| Bing Xue |
Bing Xue is a New Zealand computer scientist, and is a full professor at Victoria University of Wellington, specialising in machine learning, artificial intelligence and data visualisation.
Xue earned a Bachelor of Science degree from Henan University of Economics and Law in 2007 followed by a Master of Science from Shenzhen University in 2010.[1] Xue completed a PhD titled Particle Swarm Optimisation for Feature Selection in Classification at Victoria University of Wellington in 2014. Her thesis supervisors were Will Browne and Mengjie Zhang.[2] Xue then joined the faculty of the university, rising to full professor in 2022.[3]
Bing co-led the first undergraduate and postgraduate qualifications in New Zealand on in artificial intelligence.[4] She has been awarded two Marsden grants, Large-scale Evolutionary Feature Selection for Classification in 2016 and Evolutionary Automated Design of Deep Convolutional Neural Networks for Image Classification in 2019.[5] [6] The latter project aimed to improve the design of deep convolutional neural networks by using evolutionary computation-based approaches. Deep convolutional neural networks are used to interpret images in many situations, such as security, self-driving vehicles, and medicine. Improvements to their design would lead to better "classification accuracy, improved speed, simplicity, and interpretability".
She is on the editorial board of the Journal of the Royal Society of New Zealand.[7]
Xue was made a Fellow of Engineering New Zealand in 2023. The citation noted her significant contributions to technical expertise applications and ICT engineering research, including the application of artificial intelligence in engineering. At this point in time Xue had published more than 300 refereed papers and accrued more than 10,000 citations.[8]