Yi Chen
Computational Mechanics · with Nasrabadi · 2011
A researcher in the Science corpus: 2 papers; trusts 24 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 24 citations into it; #5,940 of 10,001 by trust here, #4,749 by citations
- Computer Vision and Pattern Recognition — 21 citations into it; #18,468 of 21,575 by trust here, #18,266 by citations
- Media Technology — 15 citations into it; #2,016 of 3,621 by trust here, #1,770 by citations
- Artificial Intelligence — 11 citations into it
- Atmospheric Science — 7 citations into it
- Signal Processing — 7 citations into it
- Analytical Chemistry — 6 citations into it
- Statistical Learning Theory — 5 citations into it
Whom Yi Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Joel A. Tropp
- Vladimir Naumovich Vapnik
- Christopher K. I. Williams
- Vladimir Naumovich Vapni
- Michael Elad
- Farid Melgani
- Gustau Camps-Valls
- Lorenzo Bruzzone
- Bernhard E. Boser
- Volker Roth
Who trusts Yi Chen overall
- Junwei Han
- Gong Cheng
- Gustau Camps-Valls
- Qichao Liu
- Yuxiang Zhang
- Nasser M. Nasrabadi
- Xiaofei Yang
- Peicheng Zhou
- Devis Tuia
- Bo Du
Papers from Yi Chen's perspective
Ordered by how strongly the researchers Yi Chen 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Hyperspectral image classification via kernel sparse representation (2011) — 474 citations
- Sparse Representation for Target Detection in Hyperspectral Imagery (2011) — 416 citations