6 citations · 10 across the 6 of their papers we have counts for
8 papers
Global Synchronization for Multi-Source Data Integration under Blockwise Missing Patterns
Runbing Zheng, Dmitriy Kunisky
Multi-source data integration problems over datasets from different sources covering different but possibly overlapping sets of entities have become increasingly important in many…
A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation
Runshi Tang, Runbing Zheng, Anru R. Zhang +1
Dynamic multilayer networks are frequently used to describe the structure and temporal evolution of multiple relationships among common entities, with applications in fields such a…
Detection and estimation of vertex-wise latent position shifts across networks
Runbing Zheng
Pairwise network comparison is essential for various applications, including neuroscience, disease research, and dynamic network analysis. While existing literature primarily focus…
Dynamic networks clustering via mirror distance
Runbing Zheng, Avanti Athreya, Marta Zlatic +2
The classification of different patterns of network evolution, for example in brain connectomes or social networks, is a key problem in network inference and modern data science. B…
Chain-linked multiple matrix integration via embedding alignment
Runbing Zheng, Minh Tang
Motivated by the increasing demand for multi-source data integration in various scientific fields, in this paper we study matrix completion in scenarios where the data exhibits cer…
Hierarchical Topological States in Thermal Diffusive Networks
Bao Chen, Kaiyun Pang, Ru Zheng +1
The integration of topological concepts into electronic energy band theory has been a transformative development in condensed matter physics. Since then, this paradigm has broadene…
Limit results for distributed estimation of invariant subspaces in multiple networks inference and PCA
Runbing Zheng, Minh Tang
Several statistical problems, such as multiple heterogeneous graph analysis, distributed PCA, integrative data analysis, and simultaneous dimension reduction of images, can involve…
Vertex nomination between graphs via spectral embedding and quadratic programming
Runbing Zheng, Vince Lyzinski, Carey E. Priebe +1
Given a network and a subset of interesting vertices whose identities are only partially known, the vertex nomination problem seeks to rank the remaining vertices in such a way tha…