4 citations · 6 across the 6 of their papers we have counts for
6 papers
PC-SAM: Patch-Constrained Fine-Grained Interactive Road Segmentation in High-Resolution Remote Sensing Images
Chengcheng Lv, Rushi Li, Mincheng Wu +3
Road masks obtained from remote sensing images effectively support a wide range of downstream tasks. In recent years, most studies have focused on improving the performance of full…
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
Xiufang Shi, Wei Zhang, Yuheng Li +5
In federated learning, the heterogeneity of client data has a great impact on the performance of model training. Many heterogeneity issues in this process are raised by non-indepen…
Reconstructing Sparse Multiplex Networks with Application to Covert Networks
Jin-Zhu Yu, Mincheng Wu, Gisela Bichler +2
Network structure provides critical information for understanding the dynamic behavior of networks. However, the complete structure of real-world networks is often unavailable, thu…
Universal Urban Spreading Pattern of COVID-19 and Its Underlying Mechanism
Yongtao Zhang, Hongshen Zhang, Mincheng Wu +14
Currently, the global situation of COVID-19 is aggravating, pressingly calling for efficient control and prevention measures. Understanding spreading pattern of COVID-19 has been w…
Discrimination universally determines reconstruction of multiplex networks
Mincheng Wu, Jiming Chen, Shibo He +3
Network reconstruction is fundamental to understanding the dynamical behaviors of the networked systems. Many systems, modeled by multiplex networks with various types of interacti…
A Tensor-Based Framework for Studying Eigenvector Multicentrality in Multilayer Networks
Mincheng Wu, Shibo He, Yongtao Zhang +5
Centrality is widely recognized as one of the most critical measures to provide insight in the structure and function of complex networks. While various centrality measures have be…