Qingzeng Song

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 6 citations into it; #31,390 of 35,345 by trust here, #28,481 by citations
• Computer Vision and Pattern Recognition — 6 citations into it
• Radiology, Nuclear Medicine and Imaging — 5 citations into it; #2,560 of 3,265 by trust here, #2,754 by citations

Whom Qingzeng Song trusts overall

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

1. Yann LeCun
2. Jinsa Kuruvilla
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Yangqing Jia
6. Wei Shen
7. Koray Kavukcuoglu
8. Ross B. Girshick
9. Ilya Sutskever
10. Kandasamy Gunavathi

Who trusts Qingzeng Song overall

1. A. Asuntha
2. Nafiseh Ghaffar Nia
3. Andy Srinivasan
4. Erkan Kaplanoglu

Papers from Qingzeng Song's perspective

Ordered by how strongly the researchers Qingzeng Song 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. Attention is All you Need (Neural Information Processing Systems)
5. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
6. Long Short-Term Memory
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images (2017) — 383 citations