Projects per year
Personal profile
Biography
Prof Jian Yang is the Director of Research in the School of Computing. 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 have supervised 28 completed PhD students, 8 completed research Masters students as the principal supervisor, and she is currently supervise 6 PhD and 1 Mres students. If you are propestive PhD student and find any of her research areas of interest, please contact her.
External positions
CORE Exective member 2019 -
Research interests
Prof Yang's current interests are: graph mining; trust, influence, 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 member 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.
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Collaborations and top research areas from the last five years
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DataX: MQRC Consilience DataX
Yang, J., Selvadurai, N., Shang, H. & Sowman, P.
23/02/23 → 3/01/28
Project: Other
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DP230100899: New Graph Mining Technologies to Enable Timely Exploration of Social Events
1/01/23 → 31/12/25
Project: Research
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Intelligent Storytelling with Business Data
Beheshti, A., Sheng, M., Wu, J., Yang, J., Zhang, X., Alinejad Rokny, H. & Asghari, P.
3/11/22 → 1/01/27
Project: Research
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Scalable and Extensible Document intelligence Platform
Beheshti, A., Zhang, X., Mans, B., Wu, J., Liu, G., Sheng, M., Yang, J., Asadniaye Fard Jahromi, M., Ghezelbash, D. & Simpson, M.
14/10/22 → 1/01/27
Project: Research
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Intelligent Educational Knowledge Lake
Beheshti, A., Bower, M., Sheng, M., Yang, J. & Asadniaye Fard Jahromi, M.
30/11/20 → 31/10/23
Project: Research
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C-DeepTrust: a context-aware deep trust prediction model in online social networks
Wang, Q., Zhao, W., Yang, J., Wu, J., Xue, S., Xing, Q. & Yu, P. S., Jun 2023, In: IEEE Transactions on Neural Networks and Learning Systems. 34, 6, p. 2767-2780 14 p.Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus) -
Incorporating user rating credibility in recommender systems
Ranjbar Kermany, N., Zhao, W., Batsuuri, T., Yang, J. & Wu, J., Oct 2023, In: Future Generation Computer Systems. 147, p. 30-43 14 p.Research output: Contribution to journal › Article › peer-review
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Introduction to the special issue on advanced graph mining on the web: theory, algorithms, and applications: part 1
Peng, H., Yang, J., Wu, J. & Yu, P. S., Aug 2023, In: ACM Transactions on the Web. 17, 3, p. 1-2 2 p., 14.Research output: Contribution to journal › Editorial › peer-review
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Minimum entropy principle guided graph neural networks
Yang, Z., Zhang, G., Wu, J., Yang, J., Sheng, Q. Z., Peng, H., Li, A., Xue, S. & Su, J., 2023, Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM '23). New York: Association for Computing Machinery (ACM), Vol. 1. p. 114-122 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
2 Citations (Scopus) -
Mining user-aware multi-relations for fake news detection in large scale online social networks
Su, X., Yang, J., Wu, J. & Zhang, Y., 2023, Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining (WSDM '23). New York: Association for Computing Machinery (ACM), Vol. 1. p. 51-59 9 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
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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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