Faculty Spotlight
Published:
https://www.sdstate.edu/news/2026/08/huang-uses-machine-unlearning-make-ai-trustworthy
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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Two papers, “Forget to Improve: On-Device LLM-Agent Continual Learning via Budget-Curated Memory” and “FedSceneX: Time-to-Target Orchestration for Same-Scene Multimodal Federated Edge Learning,” have been accepted for publication in the proceedings of the 45th IEEE International Performance Computing and Communications Conference (IPCCC 2026) (AR: 23.9%).
Paper Accepted
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Our paper, “Exposing and Resolving Spurious Isolation in Federated Multimodal Continual Learning,” has been accepted for publication in IEEE Transactions on Multimedia.
Paper Accepted
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Our paper, “RELIEF: Turning Missing Modalities into Training Acceleration for Federated Learning on Heterogeneous IoT Edge,” has been accepted for publication in IEEE Internet of Things Journal.
Paper Accepted
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Our paper, “BR-FiLM: Bounded Residual Channel-Quality Conditioning for Automatic Modulation Recognition,” has been accepted for publication in the Proceedings of IEEE MILCOM 2026.