Jingxiang Yang
Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 2 papers; trusts 113 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 41 citations into it
- Media Technology — 39 citations into it; #1,750 of 3,621 by trust here, #2,389 by citations
- Artificial Intelligence — 24 citations into it
- Atmospheric Science — 24 citations into it; #1,933 of 4,804 by trust here, #3,319 by citations
- Representation & Self-Supervised Learning — 8 citations into it
- Ecology — 6 citations into it
Whom Jingxiang Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- L. Eon Bottou
- Wenzhi Zhao
- Geoffrey E. Hinton
- Chih-Jen Lin
- Yushi Chen
- Alex Krizhevsky
- Yann LeCun
- Yoshua Bengio
- L. V. D. van der Maaten
- Diederik P. Kingma
Who trusts Jingxiang Yang overall
- Renlong Hang
- Guangrui Zhao
- Qichao Liu
- Hao Sun
- Shutao Li
- Behnood Rasti
- Danfeng Hong
- Qiqi Zhu
- Pedram Ghamisi
- Yuhui Zheng
Papers from Jingxiang Yang's perspective
Ordered by how strongly the researchers Jingxiang Yang 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge