Yaqiu Jin

Computer Vision and Pattern Recognition · 2009–2019

A researcher in the Science corpus: 5 papers; trusts 48 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 21 citations into it
• AI for Physical Sciences — 8 citations into it
• Statistical and Nonlinear Physics — 7 citations into it
• Aerospace Engineering — 6 citations into it; #1,860 of 6,421 by trust here, #2,580 by citations
• Optimization & Training — 6 citations into it
• Environmental Engineering — 5 citations into it
• Numerical Methods & Scientific Computing — 5 citations into it

Whom Yaqiu Jin trusts overall

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

1. Yann LeCun
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ilya Sutskever
6. Radford M. Neal
7. L. Eon Bottou
8. Xavier Glorot
9. Maizar Raissi
10. Kaiming He

Who trusts Yaqiu Jin overall

1. Xiaoxiang Zhu
2. Siwei Yu
3. Zhimian Zhang
4. Mohammad Rostami

Papers from Yaqiu Jin's perspective

Ordered by how strongly the researchers Yaqiu Jin trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Going deeper with convolutions
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Dropout: a simple way to prevent neural networks from overfitting

Their papers

• Data-driven Discovery of Partial Differential Equations for Multiple-Physics Electromagnetic Problem (2019) — 17 citations
• Complex-Valued Convolutional Neural Network and Its Application in Polarimetric SAR Image Classification (2017) — 604 citations
• Polarimetric SAR Image Classification Using Deep Convolutional Neural Networks (2016) — 450 citations
• Target Classification Using the Deep Convolutional Networks for SAR Images (2016) — 1,187 citations
• Bidirectional Analytic Ray Tracing for Fast Computation of Composite Scattering From Electric-Large Target Over a Randomly Rough Surface (2009) — 149 citations