activity
20152023
most citedUrban spatial-temporal activity structures: a New Approach to Inferring the Intra-urban Functional Regions via Social Media Check-In Data

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

collaborators

5 papers

cs.LG20244 cited

LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Shaowen Wang, Linxi Yu, Jian Li

Fine-tuning large-scale pretrained models is prohibitively expensive in terms of computational and memory costs. LoRA, as one of the most popular Parameter-Efficient Fine-Tuning (P…

cs.LG20231 cited

Graph Transformer Network for Flood Forecasting with Heterogeneous Covariates

Jimeng Shi, Vitalii Stebliankin, Zhaonan Wang +2

Floods can be very destructive causing heavy damage to life, property, and livelihoods. Global climate change and the consequent sea-level rise have increased the occurrence of ext…

cs.SI2017

Depicting urban boundaries from a mobility network of spatial interactions: A case study of Great Britain with geo-located Twitter data

Junjun Yin, Aiman Soliman, Dandong Yin +1

Existing urban boundaries are usually defined by government agencies for administrative, economic, and political purposes. Defining urban boundaries that consider socio-economic re…

cs.SI20161 cited

Consistency of Social Sensing Signatures Across Major US Cities

Aiman Soliman, Kiumars Soltani, Anand Padmanabhan +1

Previous studies have shown that Twitter users have biases to tweet from certain locations, locational bias, and during certain hours, temporal bias. We used three years of geoloca…

cs.SI20154 cited

Urban spatial-temporal activity structures: a New Approach to Inferring the Intra-urban Functional Regions via Social Media Check-In Data

Ye Zhi, Yu Liu, Shaowen Wang +3

Most existing literature focuses on the exterior temporal rhythm of human movement to infer the functional regions in a city, but they neglects the underlying interdependence betwe…