25 citations · 54 across the 14 of their papers we have counts for
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cs.LG2020
Repulsive Mixture Models of Exponential Family PCA for Clustering
Maoying Qiao, Tongliang Liu, Jun Yu +2
The mixture extension of exponential family principal component analysis (EPCA) was designed to encode much more structural information about data distribution than the traditional…
cs.LG2020
Detecting Communities in Heterogeneous Multi-Relational Networks:A Message Passing based Approach
Maoying Qiao, Jun Yu, Wei Bian +1
Community is a common characteristic of networks including social networks, biological networks, computer and information networks, to name a few. Community detection is a basic st…
cs.LG2019★ 25 cited
Diversified Hidden Markov Models for Sequential Labeling
Maoying Qiao, Wei Bian, Richard Yida Xu +1
Labeling of sequential data is a prevalent meta-problem for a wide range of real world applications. While the first-order Hidden Markov Models (HMM) provides a fundamental approac…