GAD-Autoformer: Gated Adaptive Decomposition for Long-Horizon Federal Incumbent Spectrum Prediction

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	American English
Title of host publication	2026 IEEE International Symposium on Spectrum Innovation (DySPAN)
Number of pages	8
DOIs	https://doi.org/10.1109/DySPAN69846.2026.11571143
State	Published - May 11 2026

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@inproceedings{f9a6c8315b184407be4c64c24352ec87,

title = "GAD-Autoformer: Gated Adaptive Decomposition for Long-Horizon Federal Incumbent Spectrum Prediction",

author = "Yanyu Hu and Imtiaz Nasim and Vivek Agarwal and Arupjyoti Bhuyan and Mingyue Ji",

year = "2026",

month = may,

day = "11",

doi = "10.1109/DySPAN69846.2026.11571143",

language = "American English",

booktitle = "2026 IEEE International Symposium on Spectrum Innovation (DySPAN)",

}

TY - GEN

T1 - GAD-Autoformer: Gated Adaptive Decomposition for Long-Horizon Federal Incumbent Spectrum Prediction

AU - Hu, Yanyu

AU - Nasim, Imtiaz

AU - Agarwal, Vivek

AU - Bhuyan, Arupjyoti

AU - Ji, Mingyue

PY - 2026/5/11

Y1 - 2026/5/11

U2 - 10.1109/DySPAN69846.2026.11571143

DO - 10.1109/DySPAN69846.2026.11571143

M3 - Conference contribution

BT - 2026 IEEE International Symposium on Spectrum Innovation (DySPAN)

ER -