Personal profile
Biography
Prof Jian Yang is a Co-Director of Data Horizons research Centre and Deputy Director of Applied Artificial Intelligence Research Centre. She received her PhD in Data Integration from The Australian National University in 1995. Before she joined Macquarie University, she worked as an associate professor at Tilburg University, Netherlands (2000-2003), a senior research scientist at the Division of Mathematical and Information Science, CSIRO, Australia (1998-2000), and as a lecturer at Dept of Computer Science, The Australian Defence Force Academy, University of New South Wales (1993-1998).
She has been recognised among the Stanford/Elsevier Top 2% of Scientists worldwide for her career-long impact since the list was first released in 2019.
Research interests
Prof Yang's current interests are: graph mining; trust, fake news detection, recommendation in social media; fraud detection; data fusion, data driven process analytics; service orineted computing; smart city; aging and aged care.
Her research has been supported by various sources: ARC Discovery, ARC Linkage, ARC LIEF, CRCs, Data61 CSIRO CRP, and EU six framework. Recent projects include: trust and spam detection in social media; grand truth discovery in web; fraud detection in finance and insurance; smart city; detection and early prediction for thyroid cancer; data fusion for medical data.
She has published papers in top international journals and conferences such as IEEE TKDE, TNNIS, TSC; ACM TOIS, TWeb; Information Systems, VLDBJ, CACM, VLDB, ICDE, SIGKDD, IJCAI, ICDM, WSDM, NuerIPS, ICDCS, ICSOC, ICWS, CAiSE, CIKM, etc.She is the founding member and steering committee chair of the prime international conference on service oriented computing (ICSOC). She was general chair and program committee chair of several international conferences such as ICSOC and BPM.
External positions
Director of Industry PhD Program, Digital Finance CRC Limited
1 Jul 2023 → …
Executive , The Computing Research and Education Association of Australasia (CORE)
2019 → 2024
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Collaborations and top research areas from the last five years
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Head Agreement (Griffith led): Solving Plastic Waste CRC
Chen, C. (Chief Investigator), Gu, T. (Primary Chief Investigator), Singh, A. (Chief Investigator), Sheng, M. (Chief Investigator), Yang, J. (Chief Investigator), Beheshti, A. (Chief Investigator), Wang, Y. (Chief Investigator), Asadnia, M. (Chief Investigator), Bishop, M. (Chief Investigator), Cain, A. (Chief Investigator), Feih, S. (Chief Investigator), Naebe, M. (Chief Investigator), Giurco, D. (Chief Investigator) & Ball, A. (Chief Investigator)
15/09/24 → 15/09/34
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), Gu, T. (Other), Sheng, M. (Other), Huang, Y. (Chief Investigator), McKenzie, J. (Other), Chen, P. (Other) & He, D. (Other)
24/05/23 → 30/07/27
Project: Research
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MQDRC: MQRC Consilience Macquarie University Data Research Centre
Yang, J. (Primary Chief Investigator), Selvadurai, N. (Primary Chief Investigator), Shang, H. (Primary Chief Investigator) & Sowman, P. (Primary Chief Investigator)
23/02/23 → 3/01/28
Project: Other
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Intelligent Storytelling with Business Data
Beheshti, A. (Primary Chief Investigator), Sheng, M. (Chief Investigator), Wu, J. (Chief Investigator), Yang, J. (Chief Investigator), Zhang, X. (Chief Investigator), Alinejad Rokny, H. (Chief Investigator) & Asghari, P. (Partner Investigator)
3/11/22 → 1/01/27
Project: Research
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Scalable and Extensible Document intelligence Platform
Beheshti, A. (Primary Chief Investigator), Zhang, X. (Chief Investigator), Mans, B. (Chief Investigator), Wu, J. (Chief Investigator), Liu, G. (Chief Investigator), Sheng, M. (Chief Investigator), Yang, J. (Chief Investigator), Asadnia, M. (Chief Investigator), Ghezelbash, D. (Chief Investigator) & Simpson, M. (Other)
14/10/22 → 1/01/27
Project: Research
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Learning from graph-graph relationship: a new perspective on graph-level anomaly detection
Yang, Z., Zhang, G., Wu, J., Yang, J., Peng, H. & Lio, P., Jan 2026, In: IEEE Transactions on Knowledge and Data Engineering. 38, 1, p. 428-441 14 p.Research output: Contribution to journal › Article › peer-review
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Learning subgraph-based normality for interpretable graph-level anomaly detection
Zhang, G., Yang, Z., Wu, J., Jiao, P., Yang, J., Peng, H. & Lin, X., Jan 2026, In: IEEE Transactions on Information Forensics and Security. 21, p. 288-303 16 p.Research output: Contribution to journal › Article › peer-review
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A collaborative service composition approach considering providers' self-interest and minimal service sharing
Wang, X., Xu, H., Yang, J., Xu, X. & Wang, Z., Mar 2025, In: IEEE Transactions on Parallel and Distributed Systems. 36, 3, p. 598-615 18 p.Research output: Contribution to journal › Article › 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)
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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ICPR 2024 Best Student Paper Award
Zhang, Z. (Recipient), Li, L. (Recipient), Zhang, J. (Recipient), Hu, Z. (Recipient), Wang, H. (Recipient), Yan, C. (Recipient), Yang, J. (Recipient) & Qi, Y. (Recipient), 2024
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