Yu Xue
Artificial Intelligence · Information Sciences · 2015–2019
A researcher in the Science corpus: 5 papers; trusts 53 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it
- Computer Vision and Pattern Recognition — 31 citations into it
- Computational Theory and Mathematics — 15 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
- Molecular Biology — 5 citations into it
Whom Yu Xue trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Weifeng Gao
- Bing Xue
- Bilal Alatas
- Dervis Karaboga
- A. K. Qin
- Guopu Zhu
- Changhe Li
- Anil K. Jain
- Yoshua Bengio
- Alex Krizhevsky
Who trusts Yu Xue overall
Papers from Yu Xue's perspective
Ordered by how strongly the researchers Yu Xue trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification (2019) — 301 citations
- A self-adaptive artificial bee colony algorithm based on global best for global optimization (2017) — 360 citations
- A hybrid feature selection algorithm for gene expression data classification (2017) — 330 citations
- Research on denoising sparse autoencoder (2016) — 61 citations
- A rapid learning algorithm for vehicle classification (2015) — 477 citations