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ARC Discovery Projects 2024 Success

Big congratulations to CIRES CIs who have been awarded 2024 ARC Discovery Projects: Professor Zi Huang; Dr Tong Chen; Dr Yadan Luo; Dr Sen Wang; Professor Shazia Sadiq: Video-sharing platforms are a critical information channel for the public. Increasing scale and shifts in user base, with Generation Z now as the dominant user, have resulted […]

Big congratulations to CIRES CIs who have been awarded 2024 ARC Discovery Projects:

Professor Zi Huang; Dr Tong Chen; Dr Yadan Luo; Dr Sen Wang; Professor Shazia Sadiq: Video-sharing platforms are a critical information channel for the public. Increasing scale and shifts in user base, with Generation Z now as the dominant user, have resulted in an unprecedented amount of ubiquitous changes in the content and users of these platforms which greatly challenges the responsiveness and quality of the services provided. This project aims to design innovative algorithms to effectively predict and leverage changes, optimise the value of changes, and extract insights from changes for diverse downstream applications of video-sharing platforms. The expected outcomes will create new-generation representation learning techniques, and provide practical tools to amplify the socioeconomic values of video-sharing platforms.

Dr Quoc Viet Hung Nguyen; Associate Professor Hongzhi Yin: AI-powered recommender systems provide recommendations for daily lives, but they need to be legally interpretable and explainable. This project aims to transform existing black-box recommender models into transparent and trustworthy decision-support systems. The resulting tools will offer granular, explorable rationales for the recommendations in real time, creating greater public confidence while advancing the field. The expected outcomes include graph embedding methods for capturing real-world relationships in all their messiness and complexity. The anticipated contributions include impartial and accountable recommender models that are resistant to adversarial attacks and that slow the spread of misinformation.

 

 

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