14 citations · 22 across the 6 of their papers we have counts for
6 papers
Improving Community Detection Performance in Heterogeneous Music Network by Learning Edge-type Usefulness Distribution
Zheng Gao, Chun Guo, Shutian Ma +1
With music becoming an essential part of daily life, there is an urgent need to develop recommendation systems to assist people targeting better songs with fewer efforts. As the in…
Efficient Personalized Community Detection via Genetic Evolution
Zheng Gao, Chun Guo, Xiaozhong Liu
Personalized community detection aims to generate communities associated with user need on graphs, which benefits many downstream tasks such as node recommendation and link predict…
Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning
Zheng Gao, Hongsong Li, Zhuoren Jiang +1
Cyberspace hosts abundant interactions between users and different kinds of objects, and their relations are often encapsulated as bipartite graphs. Detecting user community in suc…
AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data
Zheng Gao, Lin Guo, Chi Ma +6
Anomaly detection is facing with emerging challenges in many important industry domains, such as cyber security and online recommendation and advertising. The recent trend in these…
Neural Related Work Summarization with a Joint Context-driven Attention Mechanism
Yongzhen Wang, Xiaozhong Liu, Zheng Gao
Conventional solutions to automatic related work summarization rely heavily on human-engineered features. In this paper, we develop a neural data-driven summarizer by leveraging th…
Mathematics Content Understanding for Cyberlearning via Formula Evolution Map
Zhuoren Jiang, Liangcai Gao, Ke Yuan +3
Although the scientific digital library is growing at a rapid pace, scholars/students often find reading Science, Technology, Engineering, and Mathematics (STEM) literature dauntin…