Yihong Eric Zhao

Graph Learning · 2008–2019

A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Graph Learning — 10 citations into it
• Reinforcement Learning — 8 citations into it

Whom Yihong Eric Zhao trusts overall

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

1. Geoffrey E. Hinton
2. Richard S. Sutton
3. Ruslan Salakhutdinov

Papers from Yihong Eric Zhao's perspective

Ordered by how strongly the researchers Yihong Eric Zhao trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Dropout: a simple way to prevent neural networks from overfitting
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Reinforcement Learning: An Introduction
9. Playing Atari with Deep Reinforcement Learning (arXiv.org)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Deep Reinforcement Learning for List-wise Recommendations (2017) — 195 citations
• Graph Neural Networks for Social Recommendation (2019) — 2,365 citations
• Analyzing patterns of user content generation in online social networks (2009) — 225 citations
• Tag-based social interest discovery (2008) — 395 citations