Jiawei Shao

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 23 citations into it
• Artificial Intelligence — 22 citations into it
• Efficiency & Compression — 8 citations into it
• Electrical and Electronic Engineering — 7 citations into it
• Model Architectures — 6 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Jiawei Shao trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Kaiming He
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. Yann LeCun
7. X. Zhang
8. Naftali Tishby
9. Han Cai
10. Dmitry Molchanov

Who trusts Jiawei Shao overall

1. Khaled Ben Letaief
2. Wei Xu
3. Yuanming Shi
4. Zhaohui Yang

Papers from Jiawei Shao's perspective

Ordered by how strongly the researchers Jiawei Shao 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. Learning Multiple Layers of Features from Tiny Images
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

• Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach (2021) — 359 citations