by how strongly the researchers Zijiang Yang 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep learning approaches for mining structure-property linkages in high contrast composites from simulation datasets (2018) — 343 citations
• Establishing structure-property localization linkages for elastic deformation of three-dimensional high contrast composites using deep learning approaches (2019) — 170 citations