Overview
Background
My research focuses on data science methods, including theory and application for various real-world scenarios, such as recommender systems, social network, urban computing, engineering, law, health etc. I am particularly interested into graph neural networks, large language models (LLMs, MLLMs), etc.
- I am actively looking for PhD students (multiple positions) starting in Year 2026. Please visit: https://ruihongqiu.github.io/recruit-phd/
- I am actively looking for thesis/honours/research/RA students yearly. Please visit: https://ruihongqiu.github.io/recruit-thesis/
Availability
- Dr Ruihong Qiu is:
- Available for supervision
Qualifications
- Doctor of Philosophy of Computer Science (Information Technology), The University of Queensland
Research impacts
I have be granted the Australian Research Council Discovery Early Career Researcher Award (ARC DECRA) 2025-2028.
Works
Search Professor Ruihong Qiu’s works on UQ eSpace
2021
Conference Publication
Memory augmented multi-instance contrastive predictive coding for sequential recommendation
Qiu, Ruihong, Huang, Zi and Yin, Hongzhi (2021). Memory augmented multi-instance contrastive predictive coding for sequential recommendation. IEEE International Conference on Data Mining, Auckland, New Zealand, 7-10 December 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM51629.2021.00063
2020
Conference Publication
GAG: global attributed graph neural network for streaming session-based recommendation
Qiu, Ruihong, Yin, Hongzhi, Huang, Zi and Chen, Tong (2020). GAG: global attributed graph neural network for streaming session-based recommendation. International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event China , 25-30 July 2020. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3397271.3401109
2020
Journal Article
Exploiting cross-session information for session-based recommendation with graph neural networks
Qiu, Ruihong, Huang, Zi, Li, Jingjing and Yin, Hongzhi (2020). Exploiting cross-session information for session-based recommendation with graph neural networks. ACM Transactions on Information Systems, 38 (3) 22, 1-23. doi: 10.1145/3382764
2019
Conference Publication
Rethinking the item order in session-based recommendation with graph neural networks
Qiu, Ruihong, Li, Jingjing, Huang, Zi and Yin, Hongzhi (2019). Rethinking the item order in session-based recommendation with graph neural networks. CIKM '19 28th ACM International Conference on Information and Knowledge Management, Beijing, China, 3 - 7 November, 2019. New York, New York, USA: ACM Press. doi: 10.1145/3357384.3358010
Supervision
Availability
- Dr Ruihong Qiu is:
- Available for supervision
Looking for a supervisor? Read our advice on how to choose a supervisor.
Available projects
-
Advancing Reasoning Ability in Diffusion Large Language Models
Investigate the development of enabling diffusion large language models to achieve advanced reasoning ability.
Supervision history
Current supervision
-
Doctor Philosophy
Towards Privacy-Preserving and Fairness-Aware Federated Recommendation Systems
Principal Advisor
Other advisors: Professor Helen Huang
-
Doctor Philosophy
Multimodal Learning for Advanced Graph Data Analysis
Principal Advisor
Other advisors: Professor Helen Huang, Dr Yujun Cai
-
Doctor Philosophy
Fairness in Graph Representation Learning Models
Principal Advisor
Other advisors: Professor Helen Huang
-
Doctor Philosophy
efficiency oriented multimedia system
Principal Advisor
Other advisors: Professor Helen Huang
-
Doctor Philosophy
Advancing Reasoning Ability of Large Language Models
Principal Advisor
Other advisors: Professor Helen Huang
-
Doctor Philosophy
Exploring the Trustworthiness of Information Retrieval in the Era of Large Language Models
Principal Advisor
Other advisors: Professor Helen Huang
-
Doctor Philosophy
Reasoning in Knowledge Editing of Large Language Models
Principal Advisor
Other advisors: Professor Helen Huang
-
Doctor Philosophy
Expanding Data Sets to Allow Improved Critical Care for Children - Outpatient Risk Prediction
Associate Advisor
Other advisors: Professor Shazia Sadiq, Professor Kristen Gibbons, Associate Professor Adam Irwin, Dr Moloud Abdar, Associate Professor Sen Wang
-
Doctor Philosophy
Data-Driven Crop Breeding: Enhancing Disease Resistance through Vision-based Digital Phenotyping
Associate Advisor
Other advisors: Professor Scott Chapman, Professor Helen Huang, Dr Millicent Smith, Dr Shanice Van Haeften, Associate Professor Sen Wang
-
Doctor Philosophy
Behaviour-Oriented Tracking of Disinformation
Associate Advisor
Other advisors: Dr Priyanka Singh, Professor Xue Li
Completed supervision
-
2026
Doctor Philosophy
Diagnostic data analytics for sewer inflow and infiltration
Associate Advisor
Other advisors: Professor Helen Huang, Honorary Professor Zhiguo Yuan
-
2026
Doctor Philosophy
Adaptive Reinforcement Learning for Practical Decision Making
Associate Advisor
Other advisors: Associate Professor Jiajun Liu, Associate Professor Sen Wang
-
2026
Doctor Philosophy
Aligning Privacy Promises with Practice in Application Ecosystems
Associate Advisor
Other advisors: Professor Helen Huang
Media
Enquiries
For media enquiries about Dr Ruihong Qiu's areas of expertise, story ideas and help finding experts, contact our Media team: