Yufeng Zhan

Reinforcement Learning · 2020–2021

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

Subfields

• Reinforcement Learning — 9 citations into it

Whom Yufeng Zhan trusts overall

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

1. Richard S. Sutton
2. John Schulman
3. Vijay R. Konda
4. Volodymyr Mnih
5. John N. Tsitsiklis
6. Max Jaderberg
7. Geoffrey E. Hinton
8. Ziyun Wang
9. Sergey Levine
10. Andrew Barto

Who trusts Yufeng Zhan overall

1. Wei Yang Bryan Lim
2. Priyanka Mary Mammen

Papers from Yufeng Zhan's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Learning Multiple Layers of Features from Tiny Images
9. Reinforcement Learning: An Introduction
10. ImageNet: A large-scale hierarchical image database

Their papers

• A Survey of Incentive Mechanism Design for Federated Learning (2021) — 351 citations
• A Learning-Based Incentive Mechanism for Federated Learning (2020) — 534 citations