52 citations · 87 across the 7 of their papers we have counts for
7 papers
Network Embedding with Completely-imbalanced Labels
Zheng Wang, Xiaojun Ye, Chaokun Wang +2
Network embedding, aiming to project a network into a low-dimensional space, is increasingly becoming a focus of network research. Semi-supervised network embedding takes advantage…
BiSample: Bidirectional Sampling for Handling Missing Data with Local Differential Privacy
Lin Sun, Xiaojun Ye, Jun Zhao +2
Local differential privacy (LDP) has received much interest recently. In existing protocols with LDP guarantees, a user encodes and perturbs his data locally before sharing it to t…
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…
Conditional Analysis for Key-Value Data with Local Differential Privacy
Lin Sun, Jun Zhao, Xiaojun Ye +3
Local differential privacy (LDP) has been deemed as the de facto measure for privacy-preserving distributed data collection and analysis. Recently, researchers have extended LDP to…
Distributed Clustering in the Anonymized Space with Local Differential Privacy
Lin Sun, Jun Zhao, Xiaojun Ye
Clustering and analyzing on collected data can improve user experiences and quality of services in big data, IoT applications. However, directly releasing original data brings pote…
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…
Computation of Transition Adjacency Relations Based on Complete Prefix Unfolding (Technical Report)
Jisheng Pei, Lijie Wen, Akhil Kumar +1
An increasing number of works have devoted to the application of Transition Adjacency Relation (TAR) as a means to capture behavioral features of business process models. In this p…