Rate My Professor Jia Wu

Professor Jia Wu is a Full Professor in the School of Computing at Macquarie University, where he also holds the position of ARC Future Fellow (Level 3, 2026-2030) for the project 'Next-Generation Graph-Level Mining for High-Complexity Data Environments' funded by $1,173,569, Research Director for the Centre for Applied Artificial Intelligence, and Director of Higher Degree Research in the School of Computing. He earned his PhD in Computer Science from the University of Technology Sydney. Previously, Wu was an ARC DECRA Fellow in the School of Computing. His research specializes in data mining and artificial intelligence, encompassing graph mining, graph neural networks, knowledge graphs, recommendation systems, social networks, time series analysis, deep learning, graph search, multi-objective optimisation, anomaly detection, and brain graph analysis. Since 2009, he has published over 200 refereed journal and conference papers in leading venues including IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Multimedia, IEEE Transactions on Industrial Informatics, IEEE Transactions on Neural Networks and Learning Systems, International Joint Conference on Artificial Intelligence, AAAI Conference on Artificial Intelligence, ACM SIGKDD Conference on Knowledge Discovery and Data Mining, IEEE International Conference on Data Mining, The Web Conference, and Neural Information Processing Systems.