Zi-Chao Gao

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Information Systems — 9 citations into it
• Statistical and Nonlinear Physics — 9 citations into it
• Graph Learning — 8 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it

Whom Zi-Chao Gao trusts overall

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

1. Thomas Kipf
2. Jure Leskovec
3. Julian McAuley
4. Zhiwei Liu
5. Shebuti Rayana

Papers from Zi-Chao Gao's perspective

Ordered by how strongly the researchers Zi-Chao Gao trusts endorse each paper. Same corpus, a different order for every researcher.

1. Semi-Supervised Classification with Graph Convolutional Networks (International Conference on Learning Representations)
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. ImageNet classification with deep convolutional neural networks
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
8. Long Short-Term Memory
9. Inductive Representation Learning on Large Graphs (Neural Information Processing Systems)
10. LIBSVM: A library for support vector machines

Their papers

• Rethinking Graph Neural Networks for Anomaly Detection (2022) — 404 citations