Meiqi Zhu

Artificial Intelligence · 2020

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 43 citations into it
• Computer Vision and Pattern Recognition — 25 citations into it
• Graph Learning — 21 citations into it
• Statistical and Nonlinear Physics — 16 citations into it
• Representation & Self-Supervised Learning — 14 citations into it
• Molecular Biology — 5 citations into it

Whom Meiqi Zhu trusts overall

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

1. Thomas Kipf
2. Geoffrey E. Hinton
3. Max Welling
4. Yoshua Bengio
5. Diederik P. Kingma
6. Yann LeCun
7. Arthur Gretton
8. Alex Krizhevsky
9. Kaiming He
10. Alex Smola

Papers from Meiqi Zhu's perspective

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

Their papers

• AM-GCN: Adaptive Multi-channel Graph Convolutional Networks (2020) — 616 citations
• Structural Deep Clustering Network (2020) — 684 citations