Feiyun Zhu

Reinforcement Learning · 2017–2018

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Reinforcement Learning — 8 citations into it

Whom Feiyun Zhu trusts overall

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

1. Susan A. Murphy
2. Richard S. Sutton
3. Ambuj Tewari
4. Michail G. Lagoudakis
5. Lihong Li
6. Andrew Barto
7. Ivo Grondman
8. Hancong Liu
9. Ronald E. Parr
10. Baqun Zhang

Who trusts Feiyun Zhu overall

1. Chao Yu
2. Erico Tjoa
3. Jiming Liu
4. Md. Zahangir Alom
5. Shamim Nemati
6. Cuntai Guan
7. Jun Guo

Papers from Feiyun Zhu's perspective

Ordered by how strongly the researchers Feiyun Zhu 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. Reinforcement Learning: An Introduction
4. Gradient-based learning applied to document recognition
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Adaptive Graph Convolutional Neural Networks (2018) — 867 citations
• Robust Actor-Critic Contextual Bandit for Mobile Health (mHealth) Interventions (2018) — 20 citations
• Group-driven Reinforcement Learning for Personalized mHealth Intervention (2017) — 20 citations