Jianzhong Qi

Jianzhong Qi is an Associate Professor and ARC Future Fellow in the School of Computing and Information Systems, Faculty of Engineering and Information Technology, at the University of Melbourne. He completed his PhD at the University of Melbourne in 2014, with a thesis entitled 'Towards realtime multiset correlation in large scale geosimulation.' Qi serves as the Graduate Research Coordinator for future students in his school. His research centers on data management, with a focus on developing fundamental algorithms for spatial, temporal, geo-textual, and textual data. This includes advancements in data indexing, query processing, update mechanisms, and the integration of machine learning techniques. His primary research interest is listed as artificial intelligence, with applications in areas such as spatial database systems, graph transformers, and trajectory analysis.

Qi has received significant recognition through Australian Research Council funding, including the ARC Future Fellowship FT240100170 awarded in 2024, as well as Discovery Projects DP240101006 on empowering spatial digital twins with linked spatial data, DP230101534, and earlier grants like DP180103332. These projects address challenges in next-generation database systems, global-scale geographic knowledge bases, and fair graph processing. His influential publications demonstrate substantial impact in the field. Notable works include 'GMAN: A Graph Multi-Attention Network for Traffic Prediction' (AAAI Conference on Artificial Intelligence, 2020), 'Entity Alignment between Knowledge Graphs Using Attribute Embeddings' (AAAI, 2019), 'Effectively Learning Spatial Indices' (Proceedings of the VLDB Endowment, 2020), 'Top-k Most Influential Locations Selection' (CIKM, 2011), 'FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning' (2023), 'Federated Learning with Fair Averaging' (2021), and 'Trajectory Similarity Measurement: An Efficiency Perspective' (VLDB, 2024). Qi contributes to the academic community by co-organizing the 2026 KDExLLM Workshop at ICDE in Montréal and the STxFM Workshop at MDM in Athens, focusing on knowledge distillation with large language models and spatio-temporal data with foundation models. His research enhances scalable and efficient data processing for real-world applications in AI and databases.

Professional Email: jianzhong.qi@unimelb.edu.au