Rongjian Li

Computer Vision and Pattern Recognition · 2014–2015

A researcher in the Science corpus: 4 papers; trusts 48 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 42 citations into it; #18,284 of 21,575 by trust here, #5,236 by citations
• Artificial Intelligence — 26 citations into it
• Model Architectures — 7 citations into it

Whom Rongjian Li trusts overall

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

1. Yann LeCun
2. David G. Lowe
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Dan Claudiu Ciresan
6. Yoshua Bengio
7. L. Eon Bottou
8. Ilya Sutskever
9. Karen Simonyan
10. J. Urgen Schmidhuber

Who trusts Rongjian Li overall

1. Dinggang Shen
2. Dong Nie
3. Heung-Il Suk
4. Satoshi Iizuka
5. Hao Chen
6. Le Lu
7. Hongming Chen
8. Maciej A. Mazurowski
9. Agisilaos Chartsias
10. Manhua Liu

Papers from Rongjian Li's perspective

Ordered by how strongly the researchers Rongjian Li 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis (2014) — 470 citations
• Deep convolutional neural networks for annotating gene expression patterns in the mouse brain (2015) — 63 citations
• Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis (2015) — 185 citations
• Deep Convolutional Neural Networks for Multi-Modality Isointense Infant Brain Image Segmentation (2015) — 800 citations