2 papers
cs.DS2023
Massively Parallel Algorithms for the Stochastic Block Model
Zelin Li, Pan Peng, Xianbin Zhu
Learning the community structure of a large-scale graph is a fundamental problem in machine learning, computer science and statistics. We study the problem of exactly recovering th…
cs.CV2022
Self-Supervised Learning for Building Damage Assessment from Large-scale xBD Satellite Imagery Benchmark Datasets
Zaishuo Xia, Zelin Li, Yanbing Bai +2
In the field of post-disaster assessment, for timely and accurate rescue and localization after a disaster, people need to know the location of damaged buildings. In deep learning,…