Muhan Zhang

Artificial Intelligence · with Duncan · 2020–2022

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 37 citations into it
• Graph Learning — 23 citations into it
• Cognitive Neuroscience — 20 citations into it
• Statistical and Nonlinear Physics — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it
• Materials Chemistry — 7 citations into it

Whom Muhan Zhang trusts overall

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

1. Johannes Klicpera
2. Andreas Loukas
3. Zhengdao Chen
4. Michaël Defferrard
5. Zhilin Yang
6. Benedek Rozemberczki
7. Keyulu Xu
8. Stephan Günnemann
9. Geoffrey E. Hinton
10. Oleksandr Shchur

Who trusts Muhan Zhang overall

1. Oleg Platonov

Papers from Muhan Zhang's perspective

Ordered by how strongly the researchers Muhan 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. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. ImageNet: A large-scale hierarchical image database
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• How Powerful are Spectral Graph Neural Networks (2022) — 331 citations
• BrainGNN: Interpretable Brain Graph Neural Network for fMRI Analysis (2020) — 802 citations