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
2025
Journal Article
Low-cost, data-efficient, on-device soft sensors for sewer flow monitoring—learning from adjacent water level sensors
Lin, Ruozhou, Tian, Wenchong, Qiu, Ruihong, Hu, Lihan and Yuan, Zhiguo (2025). Low-cost, data-efficient, on-device soft sensors for sewer flow monitoring—learning from adjacent water level sensors. Water Research X, 29 100415, 100415-29. doi: 10.1016/j.wroa.2025.100415
2025
Conference Publication
DARLR: Dual-agent offline reinforcement learning for recommender systems with dynamic reward
Zhang, Yi, Qiu, Ruihong, Xu, Xuwei, Liu, Jiajun and Wang, Sen (2025). DARLR: Dual-agent offline reinforcement learning for recommender systems with dynamic reward. 48th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR 2025), Padua, Italy, 13-18 July 2025. New York, NY, United States: Association for Computing Machinery. doi: 10.1145/3726302.3729942
2025
Conference Publication
Exploring the Potential of Graph Neural Networks-based Methods for General Linear Programs
Chuang, Yung-Cheng and Qiu, Ruihong (2025). Exploring the Potential of Graph Neural Networks-based Methods for General Linear Programs. New York, NY, USA: ACM. doi: 10.1145/3701716.3715174
2025
Conference Publication
Graph Condensation: Foundations, Methods and Prospects
Yin, Hongzhi, Gao, Xinyi, Yu, Junliang, Qiu, Ruihong, Chen, Tong, Nguyen, Quoc Viet Hung and Huang, Zi (2025). Graph Condensation: Foundations, Methods and Prospects. New York, NY, USA: ACM. doi: 10.1145/3701716.3715862
2025
Journal Article
A low-cost soft sensor for sewer flow monitoring — Learning from water level measurements in manholes
Lin, Ruozhou, Qiu, Ruihong, Hu, Lihan, Ding, Yaxin and Yuan, Zhiguo (2025). A low-cost soft sensor for sewer flow monitoring — Learning from water level measurements in manholes. Water Research, 274 123135, 1-10. doi: 10.1016/j.watres.2025.123135
2025
Journal Article
PUMA: efficient continual graph learning for node classification with graph condensation
Liu, Yilun, Qiu, Ruihong, Tang, Yanran, Yin, Hongzhi and Huang, Zi (2025). PUMA: efficient continual graph learning for node classification with graph condensation. IEEE Transactions on Knowledge and Data Engineering, 37 (1), 449-461. doi: 10.1109/tkde.2024.3485691
2025
Conference Publication
GOLD: GRAPH OUT-OF-DISTRIBUTION DETECTION VIA IMPLICIT ADVERSARIAL LATENT GENERATION
Wang, Danny, Qiu, Ruihong, Bai, Guangdong and Huang, Zi (2025). GOLD: GRAPH OUT-OF-DISTRIBUTION DETECTION VIA IMPLICIT ADVERSARIAL LATENT GENERATION. International Conference on Learning Representations, ICLR.
2024
Conference Publication
EMIT - event-based masked auto encoding for irregular time series
Patel, Hrishikesh, Qiu, Ruihong, Irwin, Adam, Sadiq, Shazia and Wang, Sen (2024). EMIT - event-based masked auto encoding for irregular time series. 2024 IEEE International Conference on Data Mining (ICDM), Abu Dhabi, United Arab Emirates, 9-12 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm59182.2024.00044
2024
Journal Article
Identifying periods impacted by sewer inflow and infiltration using time series anomaly detection
Ge, Jingyu, Li, Jiuling, Qiu, Ruihong, Shi, Tao, Huang, Zi, Liu, Yanchen and Yuan, Zhiguo (2024). Identifying periods impacted by sewer inflow and infiltration using time series anomaly detection. Water Research X, 25 100278, 100278. doi: 10.1016/j.wroa.2024.100278
2024
Conference Publication
ROLeR: effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems
Zhang, Yi, Qiu, Ruihong, Liu, Jiajun and Wang, Sen (2024). ROLeR: effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems. 33rd ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID USA, 21-25 October 2024. New York, NY USA: Association for Computing Machinery. doi: 10.1145/3627673.3679633
2024
Journal Article
A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring
Ge, Jingyu, Li, Jiuling, Qiu, Ruihong, Shi, Tao, Zhang, Chenming, Huang, Zi and Yuan, Zhiguo (2024). A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring. Water Research, 261 122002, 1-10. doi: 10.1016/j.watres.2024.122002
2024
Conference Publication
CaseLink: inductive graph learning for legal case retrieval
Tang, Yanran, Qiu, Ruihong, Yin, Hongzhi, Li, Xue and Huang, Zi (2024). CaseLink: inductive graph learning for legal case retrieval. 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, Washington, DC, United States, 14-18 July 2024. New York, NY, United States: ACM. doi: 10.1145/3626772.3657693
2024
Conference Publication
Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learning
Zhu, Anjie, Zhang, Peng-Fei, Qiu, Ruihong, Zheng, Zetao, Huang, Zi and Shao, Jie (2024). Abstract and explore: a novel behavioral metric with cyclic dynamics in reinforcement learning. 38th AAAI Conference on Artificial Intelligence (AAAI) / 36th Conference on Innovative Applications of Artificial Intelligence / 14th Symposium on Educational Advances in Artificial Intelligence, Vancouver, Canada, 20-27 February 2024. Palo Alto, CA, United States: Association for the Advancement of Artificial Intelligence. doi: 10.1609/aaai.v38i15.29660
2024
Conference Publication
CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs
Tang, Yanran, Qiu, Ruihong, Liu, Yilun, Li, Xue and Huang, Zi (2024). CaseGNN: graph neural networks for legal case retrieval with text-attributed graphs. 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, United Kingdom, 24 - 28 March 2024. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-56060-6_6
2024
Conference Publication
Balanced and explainable social media analysis for public health with large language models
Jiang, Yan, Qiu, Ruihong, Zhang, Yi and Zhang, Peng-Fei (2024). Balanced and explainable social media analysis for public health with large language models. Databases Theory and Applications: 34th Australasian Database Conference, ADC 2023, Melbourne, VIC, Australia, 1-3 November 2023. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-47843-7_6
2023
Conference Publication
CaT: balanced continual graph learning with graph condensation
Liu, Yilun, Qiu, Ruihong and Huang, Zi (2023). CaT: balanced continual graph learning with graph condensation. 23rd IEEE International Conference on Data Mining (IEEE ICDM), Shanghai, China, 1-4 December 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm58522.2023.00141
2023
Conference Publication
Prompt-based effective input reformulation for legal case retrieval
Tang, Yanran, Qiu, Ruihong and Li, Xue (2023). Prompt-based effective input reformulation for legal case retrieval. 34th Australasian Database Conference, Melbourne, VIC Australia, 1-3 November 2023. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-031-47843-7_7
2023
Conference Publication
Beyond double ascent via recurrent neural tangent kernel in sequential recommendation
Qiu, Ruihong, Huang, Zi and Yin, Hongzhi (2023). Beyond double ascent via recurrent neural tangent kernel in sequential recommendation. 22nd IEEE International Conference on Data Mining (ICDM), Orlando, FL USA, 28 November-1 December 2022. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icdm54844.2022.00053
2022
Other Outputs
Modelling sequential patterns of user behaviour in recommender systems
Qiu, Ruihong (2022). Modelling sequential patterns of user behaviour in recommender systems. PhD Thesis, School of Information Technology and Electrical Engineering, The University of Queensland. doi: 10.14264/09e70dc
2022
Conference Publication
FluMA: An Intelligent Platform for Influenza Monitoring and Analysis
Chen, Xi, Chen, Zhi, Wang, Zijian, Qiu, Ruihong and Luo, Yadan (2022). FluMA: An Intelligent Platform for Influenza Monitoring and Analysis. 33rd Australasian Database Conference (ADC), Sydney, NSW Australia, 2-4 September 2022. Heidelberg, Germany: Springer. doi: 10.1007/978-3-031-15512-3_12
Supervision
Availability
- Dr Ruihong Qiu is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Available projects
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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
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Doctor Philosophy
Towards Privacy-Preserving and Fairness-Aware Federated Recommendation Systems
Principal Advisor
Other advisors: Professor Helen Huang
-
Doctor Philosophy
Fairness in Graph Representation Learning 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
Towards Explainable Multi-source Multivariate Time-series Analysis
Associate Advisor
Other advisors: Associate Professor Jiajun Liu, Associate Professor Sen Wang
-
Doctor Philosophy
Multi-Modal Perception for Context-Aware Systems
Associate Advisor
Other advisors: Professor Helen Huang, Dr Yujun Cai
-
Doctor Philosophy
efficiency oriented multimedia system
Associate Advisor
Other advisors: Professor Helen Huang
-
Doctor Philosophy
Auditing Privacy Policy Compliance of IoT Applications
Associate Advisor
Other advisors: Professor Helen Huang
-
Doctor Philosophy
Data-Driven Crop Breeding: Enhancing Disease Resistance through Vision-based Digital Phenotyping
Associate Advisor
Other advisors: Professor Helen Huang, Associate Professor Sen Wang
-
Doctor Philosophy
Data quality assurance in digitalisation of urban water management
Associate Advisor
Other advisors: Professor Helen Huang, Honorary Professor Zhiguo Yuan, Dr Jiuling Li
Media
Enquiries
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