Zhaohui Yang
Electrical and Electronic Engineering · IEEE Journal on Selected Topics in Signal Processing · 2019–2022
A researcher in the Science corpus: 6 papers; trusts 41 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 140 citations into it; #5,889 of 16,539 by trust here, #5,009 by citations
- Artificial Intelligence — 135 citations into it; #21,563 of 35,345 by trust here, #10,319 by citations
- Computer Networks and Communications — 89 citations into it; #8,319 of 9,886 by trust here, #2,300 by citations
- Aerospace Engineering — 55 citations into it; #5,484 of 6,421 by trust here, #5,172 by citations
- Federated & Distributed Learning — 39 citations into it
- Computer Vision and Pattern Recognition — 24 citations into it
- Optimization & Training — 24 citations into it
- ML Systems & Hardware — 20 citations into it
Whom Zhaohui Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mingzhe Chen
- Walid Saad
- Guangxu Zhu
- Yong Zeng
- H. Brendan McMahan
- Rui Zhang
- Medhi Bennis
- Jakub Konecný
- Zeyuan Allen-Zhu
- Yann LeCun
Who trusts Zhaohui Yang overall
- Mingzhe Chen
- Yuanming Shi
- Hai-xia Peng
- Dinh C. Nguyen
- Khaled Ben Letaief
- Xuemin Shen
- Walid Saad
- Wei Yang Bryan Lim
- Umair Mohammad
- Ming Ding
Papers from Zhaohui Yang's perspective
Ordered by how strongly the researchers Zhaohui Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks (2019) — 1,442 citations
- Energy Efficient Federated Learning Over Wireless Communication Networks (2019) — 823 citations
- Federated Learning for 6G: Applications, Challenges, and Opportunities (2021) — 344 citations
- Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks (2019) — 324 citations
- Edge Learning for B5G Networks With Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing (2022) — 637 citations
- Multi-Hop RIS-Empowered Terahertz Communications: A DRL-Based Hybrid Beamforming Design (2021) — 401 citations