1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.SP2025
Quantum Deep Learning for Massive MIMO User Scheduling
Xingyu Huang, Ruining Fan, Mouli Chakraborty +2
We introduce a hybrid Quantum Neural Networks (QNN) architecture for the efficient user scheduling in 5G/Beyond 5G (B5G) massive Multiple Input Multiple Output (MIMO) systems, addr…
cs.LG2023★ 1 cited
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting
Yuxiao Luo, Ziyu Lyu, Xingyu Huang
Long-term time series forecasting is a vital task and has a wide range of real applications. Recent methods focus on capturing the underlying patterns from one single domain (e.g.…