13 citations · 46 across the 9 of their papers we have counts for
6 papers · 1 filter
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps
Yibo Sun, Jizhou Huang, Chunyuan Yuan +4
Providing timely accessibility reminders of a point-of-interest (POI) plays a vital role in improving user satisfaction of finding places and making visiting decisions. However, it…
SRLF: A Stance-aware Reinforcement Learning Framework for Content-based Rumor Detection on Social Media
Chunyuan Yuan, Wanhui Qian, Qianwen Ma +2
The rapid development of social media changes the lifestyle of people and simultaneously provides an ideal place for publishing and disseminating rumors, which severely exacerbates…
Early Detection of Fake News by Utilizing the Credibility of News, Publishers, and Users Based on Weakly Supervised Learning
Chunyuan Yuan, Qianwen Ma, Wei Zhou +2
The dissemination of fake news significantly affects personal reputation and public trust. Recently, fake news detection has attracted tremendous attention, and previous studies ma…
Beyond Statistical Relations: Integrating Knowledge Relations into Style Correlations for Multi-Label Music Style Classification
Qianwen Ma, Chunyuan Yuan, Wei Zhou +2
Automatically labeling multiple styles for every song is a comprehensive application in all kinds of music websites. Recently, some researches explore review-driven multi-label mus…
Jointly embedding the local and global relations of heterogeneous graph for rumor detection
Chunyuan Yuan, Qianwen Ma, Wei Zhou +2
The development of social media has revolutionized the way people communicate, share information and make decisions, but it also provides an ideal platform for publishing and sprea…
Learning review representations from user and product level information for spam detection
Chunyuan Yuan, Wei Zhou, Qianwen Ma +3
Opinion spam has become a widespread problem in social media, where hired spammers write deceptive reviews to promote or demote products to mislead the consumers for profit or fame…