Zaixin Zhang

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 24 citations into it
• Graph Learning — 14 citations into it
• Representation & Self-Supervised Learning — 9 citations into it
• Computer Vision and Pattern Recognition — 6 citations into it

Whom Zaixin Zhang trusts overall

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

1. Martin Jaggi
2. William L. Hamilton
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Ozan Sener
6. Diederik P. Kingma
7. Alex Krizhevsky
8. Kaiming He
9. Jure Leskovec
10. Wengong Jin

Papers from Zaixin Zhang's perspective

Ordered by how strongly the researchers Zaixin Zhang 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. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Motif-based Graph Self-Supervised Learning for Molecular Property Prediction (2021) — 370 citations