Chenyang Yang
Electrical and Electronic Engineering · 2009–2021
A researcher in the Science corpus: 7 papers; trusts 18 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 153 citations into it; #15,267 of 16,539 by trust here, #6,224 by citations
- Computer Networks and Communications — 115 citations into it
- Reinforcement Learning — 15 citations into it
Whom Chenyang Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Giuseppe Durisi
- Richard S. Sutton
- Zhiqiang Liu
- Yasamin Mostofi
- Pramod Viswanath
- Michael Tüchler
- Anastasios Stamoulis
- Hyung G. Myung
- Marco Breiling
- Geoffrey Y. Li
Who trusts Chenyang Yang overall
Papers from Chenyang Yang's perspective
Ordered by how strongly the researchers Chenyang Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Human-level control through deep reinforcement learning
- ImageNet classification with deep convolutional neural networks
- Deep Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
- Gradient-based learning applied to document recognition
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Long Short-Term Memory
Their papers
- Energy-efficient wireless communications: tutorial, survey, and open issues (2011) — 743 citations
- Caching at the wireless edge: design aspects, challenges, and future directions (2016) — 434 citations
- A Survey of Energy-Efficient Techniques for 5G Networks and Challenges Ahead (2016) — 694 citations
- Radio Resource Management for Ultra-Reliable and Low-Latency Communications (2017) — 306 citations
- OFDM and Its Wireless Applications: A Survey (2009) — 1,116 citations
- A Tutorial on Ultrareliable and Low-Latency Communications in 6G: Integrating Domain Knowledge Into Deep Learning (2021) — 335 citations
- Deep Reinforcement Learning for Resource Management in Network Slicing (2018) — 324 citations