Researcher

Professor Wenjie Zhang

My Expertise

Real-time and Intelligent Big Data Analytics

Keywords

Fields of Research (FoR)

Data management and data science

Biography

Wenjie Zhang is a Professor, ARC Future Fellow and Deputy Head of School (Research) in the School of Computer Science and Engineering, the University of New South Wales, Australia. Her research interests include spatial-temporal data analysis, uncertain data analysis and graph data processing. Since 2008, she has published more than 100 papers in top venues such as TKDE, TODS, VLDBJ, SIGMOD, VLDB, and ICDE. In 2011, she received the Australian...view more

Wenjie Zhang is a Professor, ARC Future Fellow and Deputy Head of School (Research) in the School of Computer Science and Engineering, the University of New South Wales, Australia. Her research interests include spatial-temporal data analysis, uncertain data analysis and graph data processing. Since 2008, she has published more than 100 papers in top venues such as TKDE, TODS, VLDBJ, SIGMOD, VLDB, and ICDE. In 2011, she received the Australian Research Council Discovery Early Career Researcher Award. In 2019, she received the prestigious Chris Wallace Award for her significant contributions to large-scale graph data processing. Since 2012, her research has been well supported by 7 Australian Research Council grants and several other UNSW and industry funding, totally over $2.8 million. Wenjie is an Associate Editor for IEEE Transactions on Knowledge and Data Engineering. 

Mutiple PhD scholarships available. Send me an email with your CV if you would like to pursue PhD degree in the area of large-scale dynamic data (a.k.a, Big Data) processing. 


My Grants

- 2021-2025 Australian Research Council Future Fellowship (FT210100303): Efficient and Scalable Processing of Dynamic Heterogeneous Graphs, $1,085,000, Wenjie Zhang. 

- 2021 - 2025 CRC-P: Underground mine LoRa network for monitoring/control/backup/rescue/robotics, $2M from CRC and total project value $5.008M. Led by Dr. Binghao Li. I am a CI.

- 2021 - 2026 Australian Research Council Industry Transformation Research Hub for Resilient and Intelligent Infrastructure Systems in Urban, Resources and Energy Sectors,$4.99M. Led by Prof. Nasser Khalili. I am a CI. 

- 2021 - 2023 Australian Research Council Discovery Project (DP210101393): Efficient and Scalable Similarity Query Processing on Big Streaming Graphs, $510,000, Ying Zhang and Wenjie Zhang.

- 2020 - 2022 Australian Research Council Discovery Project (DP200101116): Cohesive Subgraph Discovery on Big Bipartite Graphs, $430,000, Wenjie Zhang. 

- 2018 - 2020 Australian Research Council Discovery Project (DP180103096): Efficient Processing of Large Scale Multi-dimensional Graphs, $407,974, Xuemin Lin, Wenjie Zhang and Ying Zhang.

- 2015 - 2017 Australian Research Council Discovery Project (DP150103071): Continuous Loyalty-based Similarity Queries over Moving Objects, $266, 300, Wenjie Zhang and Lei Chen.

- 2015 - 2017 Australian Research Council Discovery Project (DP150102728): Efficiently Processing Pattern-based Structure Queries over Large Graphs, $397, 500, Xuemin Lin and Wenjie Zhang.

- 2012 - 2014 Australian Research Council Discovery Early Career Researcher Award (DE120102144): Continuously Monitoring Uncertain Objects in a Multi-dimensional Space, $375, 000, Wenjie Zhang.

- 2012 - 2014 Australian Research Council Discovery Project (DP120104168): Ranking Complex Objects in a Multi-dimensional Space, $350, 000, Xuemin Lin and Wenjie Zhang.


My Awards

- 2021 Australian Research Council Future Fellowship (FT3). 

- 2021 ACM SIGMOD Research Highlight Award: The SIGMOD Research Highlight Award showcases research projects that exemplify core database research. In particular, “the project must address an important problem, represent a definitive milestone in solving the problem, and have the potential of significant impact.” 

- 2020 ACM SIGMOD One of the Best Papers: The extended version of the paper was invited to publish in the special issue of "Best of SIGMOD" in ACM Transactions on Database Systems (TODS). A concise version was invited to publish in the ACM SIGMOD Record.

- 2020 Best Paper Award in the 25th International Conference on Database Systems for Advanced Applications (DASFAA 2020). 

- 2020 Best Student Paper Award in The 13th International Conference on Knowledge Science, Engineering and Management (KSEM 2020). 

- 2019 CORE Chris Wallace Award for Outstanding Research Contribution in the field of Computer Science (for my research contribution in Large-scale Graph Data Processing): The prize was awarded to an academic for post-PhD research undertaken within a university or research institution in Australia or New Zealand. The research should include a notable breakthrough or a contribution of particular significance.

- 2019 One of the Best Papers in the 2tth International Conference on Database Systems for Advanced Applications (DASFAA 2019). 

- 2013 One of the Best Papers in the 29th IEEE International Conference on Data Engineering (ICDE 2013). The extended version of the paper was invited to publish in the speical issue of "Best of ICDE" in IEEE Transactions on Knowledge and Data Engineering. 

- 2013 Best Paper Award in the 14th International Conference on Web Information Systems Engineering WISE 2013. 

- 2012 One of the Best Papers in the 28th IEEE International Conference on Data Engineering (ICDE 2012). The extended version of the paper was invited to publish in the speical issue of "Best of ICDE" in IEEE Transactions on Knowledge and Data Engineering. 

- 2012 One of the Best Papers in  the 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012). 

- 2012 Best Student Paper Award in  the 17th International Conference on Database Systems for Advanced Applications (DASFAA 2012). 

- 2012 Australian Research Council Early Career Researcher Award (DECRA). 

- 2010 One of the Best Papers in the 26th IEEE International Conference on Data Engineering (ICDE 2010). The extended version of the paper was invited to publish in the speical issue of "Best of ICDE" in IEEE Transactions on Knowledge and Data Engineering. 

- 2010 Best Paper Award in  the 21st Australasian Database Conference (ADC 2010). 

- 2009 Best Paper Award in the Joint International Conference APWeb/WAIM 2009. 


My Research Supervision


Supervision keywords


Areas of supervision

  • Graph Data Processing: cohesive subgraph computation, social network analysis, attributed graph, spatial-social network, bipartite graphs, heterogeneous information network
  • Spatial Data Processing: spatial keyword search, spatial-social data processing 
  • AI / Machine Learning for Large-scale Data Analytics: AI4DB, ML4DB

Currently supervising

I am currently supervising 12 PhD students and 4 MPhil student, and have supervised 13 PhD students to completion. Multiple PhD positions available with full support of tuition fee and living stipend. Please send me a copy of your CV if you are interested in doing PhD with me. Currently undergraduate and master by course students of UNSW are welcome to discuss with me if you are interested in research degrees of either PhD or Master by Research / Master of Philosophy.

Some topics include: 

Graph Data Processing: graph is a powerful model to captures objects as well as the relationships / connections among them, and is a commonly used tool in many different areas including world wide web, social networks, biology networks, protein interaction networks, traffic networks, etc. My research in this area focuses on supporting structure based queries over large scale graphs and cover various graph types including multi-dimensional graphs, attributed graphs, bipartite graphs, and heterogeneous information network. 

Spatial Data Processing: the widely available positioning devices foster a rich amount of multi-dimensional spatial data. My research in this area focuses on spatial keyword search and spatial-social data processing. 

AI / Machine Learning Techniques for Large-scale Data Analytics and Processing: to apply machine learning techniques to improve efficiency and effectiveness in managing large-scale data. 

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Location

Contact

+61 2 9385 7799