Chuan Zhou

Artificial Intelligence · 2014–2021

A researcher in the Science corpus: 7 papers; trusts 290 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 288 citations into it
• Computer Vision and Pattern Recognition — 126 citations into it
• Statistical and Nonlinear Physics — 112 citations into it
• Graph Learning — 76 citations into it
• Representation & Self-Supervised Learning — 64 citations into it
• Molecular Biology — 56 citations into it
• Information Systems — 48 citations into it
• Computer Networks and Communications — 34 citations into it

Whom Chuan Zhou trusts overall

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

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

Papers from Chuan Zhou's perspective

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

Their papers

• Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning (2021) — 488 citations
• A Comprehensive Survey on Graph Anomaly Detection With Deep Learning (2021) — 830 citations
• Graph Self-Supervised Learning: A Survey (2021) — 758 citations
• A Comprehensive Survey on Community Detection With Deep Learning (2021) — 454 citations
• One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting (2020) — 81 citations
• GraphNAS: Graph Neural Architecture Search with Reinforcement Learning (2019) — 121 citations
• Combining Heterogenous Social and Geographical Information for Event Recommendation (2014) — 82 citations