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2020 – today
- 2024
[j5]Daniel M. Runfola, Anthony Stefanidis, Zhonghui Lv
, Joseph O'Brien, Heather Baier:
A multi-glimpse deep learning architecture to estimate socioeconomic census metrics in the context of extreme scope variance. Int. J. Geogr. Inf. Sci. 38(4): 726-750 (2024)- [j4]Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, João Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Cláudio T. Silva:
Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators From High-Resolution Orthographic Imagery and Hybrid Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 5668-5679 (2024) - 2023
- [j3]Zhonghui Lv, Karinna Nunez, Ethan Brewer, Daniel M. Runfola:
pyShore: A deep learning toolkit for shoreline structure mapping with high-resolution orthographic imagery and convolutional neural networks. Comput. Geosci. 171: 105296 (2023) - [j2]Guofei Xiang, Songyi Dian, Shaofeng Du, Zhonghui Lv:
Variational Information Bottleneck Regularized Deep Reinforcement Learning for Efficient Robotic Skill Adaptation. Sensors 23(2): 762 (2023) - [i2]Ethan Brewer, Zhonghui Lv, Daniel M. Runfola:
Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach. CoRR abs/2301.09620 (2023) - [i1]Ethan Brewer, Giovani Valdrighi, Parikshit Solunke, João Rulff, Yurii Piadyk, Zhonghui Lv, Jorge Poco, Cláudio T. Silva:
Granularity at Scale: Estimating Neighborhood Well-Being from High-Resolution Orthographic Imagery and Hybrid Learning. CoRR abs/2309.16808 (2023)
2010 – 2019
- 2019
- [j1]Seth Goodman, Ariel BenYishay, Zhonghui Lv, Daniel M. Runfola:
GeoQuery: Integrating HPC systems and public web-based geospatial data tools. Comput. Geosci. 122: 103-112 (2019)
Coauthor Index
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