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Yunxiang Liu
Yunxiang Liu
Research Scientist at Meta (aka Facebook)
Verified email at meta.com
Title
Cited by
Cited by
Year
Application of neural network to GNSS-R wind speed retrieval
Y Liu, I Collett, YJ Morton
IEEE Transactions on Geoscience and Remote Sensing 57 (12), 9756-9766, 2019
662019
ML prediction of global ionospheric TEC maps
L Liu, YJ Morton, Y Liu
Space Weather 20 (9), e2022SW003135, 2022
192022
Application of machine learning to the characterization of GPS L1 ionospheric amplitude scintillation
Y Liu, YJ Morton, Y Jiao
2018 IEEE/ION Position, Location and Navigation Symposium (PLANS), 1159-1166, 2018
192018
Automatic detection of ionospheric scintillation-like GNSS satellite oscillator anomaly using a machine-learning algorithm
Y Liu, YJ Morton
NAVIGATION: Journal of the Institute of Navigation 67 (3), 651-662, 2020
182020
Machine Learning Prediction of Storm‐Time High‐Latitude Ionospheric Irregularities From GNSS‐Derived ROTI Maps
L Liu, YJ Morton, Y Liu
Geophysical Research Letters 48 (20), e2021GL095561, 2021
152021
Detection of coherent GNSS-R measurements using a support vector machine
Y Wang, Y Liu, C Roesler, YJ Morton
IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020
102020
Supervised machine learning of high rate GNSS velocities for Earthquake strong motion signals
T Dittmann, Y Liu, Y Morton, D Mencin
Journal of Geophysical Research: Solid Earth 127 (11), e2022JB024854, 2022
92022
USRP based OFDM radar systems for doorway detection
YX Liu, GY Liang, D Garmatyuk, YTJ Morton
2014 IEEE Radar Conference, 0875-0880, 2014
92014
Improved automatic detection of GPS satellite oscillator anomaly using a machine learning algorithm
Y Liu, YJ Morton
NAVIGATION: Journal of the Institute of Navigation 69 (1), 2022
62022
Automatic detection of ionospheric scintillationlike GNSS oscillator anomaly using a machine learning algorithm
Y Liu, YT Morton
Proceedings of the 32nd International Technical Meeting of the Satellite …, 2019
62019
A new method for ocean wind direction retrieval from delay-doppler maps using stare processing and machine learning: Preliminary simulation results
I Collett, Y Liu, YJ Morton
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 8332 …, 2021
52021
A machine learning framework for real data GNSS-R wind speed retrieval
Y Liu, J Wang, I Collett, YJ Morton
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
52019
Machine learning based automatic detection of ionospheric scintillation-like GNSS oscillator anomaly using dual frequency signals
Y Liu, YT Morton
Proceedings of the 51st Annual Precise Time and Time Interval Systems and …, 2020
42020
Spatiotemporal deep learning network for high-latitude ionospheric phase scintillation forecasting
Y Liu, Z Yang, YJ Morton, R Li
NAVIGATION: Journal of the Institute of Navigation 70 (4), 2023
32023
Automatic detection of Galileo satellite oscillator anomaly by using a machine learning algorithm
KB Wu, Y Liu, Y Morton
Proceedings of the 34th International Technical Meeting of the Satellite …, 2021
32021
Machine learning-based investigation of feature importance for high-latitude ionospheric scintillation forecasting
AJ Wu, Y Liu
Proceedings of the 2021 International Technical Meeting of The Institute of …, 2021
32021
Improved ocean wind speed retrieval using gnss-r, stare processing, and machine learning
SG Anderson, Y Liu, I Collett, YJ Morton
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
22022
Machine learning prediction of highlatitude ionospheric irregularities from GNSS-derived ROTI maps
L Liu, Y Morton, Y Liu
Proceedings of the 34th International Technical Meeting of the Satellite …, 2021
12021
Measurement of ionospheric and atmospheric structures using navigation satellite signals captured with software‐defined systems
YT Morton, B Bourne, B Breitsch, Y Liu, B Park, C Rino, S Taylor, Y Wang, ...
Int. Beacon Satellite Sym, 2019
12019
Improved exit path identification with indoor USRP-based radar system
Y Liu, YL Guan, D Garmatyuk, F Quitin
Proceedings of the ION 2015 Pacific PNT Meeting, 355-364, 2015
12015
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Articles 1–20