Sheng Zhou
Computer Networks and Communications · 2017–2020
A researcher in the Science corpus: 3 papers; trusts 9 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Networks and Communications — 28 citations into it; #4,696 of 9,886 by trust here, #4,950 by citations
- Artificial Intelligence — 26 citations into it
- Electrical and Electronic Engineering — 25 citations into it; #7,708 of 16,539 by trust here, #11,977 by citations
Whom Sheng Zhou trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yuyi Mao
- Peter Auer
- Yann LeCun
- Walid Saad
- Jihong Park
- Guangxu Zhu
- Nicolò Cesa-Bianchi
- Mingzhe Chen
- Juan Liu
- Medhi Bennis
Who trusts Sheng Zhou overall
Papers from Sheng Zhou's perspective
Ordered by how strongly the researchers Sheng Zhou trusts endorse each paper. Same corpus, a different order for every researcher.
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Communication-Efficient Learning of Deep Networks from Decentralized Data
Their papers
- EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks (2017) — 374 citations
- Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning (2020) — 357 citations
- Adaptive Learning-Based Task Offloading for Vehicular Edge Computing Systems (2019) — 325 citations