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Dr Ruihong Qiu
Dr

Ruihong Qiu

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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.

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

44 works between 2019 and 2026

41 - 44 of 44 works

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

Memory augmented multi-instance contrastive predictive coding for sequential recommendation

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

GAG: global attributed graph neural network for streaming session-based recommendation

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

Exploiting cross-session information for session-based recommendation with graph neural networks

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

Rethinking the item order in session-based recommendation with graph neural networks

Funding

Current funding

  • 2026 - 2027
    Prototyping Safe Agentic Legal Assistant with Trustworthy Reasoning
    Research Donation Generic
    Open grant
  • 2025 - 2028
    Lifelong Paradigms for Versatile, Robust and Agile Recommender Systems
    ARC Discovery Early Career Researcher Award
    Open grant
  • 2023 - 2026
    Responsible modelling respecting privacy, data quality, and green computing
    ARC Discovery Projects
    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

Supervision

Availability

Dr Ruihong Qiu is:
Available for supervision

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Available projects

Supervision history

Current supervision

Completed supervision

Media

Enquiries

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