Zhisheng Niu
Artificial Intelligence · 2009–2020
A researcher in the Science corpus: 4 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 24 citations into it
- Electrical and Electronic Engineering — 24 citations into it
Whom Zhisheng Niu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Zhisheng Niu's perspective
Ordered by how strongly the researchers Zhisheng Niu 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
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Federated Learning via Over-the-Air Computation
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks
- A Survey on Mobile Edge Computing: The Communication Perspective
Their papers
- Power consumption in telecommunication networks: overview and reduction strategies (2011) — 706 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
- Wireless Access in Vehicular Environments (2009) — 355 citations