Xitong Gao
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 3 papers; trusts 256 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 81 citations into it
- Artificial Intelligence — 78 citations into it
- Efficiency & Compression — 46 citations into it
- Model Architectures — 27 citations into it
- Optimization & Training — 13 citations into it
- Molecular Biology — 6 citations into it
Whom Xitong Gao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Yann LeCun
- Diederik P. Kingma
- Shaoqing Ren
- Yoshua Bengio
- X. Zhang
- Ross B. Girshick
Who trusts Xitong Gao overall
- Weizhe Hua
- Yang He
- Ali Ehteshami Bejnordi
- Changlin Li
- Chuanjian Liu
- Jinting Chen
- Ahmed Imteaj
- Babak Ehteshami Bejnordi
- Zhihang Yuan
- Kafeng Wang
Papers from Xitong Gao's perspective
Ordered by how strongly the researchers Xitong Gao 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Dynamic Channel Pruning: Feature Boosting and Suppression (2018) — 348 citations
- Probabilistic Dual Network Architecture Search on Graphs (2020) — 27 citations
- Pay Attention to Features, Transfer Learn Faster CNNs (2020) — 83 citations