News@Brookings Register
Published:
Our work on machine learning in UAV communications featured in The Brookings Register (Link)!
Jun Huang
Ph.D., Assistant Professor, EECS Department, South Dakota State University
- Daktronics Eng Hall 125
- Google Scholar
- ORCID
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Paper Accepted
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Our paper, “A Review of Continual Learning in Edge AI,” has been accepted for publication in IEEE Transactions on Network Science and Engineering.
Paper Accepted
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Our paper, “A Stochastic Geometry-Based Analysis of SWIPT-Assisted Underlaid Device-to-Device Energy Harvesting,” has been accepted for publication in ACM Applied Computing Review.
Paper Accepted
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Our paper, “Transformer-Based Dynamic Resource Allocation for Multi-Carrier NOMA Systems,” has been accepted for publication in IEEE Transactions on Cognitive Communications and Networking.
Best Paper Award
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Our paper, “A Dual-Level Game-Theoretic Approach for Collaborative Learning in UAV-Assisted Heterogeneous Vehicle Networks,” won the Best Paper Award (1/34/147) at the 44th IEEE International Performance Computing and Communications Conference (IPCCC 2025).