Zhouyou Gu

Computer Networks and Communications · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 35 citations into it
• Reinforcement Learning — 12 citations into it

Whom Zhouyou Gu trusts overall

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

1. Richard S. Sutton
2. Andrea J. Goldsmith
3. Mark Eisen
4. Mor Harchol-Balter
5. Andrew Y. Ng
6. Geoffrey E. Hinton
7. Ronan Collobert

Papers from Zhouyou Gu's perspective

Ordered by how strongly the researchers Zhouyou Gu 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Reinforcement Learning: An Introduction
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Human-level control through deep reinforcement learning
8. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
9. Deep Learning
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning (2021) — 335 citations