activity
20122020
most citedA Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

98 citations · 282 across the 11 of their papers we have counts for

collaborators

11 papers

cs.IR2020

Addressing Class-Imbalance Problem in Personalized Ranking

Lu Yu, Shichao Pei, Chuxu Zhang +4

Pairwise ranking models have been widely used to address recommendation problems. The basic idea is to learn the rank of users' preferred items through separating items into \emph{…

cs.LG2020★ 3 cited

Heterogeneous Relational Reasoning in Knowledge Graphs with Reinforcement Learning

Mandana Saebi, Steven Krieg, Chuxu Zhang +2

Path-based relational reasoning over knowledge graphs has become increasingly popular due to a variety of downstream applications such as question answering in dialogue systems, fa…

cs.CL2019★ 6 cited

Few-Shot Knowledge Graph Completion

Chuxu Zhang, Huaxiu Yao, Chao Huang +3

Knowledge graphs (KGs) serve as useful resources for various natural language processing applications. Previous KG completion approaches require a large number of training instance…

cs.LG2019★ 5 cited

Graph Few-shot Learning via Knowledge Transfer

Huaxiu Yao, Chuxu Zhang, Ying Wei +5

Towards the challenging problem of semi-supervised node classification, there have been extensive studies. As a frontier, Graph Neural Networks (GNNs) have aroused great interest r…

cs.LG2018★ 98 cited

A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

Chuxu Zhang, Dongjin Song, Yuncong Chen +7

Nowadays, multivariate time series data are increasingly collected in various real world systems, e.g., power plants, wearable devices, etc. Anomaly detection and diagnosis in mult…

cs.SI2018★ 3 cited

CARL: Content-Aware Representation Learning for Heterogeneous Networks

Chuxu Zhang, Ananthram Swami, Nitesh V. Chawla

Heterogeneous networks not only present a challenge of heterogeneity in the types of nodes and relations, but also the attributes and content associated with the nodes. While recen…

cs.DL2016★ 7 cited

Identifying the Academic Rising Stars

Chuxu Zhang, Chuang Liu, Lu Yu +2

Predicting the fast-rising young researchers (Academic Rising Stars) in the future provides useful guidance to the research community, e.g., offering competitive candidates to univ…

physics.soc-ph2013★ 16 cited

Emergence of Blind Areas in Information Spreading

Zi-Ke Zhang, Chu-Xu Zhang, Xiao-Pu Han +1

Recently, contagion-based (disease, information, etc.) spreading on social networks has been extensively studied. In this paper, other than traditional full interaction, we propose…

cs.IR2013★ 45 cited

Information Filtering via Collaborative User Clustering Modeling

Chu-Xu Zhang, Zi-Ke Zhang, Lu Yu +3

The past few years have witnessed the great success of recommender systems, which can significantly help users find out personalized items for them from the information era. One of…

physics.soc-ph2013★ 77 cited

Epidemic Spreading on Weighted Complex Networks

Ye Sun, Chuang Liu, Chu-Xu Zhang +1

Nowadays, the emergence of online services provides various multi-relation information to support the comprehensive understanding of the epidemic spreading process. In this Letter,…

physics.soc-ph2012★ 22 cited

An Evolving model of online bipartite networks

C. -X. Zhang, Z. -K. Zhang, C. Liu

Understanding the structure and evolution of online bipartite networks is a significant task since they play a crucial role in various e-commerce services nowadays. Recently, vario…