Yong Ge
Computer Vision and Pattern Recognition · with Liu · 2010–2015
A researcher in the Science corpus: 4 papers; trusts 26 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 26 citations into it
- Signal Processing — 24 citations into it; #3,965 of 7,572 by trust here, #1,669 by citations
- Artificial Intelligence — 22 citations into it; #22,683 of 35,345 by trust here, #15,542 by citations
- Information Systems — 11 citations into it; #7,044 of 8,771 by trust here, #4,518 by citations
- Economics and Econometrics — 6 citations into it
- Management Science and Operations Research — 5 citations into it
- Model Architectures — 5 citations into it
Whom Yong Ge trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yann LeCun
- Yoshua Bengio
- Geoffrey E. Hinton
- Eamonn J. Keogh
- Ilya Sutskever
- Gediminas Adomavicius
- Alex Krizhevsky
- L. Eon Bottou
- Ruslan Salakhutdinov
- Honglak Lee
Who trusts Yong Ge overall
Papers from Yong Ge's perspective
Ordered by how strongly the researchers Yong Ge trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Rectified Linear Units Improve Restricted Boltzmann Machines
- Going deeper with convolutions
Their papers
- User Preference Learning with Multiple Information Fusion for Restaurant Recommendation (2014) — 46 citations
- Exploiting multi-channels deep convolutional neural networks for multivariate time series classification (2015) — 267 citations
- Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks (2014) — 640 citations
- An energy-efficient mobile recommender system (2010) — 371 citations