Xueqiang Yan
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 69 citations into it
- Computer Vision and Pattern Recognition — 47 citations into it
- Efficiency & Compression — 20 citations into it
- Reinforcement Learning — 10 citations into it
- Model Architectures — 6 citations into it
Whom Xueqiang Yan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Xueqiang Yan's perspective
Ordered by how strongly the researchers Xueqiang Yan 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
- Long Short-Term Memory
- Going deeper with convolutions
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Convergence of Edge Computing and Deep Learning: A Comprehensive Survey (2019) — 1,229 citations