Peng Wu

According to our database, Peng Wu authored at least 19 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Bayesian Framework for Clustered Federated Learning.

Peng Wu, Tales Imbiriba, Pau Closas

IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

2025

DPMM-CFL: Clustered Federated Learning via Dirichlet Process Mixture Model Nonparametric Clustering.

Mariona Jaramillo-Civill, Peng Wu, Pau Closas

CoRR, October, 2025

Human task performance and associated internal states in extended reality: a systematic review of cognitive, psychophysiological, and physiological dimensions.

Nasim Ahmed, Peng Wu, Kaiming Huang, Sungchul Jung, Hansol Rheem, Gang Tan, Mahdi Imani, Rifatul Islam

Frontiers Virtual Real., 2025

Jammer Source Localization with Federated Learning.

Mariona Jaramillo-Civill, Peng Wu, Andrea Nardin, Tales Imbiriba, Pau Closas

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2025

Personalized Bayesian Networks for Cybersickness Prediction in Virtual Reality.

Peng Wu, Nasim Ahmed, Kaiming Huang, Rifatul Islam, Tian Lan, Gang Tan, Mahdi Imani

Proceedings of the Twenty-sixth International Symposium on Theory, 2025

Validating Safety Guarantees of LSTM Models in MR Context.

Kaiming Huang, Peng Wu, Mahdi Imani, Tian Lan, Gang Tan

Proceedings of the Twenty-sixth International Symposium on Theory, 2025

Federated Posterior Sharing for Multi-Agent Systems in Uncertain Environments.

Yuxi Wang, Peng Wu, Mahdi Imani

Proceedings of the 7th Annual Learning for Dynamics & Control Conference, 2025

Probabilistic Verification of Cybersickness in Virtual Reality Through Bayesian Networks.

Peng Wu, Nasim Ahmed, Abhiram Sarma, Kaiming Huang, Rifatul Islam, Bin Li, Tian Lan, Gang Tan, Mahdi Imani

Proceedings of the International Symposium on Mixed and Augmented Reality, 2025

Universal Adversarial Perturbations for Two-Stage Black-Box Object Detectors.

Peng Wu, Amidu Kamara, Mohsen Imani, Nathaniel D. Bastian, Mahdi Imani

Proceedings of the 59th Asilomar Conference on Signals, 2025

2024

Detecting GNSS spoofing using deep learning.

Parisa Borhani Darian, Haoqing Li, Peng Wu, Pau Closas

EURASIP J. Adv. Signal Process., December, 2024

Bayesian Data Fusion With Shared Priors.

Peng Wu, Tales Imbiriba, Víctor Elvira, Pau Closas

IEEE Trans. Signal Process., 2024

2023

Robust Interference Mitigation Techniques for Direct Position Estimation.

Haoqing Li, Shuo Tang, Peng Wu, Pau Closas

IEEE Trans. Aerosp. Electron. Syst., December, 2023

Deep Neural Network Correlators for GNSS Multipath Mitigation.

Haoqing Li, Parisa Borhani Darian, Peng Wu, Pau Closas

IEEE Trans. Aerosp. Electron. Syst., April, 2023

Deep Learning of GNSS Acquisition.

Parisa Borhani Darian, Haoqing Li, Peng Wu, Pau Closas

Sensors, February, 2023

Jammer classification with Federated Learning.

Peng Wu, Helena Calatrava, Tales Imbiriba, Pau Closas

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2023

2022

Federated Learning for Indoor Localization via Model Reliability With Dropout.

Junha Park, Jiseon Moon, Taekyoon Kim, Peng Wu, Tales Imbiriba, Pau Closas, Sunwoo Kim

IEEE Commun. Lett., 2022

2021

Personalized Federated Learning over non-IID Data for Indoor Localization.

Peng Wu, Tales Imbiriba, Junha Park, Sunwoo Kim, Pau Closas

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

2020

Recursive Gaussian Processes and Fingerprinting for Indoor Navigation.

Tales Imbiriba, Peng Wu, Gerald LaMountain, Deniz Erdogmus, Pau Closas

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

2019

Change Detection and Gaussian Process Inference in Piecewise Stationary Environments Under Noisy Inputs.

Tales Imbiriba, Gerald LaMountain, Peng Wu, Deniz Erdogmus, Pau Closas

Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019