Professor Bing Xue
Professor of Artifical Intelligence;
Deputy Head of School, School of Engineering and Computer Science (SECS),
Deputy Director, Center for Data Science and Artificial Intelligence (CDSAI),
Victoria University of Wellington (VUW)
Email: Bing.Xue@ecs.vuw.ac.nz or Bing.Xue@vuw.ac.nz
Phone: +64 4 463 5542
Fax: +64 4 463 5045
Address: Rm CO352, School of Engineering and Computer Science,
Victoria University of Wellington,
PO Box 600,
Wellington 6140,
New Zealand
Research Interests
My main research lies in Artificial Intelligence, Machine Learning, Data Mining, Computer Visions and their applications.
- Evolutionary Computation, Genetic Programming
- Explainable AI and Interpretable Machine Learning
- Feature Selection, Feature Construction, Feature Extraction, Dimension Reduction
- Transfer Learning, Domain Adaptation, Multi-task Learning
- Evolutionary Multi-objective Optimisation/Learning
- Evolutionary Deep Learning, Evolving Deep Neural Netrowks
- Symbolic Regression, Classification, Image Analysis, Clustering, Pattern Recognition
Recent and Coming Events
- Post-Doc Research Fellow on Evolutionary Machine Learning
- PhD Sholarships: students (GPA of A- or above) with publications can apply for the following scholarships:
PhD Admission and Scholarships Applications; Victoria PhD scholarship (for PhD candidates already enrolled at, or with an offer of study from VUW). (Closing dates each year: 1 March, 1 November, 1 July, for both domestic and international students)
- VUW and China Scholarship Council PhD Scholarships: (For Chinese Students Only). Successful students will get 48 months of stipend from China Scholarship Council and VUW will cover the tuition fees up to 48 months. An overview and process can be seen from Program Overview. (Closing date: 1 Feb, 1 November Every year)
Biography
Bing Xue received the BSc degree in 2007 from Henan University of Economics and Law, and MSc degree in 2010 from Shenzhen University, China. Bing received her PhD degree in 2014 at Victoria University of Wellington, New Zealand. She is currently a Professor in Computer Science at Victoria University of Wellington, New Zealand. Her research focuses mainly on evolutionary computation, feature selection, feature construction, dimension reduction, multi-objective optimisation, symbolic regression, image processing, transfer learning, data mining and machine learning.
Page top Back to Home