Lijin Yang
Artificial Intelligence · 2021
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 8 citations into it
- Computer Vision and Pattern Recognition — 8 citations into it
Whom Lijin Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- João Carreira
- Andrew Zisserman
- Tsung-Yi Lin
- Evangelos Kazakos
- Ross B. Girshick
- Kaiming He
- Piotr Doll'ar
- Fei Wang
- Geoffrey E. Hinton
- Alex Krizhevsky
Papers from Lijin Yang's perspective
Ordered by how strongly the researchers Lijin Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)