Calculated based on number of publications stored in Pure and citations from Scopus
20152024

Research activity per year

Personal profile

Biography

Dr Shan (Emma) Xue is a Lecturer in Computing. She joined the School of Computing in January 2023. Dr Xue received her PhD in Software Engineering from the University of Technology Sydney in 2019, and her PhD in Information Management and Information System from Shanghai University in 2018. She worked as a Lecturer at University of Wollongong (2022) and did her Postdoc at Macquarie University, jointly supported by CSIRO Data61 (2019-2022).

She is available to supervise PhD and Master by Research students with backgrounds in graph analytics, graph representation, deep learning and business/web intelligence.

Research interests

Dr Xue is an experienced researcher with expertise in deep learning, adaptive artificial intelligence, data mining and knowledge discovery in the complex cyber environment. She has been working closely within university research groups, CSIRO Data61 and Australian industry end-users. Her research outcomes mainly contribute to social network analytics, pattern mining and applicational intelligence. They are published in CORE A* international conferences, such as NeurIPS, IJCAI, WSDM, ICDM, and high-impact refereed journals, such as Pattern Recognition, The VLDB Journal, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Knowledge and Data Engineering (TKDE) and IEEE Transactions on Industrial Informatics (TII). She has been general sessional chair at IJCNN, and SPC/PC member at top international conferences, including AAAI, IJCAI, WWW, WSDM and KDD.

External positions

Researcher, CSIRO

18 Feb 201917 Feb 2022

Fingerprint

Dive into the research topics where Emma Xue is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles

Collaborations and top research areas from the last five years

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or