Jun Xia

Artificial Intelligence · with Chen · 2022

A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 29 citations into it
• Representation & Self-Supervised Learning — 13 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it
• Graph Learning — 12 citations into it

Whom Jun Xia trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. David A. McAllester
2. Geoffrey E. Hinton
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Diederik P. Kingma
7. Kihyuk Sohn
8. Max Welling
9. Yann LeCun
10. Nino Shervashidze

Who trusts Jun Xia overall

1. Xuheng Cai
2. Chao Huang

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.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation (2022) — 452 citations