Yuan Zhuang

Artificial Intelligence · with Liu · 2020–2022

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 56 citations into it
• Information Systems — 33 citations into it
• Graph Learning — 20 citations into it
• Signal Processing — 19 citations into it

Whom Yuan Zhuang trusts overall

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

1. Thomas Kipf
2. Bo Jiang
3. Loi Luu
4. Max Welling
5. Sergei Tikhomirov
6. Ruoyu Li
7. Ivica Nikolic
8. Christopher K. I. Williams
9. Alessio Micheli
10. Ye Liu

Who trusts Yuan Zhuang overall

1. Zhenguang Liu

Papers from Yuan Zhuang's perspective

Ordered by how strongly the researchers Yuan Zhuang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
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. Learning Multiple Layers of Features from Tiny Images
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Genetic-GNN: Evolutionary architecture search for Graph Neural Networks (2022) — 66 citations
• Combining Graph Neural Networks With Expert Knowledge for Smart Contract Vulnerability Detection (2021) — 329 citations
• Smart Contract Vulnerability Detection using Graph Neural Network (2020) — 440 citations