UQ PhD international awards in Meeting Challenges of Big Data

Supervisor – Dr Hongzhi Yin

This project aims to systematically study how to meet emerging challenges from “4Vs (Volume, Veracity, Variety, Velocity)” of big data and develop a scalable, robust and real-time recommender system framework in a cost-effective and end-to-end manner. Specifically, our goal consists of four subtasks:

developing a compact latent factor model for scalable recommendation;
developing an anti-shilling model for secure recommendation;
developing a heterogeneous feature embedding and fusion framework to enhance the robustness for cold-start recommendation;
developing a meta learning based online learning scheme to support streaming recommendation.

A working knowledge of deriving state-of-the-art machine learning approaches for real-world applications and publishing conference/journal papers on prestigious venues would be of benefit to someone working on this project.

School of Information Technology & Electrical Engineering

The Responsible Big Data Intelligence Lab (RBDI) is based in the School of ITEE, The University of Queensland. RBDI Lab aims and strives to develop energy-efficient, privacy-preserving, robust, explainable and fair data mining and machine learning techniques with theoretical backbones to better discover actionable patterns and intelligence from large-scale, heterogeneous, networked, dynamic and sparse data. RBDI joins forces with other fields such as urban transportation, healthcare, agriculture, E-commerce and marketing to help solve societal, environmental and economical challenges facing humanity, in pursuit of a sustainable future.