Nan Zhao
Aerospace Engineering · IEEE Communications Surveys and Tutorials · 2017–2022
A researcher in the Science corpus: 6 papers; trusts 25 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Aerospace Engineering — 56 citations into it; #5,938 of 6,421 by trust here, #2,734 by citations
- Electrical and Electronic Engineering — 40 citations into it; #5,673 of 16,539 by trust here, #8,802 by citations
- Computer Networks and Communications — 39 citations into it; #3,985 of 9,886 by trust here, #1,790 by citations
- Reinforcement Learning — 11 citations into it
- Artificial Intelligence — 10 citations into it
Whom Nan Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yong Zeng
- Rui Zhang
- Qingqing Wu
- David W. Matolak
- Mohammad Mozaffari
- Akram Al-Hourani
- Volodymyr Mnih
- Marc Peter Deisenroth
- Mohamed Alzenad
- David Silver
Who trusts Nan Zhao overall
- Jun Zhang
- Le Liang
- Xiaofei Wang
- Hao Ye
- Fengxiao Tang
- Fatima Hussain
- Lei Liu
- Nguyen Cong Luong
- Yaohua Sun
- JingJing Wang
Papers from Nan Zhao's perspective
Ordered by how strongly the researchers Nan Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Human-level control through deep reinforcement learning
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Continuous control with deep reinforcement learning (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Playing Atari with Deep Reinforcement Learning (arXiv.org)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach (2018) — 487 citations
- UAV Trajectory Optimization for Data Offloading at the Edge of Multiple Cells (2018) — 308 citations
- IRS-Assisted Secure UAV Transmission via Joint Trajectory and Beamforming Design (2022) — 305 citations
- UAV-Assisted Emergency Networks in Disasters (2019) — 662 citations
- A Survey of Channel Modeling for UAV Communications (2018) — 799 citations
- Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach (2017) — 299 citations