18 citations · 46 across the 6 of their papers we have counts for
6 papers
Semi-supervised Deep Representation Learning for Multi-View Problems
Vahid Noroozi, Sara Bahaadini, Lei Zheng +3
While neural networks for learning representation of multi-view data have been previously proposed as one of the state-of-the-art multi-view dimension reduction techniques, how to…
Modeling Review Spam Using Temporal Patterns and Co-bursting Behaviors
Huayi Li, Geli Fei, Shuai Wang +4
Online reviews play a crucial role in helping consumers evaluate and compare products and services. However, review hosting sites are often targeted by opinion spamming. In recent…
Online Unsupervised Multi-view Feature Selection
Weixiang Shao, Lifang He, Chun-Ta Lu +2
In the era of big data, it is becoming common to have data with multiple modalities or coming from multiple sources, known as "multi-view data". Multi-view data are usually unlabel…
Multi-Source Multi-View Clustering via Discrepancy Penalty
Weixiang Shao, Jiawei Zhang, Lifang He +1
With the advance of technology, entities can be observed in multiple views. Multiple views containing different types of features can be used for clustering. Although multi-view cl…
Partial Network Alignment with Anchor Meta Path and Truncated Generic Stable Matching
Jiawei Zhang, Weixiang Shao, Senzhang Wang +2
To enjoy more social network services, users nowadays are usually involved in multiple online social networks simultaneously. The shared users between different networks are called…
Clustering on Multiple Incomplete Datasets via Collective Kernel Learning
Weixiang Shao, Xiaoxiao Shi, Philip S. Yu
Multiple datasets containing different types of features may be available for a given task. For instance, users' profiles can be used to group users for recommendation systems. In…