3 citations · 5 across the 5 of their papers we have counts for
5 papers
A Hierarchical Framework with Spatio-Temporal Consistency Learning for Emergence Detection in Complex Adaptive Systems
Siyuan Chen, Xin Du, Jiahai Wang
Emergence, a global property of complex adaptive systems (CASs) constituted by interactive agents, is prevalent in real-world dynamic systems, e.g., network-level traffic congestio…
DegUIL: Degree-aware Graph Neural Networks for Long-tailed User Identity Linkage
Meixiu Long, Siyuan Chen, Xin Du +1
User identity linkage (UIL), matching accounts of a person on different social networks, is a fundamental task in cross-network data mining. Recent works have achieved promising re…
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework
Chao Zhang, Zhijian Li, Hui Qian +1
The recently developed Particle-based Variational Inference (ParVI) methods drive the empirical distribution of a set of \emph{fixed-weight} particles towards a given target distri…
A Novel Framework with Information Fusion and Neighborhood Enhancement for User Identity Linkage
Siyuan Chen, Jiahai Wang, Xin Du +1
User identity linkage across social networks is an essential problem for cross-network data mining. Since network structure, profile and content information describe different aspe…
Semi-supervised structured output prediction by local linear regression and sub-gradient descent
Ru-Ze Liang, Wei Xie, Weizhi Li +3
We propose a novel semi-supervised structured output prediction method based on local linear regression in this paper. The existing semi-supervise structured output prediction meth…