activity
20232026
most citedHyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models

4 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Predicting Healthcare System Visitation Flow by Integrating Hospital Attributes and Population Socioeconomics with Human Mobility Data

Binbin Lin, Lei Zou, Hao Tian +3

Healthcare visitation patterns are influenced by a complex interplay of hospital attributes, population socioeconomics, and spatial factors. However, existing research often adopts…

cs.CV2025★ 4 cited

Hyperlocal disaster damage assessment using bi-temporal street-view imagery and pre-trained vision models

Yifan Yang, Lei Zou, Bing Zhou +4

Street-view images offer unique advantages for disaster damage estimation as they capture impacts from a visual perspective and provide detailed, on-the-ground insights. Despite se…

cs.SE2025★ 1 cited

Toward building next-generation Geocoding systems: a systematic review

Zhengcong Yin, Daniel W. Goldberg, Binbin Lin +11

Geocoding systems are widely used in both scientific research for spatial analysis and everyday life through location-based services. The quality of geocoded data significantly imp…

physics.soc-ph2024

Understanding Human-COVID-19 Dynamics using Geospatial Big Data: A Systematic Literature Review

Binbin Lin, Lei Zou, Mingzheng Yang +5

The COVID-19 pandemic has changed human life. To mitigate the pandemic's impacts, different regions implemented various policies to contain COVID-19 and residents showed diverse re…

stat.AP2023

Statistical Machine Learning Meets High-Dimensional Spatiotemporal Challenges -- A Case Study of COVID-19 Modeling

Binbin Lin, Yimin Dai, Lei Zou +1

Diverse non-pharmacological interventions (NPIs), serving as the primary approach for COVID-19 control prior to pharmaceutical interventions, showed heterogeneous spatiotemporal ef…

cs.CY2023★ 1 cited

Sensing the Pulse of the Pandemic: Geovisualizing the Demographic Disparities of Public Sentiment toward COVID-19 through Social Media

Binbin Lina, Lei Zoua, Bo Zhao +4

Social media offers a unique lens to observe large-scale, spatial-temporal patterns of users reactions toward critical events. However, social media use varies across demographics,…