Ying Shan
Computer Vision and Pattern Recognition · with Hebert · 2006–2016
A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 22 citations into it; #14,424 of 21,575 by trust here, #10,334 by citations
- Artificial Intelligence — 16 citations into it
Whom Ying Shan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- David G. Lowe
- Dong Yu
- Ilya Sutskever
- Tomas Mikolov
- Yoshua Bengio
- Li Deng
- Alex Krizhevsky
- Yann LeCun
- Ronan Collobert
Who trusts Ying Shan overall
- Xiang Wang
- Xiangnan He
- Herv'e J'egou
- Wenhao Lu
- Shuai Zhang
- Le Wu
- Jianxun Lian
- Jun Xiao
- Weiping Song
- Guorui Zhou
Papers from Ying Shan's perspective
Ordered by how strongly the researchers Ying Shan trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Rapid object indexing using locality sensitive hashing and joint 3D-signature space estimation (2006) — 100 citations
- Deep Crossing: Web-Scale Modeling without Manually Crafted Combinatorial Features (2016) — 456 citations