Projects per year
Personal profile
Biography
Dr Jia Wu is currently a Professor, ARC Future Fellow, and Research Director for the Centre for Applied Artificial Intelligence at Macquarie University. He also serves as the Director of HDR (Higher Degree by Research) and was previously an ARC DECRA Fellow in the School of Computing at Macquarie University. Dr Wu has made significant and influential contributions to the field of data mining, earning major national and international recognition. He was named Australia’s Top Researcher in Databases and Information Systems by The 2025 Australian Research Magazine, selected as a Clarivate Highly Cited Researcher (top 0.1% globally, 2024), and awarded the 2025 CORE Outstanding Research Contribution Award (known prior to 2023 as the Chris Wallace Award), the annual award given to ONLY one computer science researcher across Australia and New Zealand. He was awarded the Heidelberg Laureate Forum Fellowship from the Australian Academy of Science in 2019. Dr Wu is the Associate Editor of the IEEE Transactions on Neural Networks and Learning Systems (TNNLS), a top AI journal, and the ACM Transactions on Knowledge Discovery from Data (TKDD), a top data mining journal.
Dr Wu received his PhD degree in Computer Science from the University of Technology Sydney, Australia. Since 2009, he has published 200+ refereed journal and conference papers, including IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Multimedia (TMM), IEEE Transactions on Industrial Informatics (TII), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), International Joint Conference on Artificial Intelligence (IJCAI), AAAI Conference on Artificial Intelligence (AAAI), ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), IEEE International Conference on Data Mining (ICDM), The Web Conference (WWW), and Neural Information Processing Systems (NeurIPS).
Dr Wu has been serving as the ECR Mentoring Program Chair/Program Committee Chair/DEMO Chair/Research Track Chair/Symposium Chair/Tutorial Chair/Applied Track Chair/Contest Chair/Publicity Chair/Area Chair/(Senior) Program Committees for the prestigious data mining and artificial intelligence conferences for over 10 years, such as KDD, ICDM, WSDM, IJCAI, AAAI, WWW, NIPS, CIKM, SDM, etc. His research team was the recipient of the ADMA'24 Best Paper Award, CIKM'22 Best Paper Runner-Up Award and Best Paper Award Honorable Mention, ICDM'21 Best Student Paper Award, SDM'18 Best Paper Award in Data Science Track, IJCNN'17 Best Student Paper Award, and ICDM'14 Best Paper Candidate Award. Dr Wu is a Senior Member of the IEEE.
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Collaborations and top research areas from the last five years
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Mitigating Generative Artificial Intelligence Deepfake Threats in Identity and Access Management Systems
Wu, J. (Primary Chief Investigator) & Beheshti, A. (Chief Investigator)
1/09/24 → 31/08/28
Project: Research
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Next-Gen Banking: Towards Customized and Personalized Banking Solutions through Generative AI Technologies
Beheshti, A. (Primary Chief Investigator), Wu, J. (Chief Investigator), Zhang, X. (Chief Investigator), Qi, Y. (Chief Investigator), Xue, E. (Chief Investigator) & Alinejad Rokny, H. (Chief Investigator)
1/07/24 → 30/06/28
Project: Research
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MQRAS 24: Enhancing Natural Disaster Response Networks with Advanced Graph-based Rescue Simulation
Xue, E. (Primary Chief Investigator), Beheshti, A. (Chief Investigator), Asadnia, M. (Chief Investigator), Wu, J. (Chief Investigator), Gore, D. (Chief Investigator), Domingo, S. A. (Partner Investigator) & McKnight, B. (Partner Investigator)
1/07/24 → 31/12/25
Project: Research
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Transformation of Data to Data products for a Trusted Data-Driven Economy: Technology Innovation and Application
Yang, J. (Primary Chief Investigator), Beheshti, A. (Chief Investigator), Wu, J. (Chief Investigator), Zhang, W. (Chief Investigator), Yarom, Y. (Chief Investigator), Huang, Y. (Chief Investigator), Gu, T. (Other), Sheng, M. (Other), McKenzie, J. (Other), Chen, P. (Other) & He, D. (Other)
24/05/23 → 30/07/27
Project: Research
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DP230100899: New Graph Mining Technologies to Enable Timely Exploration of Social Events
Wu, J. (Primary Chief Investigator) & Yang, J. (Chief Investigator)
1/01/23 → 31/12/25
Project: Research
Research Outputs
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A comprehensive survey on deep clustering: taxonomy, challenges, and future directions
Zhou, S., Xu, H., Zheng, Z., Chen, J., Li, Z., Bu, J., Wu, J., Wang, X., Zhu, W. & Ester, M., Mar 2025, In: ACM Computing Surveys. 57, 3, p. 1-38 38 p., 69.Research output: Contribution to journal › Article › peer-review
29 Citations (Scopus) -
Advanced Data Mining and Applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, proceedings, part II
Z. Sheng, Q. (Editor), Dobbie, G. (Editor), Jiang, J. (Editor), Zhang, X. (Editor), Zhang, W. E. (Editor), Manolopoulos, Y. (Editor), Wu, J. (Editor), Mansoor, W. (Editor) & Ma, C. (Editor), 2025, Singapore: Springer, Springer Nature. 432 p. (Lecture Notes in Computer Science; vol. 15388)Research output: Book/Report › Edited Book/Anthology › peer-review
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Adversarial attacks against automated fact-checking: A survey
Liu, F., Abuadbba, A., Moore, K., Nepal, S., Paris, C., Wu, J., Yang, J. & Sheng, Q. Z., Nov 2025, EMNLP 2025: Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing. Christodoulopoulos, C., Chakraborty, T., Rose, C. & Peng, V. (eds.). Kerrville, TX: Association for Computational Linguistics (ACL), p. 22979–23001 23 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open Access -
A multiagent-based framework on RoboCup simulation system for enhancing rescue operation during dynamic disaster environments
Lyu, Q., Cao, X., Yu, Y., Xue, S., Yang, J., Wu, J. & Beheshti, A., 2025, WWW Companion '25: Companion proceedings of the ACM Web Conference 2025. New York: Association for Computing Machinery, p. 1180-1183 4 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile29 Downloads (Pure) -
A unified hypergraph framework for inter and intra-session dynamics in session-based social recommendations
Khan, B., Wu, J., Yang, J., Hayat, M. K. & Xue, S., 2 May 2025, (E-pub ahead of print) In: IEEE Transactions on Big Data. 16 p.Research output: Contribution to journal › Article › peer-review
2 Citations (Scopus)
Prizes
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Best Student Paper Awards for “FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance”
Zhang, G. (Recipient), Wu, J. (Recipient), Yang, J. (Recipient), Beheshti, A. (Recipient), Xue, E. (Recipient), Zhou, C. (Recipient) & Sheng, M. (Recipient), 2021
Prize
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IEEE ICDM 2021, Best Paper Award
Zhang, G. (Recipient), Wu, J. (Recipient), Yang, J. (Recipient), Beheshti, A. (Recipient), Xue, S. (Recipient), Zhou, C. (Recipient) & Sheng, M. (Recipient), 2021
Prize
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Most Influential IJCAI2020 Paper Award for “Deep learning for community detection: Progress, challenges and opportunities”
Liu, F. (Recipient), Xue, E. (Recipient), Wu, J. (Recipient), Zhou, C. (Recipient), Hu, W. (Recipient), Paris, C. (Recipient), Nepal, S. (Recipient), Yang, J. (Recipient) & Yu, P. S. (Recipient), 2020
Prize
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Winner - Faculty of Science and Engineering Award for Inter-School Collaboration - 2023
Nayak, A. (Recipient), Mahmood, A. (Recipient), Beheshti, A. (Recipient), McIver, A. (Recipient), Bilgin, A. (Recipient), Liquet-Weiland, B. (Recipient), Svensson, C. (Recipient), Ramakrishnan, C. (Recipient), Smith, C. (Recipient), Molla-Aliod, D. (Recipient), Vatsalan, D. (Recipient), Xue, E. (Recipient), Gupta, G. (Recipient), Sofronov, G. (Recipient), Baker, G. (Recipient), Liu, G. (Recipient), Asghar, H. (Recipient), Doosti, H. (Recipient), Zhu, H. (Recipient), Jiang, I. (Recipient), Zheng, J. (Recipient), Lin, H. (Recipient), Wu, J. (Recipient), Ma, J. (Recipient), Binkowski, K. (Recipient), Dras, M. (Recipient), Manuguerra, M. (Recipient), Orgun, M. (Recipient), Lay, M. (Recipient), Zou, N. (Recipient), Kordzakhia, N. (Recipient), Busch, P. (Recipient), Graham, P. (Recipient), Schwitter, R. (Recipient), Chen, S. (Recipient), Smith, S. (Recipient), Cassidy, S. (Recipient), Prvan, T. (Recipient), Fung, T. (Recipient), Li, Y. (Recipient), Wang, Y. (Recipient), Zhang, Y. (Recipient) & Zhou, Y. (Recipient), 2023
Prize: Other distinction