Dongqiangzi Ye

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 1 paper; trusts 158 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 40 citations into it; #7,698 of 21,575 by trust here, #7,584 by citations
• Artificial Intelligence — 35 citations into it; #11,412 of 35,345 by trust here, #10,798 by citations
• Efficiency & Compression — 26 citations into it; #430 of 1,264 by trust here, #597 by citations
• Model Architectures — 13 citations into it

Whom Dongqiangzi Ye trusts overall

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

1. Alex Krizhevsky
2. Yoshua Bengio
3. Kaiming He
4. Geoffrey E. Hinton
5. Karen Simonyan
6. Ilya Sutskever
7. Andrew Zisserman
8. Yann LeCun
9. Ross B. Girshick
10. Christian Szegedy

Who trusts Dongqiangzi Ye overall

1. Zhen Dong
2. Zi-Mei Yao
3. Zechun Liu
4. A. Gholami
5. Ruihao Gong
6. Haotong Qin
7. Jungwook Choi
8. Sehoon Kim
9. Yuhang Li

Papers from Dongqiangzi Ye's perspective

Ordered by how strongly the researchers Dongqiangzi Ye 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. Going deeper with convolutions
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. Learning Multiple Layers of Features from Tiny Images
9. Long Short-Term Memory
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks (2018) — 770 citations