Dr Xingjie Wei is a Research Associate in The Psychometrics Centre working on an Innovate UK funded project that centres on applications designed to put everyday users of the internet back in control of their own digital identities. A focus of the project is to extract psychological and emotional information from samples of text and other digital records of language use such as SMS data stored on users' devices, social media statuses posted online, voice recordings, secondary datasets from partner companies and various open-source databases.
Xingjie obtained her PhD in Computer Science from the University of Warwick in the UK in 2014, applying machine learning techniques to face recognition. Subsequently she worked as a Research Associate at Newcastle University on an EU DG Home Affairs funded project on digital image forensics. She was also a Visiting Researcher at the Chinese Academy of Sciences and at the universities of Sassari and Cagliari in Italy.
X. Wei and D. Stillwell, How smart does your profile image look? Estimating intelligence from social network profile images, Proceeding of ACM International Conference on Web Search and Data Mining (WSDM), 2017
X. Wei*, J. Palomaki*, J. Yan and P. Robinson, The Science and Detection of Tilting, Proceeding of ACM International Conference in Multimedia Retrieval (ICMR), 2016 (*denotes equal contribution )
- X. Wei, C.-T. Li, Z. Lei, D. Yi, Stan Z. Li, Dynamic Image-to-Class Warping for Occluded Face Recognition, IEEE Transaction on Information Forensics and Security (TIFS), vol. 9, no. 12, Dec. 2014