Short Biography

Yang Liu is a associate professor at the School of Instrumentation and Optoelectronic Engineering, Beihang University. She received her Bachelor and Ph.D degrees from Beihang University in year 2006 and 2011 separately. She was with State Key Laboratory of CNS/ATM in School of Electronic and Information Engineering, Beihang University from 2012 to 2014. She joined in School of Instrumentation and Optoelectronic Engineering Beihang University in 2014. She worked as visiting scientist at International Centre for Theoretical Physics, Italy from 2017 to 2018. She published more than 30 papers cited and authored 2 books. She served as junior associate of International Centre for Theoretical Physics from 2019 to 2024. Currently she is senior member of Chinese Institute of Electronics. She serves as editorial board member of Journal Intelligence and Robotics, and junior editorial board member of Journal the Innovation Geoscience. Her research interests include GNSS remote sensing, Ionosphere space physics and application and AI for space weather.

Research Area

1. GNSS remote sensing

2. Ionosphere space physics and applications

3. AI for space weather

Courses

1. Introduction for Space Exploration

2. Introduction for Artificial Intelligence

3. AI for Science

Papers & Books

1. Yang K, Liu Y*, Chen Y, et al. A New Wavelet Transform and Merging Generative Adversarial Network (WTM-GAN) Model for TEC Spatial Inpainting[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2025.

2. Chen Y, Liu Y*, Yang Kun, et al. Ionospheric Time Series Prediction Method Based on Spatio-Temporal Graph Neural Network[J]. Atmosphere, 2025, 16(6).

3. Li L, Liu Y, Zhou H, et al. Ionformer: A data-driven deep learning baseline for global ionospheric TEC forecasting[J]. IEEE Transactions on Geoscience and Remote Sensing, 2025.

4. Liu, X, Wang Y, Yang K, Liu Y*, "Time-Domain Modeling And Prediction of Global Ionospheric Total Electron Content: Applications of Attention Mechanisms," Proceedings of the 2025 International Technical Meeting of The Institute of Navigation, Long Beach, California, January 2025, pp. 229-242.

5. Yang K, Liu Y*, "Comparison of Global TEC Prediction Performance with two Deep Learning Frameworks," Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), Denver, Colorado, September 2023, pp. 3982-4001.

6. Liu Y*, Yang K, "Comparison of Ionospheric Responses in America Induced by Different Geomagnetic Storms in 2015," Proceedings of the 36th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2023), Denver, Colorado, September 2023, pp. 4002-4015.

7. Yang K, Liu Y*. Global Ionospheric Total Electron Content Completion with a GAN-Based Deep Learning Framework[J]. Remote Sensing, 2022, 14(23): 6059.

8. Chen Z, Liu Y*, Guo K, et al. Study of the ionospheric scintillation radio propagation characteristics with cosmic observations[J]. Remote Sensing, 2022, 14(3): 578.

9. Bin X; Liu Y*; Improved Model of Ionosphere Variability and Study for Long-term Statistical Characteristics, Chinese Journal of Aeronautics, 2020, 2020(06).

10. Zhang Q , Liu Y* , J Xia. Space-Borne GNSS-R Ionospheric Delay Error Elimination by Optimal Spatial Filtering[J]. Sensors, 2020, 20(19):5535.

11. Zhang Y , Liu Y* , Mei J , et al. A Study on the Characteristics of the Ionospheric Gradient under Geomagnetic Perturbations[J]. Sensors (Basel, Switzerland), 2020, 20(7).

12. Liu Y*, Li Z , Fu L , et al. Studying the ionospheric responses induced by a geomagnetic storm in September 2017 with multiple observations in America[J]. GPS Solutions, 2020, 24(1):1-13.

13. Liu Y* , Li Z , Fu L , et al. Analyzing Ionosphere TEC and ROTI Responses on 2010 August High Speed Solar Winds[J]. IEEE Access, 2019, 7:29788-29804.

14. Liu Y* , Fu L , Wang J , et al. Studying Ionosphere Responses to a Geomagnetic Storm in June 2015 with Multi-Constellation Observations[J]. Remote Sensing, 2018, 10(5):666.

15. Liu Y* , Fu L , Wang J , et al. Study of GNSS Loss of Lock Characteristics under Ionosphere Scintillation with GNSS Data at Weipa (Australia) During Solar Maximum Phase[J]. Sensors, 2017, 17(10):2205.

16. Guo K; Zhao Y; Liu Y*; Wang J; Zhang C; Zhu Y; Study of Ionospheric Scintillation Characteristics in Australia with GNSS during 2011-2015, Advanced Space Research.

17. Guo K , Liu Y* , Zhao Y , Zhang C. Analysis of Ionospheric Scintillation Characteristics in Sub-Antarctica Region with GNSS Data at Macquarie Island[J]. Sensors, 2017, 17(12):137.