Projects per year
Personal profile
Biography
Dr Jia Wu is currently the Research Director for the Centre for Applied Artificial Intelligence at Macquarie University. He is the Director of HDR (Higher Degree Research) in the School of Computing at Macquarie University. Dr Wu is an ARC DECRA Fellow and Senior Lecturer (Associate Professor in North America) in the School of Computing at Macquarie University. He was awarded Heidelberg Laureate Forum Fellowship from the Australian Academy of Science in 2019. Dr Wu is the Associate Editor of the ACM Transactions on Knowledge Discovery from Data (TKDD), a top data mining journal.
Dr Wu received his Ph.D. degree in Computer Science from the University of Technology Sydney, Australia. Since 2009, he has published 100+ 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 Programme Committee Chair/Contest Chair/Publicity Chair/(Senior) Programme 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, 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
Projects
- 5 Active
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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 Data Science Pipelines
Beheshti, A., Sheng, M., Wu, J. & Asadniaye Fard Jahromi, M.
2/11/21 → 1/09/24
Project: Research
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MQ Industry LP: Intelligent Risk Assessment for Financial Services
Beheshti, A., Wu, J., Alinejad Rokny, H., Zhang, X., Jolfaei, A., Wood, S., Zhou, C., Bu, D. & Liao, Y.
25/06/21 → 1/07/25
Project: Research
Research Outputs
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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) -
Crime prediction with missing data via spatiotemporal regularized tensor decomposition
Liang, W., Cao, J., Chen, L., Wang, Y., Wu, J., Beheshti, A. & Tang, J., Oct 2023, In: IEEE Transactions on Big Data. 9, 5, p. 1392-1407 16 p.Research output: Contribution to journal › Article › peer-review
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Deep spatial–temporal structure learning for rumor detection on Twitter
Huang, Q., Zhou, C., Wu, J., Liu, L. & Wang, B., Jun 2023, In: Neural Computing and Applications. 35, 18, p. 12995-13005 11 p.Research output: Contribution to journal › Article › peer-review
9 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
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