Yang Gao
Computer Science · Indiana University
Publications
15
Citations
78
Est. group size
—
Recurring co-author estimate
Active years
20
Publishing since 2006
Yang Gao works in computer science with a focus on the Internet of Things (IoT) and distributed computing at the network edge. Their research combines blockchain technology (a secure, decentralized way of recording transactions) with machine learning methods like deep reinforcement learning to manage tasks such as scheduling work, sharing resources, and improving energy efficiency in IoT systems.
Publication activity has been intermittent, with a cluster of output around 2020 and again in recent years, averaging just over one publication per year over the last five years.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Distributed Intelligent Scheduling for Multi-Level eMBB Services in IoT
2024
- B-ReST: Blockchain-Enabled Resource Sharing and Transactions in Fog Computing
IEEE Wireless Communications · 2021
- Deep Reinforcement Learning based Task Scheduling in Mobile Blockchain for IoT Applications
2020
- Deep Reinforcement Learning based Node Pairing Scheme in Edge-Chain for IoT Applications
2020
- Policy Gradient Method based Energy Efficience Task Scheduling in Mobile Edge Blockchain
2020
- Health Evaluation Method of Power Information System Based on DEA-CCR
2020
- Research on China's power industry investment in Kazakhstan
2016
- IEEE Wireless Communications×1
- PLOS Digital Health×1
- Digital Threats Research and Practice×1
- Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences×1
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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