Yingxue Zhang

Artificial Intelligence · 2020

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

Subfields

• Artificial Intelligence — 18 citations into it
• Graph Learning — 8 citations into it

Whom Yingxue Zhang trusts overall

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

1. Geoffrey E. Hinton
2. Marco Gori
3. William L. Hamilton
4. Thomas Kipf
5. Max Welling
6. Oriol Vinyals
7. Rianne van den Berg
8. Steffen Rendle
9. Rex Ying

Who trusts Yingxue Zhang overall

1. Seoyoon Kim

Papers from Yingxue Zhang's perspective

Ordered by how strongly the researchers Yingxue 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. Distilling the Knowledge in a Neural Network (arXiv.org)
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet: A large-scale hierarchical image database
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems (2020) — 110 citations