Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs. - Tales Imbiriba; Gerald LaMountain; Peng Wu 019; Deniz Erdogmus; Pau Closas (CAMSAP, 2019)

Recursive Gaussian Processes and Fingerprinting for Indoor Navigation. - Tales Imbiriba; Peng Wu 019; Gerald LaMountain; Deniz Erdogmus; Pau Closas (PLANS, 2020)

Personalized Federated Learning over non-IID Data for Indoor Localization. - Peng Wu 019; Tales Imbiriba; Junha Park; Sunwoo Kim 001; Pau Closas (SPAWC, 2021)

Federated Learning for Indoor Localization via Model Reliability With Dropout. - Junha Park; Jiseon Moon; Taekyoon Kim; Peng Wu 019; Tales Imbiriba; Pau Closas; Sunwoo Kim 001 (IEEE Commun. Lett., 2022)

Jammer classification with Federated Learning. - Peng Wu 019; Helena Calatrava; Tales Imbiriba; Pau Closas (PLANS, 2023)

Deep Learning of GNSS Acquisition. - Parisa Borhani Darian; Haoqing Li 001; Peng Wu 019; Pau Closas (Sensors, 2023)

Deep Neural Network Correlators for GNSS Multipath Mitigation. - Haoqing Li 001; Parisa Borhani Darian; Peng Wu 019; Pau Closas (IEEE Trans. Aerosp. Electron. Syst., 2023)

Robust Interference Mitigation Techniques for Direct Position Estimation. - Haoqing Li 001; Shuo Tang; Peng Wu 019; Pau Closas (IEEE Trans. Aerosp. Electron. Syst., 2023)

A Bayesian Framework for Clustered Federated Learning. - Peng Wu 019; Tales Imbiriba; Pau Closas (CoRR, 2024)

Bayesian Data Fusion With Shared Priors. - Peng Wu 019; Tales Imbiriba; Víctor Elvira; Pau Closas (IEEE Trans. Signal Process., 2024)

Detecting GNSS spoofing using deep learning. - Parisa Borhani Darian; Haoqing Li 001; Peng Wu 019; Pau Closas (EURASIP J. Adv. Signal Process., 2024)

Jammer Source Localization with Federated Learning. - Mariona Jaramillo-Civill; Peng Wu 019; Andrea Nardin; Tales Imbiriba; Pau Closas (PLANS, 2025)