UQ PhD international awards in Meeting Challenges of Big Data
- $28,597 p.a.
- 3 January 2021
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 learningbased 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.
The University of Queensland
You must meet the entry requirements for a higher degree by research.
Do you wish to become an international student next year?
Demonstrate your English skills with IELTS.
$28,597 per annum (2021 rate), indexed annually.
Before submitting an application you should:
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