103 citations · 167 across the 19 of their papers we have counts for
5 papers · 1 filter
Deep Unsupervised Active Learning on Learnable Graphs
Handong Ma, Changsheng Li, Xinchu Shi +2
Recently deep learning has been successfully applied to unsupervised active learning. However, current method attempts to learn a nonlinear transformation via an auto-encoder while…
Learning Deep Representation with Energy-Based Self-Expressiveness for Subspace Clustering
Yanming Li, Changsheng Li, Shiye Wang +2
Deep subspace clustering has attracted increasing attention in recent years. Almost all the existing works are required to load the whole training data into one batch for learning…
Causal Effect Estimation using Variational Information Bottleneck
Zhenyu Lu, Yurong Cheng, Mingjun Zhong +3
Causal inference is to estimate the causal effect in a causal relationship when intervention is applied. Precisely, in a causal model with binary interventions, i.e., control and t…
Efficient Top-k Ego-Betweenness Search
Qi Zhang, Rong-Hua Li, Minjia Pan +3
Betweenness centrality, measured by the number of times a vertex occurs on all shortest paths of a graph, has been recognized as a key indicator for the importance of a vertex in t…
Multi-attributed Community Search in Road-social Networks
Fangda Guo, Ye Yuan, Guoren Wang +2
Given a location-based social network, how to find the communities that are highly relevant to query users and have top overall scores in multiple attributes according to user pref…