Peng Wu

Peng Wu

A sci-fi fan, a researcher.

Paper Title Number 1

Published in Journal 1, 2009

  • Wu, Peng, Imbiriba, Tales, LaMountain, Gerald, Vilá-Valls, Jordi, and Closas, Pau. (2019). Wifi fingerprinting and tracking using neural networks. Proceedings of the 32nd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2019), 2314–2324.

  • Imbiriba, Tales, Wu, Peng, LaMountain, Gerald, Erdoğmuş, Deniz, and Closas, Pau. (2020). Recursive Gaussian processes and fingerprinting for indoor navigation. 2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 933–940. IEEE.

  • Borhani-Darian, Parisa, Li, Haoqing, Wu, Peng, and Closas, Pau. (2020). Deep neural network approach to detect GNSS spoofing attacks. Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020), 3241–3252.

  • Imbiriba, Tales, LaMountain, Gerald, Wu, Peng, Erdoğmuş, Deniz, and Closas, Pau. (2019). Change detection and Gaussian process inference in piecewise stationary environments under noisy inputs. 2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 530–534. IEEE.

  • Li, Haoqing, Borhani-Darian, Parisa, Wu, Peng, and Closas, Pau. (2020). Deep learning of GNSS signal correlation. Proceedings of the 33rd International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2020), 2836–2847.

  • Wu, Peng, Imbiriba, Tales, Park, Junha, Kim, Sunwoo, and Closas, Pau. (2021). Personalized federated learning over non-iid data for indoor localization. 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 421–425. IEEE.

  • Park, Junha, Moon, Jiseon, Kim, Taekyoon, Wu, Peng, Imbiriba, Tales, Closas, Pau, and Kim, Sunwoo. (2022). Federated learning for indoor localization via model reliability with dropout. IEEE Communications Letters, 26(7), 1553–1557. IEEE.

  • Li, Haoqing, Borhani-Darian, Parisa, Wu, Peng, and Closas, Pau. (2022). Deep neural network correlators for GNSS multipath mitigation. IEEE Transactions on Aerospace and Electronic Systems, 59(2), 1249–1259. IEEE.

  • Wu, Peng, Imbiriba, Tales, Elvira, Víctor, and Closas, Pau. (2023). Bayesian data fusion with shared priors. IEEE Transactions on Signal Processing. IEEE.

  • Borhani-Darian, Parisa, Li, Haoqing, Wu, Peng, and Closas, Pau. (2023). Deep learning of GNSS acquisition. Sensors, 23(3), 1566. MDPI.

  • Darian, Parisa Borhani, Li, Haoqing, Wu, Peng, and Closas, Pau. (2023). Detecting GNSS spoofing using deep learning.

  • Wu, Peng, Calatrava, Helena, Imbiriba, Tales, and Closas, Pau. (2023). Jammer classification with federated learning. 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), 228–234. IEEE.

  • Peng, Wu, Guang-Jun, Ren, Jian-Quan, Yao, and others. (2014). Thermal tunability and sensitivity of bandgap photonic crystal fiber of terahertz wave. Optoelectronics and Advanced Materials-Rapid Communications, 8(July-August 2014), 775–778. OAM-RC.

  • Li, Haoqing, Tang, Shuo, Wu, Peng, and Closas, Pau. (2023). Robust Interference Mitigation Techniques for Direct Position Estimation. IEEE Transactions on Aerospace and Electronic Systems. IEEE.

  • Borhani-Darian, Parisa, Li, Haoqing, Wu, Peng, and Closas, Pau. (2024). Detecting GNSS spoofing using deep learning. EURASIP Journal on Advances in Signal Processing, 2024(1), 14. Springer International Publishing Cham.

  • Wu, Peng, Imbiriba, Tales, and Closas, Pau. (2023). A Bayesian Framework for Clustered Federated Learning.

Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf