Jun Huang

Jun Huang

Ph.D., Assistant Professor, EECS Department, South Dakota State University

Invited Talk

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Dr. Huang delivered an invited talk titled “When Machine Learning Meets Wireless Mobile Networks: Key Observations and Algorithm Design” at the SDSU Data Science Symposium 2025.

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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).

Paper Accepted

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A paper titled “Learning to Defend: A Multi-Agent Reinforcement Learning Framework for Stackelberg Security Game in Mobile Edge Computing” has been accepted by IEEE ICNC 2026.

Paper Accepted

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Our paper, “Enhancing Vehicular Platooning with Wireless Federated Learning: A Resource-Aware Control Framework,” has been accepted for publication in the most prestigious journal IEEE/ACM Transactions on Networking.

Paper Accepted

less than 1 minute read

Published:

Our paper, “A Dual-Level Game-Theoretic Approach for Collaborative Learning in UAV-Assisted Heterogeneous Vehicle Networks,” has been accepted for publication in the proceedings of the 44th IEEE International Performance Computing and Communications Conference (IPCCC 2025).