Peng Wu

23 papers A* 1B 2Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Bayesian Framework for Clustered Federated Learning.
IEEE Trans. Pattern Anal. Mach. Intell.
Peng Wu, Tales Imbiriba, Pau Closas
2025 J jnl
DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering.
CoRR
Mariona Jaramillo-Civill, Peng Wu, Pau Closas
2025 — conf
Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments.
L4DC
Yuxi Wang, Peng Wu, Mahdi Imani
2025 J jnl
Human task performance and associated internal states in extended reality: a systematic review of cognitive, psychophysiological, and physiological dimensions.
Frontiers Virtual Real.
Nasim Ahmed, Peng Wu, Kaiming Huang, Sungchul Jung, Hansol Rheem, Gang Tan, Mahdi Imani, Rifatul Islam
2025 — conf
Jammer Source Localization with Federated Learning.
PLANS
Mariona Jaramillo-Civill, Peng Wu, Andrea Nardin, Tales Imbiriba, Pau Closas
2025 B conf
Personalized Bayesian Networks for Cybersickness Prediction in Virtual Reality.
MobiHoc
Peng Wu, Nasim Ahmed, Kaiming Huang, Rifatul Islam, Tian Lan, Gang Tan, Mahdi Imani
2025 A* conf
Probabilistic Verification of Cybersickness in Virtual Reality Through Bayesian Networks.
ISMAR
Peng Wu, Nasim Ahmed, Abhiram Sarma, Kaiming Huang, Rifatul Islam, Bin Li, Tian Lan, Gang Tan, Mahdi Imani
2025 — conf
Universal Adversarial Perturbations for Two-Stage Black-Box Object Detectors.
IEEECONF
Peng Wu, Amidu Kamara, Mohsen Imani, Nathaniel D. Bastian, Mahdi Imani
2025 B conf
Validating Safety Guarantees of LSTM Models in MR Context.
MobiHoc
Kaiming Huang, Peng Wu, Mahdi Imani, Tian Lan, Gang Tan
2024 J jnl
A Bayesian Framework for Clustered Federated Learning.
CoRR
Peng Wu, Tales Imbiriba, Pau Closas
2024 J jnl
Bayesian Data Fusion With Shared Priors.
IEEE Trans. Signal Process.
Peng Wu, Tales Imbiriba, Víctor Elvira, Pau Closas
2024 J jnl
Detecting GNSS spoofing using deep learning.
EURASIP J. Adv. Signal Process.
Parisa Borhani Darian, Haoqing Li, Peng Wu, Pau Closas
2023 J jnl
Deep Learning of GNSS Acquisition.
Sensors
Parisa Borhani Darian, Haoqing Li, Peng Wu, Pau Closas
2023 J jnl
Deep Neural Network Correlators for GNSS Multipath Mitigation.
IEEE Trans. Aerosp. Electron. Syst.
Haoqing Li, Parisa Borhani Darian, Peng Wu, Pau Closas
2023 — conf
Jammer classification with Federated Learning.
PLANS
Peng Wu, Helena Calatrava, Tales Imbiriba, Pau Closas
2023 J jnl
Jammer classification with Federated Learning.
CoRR
Peng Wu, Helena Calatrava, Tales Imbiriba, Pau Closas
2023 J jnl
Robust Interference Mitigation Techniques for Direct Position Estimation.
IEEE Trans. Aerosp. Electron. Syst.
Haoqing Li, Shuo Tang, Peng Wu, Pau Closas
2022 J jnl
Bayesian data fusion with shared priors.
CoRR
Peng Wu, Tales Imbiriba, Victor Elvira, Pau Closas
2022 J jnl
Federated Learning for Indoor Localization via Model Reliability With Dropout.
IEEE Commun. Lett.
Junha Park, Jiseon Moon, Taekyoon Kim, Peng Wu, Tales Imbiriba, Pau Closas, Sunwoo Kim
2021 — conf
Personalized Federated Learning over non-IID Data for Indoor Localization.
SPAWC
Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas
2021 J jnl
Personalized Federated Learning over non-IID Data for Indoor Localization.
CoRR
Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas
2020 — conf
Recursive Gaussian Processes and Fingerprinting for Indoor Navigation.
PLANS
Tales Imbiriba, Peng Wu, Gerald LaMountain, Deniz Erdogmus, Pau Closas
2019 — conf
Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs.
CAMSAP
Tales Imbiriba, Gerald LaMountain, Peng Wu, Deniz Erdogmus, Pau Closas