Yijin Guan

Computer Vision and Pattern Recognition · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 24 citations into it
• Artificial Intelligence — 12 citations into it; #22,791 of 35,345 by trust here, #8,365 by citations

Whom Yijin Guan trusts overall

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

1. Karen Simonyan
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Alex Krizhevsky
5. Wojciech Zaremba
6. Jia Deng
7. Andrew Zisserman
8. Kaiming He
9. Mitchell P. Marcus
10. Yoshua Bengio

Who trusts Yijin Guan overall

1. Ahmad Shawahna
2. Yun Liang
3. Sparsh Mittal
4. Xiaofan Zhang
5. Sadiq M. Sait
6. Yongming Shen
7. Liqiang Lu

Papers from Yijin Guan's perspective

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

Their papers

• Optimizing FPGA-based Accelerator Design for Deep Convolutional Neural Networks (2015) — 2,074 citations
• FP-DNN: An Automated Framework for Mapping Deep Neural Networks onto FPGAs with RTL-HLS Hybrid Templates (2017) — 299 citations