Dr Ruihong Qiu
Dr

Ruihong Qiu

Email: 

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.

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.

Search Professor Ruihong Qiu’s works on UQ eSpace

41 works between 2019 and 2026
All (41) Journal Article (12) Other Outputs (1) Conference Publication (28)

1 - 20 of 41 works

2026

Journal Article

WaterRAG: A Multiagent Retrieval-Augmented Generation Framework to Support Water Industry Transitions to Net-Zero

Zhai, Mudi, Zeng, Qingyun, Qiu, Ruihong, Li, Jiaying, Zhu, Qixiang, Waite, T. David, Ni, Bing-Jie and Duan, Haoran (2026). WaterRAG: A Multiagent Retrieval-Augmented Generation Framework to Support Water Industry Transitions to Net-Zero. Environmental Science & Technology, 60 (15) acs.est.5c15806, 11529-11541. doi: 10.1021/acs.est.5c15806

WaterRAG: A Multiagent Retrieval-Augmented Generation Framework to Support Water Industry Transitions to Net-Zero

2026

Journal Article

LEXA: Legal case retrieval via graph contrastive learning with contextualised LLM embeddings

Tang, Yanran, Qiu, Ruihong, Liu, Yilun, Li, Xue and Huang, Zi (2026). LEXA: Legal case retrieval via graph contrastive learning with contextualised LLM embeddings. World Wide Web, 29 (2) 20. doi: 10.1007/s11280-026-01407-w

LEXA: Legal case retrieval via graph contrastive learning with contextualised LLM embeddings

2026

Conference Publication

Does homophily help in robust test-time node classification?

Jiang, Yan, Qiu, Ruihong and Huang, Zi (2026). Does homophily help in robust test-time node classification?. WSDM '26:The Nineteenth ACM International Conference on Web Search and Data Mining, Boise, ID, United States, 22-26 February 2026. New York, NY, United States: ACM. doi: 10.1145/3773966.3777948

Does homophily help in robust test-time node classification?

2026

Journal Article

A simple model for long-term prediction of sewage flow in a changing climate

Ge, Jingyu, Li, Jiuling, Qiu, Ruihong, Shi, Tao, Wang, Shuting, Huang, Zi and Yuan, Zhiguo (2026). A simple model for long-term prediction of sewage flow in a changing climate. Water Research, 292 125359, 125359. doi: 10.1016/j.watres.2026.125359

A simple model for long-term prediction of sewage flow in a changing climate

2026

Conference Publication

ReaKase-8B: legal case retrieval via knowledge and reasoning representations with LLMs

Tang, Yanran, Qiu, Ruihong, Li, Xue and Huang, Zi (2026). ReaKase-8B: legal case retrieval via knowledge and reasoning representations with LLMs. 36th Australasian Database Conference, ADC 2025, Sydney, NSW, Australia and Bali, Indonesia, 4-6 December 2025. Heidelberg, Germany: Springer. doi: 10.1007/978-981-95-6196-4_22

ReaKase-8B: legal case retrieval via knowledge and reasoning representations with LLMs

2025

Conference Publication

MARCO: a cooperative knowledge transfer framework for personalized cross-domain recommendations

Xie, Lili, Zhang, Yi, Qiu, Ruihong, Liu, Jiajun and Wang, Sen (2025). MARCO: a cooperative knowledge transfer framework for personalized cross-domain recommendations. 2025 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, Xi'an, China, 7-10 December 2025. New York, NY United States: Association for Computing Machinery. doi: 10.1145/3767695.3769481

MARCO: a cooperative knowledge transfer framework for personalized cross-domain recommendations

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, 1-10. doi: 10.1016/j.wroa.2025.100415

Low-cost, data-efficient, on-device soft sensors for sewer flow monitoring—learning from adjacent water level sensors

2025

Conference Publication

GCondenser: benchmarking graph condensation

Liu, Yilun, Qiu, Ruihong and Huang, Zi (2025). GCondenser: benchmarking graph condensation. CIKM '25: The 34th ACM International Conference on Information and Knowledge Management, Seoul, Republic of Korea, 10-14 November 2025. New York, NY, United States: ACM. doi: 10.1145/3746252.3761654

GCondenser: benchmarking graph condensation

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

DARLR: Dual-agent offline reinforcement learning for recommender systems with dynamic reward

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. WWW '25: The ACM Web Conference 2025, Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715862

Graph condensation: foundations, methods and prospects

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. 2025 Web Conference-WWW, Sydney, NSW, Australia, 28 April - 2 May 2025. New York, NY, United States: ACM. doi: 10.1145/3701716.3715174

Exploring the potential of graph neural networks-based methods for general linear programs

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

A low-cost soft sensor for sewer flow monitoring — Learning from water level measurements in manholes

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

PUMA: efficient continual graph learning for node classification with graph condensation

2025

Conference Publication

Beyond static LLM policies: imitation-enhanced reinforcement learning for recommendation

Zhang, Yi, Xie, Lili, Qiu, Ruihong, Liu, Jiajun and Wang, Sen (2025). Beyond static LLM policies: imitation-enhanced reinforcement learning for recommendation. 2025 IEEE International Conference on Data Mining (ICDM), Washington, DC, United States, 12-15 November 2025. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ICDM65498.2025.00098

Beyond static LLM policies: imitation-enhanced reinforcement learning for recommendation

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. ICLR 2025: The Thirteenth International Conference on Learning Representations, Singapore, Singapore, 24-28 April 2025. Singapore, Singapore: International Conference on Learning Representations, ICLR.

GOLD: graph out-of-distribution detection via implicit adversarial latent generation

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

EMIT - event-based masked auto encoding for irregular time series

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

Identifying periods impacted by sewer inflow and infiltration using time series anomaly detection

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

ROLeR: effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems

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

A data-driven method for estimating sewer inflow and infiltration based on temperature and conductivity monitoring

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

CaseLink: inductive graph learning for legal case retrieval

Current funding

  • 2025 - 2028
    Lifelong Paradigms for Versatile, Robust and Agile Recommender Systems
    ARC Discovery Early Career Researcher Award
    Open grant

Past funding

  • 2022 - 2024
    Developing a proof-of-concept self-contact tracing app to support epidemiological investigations and outbreak response (Australia-Korea Joint Call for Joint Research Projects - ATSE Tech Bridge Grant)
    Australian Academy of Technological Sciences and Engineering
    Open grant

Availability

Dr Ruihong Qiu is:
Available for supervision

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Available projects

Supervision history

Current supervision

Completed supervision

Enquiries

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