| Deep neural network approach to detect GNSS spoofing attacks P Borhani-Darian, H Li, P Wu, P Closas Proceedings of the 33rd International Technical Meeting of the Satellite …, 2020 | 36 | 2020 |
| Huber’s non-linearity for GNSS interference mitigation D Borio, H Li, P Closas Sensors 18 (7), 2217, 2018 | 34 | 2018 |
| Robust variational-based Kalman filter for outlier rejection with correlated measurements H Li, D Medina, J Vilà-Valls, P Closas IEEE Transactions on Signal Processing 69, 357-369, 2020 | 33 | 2020 |
| Robust statistics for GNSS positioning under harsh conditions: A useful tool? D Medina, H Li, J Vilà-Valls, P Closas Sensors 19 (24), 5402, 2019 | 32 | 2019 |
| Model-based deep autoencoder networks for nonlinear hyperspectral unmixing H Li, RA Borsoi, T Imbiriba, P Closas, JCM Bermudez, D Erdoğmuş IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 26 | 2021 |
| Deep learning of GNSS signal correlation H Li, P Borhani-Darian, P Wu, P Closas Proceedings of the 33rd International Technical Meeting of the Satellite …, 2020 | 20 | 2020 |
| Robust filtering techniques for RTK positioning in harsh propagation environments D Medina, H Li, J Vilà-Valls, P Closas Sensors 21 (4), 1250, 2021 | 19 | 2021 |
| Dual-domain robust GNSS interference mitigation H Li, D Borio, P Closas Proceedings of the 32nd International Technical Meeting of the Satellite …, 2019 | 15 | 2019 |
| Deep neural network correlators for GNSS multipath mitigation H Li, P Borhani-Darian, P Wu, P Closas IEEE Transactions on Aerospace and Electronic Systems 59 (2), 1249-1259, 2022 | 13 | 2022 |
| Neural network-based OFDM receiver for resource constrained IoT devices N Soltani, H Cheng, M Belgiovine, Y Li, H Li, B Azari, S D'Oro, T Imbiriba, ... IEEE Internet of Things Magazine 5 (3), 158-164, 2022 | 12 | 2022 |
| Automated deep learning-based wide-band receiver B Azari, H Cheng, N Soltani, H Li, Y Li, M Belgiovine, T Imbiriba, S D’Oro, ... Computer Networks 218, 109367, 2022 | 10 | 2022 |
| Robust Kalman filter for RTK positioning under signal-degraded scenarios H Li, D Medina, J Vilà-Valls, P Closas Proceedings of the 32nd International Technical Meeting of the Satellite …, 2019 | 10 | 2019 |
| On robust statistics for gnss single point positioning D Medina, H Li, J Vila-Valls, P Closas 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3281-3287, 2019 | 9 | 2019 |
| Deep learning of GNSS acquisition P Borhani-Darian, H Li, P Wu, P Closas Sensors 23 (3), 1566, 2023 | 7 | 2023 |
| Huber's Non-linearity for Robust Transformed Domain GNSS Signal Processing D Borio, H Li, P Closas Proceedings of the 31st International Technical Meeting of the Satellite …, 2018 | 6 | 2018 |
| Precise direct position estimation: Validation experiments S Tang, H Li, H Calatrava, P Closas 2023 IEEE/ION Position, Location and Navigation Symposium (PLANS), 911-916, 2023 | 3 | 2023 |
| Recursive classification of satellite imaging time-series: An application to water and land cover mapping H Calatrava, B Duvvuri, H Li, R Borsoi, E Beighley, D Erdogmus, P Closas, ... arXiv preprint arXiv:2301.01796, 2023 | 3 | 2023 |
| Online multi-resolution fusion of space-borne multispectral images H Li, B Duvvuri, R Borsoi, T Imbiriba, E Beighley, D Erdoğmuş, P Closas 2022 IEEE Aerospace Conference (AERO), 1-12, 2022 | 3 | 2022 |
| Robust interference mitigation methods for GNSS Anti-Jamming H Li Northeastern University, 2018 | 2 | 2018 |
| Robust Interference Mitigation Techniques for Direct Position Estimation H Li, S Tang, P Wu, P Closas IEEE Transactions on Aerospace and Electronic Systems, 2023 | 1 | 2023 |
Pau ClosasAssociate Professor of ECE, Northeastern UniversityVerified email at northeastern.edu
