Biography

Hello! I am Zhangchi Qiu, a Research Fellow at Griffith University. My research mainly focuses on artificial intelligence and data mining, with particular interests in large language models, knowledge graphs, and recommender systems. I am especially interested in developing knowledge-aware and trustworthy AI systems that support personalised decision-making.

I am a core member of the AI4Health Lab, led by Prof. Alan Wee-Chung Liew, and the TrustAGI Lab, led by Prof. Shirui Pan. Previously, I obtained my PhD in computer science from Griffith University under the supervision of Prof. Alan Wee-Chung Liew, Prof. Shirui Pan, and A/Prof. Hui Tian.

News

• [Paper] Our paper on memory for personalized LLM agents (TransMem) has been accepted to NeurIPS 2026. (Sep., 2026)
• [Paper] Our survey paper on graph-based personalized memory for LLM agents has been accepted to ICKG 2026. (Sep., 2026)
• [Paper] Our paper on knowledge graph-grounded clinical prediction has been accepted to the EMNLP 2026 main conference. (Aug., 2026)
• [Paper] Our latest work on graph foundation models for RAG, G-reasoner: Foundation Models for Unified Reasoning over Graph-structured Knowledge, has been accepted to ICLR 2026. (Jan., 2026)
• [Paper] Our paper on medical knowledge editing, Beyond Memorization: A Rigorous Evaluation Framework for Medical Knowledge Editing, has been accepted to EACL 2026. (Jan., 2026)
• [Patent] We received an Australian patent for our MaskHelper AI technology for AI-based respirator fit testing. (Oct., 2025)
• [Milestone] I am happy to start my new position as a Research Fellow at Griffith University! 🎉 (Sep., 2025)
• [Award] I am honoured to have received the Award of Excellence in Research Thesis. (Sep., 2025)
• [Milestone] I have officially been awarded my Doctor of Philosophy degree. (Sep., 2025)
• [Impact] Our MaskHelper enterprise system has now supported fit testing for 23,551 Queensland Health staff across the state. (Sep., 2025)
• [Paper] Our paper Contrastive Learning for Enhancing Model Selection in Sequential Recommender has been accepted to ICKG 2025. (Sep., 2025)
• [Paper] Our paper Hierarchical Spatial Mamba Framework for Point Cloud Classification has been accepted to ACPR 2025. (Aug., 2025)
• [Paper] Our work on KG + LLM for explainable conversational recommendation, Reasoning over User Preferences: Knowledge Graph-Augmented LLMs for Explainable Conversational Recommendations, has been accepted to ICDM 2025. (Aug., 2025)
• [Paper] Our paper Graph Retrieval-Augmented LLM for Conversational Recommendation Systems has been accepted to PAKDD 2025. (Feb., 2025)
• [Impact] Our MaskHelper system was embedded into Queensland Health’s statewide respiratory-protection program as an enterprise application. (Oct., 2024)
• [Award] Our MaskHelper AI won the Outstanding Contribution to AI Award at the inaugural Queensland AI Awards. (Sep., 2024)
• [Paper] Our paper Knowledge Graphs and Pre-trained Language Models enhanced Representation Learning for Conversational Recommender Systems has been accepted by TNNLS. (Apr., 2024)
• [Impact] Our MaskHelper system reduced respirator fit-testing costs by approximately 50%, delivering more than $2.8 million in documented savings across Queensland Health. (2022)
• [Award] Our MaskHelper project was recognised in the 2022 WorkSafe Queensland Awards. (Oct., 2022)
• [Milestone] I started as a Research Assistant at Griffith University and joined the MaskHelper project, supporting healthcare worker protection during COVID-19. (Aug., 2021)