3 papers
eess.SP2026
PACC: Propagation-Aware Channel Charting with Physics-Guided Metric Learning
Binpu Shi, Ruihan Li, Min Li
Channel charting has emerged as a promising paradigm that maps high-dimensional channel state information into a low-dimensional latent space, facilitating tasks such as radio envi…
cs.LG2025
Optimizing In-Context Learning for Efficient Full Conformal Prediction
Weicao Deng, Sangwoo Park, Min Li +1
Reliable uncertainty quantification is critical for trustworthy AI. Conformal Prediction (CP) provides prediction sets with distribution-free coverage guarantees, but its two main…
cs.IT2025
SCAN-BEST: Sub-6GHz-Aided Near-field Beam Selection with Formal Reliability Guarantees
Weicao Deng, Binpu Shi, Min Li +1
As millimeter-wave (mmWave) MIMO systems adopt larger antenna arrays, near-field propagation becomes increasingly prominent, especially for users close to the transmitter. Traditio…