Jun Xia
Artificial Intelligence · with Yang · 2020–2021
A researcher in the Science corpus: 2 papers; trusts 195 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 83 citations into it
- Computer Vision and Pattern Recognition — 41 citations into it
- Radiology, Nuclear Medicine and Imaging — 37 citations into it
- Safety, Robustness & Interpretability — 23 citations into it
- Health Information Management — 11 citations into it
- Biophysics — 9 citations into it
- Natural Language Processing — 7 citations into it
- Model Architectures — 6 citations into it
Whom Jun Xia trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Kaiming He
- Alex Krizhevsky
- Karen Simonyan
- Yann LeCun
- Matthew D. Zeiler
- Ilya Sutskever
- Jimmy Ba
Papers from Jun Xia's perspective
Ordered by how strongly the researchers Jun Xia 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
- 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 Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images