Emma Xue

Postdoctoral Researcher, Department of Computing
Academic Casual, Department of Computing

https://orcid.org/0000-0002-9123-5133

Emailemma.xue@mq.edu.au

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

Biography

Data Science

Graph Analysis

Business Intelligence

Machine Learning

External positions

Researcher, CSIRO

18 Feb 2019 → …

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.

6 Similar Profiles

Network

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

375 Citations
5 h-Index
8 Conference proceeding contribution
8 Article
1 Review article

Attention deep residual networks for MR image analysis
Mei, M., He, F. & Xue, S., 16 Jun 2020, In: Neural Computing and Applications. 10 p.
Research output: Contribution to journal › Article › peer-review
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 Access
20 Citations (Scopus)
Detecting the evolving community structure in dynamic social networks
Liu, F., Wu, J., Xue, S., Zhou, C., Yang, J. & Sheng, Q., Mar 2020, In: World Wide Web. 23, 2, p. 715-733 19 p.
Research output: Contribution to journal › Article › peer-review
5 Citations (Scopus)
ForeXGBoost: passenger car sales prediction based on XGBoost
Xia, Z., Xue, S., Wu, L., Sun, J., Chen, Y. & Zhang, R., Sep 2020, In: Distributed and Parallel Databases. 38, 3, p. 713-738 26 p.
Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)
Microcluster-based incremental ensemble learning for noisy, nonstationary data streams
Liu, S., Xue, S., Liu, F., Cheng, J., Li, X., Kong, C. & Wu, J., 2020, In: Complexity. 2020, 12 p., 6147378.
Research output: Contribution to journal › Article › peer-review

Open Access
File

Biography

External positions

Attention deep residual networks for MR image analysis

Deep learning for community detection: progress, challenges and opportunities

Detecting the evolving community structure in dynamic social networks

ForeXGBoost: passenger car sales prediction based on XGBoost

Microcluster-based incremental ensemble learning for noisy, nonstationary data streams