Wenjie Zhang

Last updated

Wenjie Zhang is a Professor and Head of the Data and Knowledge Research Group within the School of Computer Science and Engineering, the University of New South Wales (UNSW Sydney). Her most notable breakthrough is in the area of optimization strategies to process computationally complex large graphs. Her work is among the first to identify that graph complexity relies only on the small size of the query input and output rather than the size of the whole data graph, which could be a web scale, such as in social media networks. Her recent research focuses on algorithms, indexes, and systems in large scale graphs and their applications especially in social network analysis.

Career, awards and achievements

Zhang received her PhD degree in computer science and engineering in 2009 from UNSW, titled "Efficiently and effectively processing probabilistic queries on uncertain data". [1] In 2011 she won an Australian Research Council (ARC) Early Career Researcher Award.

In 2019, she received the Chris Wallace Award in recognition of her contributions to large-scale graph data processing. [2] The result was a breakthrough, and published in major journals and recognized by both academia and the industry database community. Zhang has been awarded three ARC Discovery grants for this work between 2015-2018 and was recently listed in The Australian as Australia’s Research Field Leader in Databases and Information Systems.

Zhang is an Associate Editor for IEEE Transactions on Knowledge and Data Engineering (TKDE), [3] Chief Investigator of RIIS, an industry and ARC funded research and innovation hub for smart infrastructure [4] and was awarded a prestigious ARC Discovery Future Fellowship in 2021. [5]

Between 2012 and 2022, Zhang has won six rounds of Australian National Competitive Grants, totalling over AUD 2.2M. [6]

She is member of the Data Sharing Committee for ACS, the professional association for Australia's technology sector. [7]

Zhang has participated as Organizing Committee or Program Committee Chair for numerous conferences, including area chair for International Conference on Very Large Data Bases 2022, International Conference on Data Engineering 2019 and International Conference on Information and Knowledge Management 2015, and a Program Chair member for more than 60 international conferences and workshops. [4]

In her career to 2022, she has authored or co-authored over 200 peer reviewed publications in top journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Database Systems, The International Journal on Very Large Data Bases, Special Interest Group on Management of Data and the International Conference on Data Engineering. [8]

Related Research Articles

Information retrieval (IR) in computing and information science is the process of obtaining information system resources that are relevant to an information need from a collection of those resources. Searches can be based on full-text or other content-based indexing. Information retrieval is the science of searching for information in a document, searching for documents themselves, and also searching for the metadata that describes data, and for databases of texts, images or sounds.

<span class="mw-page-title-main">Semantic network</span> Knowledge base that represents semantic relations between concepts in a network

A semantic network, or frame network is a knowledge base that represents semantic relations between concepts in a network. This is often used as a form of knowledge representation. It is a directed or undirected graph consisting of vertices, which represent concepts, and edges, which represent semantic relations between concepts, mapping or connecting semantic fields. A semantic network may be instantiated as, for example, a graph database or a concept map. Typical standardized semantic networks are expressed as semantic triples.

The expression computational intelligence (CI) usually refers to the ability of a computer to learn a specific task from data or experimental observation. Even though it is commonly considered a synonym of soft computing, there is still no commonly accepted definition of computational intelligence.

<span class="mw-page-title-main">David Bader (computer scientist)</span> American computer scientist

David A. Bader is a Distinguished Professor and Director of the Institute for Data Science at the New Jersey Institute of Technology. Previously, he served as the Chair of the Georgia Institute of Technology School of Computational Science & Engineering, where he was also a founding professor, and the executive director of High-Performance Computing at the Georgia Tech College of Computing. In 2007, he was named the first director of the Sony Toshiba IBM Center of Competence for the Cell Processor at Georgia Tech.

Software visualization or software visualisation refers to the visualization of information of and related to software systems—either the architecture of its source code or metrics of their runtime behavior—and their development process by means of static, interactive or animated 2-D or 3-D visual representations of their structure, execution, behavior, and evolution.

Vasant G. Honavar is an Indian-American computer scientist, and artificial intelligence, machine learning, big data, data science, causal inference, knowledge representation, bioinformatics and health informatics researcher and professor.

<span class="mw-page-title-main">UNSW School of Computer Science and Engineering</span>

The UNSW School of Computer Science and Engineering (CSE) is part of the UNSW Faculty of Engineering and was founded in 1991 out of the former Department of Computer Science within the School of Electrical Engineering and Computer Science. It is the highest ranked and largest School of its kind in Australia. The academic staff have research focus in areas such as Artificial Intelligence, Biomedical Image Computing, Data Knowledge, Embedded Systems, Networked Systems and Security, Programming Languages and Compilers, Service Oriented Computing, Theoretical Computer Science and Trustworthy Systems.

AMiner is a free online service used to index, search, and mine big scientific data.

Philip S. Yu is an American computer scientist and professor of information technology at the University of Illinois at Chicago. He is a prolific author, holds over 300 patents, and is known for his work in the field of data mining.

<span class="mw-page-title-main">Shojiro Nishio</span>

Shojiro Nishio is a Japanese information scientist and technology scholar and the 18th president of Osaka University. Having co-authored or co-edited more than 55 books and more than 650 refereed journal or conference papers as well as serving on editorial boards of major information sciences journals, Nishio is considered one of the most prominent and influential researchers on database systems and networks.

<span class="mw-page-title-main">Author name disambiguation</span>

Author name disambiguation is a type of disambiguation and record linkage applied to the names of individual people. The process could, for example, distinguish individuals with the name "John Smith".

<span class="mw-page-title-main">Glossary of artificial intelligence</span> List of definitions of terms and concepts commonly used in the study of artificial intelligence

This glossary of artificial intelligence is a list of definitions of terms and concepts relevant to the study of artificial intelligence, its sub-disciplines, and related fields. Related glossaries include Glossary of computer science, Glossary of robotics, and Glossary of machine vision.

Discovering communities in a network, known as community detection/discovery, is a fundamental problem in network science, which attracted much attention in the past several decades. In recent years, with the tremendous studies on big data, another related but different problem, called community search, which aims to find the most likely community that contains the query node, has attracted great attention from both academic and industry areas. It is a query-dependent variant of the community detection problem. A detailed survey of community search can be found at ref., which reviews all the recent studies

Shih-Fu Chang is a Taiwanese American computer scientist and electrical engineer noted for his research on multimedia information retrieval, computer vision, machine learning, and signal processing.

<span class="mw-page-title-main">Mary-Anne Williams</span>

Mary-Anne Williams FTSE is the Michael J Crouch Chair for Innovation at the University of New South Wales in Sydney Australia (UNSW) based in the UNSW Business School.

<span class="mw-page-title-main">Gautam Das (computer scientist)</span> Indian computer scientist

Gautam Das is a computer scientist in the field of databases research. He is an ACM Fellow and IEEE Fellow.

Wei Wang is a Chinese-born American computer scientist. She is the Leonard Kleinrock Chair Professor in Computer Science and Computational Medicine at University of California, Los Angeles and the director of the Scalable Analytics Institute (ScAi). Her research specializes in big data analytics and modeling, database systems, natural language processing, bioinformatics and computational biology, and computational medicine.

<span class="mw-page-title-main">Matthias Grossglauser</span> Swiss communication engineer

Matthias Grossglauser is a Swiss communication engineer. He is a professor of computer science at EPFL and co-director of the Information and Network Dynamics Laboratory (INDY) at EPFL's School of Computer and Communication Sciences School of Basic Sciences.

Yixin Chen is a computer scientist, academic, and author. He is a professor of computer science and engineering at Washington University in St. Louis.

Jarek Gryz is a computer scientist, data analyst, author, and academic. He is a professor in the Department of Electrical Engineering and Computer Science and a member of the Cognitive Science Program in the Department of Philosophy at York University in Toronto, Canada.

References

  1. Zhang, Wenjie (2010). Efficiently and effectively processing probabilistic queries on uncertain data (Thesis thesis). UNSW Sydney. hdl:1959.4/45473.
  2. "Past Award Recipients". www.core.edu.au. Retrieved 2022-10-21.
  3. "CSDL | IEEE Computer Society". www.computer.org. Retrieved 2022-10-21.
  4. 1 2 "Wenjie Zhang – Resilient and intelligent infrastructure systems". riis.org.au. Retrieved 2022-10-21.
  5. "Research Management System". rms.arc.gov.au. Retrieved 2022-10-21.
  6. "Wenjie Zhang's Homepage". www.cse.unsw.edu.au. Retrieved 2022-10-21.
  7. "Data Sharing Committee". www.acs.org.au. Retrieved 2022-10-21.
  8. "Wenjie Zhang". scholar.google.com.au. Retrieved 2022-10-21.