Zihui Xue

Artificial Intelligence · 2021

A researcher in the Science corpus: 2 papers; trusts 128 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 59 citations into it
• Computer Vision and Pattern Recognition — 56 citations into it
• Representation & Self-Supervised Learning — 30 citations into it
• Optimization & Training — 11 citations into it

Whom Zihui Xue trusts overall

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

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ross B. Girshick
7. Sergey Ioffe
8. Yann LeCun
9. Christian Szegedy
10. Ilya Sutskever

Papers from Zihui Xue's perspective

Ordered by how strongly the researchers Zihui Xue 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. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Learning Multiple Layers of Features from Tiny Images
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• On Feature Decorrelation in Self-Supervised Learning (2021) — 244 citations
• What Makes Multimodal Learning Better than Single (Provably) (2021) — 383 citations