Yu Zheng

Artificial Intelligence · Trans. Recomm. Syst. · 2021

A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 136 citations into it
• Information Systems — 103 citations into it
• Computer Vision and Pattern Recognition — 49 citations into it
• Recommender Systems — 31 citations into it
• Graph Learning — 23 citations into it
• Marketing — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Yu Zheng trusts overall

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

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Xiangnan He
4. Diederik P. Kingma
5. Yehuda Koren
6. Alex Krizhevsky
7. Yann LeCun
8. Thorsten Joachims
9. Steffen Rendle
10. Ilya Sutskever

Who trusts Yu Zheng overall

1. Keqin Bao
2. Tianxin Wei
3. Fuli Feng

Papers from Yu Zheng's perspective

Ordered by how strongly the researchers Yu Zheng 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. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Sequential Recommendation with Graph Neural Networks (2021) — 482 citations
• A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions (2021) — 789 citations
• Disentangling User Interest and Conformity for Recommendation with Causal Embedding (2021) — 413 citations