Research output per year
Research output per year
Personal profile
Biography
Daokun Zhang is currently a Level B Research Fellow with Department of Data Science & AI, Faculty of Information Technology, Monash University, Australia. Prior to that, he was an Adjunct Lecturer at Monash University Suzhou Campus from April 2021 to August 2022, and he ever worked as a Postdoctoral Research Associate at The University of Sydney Business School from June 2019 to April 2021. In November 2019, Dr. Zhang received his Ph.D degree in data science from the University of Technology Sydney, NSW, Australia.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Data Science, Ph.D degree
Award Date: 12 Nov 2019
Research area keywords
- Network Analysis
- Knowledge Graphs
- Weakly Supervised Learning
- Drug Discovery
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Learning urban region representations with POIs and hierarchical graph infomax
Huang, W., Zhang, D., Mai, G., Guo, X. & Cui, L., Feb 2023, In: ISPRS Journal of Photogrammetry and Remote Sensing. 196, p. 134-145 12 p.Research output: Contribution to journal › Article › Research › peer-review
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Conflict-aware Pseudo Labeling via Optimal Transport for entity alignment
Ding, Q., Zhang, D. & Yin, J., 2022, Proceedings - 22nd IEEE International Conference on Data Mining, ICDM 2022. Zhu, X., Ranka, S., Thai, M. T., Washio, T. & Wu, X. (eds.). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, p. 915-920 6 p. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2022-November).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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Estimating urban functional distributions with semantics preserved POI embedding
Huang, W., Cui, L., Chen, M., Zhang, D. & Yao, Y., 8 Mar 2022, In: International Journal of Geographical Information Science. 36, 10, p. 1905-1930 26 p.Research output: Contribution to journal › Article › Research › peer-review
10 Citations (Scopus) -
Link prediction with contextualized self-supervision
Zhang, D., Yin, J. & Yu, P. S., 22 Aug 2022, (Accepted/In press) In: IEEE Transactions on Knowledge and Data Engineering. 14 p.Research output: Contribution to journal › Article › Research › peer-review
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Towards unsupervised deep graph structure learning
Liu, Y., Zheng, Y., Zhang, D., Chen, H., Peng, H. & Pan, S., 2022, WWW 2022 - Proceedings of the ACM Web Conference 2022. Simperl, E., Agarwal, D. & Gionis, A. (eds.). New York NY USA: Association for Computing Machinery (ACM), p. 1392-1403 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
9 Citations (Scopus)