Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being -
SDG 7 Affordable and Clean Energy -
SDG 8 Decent Work and Economic Growth -
SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities
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Dive into the research topics where Ruihan Hu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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A Low Migration and Low Energy Consumption Fog Computing Workflow Scheduling Framework for Multiple Constraints
Zhao, T., Duan, W., He, L. & Hu, R., 2026, Artificial Intelligence of Things and Systems - 3rd International Conference, AIoTSys 2025, Proceedings. Liu, S., Zheng, X., Ma, D. & Wu, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 238-254 17 p. (Communications in Computer and Information Science; vol. 2650 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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FD-MABCVO: A Decentralized, Reliable, Low-Latency Multi-base Station Value Chain Collaboration via Human-UAV Crowdsourcing with Bi-level Consensus Offloading
Zhao, J., Hu, R., Cao, Q., Cheng, X., Zhang, L. & Wang, Z., 2026, Service Science - 18th International Conference, ICSS 2025, Revised Selected Papers. Liu, X., Zhang, P. & Ma, Y. (eds.). Springer Science and Business Media Deutschland GmbH, p. 418-435 18 p. (Communications in Computer and Information Science; vol. 2626 CCIS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Device Selection and Resource Allocation With Semi-Supervised Method for Federated Edge Learning
Hu, R., Yuan, H., Tan, D. & Wang, Z., 2025, In: IEEE Transactions on Mobile Computing. 24, 4, p. 2740-2754 15 p.Research output: Contribution to journal › Article › peer-review
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HGN-MAAERL: Hetergeneous graph neighborhood-based multi-agent asynchronous edge reinforcement learning for efficient multiple unmanned vehicles collaboration
Huang, F., Hu, R., Cao, Q. & He, X., Nov 2025, In: Cluster Computing. 28, 12, 752.Research output: Contribution to journal › Article › peer-review
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Joint Optimization of Fine-grained Representation and Workflow Orchestration in Metaverse Articulated Manipulation Auto-generation by VLA Method
Hu, R., He, X., Huang, F., Zhao, J., Cheng, X. & Wang, Z., 2025, (Accepted/In press) In: IEEE Transactions on Services Computing.Research output: Contribution to journal › Article › peer-review