Research output per year
Research output per year
Personal profile
Biography
Dr Fanzhen Liu is a Postdoctoral Research Fellow in the School of Computing, Macquarie University, Australia, where he received his PhD in 2024. His current research interests include graph mining, anomaly detection, trustworthy AI/ML, and social network analysis. Dr Liu has contributed to notable publications in esteemed venues in data science and artificial intelligence, including VLDBJ, IEEE TKDE, IEEE TNNLS, KDD, ICDM, and IJCAI.
External positions
Visiting Scientist, CSIRO’s Data61
18 Mar 2024 → …
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Collaborations and top research areas from the last five years
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A comprehensive survey on community detection with deep learning
Su, X., Xue, S., Liu, F., Wu, J., Yang, J., Zhou, C., Hu, W., Paris, C., Nepal, S., Jin, D., Sheng, Q. Z. & Yu, P. S., Apr 2024, In: IEEE Transactions on Neural Networks and Learning Systems. 35, 4, p. 4682-4702 21 p.Research output: Contribution to journal › Article › peer-review
193 Citations (Scopus) -
Graph anomaly detection with few labels: a data-centric approach
Ma, X., Li, R., Liu, F., Ding, K., Yang, J. & Wu, J., 2024, KDD '24: proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. New York: Association for Computing Machinery, p. 2153–2164 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile113 Downloads (Pure) -
DAGAD: Data Augmentation for Graph Anomaly Detection
Liu, F., Ma, X., Wu, J., Yang, J., Xue, S., Beheshti, A., Zhou, C., Peng, H., Sheng, Q. Z. & Aggarwal, C. C., 2022, 22nd IEEE International Conference on Data Mining ICDM 2022: proceedings. Zhu, X., Ranka, S., Thai, M. T., Washio, T. & Wu, X. (eds.). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), p. 259-268 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
24 Citations (Scopus) -
eRiskCom: an e-commerce risky community detection platform
Liu, F., Li, Z., Wang, B., Wu, J., Yang, J., Huang, J., Zhang, Y., Wang, W., Xue, S., Nepal, S. & Sheng, Q. Z., Sept 2022, In: VLDB Journal. 31, 5, p. 1085-1101 17 p.Research output: Contribution to journal › Article › peer-review
15 Citations (Scopus) -
Deep learning for community detection: progress, challenges and opportunities
Liu, F., Xue, S., Wu, J., Zhou, C., Hu, W., Paris, C., Nepal, S., Yang, J. & Yu, P. S., 2020, Proceedings of the 29th International Joint Conference on Artificial Intelligence, IJCAI 2020. Bessiere, C. (ed.). California: International Joint Conferences on Artificial Intelligence, p. 4981-4987 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2021-January).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open Access145 Citations (Scopus)
Prizes
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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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Executive Dean's Commendation for Academic Excellence in Year 2 Master of Research
Liu, Fanzhen (Recipient), 2020
Prize: Honorary award
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Vice-Chancellor’s Commendation for Academic Excellence
Liu, Fanzhen (Recipient), Oct 2024
Prize: Honorary award