Zhonghui Lv

According to our database, Zhonghui Lv authored at least 7 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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., April, 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

2023

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., February, 2023

Variational Information Bottleneck Regularized Deep Reinforcement Learning for Efficient Robotic Skill Adaptation.

Guofei Xiang, Songyi Dian, Shaofeng Du, Zhonghui Lv

Sensors, January, 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

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

2019

GeoQuery: Integrating HPC systems and public web-based geospatial data tools.

Seth Goodman, Ariel BenYishay, Zhonghui Lv, Daniel M. Runfola

Comput. Geosci., 2019