Shangyu Chen

Computer Vision and Pattern Recognition · with Pan · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 186 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it; #6,428 of 21,575 by trust here, #8,952 by citations
• Artificial Intelligence — 22 citations into it
• Efficiency & Compression — 16 citations into it; #345 of 1,264 by trust here, #697 by citations
• Model Architectures — 8 citations into it
• Optimization & Training — 6 citations into it; #1,001 of 2,601 by trust here, #1,216 by citations

Whom Shangyu Chen trusts overall

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

1. Alex Krizhevsky
2. Karen Simonyan
3. Diederik P. Kingma
4. Yann LeCun
5. Geoffrey E. Hinton
6. Yoshua Bengio
7. Andrew Zisserman
8. Kaiming He
9. Ilya Sutskever
10. Jimmy Ba

Who trusts Shangyu Chen overall

1. Alexandre D'efossez
2. Tri Dao
3. Jonathan Frankle
4. Sidak Pal Singh
5. Elias Frantar
6. Chaoqi Wang
7. Dan Alistarh
8. Yang He
9. Beidi Chen
10. Yossi Adi

Papers from Shangyu Chen's perspective

Ordered by how strongly the researchers Shangyu Chen 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
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. Going deeper with convolutions

Their papers

• Learning to Prune Deep Neural Networks via Layer-wise Optimal Brain Surgeon (2017) — 573 citations
• MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization (2019) — 53 citations