Yifan Zhao

Zhao, Y., Yang, X., & Vatsavai, R. R. (2023). Cloud Imputation for Multi-sensor Remote Sensing Imagery with Style Transfer. MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES: APPLIED DATA SCIENCE AND DEMO TRACK, ECML PKDD 2023, PT VII, Vol. 14175, pp. 37–53. https://doi.org/10.1007/978-3-031-43430-3_3

Yang, X., Zhao, Y., & Vatsavai, R. R. (2023). Harmonization-guided deep residual network for imputing under clouds with multi-sensor satellite imagery. PROCEEDINGS OF 2023 18TH INTERNATIONAL SYMPOSIUM ON SPATIAL AND TEMPORAL DATA, SSTD 2023, pp. 151–160. https://doi.org/10.1145/3609956.3609967

Samudrala, S. V. V. K., Zhao, Y., & Vatsavai, R. R. (2023). NOVEL DEEP LEARNING FRAMEWORK FOR IMPUTING HOLES IN ORTHORECTIFIED VHR IMAGES. IGARSS 2023 - 2023 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, pp. 5158–5161. https://doi.org/10.1109/IGARSS52108.2023.10281804

Yang, X., Zhao, Y., & Vatsavai, R. R. (2022). Deep Residual Network with Multi-Image Attention for Imputing Under Clouds in Satellite Imagery. 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), pp. 643–649. https://doi.org/10.1109/ICPR56361.2022.9956166

Zhao, Y., Yang, X., & Vatsavai, R. R. (2022). Multi-stream Deep Residual Network for Cloud Imputation Using Multi-resolution Remote Sensing Imagery. 2022 21ST IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS, ICMLA, pp. 97–104. https://doi.org/10.1109/ICMLA55696.2022.00021

Zhao, Y., Yang, X., & Vatsavai, R. R. (2021). A Scalable System for Searching Large-scale Multi-sensor Remote Sensing Image Collections. 2021 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA), pp. 3780–3783. https://doi.org/10.1109/BigData52589.2021.9671679

Zhao, Y., Yang, X., Bolnykh, C., Harenberg, S., Korchiev, N., Yerramsetty, S. R., … Samatova, N. F. (2021, August 26). Predictive models with end user preference. STATISTICAL ANALYSIS AND DATA MINING, Vol. 8. https://doi.org/10.1002/sam.11545