Projects per year
Personal profile
Biography
Dr Jia Wu is currently an Associate Professor (Professor in North America), and the Research Director for the Centre for Applied Artificial Intelligence at Macquarie University. He is the Director of HDR (Higher Degree Research) and was an ARC DECRA Fellow in the School of Computing at Macquarie University. 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/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 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. He is also the Associate Editor of Neural Networks. Dr Wu is a Senior Member of the IEEE.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Next-Gen Banking: Towards Customized and Personalized Banking Solutions through Generative AI Technologies
Beheshti, A., Wu, J., Zhang, X., Qi, Y., Xue, E. & Alinejad Rokny, H.
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., Beheshti, A., Asadnia, M., Wu, J., Gore, D., Domingo, S. A. & McKnight, B.
1/07/24 → 31/12/25
Project: Research
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DFCRC 24: Graph-Based Anomaly Detection for Financial Fraud Identification: Techniques and Applications
3/06/24 → 2/06/25
Project: Research
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Transformation of Data to Data products for a Trusted Data-Driven Economy: Technology Innovation and Application
Yang, J., Beheshti, A., Wu, J., Zhang, W., Yarom, Y., Huang, Y., Gu, T., Sheng, M., McKenzie, J., Chen, P. & He, D.
24/05/23 → 30/07/27
Project: Research
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DP230100899: New Graph Mining Technologies to Enable Timely Exploration of Social Events
1/01/23 → 31/12/25
Project: Research
Research Outputs
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BiF-AC: a bidirectional feedback actor-critic framework for UAV-UGV graph-based search and rescue operations
Cao, X., Luo, H., Wang, G., Xue, S., Yang, J., Wu, J. & Beheshti, A., 2025, Advanced Data Mining and Applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, proceedings, part III. Sheng, Q. Z., Dobbie, G., Jiang, J., Zhang, X., Zhang, W. E., Manolopoulos, Y., Wu, J., Mansoor, W. & Ma, C. (eds.). Singapore: Springer, Springer Nature, p. 66-81 16 p. (Lecture Notes in Artificial Intelligence; vol. 15389).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Emotion graph augmentation for detecting fake news in online social networks
Su, X., Zhang, Y., Yang, J. & Wu, J., 2025, Advanced Data Mining and Applications: 20th International Conference, ADMA 2024, Sydney, NSW, Australia, December 3–5, 2024, proceedings, part III. Sheng, Q. Z., Dobbie, G., Jiang, J., Zhang, X., Zhang, W. E., Manolopoulos, Y., Wu, J., Mansoor, W. & Ma, C. (eds.). Singapore: Springer, Springer Nature, p. 50-65 16 p. (Lecture Notes in Computer Science; vol. 15389).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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Multiknowledge and LLM-inspired heterogeneous graph neural network for fake news detection
Xie, B., Ma, X., Shan, X., Beheshti, A., Yang, J., Fan, H. & Wu, J., 2025, In: IEEE Transactions on Computational Social Systems. 12, 2, p. 682-694 13 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
State of the art and potentialities of graph-level learning
Yang, Z., Zhang, G., Wu, J., Yang, J., Sheng, Q. Z., Xue, S., Zhou, C., Aggarwal, C., Peng, H., Hu, W., Hancock, E. & Liò, P., Feb 2025, In: ACM Computing Surveys. 57, 2, p. 1-40 40 p., 28.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
A comprehensive survey on automatic knowledge graph construction
Zhong, L., Wu, J., Li, Q., Peng, H. & Wu, X., Apr 2024, In: ACM Computing Surveys. 56, 4, p. 1-62 62 p., 94.Research output: Contribution to journal › Article › peer-review
57 Citations (Scopus)
Prizes
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Best Student Paper Awards for “FRAUDRE: Fraud Detection Dual-Resistant to Graph Inconsistency and Imbalance”
Zhang, Ge (Recipient), Wu, Jia (Recipient), Yang, Jian (Recipient), Beheshti, Amin (Recipient), Xue, Emma (Recipient), Zhou, Chuan (Recipient) & Sheng, Michael (Recipient), 2021
Prize
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IEEE ICDM 2021, Best Paper Award
Zhang, Ge (Recipient), Wu, Jia (Recipient), Yang, Jian (Recipient), Beheshti, Amin (Recipient), Xue, Shan (Recipient), Zhou, Chuan (Recipient) & Sheng, Michael (Recipient), 2021
Prize
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Most Influential IJCAI2020 Paper Award for “Deep learning for community detection: Progress, challenges and opportunities”
Liu, Fanzhen (Recipient), Xue, Emma (Recipient), Wu, Jia (Recipient), Zhou, Chuan (Recipient), Hu, Wenbin (Recipient), Paris, Cecile (Recipient), Nepal, Surya (Recipient), Yang, Jian (Recipient) & Yu, Philip S. (Recipient), 2020
Prize
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Winner - Faculty of Science and Engineering Award for Inter-School Collaboration - 2023
Nayak, Abhaya (Recipient), Mahmood, Adnan (Recipient), Beheshti, Amin (Recipient), McIver, Annabelle (Recipient), Bilgin, Ayse (Recipient), Liquet-Weiland, Benoit (Recipient), Svensson, Carl (Recipient), Ramakrishnan, Charanya (Recipient), Smith, Connor (Recipient), Molla-Aliod, Diego (Recipient), Vatsalan, Dinusha (Recipient), Xue, Emma (Recipient), Gupta, Gaurav (Recipient), Sofronov, Georgy (Recipient), Baker, Greg (Recipient), Liu, Guanfeng (Recipient), Asghar, Hassan (Recipient), Doosti, Hassan (Recipient), Zhu, Houying (Recipient), Jiang, Iris (Recipient), Zheng, James (Recipient), Lin, Huan (Recipient), Wu, Jia (Recipient), Ma, Jun (Recipient), Binkowski, Karol (Recipient), Dras, Mark (Recipient), Manuguerra, Maurizio (Recipient), Orgun, Mehmet (Recipient), Lay, Michael (Recipient), Zou, Nan (Recipient), Kordzakhia, Nino (Recipient), Busch, Peter (Recipient), Graham, Petra (Recipient), Schwitter, Rolf (Recipient), Chen, Shan (Recipient), Smith, Stephen (Recipient), Cassidy, Steve (Recipient), Prvan, Tania (Recipient), Fung, Thomas (Recipient), Li, Yan (Recipient), Wang, Yan (Recipient), Zhang, Yang (Recipient) & Zhou, Yipeng (Recipient), 2023
Prize: Other distinction