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Wei Gao
Researcher at University of New South Wales
Publications - 352
Citations - 9368
Wei Gao is an academic researcher from University of New South Wales. The author has contributed to research in topics: Finite element method & Interval (mathematics). The author has an hindex of 42, co-authored 315 publications receiving 6932 citations. Previous affiliations of Wei Gao include Khalifa University & Hebei Normal University.
Papers
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Proceedings Article
Detecting rumors from microblogs with recurrent neural networks
TL;DR: A novel method that learns continuous representations of microblog events for identifying rumors based on recurrent neural networks that detects rumors more quickly and accurately than existing techniques, including the leading online rumor debunking services.
Proceedings ArticleDOI
Detect Rumors Using Time Series of Social Context Information on Microblogging Websites
TL;DR: A novel approach to capture the temporal characteristics of features related to microblog contents, users and propagation patterns based on the time series of rumor's lifecycle, for which time series modeling technique is applied to incorporate various social context information.
Proceedings ArticleDOI
Detect Rumors in Microblog Posts Using Propagation Structure via Kernel Learning
Jing Ma,Wei Gao,Kam-Fai Wong +2 more
TL;DR: A kernel-based method is proposed, which captures high-order patterns differentiating different types of rumors by evaluating the similarities between their propagation tree structures, and can detect rumors more quickly and accurately than state-of-the-art rumor detection models.
Proceedings ArticleDOI
Rumor Detection on Twitter with Tree-structured Recursive Neural Networks
Jing Ma,Wei Gao,Kam-Fai Wong +2 more
TL;DR: This work proposes two recursive neural models based on a bottom-up and a top-down tree-structured neural networks for rumor representation learning and classification, which naturally conform to the propagation layout of tweets.
Journal ArticleDOI
Nonlinear vibration and dynamic buckling analyses of sandwich functionally graded porous plate with graphene platelet reinforcement resting on Winkler–Pasternak elastic foundation
TL;DR: In this paper, the nonlinear vibration and the dynamic buckling of a graphene platelet reinforced sandwich functionally graded porous (GPL-SFGP) plate are thoroughly investigated and the effects of the Winkler-Pasternak elastic foundation, thermal environment and damping are incorporated.