Xin Zhou

Artificial Intelligence · with Jiang · 2022

A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Information Systems — 23 citations into it
• Computer Vision and Pattern Recognition — 22 citations into it
• Representation & Self-Supervised Learning — 12 citations into it
• Optimization & Training — 6 citations into it
• Model Architectures — 5 citations into it

Whom Xin Zhou trusts overall

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

1. Diederik P. Kingma
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Ruining He
5. Jimmy Ba
6. Nils Reimers
7. Andrew Zisserman
8. Alex Krizhevsky
9. Kaiming He
10. Yoshua Bengio

Papers from Xin Zhou's perspective

Ordered by how strongly the researchers Xin 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Going deeper with convolutions

Their papers

• Bootstrap Latent Representations for Multi-modal Recommendation (2022) — 370 citations
• A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation (2022) — 299 citations