Xujiang Zhao

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 61 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 55 citations into it
• Computer Vision and Pattern Recognition — 40 citations into it
• Representation & Self-Supervised Learning — 26 citations into it
• Optimization & Training — 13 citations into it
• Management Science and Operations Research — 6 citations into it

Whom Xujiang Zhao trusts overall

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

1. Alex Krizhevsky
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Yann LeCun
5. Baharan Mirzasoleiman
6. Kaiming He
7. Yoshua Bengio
8. Jimmy Ba
9. Ilya Sutskever
10. Ross B. Girshick

Papers from Xujiang Zhao's perspective

Ordered by how strongly the researchers Xujiang Zhao 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. Gradient-based learning applied to document recognition
5. Learning Multiple Layers of Features from Tiny Images
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. ImageNet: A large-scale hierarchical image database
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Going deeper with convolutions

Their papers

• RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning (2021) — 112 citations
• CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining (2021) — 21 citations