5 citations · 7 across the 5 of their papers we have counts for
5 papers
Time-varying Graph Learning Under Structured Temporal Priors
Xiang Zhang, Qiao Wang
This paper endeavors to learn time-varying graphs by using structured temporal priors that assume underlying relations between arbitrary two graphs in the graph sequence. Different…
A Semantic Indexing Structure for Image Retrieval
Ying Wang, Tingzhen Liu, Zepeng Bu +3
In large-scale image retrieval, many indexing methods have been proposed to narrow down the searching scope of retrieval. The features extracted from images usually are of high dim…
Robust Graph Learning Under Wasserstein Uncertainty
Xiang Zhang, Yinfei Xu, Qinghe Liu +3
Graphs are playing a crucial role in different fields since they are powerful tools to unveil intrinsic relationships among signals. In many scenarios, an accurate graph structure…
Zero-Shot Feature Selection via Transferring Supervised Knowledge
Zheng Wang, Qiao Wang, Tingzhang Zhao +1
Feature selection, an effective technique for dimensionality reduction, plays an important role in many machine learning systems. Supervised knowledge can significantly improve the…
Equivalence between LINE and Matrix Factorization
Qiao Wang, Zheng Wang, Xiaojun Ye
LINE [1], as an efficient network embedding method, has shown its effectiveness in dealing with large-scale undirected, directed, and/or weighted networks. Particularly, it propose…