T
Tingmin Wu
Researcher at Swinburne University of Technology
Publications - 21
Citations - 303
Tingmin Wu is an academic researcher from Swinburne University of Technology. The author has contributed to research in topics: Computer science & Spamming. The author has an hindex of 4, co-authored 13 publications receiving 195 citations. Previous affiliations of Tingmin Wu include Deakin University & Commonwealth Scientific and Industrial Research Organisation.
Papers
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Journal ArticleDOI
Twitter spam detection: Survey of new approaches and comparative study
TL;DR: A new survey about Twitter spam detection techniques to include those who do or do not have expertise in this area and those who are looking for deep understanding of this field in order to develop new methods.
Proceedings ArticleDOI
Twitter spam detection based on deep learning
TL;DR: This paper proposed a novel technique based on deep learning techniques to address the challenges of spam drift and information fabrication in Twitter spam and found that this method largely outperformed existing methods.
Journal ArticleDOI
Detecting spamming activities in twitter based on deep-learning technique
Tingmin Wu,Sheng Wen,Shigang Liu,Jun Zhang,Yang Xiang,Majed Alrubaian,Mohammad Mehedi Hassan +6 more
TL;DR: A novel technique based on deep‐learning technique to address the challenges of spam drift and information fabrication and found that its features were most distinct among all the detection methods.
Journal ArticleDOI
Pokémon GO in Melbourne CBD: A case study of the cyber-physical symbiotic social networks
Derek Wang,Tingmin Wu,Sheng Wen,Donghai Liu,Yang Xiang,Wanlei Zhou,Houcine Hassan,Abdulhameed Alelaiwi +7 more
TL;DR: A data-driven research on the Pokemon GO game suggested that the existence of the cyber social network has reciprocally changed the structure of the symbiotic physical social network.
Proceedings ArticleDOI
What risk? I don't understand. An Empirical Study on Users' Understanding of the Terms Used in Security Texts
Tingmin Wu,Rongjunchen Zhang,Wanlun Ma,Sheng Wen,Xin Xia,Cecile Paris,Surya Nepal,Yang Xiang +7 more
TL;DR: A framework to build a user-oriented security-centric dictionary from multiple sources was developed and a tool as a service to detect technical terms and explain their meanings to the user in pop-ups showed that it could increase users' ability to understand security articles by 30%.