Yanlin Yue
2019
A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Yanlin Yue trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- He Li (in Computer Networks and Communications)
- Kaoru Ota (in Computer Networks and Communications)
- Mianxiong Dong (in Computer Networks and Communications)
Papers from Yanlin Yue's perspective
Ordered by how strongly the researchers Yanlin Yue trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing (IEEE Network)
- When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning
- On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control
- Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach (IEEE Communications Magazine)
- State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems
- The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective (IEEE wireless communications)
- DeepEar: robust smartphone audio sensing in unconstrained acoustic environments using deep learning (Ubiquitous Computing)
- Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
- A Survey on Mobile Edge Computing: The Communication Perspective
- Mobile Edge Computing: A Survey on Architecture and Computation Offloading
Their papers
- AI-Enhanced Offloading in Edge Computing: When Machine Learning Meets Industrial IoT (2019) — 162 citations