Bin Hu
Artificial Intelligence · IEEE Internet of Things Journal · 2018–2021
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 5 citations into it
Whom Bin Hu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Chih-Jen Lin (in Artificial Intelligence)
Papers from Bin Hu's perspective
Ordered by how strongly the researchers Bin Hu trusts endorse each paper. Same corpus, a different order for every researcher.
- Energy Efficiency of Mobile Clients in Cloud Computing
- Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing (IEEE/ACM Transactions on Networking)
- Energy-Optimal Mobile Cloud Computing under Stochastic Wireless Channel (IEEE Transactions on Wireless Communications)
- Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing (IEEE Transactions on Signal and Information Processing over Networks)
- LIBSVM: A library for support vector machines
- Mobile Edge Computing: A Survey on Architecture and Computation Offloading
- Software-Defined Networks with Mobile Edge Computing and Caching for Smart Cities: A Big Data Deep Reinforcement Learning Approach (IEEE Communications Magazine)
- Dynamic Computation Offloading for Mobile-Edge Computing With Energy Harvesting Devices (IEEE Journal on Selected Areas in Communications)
- A Review on Distributed Application Processing Frameworks in Smart Mobile Devices for Mobile Cloud Computing (IEEE Communications Surveys and Tutorials)
- Optimization of Radio and Computational Resources for Energy Efficiency in Latency-Constrained Application Offloading (IEEE Transactions on Vehicular Technology)
Their papers
- Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge Computing Networks (2018) — 476 citations
- Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution (2021) — 315 citations
- A multi-modal open dataset for mental-disorder analysis (2020) — 319 citations