A multi-glimpse deep learning architecture to estimate socioeconomic census metrics in the context of extreme scope variance - Daniel M. Runfola; Anthony Stefanidis; Zhonghui Lv; Joseph O'Brien; Heather Baier (Int. J. Geogr. Inf. Sci., 2024)

Granularity at Scale: Estimating Neighborhood Socioeconomic Indicators From High-Resolution Orthographic Imagery and Hybrid Learning - Ethan Brewer; Giovani Valdrighi; Parikshit Solunke; João Rulff; Yurii Piadyk; Zhonghui Lv; Jorge Poco; Cláudio T. Silva (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

pyShore: A deep learning toolkit for shoreline structure mapping with high-resolution orthographic imagery and convolutional neural networks - Zhonghui Lv; Karinna Nunez; Ethan Brewer; Daniel M. Runfola (Comput. Geosci., 2023)

Variational Information Bottleneck Regularized Deep Reinforcement Learning for Efficient Robotic Skill Adaptation - Guofei Xiang; Songyi Dian; Shaofeng Du; Zhonghui Lv (Sensors, 2023)

Tracking the industrial growth of modern China with high-resolution panchromatic imagery: A sequential convolutional approach - Ethan Brewer; Zhonghui Lv; Daniel M. Runfola (CoRR, 2023)

Granularity at Scale: Estimating Neighborhood Well-Being from High-Resolution Orthographic Imagery and Hybrid Learning - Ethan Brewer; Giovani Valdrighi; Parikshit Solunke; João Rulff; Yurii Piadyk; Zhonghui Lv; Jorge Poco; Cláudio T. Silva (CoRR, 2023)

GeoQuery: Integrating HPC systems and public web-based geospatial data tools - Seth Goodman; Ariel BenYishay; Zhonghui Lv; Daniel M. Runfola (Comput. Geosci., 2019)