Welcome to Feature Analysis, Selection, and Learning in Image and Pattern Recognition (FASLIP)

Research Team

Staff

• Prof Bing Xue (FASLIP Coordinator)
• Prof Mengjie Zhang
• Dr Harith Al-Sahaf
• A/Prof Xiaoying Sharon Gao
• Dr Qi Chen
• Hoai Bach Nguyen
• Dr Andrew Lensen
• Hang Xu
• A/Prof Peter Andreae
• Dr Ruwang Jiao
• Dr Cuie Yang
• Baligh Al-Helali
• Wenbin Pei

Previous Staff/Vistors

• Prof Will Browne
• Dr Dr Yanan Sun
• Dr Binh Tran
• Dr Cao Truong Tran

Visitors

• Dr Anda Li (Visiting Researcher, July 2018 -- Feb 2019)
• Dr Yu Xue (Visiting Researcher, Aug 2016 -- Aug 2017)
• Jiabin Lin (Visiting Researcher, Jan 2019 -- Jan 2020)
• Dr Baolei Li (Visiting Researcher, Jan 2019 -- Jan 2020)
• Dr Jiangshu Wei (Visiting Researcher, Sichuan Agricultural University, China, Nov 2019 to Nov 2020)
• Dr Miao Lu, (Visiting Researcher, Key Laboratory of Agricultural Remote Sensing (AGRIRS), Ministry of Agriculture and Rural Affairs / Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, China, June 2019 -- Dec 2020)
• Ke Chen (Visiting student, Shandong University, China, Dec 2018 -- Dec 2020)
• Bo Peng (Visiting student,North China Electric Power University, Dec 2019 -- Dec 2020)

Current Students

• Ziyi Sun: Evolutionary Computation for Image Analysis, PhD Thesis. 1 Oct 2021, Wellington Doctoral Scholarship.(with Prof Bing Xue and Prof Mengjie Zhang)
• Jordan MacLachlan: Evolutionary Computation for Emergency Medical Services Routing, PhD Thesis. 1 Oct 2021, Wellington Doctoral Scholarship.(with A/Prof Yi Mei, Dr Fangfang Zhang and Prof Mengjie Zhang)
• Dylon Zeng: Evolutionary Computation for Image Analysis, PhD Thesis. 1 Oct 2021, Wellington Doctoral Scholarship. (with Prof Mengjie Zhang, Ivy Liu, and Prof Bing Xue)
• Qinyu Wang: Evolutionary Computation for image analysis, PhD Thesis. 1 Sep 2021, China Scholarship Council. (with Prof Bing Xue and Prof Mengjie Zhang)
• Kaan Demir: Sparsity-based Dimensionality Reduction for Multi-label Classification, PhD Thesis. 1 April 2021, Wellington Doctoral Scholarship. (with Dr Bach Nguyen and Prof Bing Xue)
• Christian Raymond: Meta Learning for Loss Function Learning, PhD Thesis. 1 March 2021, Wellington Doctoral Scholarship. (with Dr Qi Chen and Prof Bing Xue)
• Hayden Andersen: Evolutionary Computation for Creating Human-friendly Explanations, PhD Thesis. 1 March 2021, Wellington Doctoral Scholarship. (with Dr Andrew Lensen, A/Prof Yi Mei, and Prof Will Browne)
• Jiabin Lin: Evolutionary Transfer Learning for Feature Selection in Classification, PhD Thesis. 1 Nov 2020, Wellington Doctoral Scholarship.(with Dr Qi Chen and Prof Bing Xue and Prof Mengjie Zhang)
• Junhao Huang: Evolutionary Design of Deep Convolutional Neural Networks, PhD Thesis. 1 Nov 2020, China Scholarship Council. (with Prof Bing Xue and Prof Mengjie Zhang)
• Gonglin Yuan: Evolutionary Neural Architecture Search for Image Classification, PhD Thesis. 1 July 2020, Wellington Doctoral Scholarship (with Prof Bing Xue and Prof Mengjie Zhang)
• Harisu Shehu: Emotion Detection, PhD Thesis. 1 Nov 2019, Victoria Doctoral Scholarship. (with Prof Will Browne and Dr Hedwig Eisenbarth)
• Peng Wang: Evolutionary Computation for Feature Selection, PhD Thesis. 1 Nov 2019, China Scholarship Council. (with Prof Bing Xue and Prof Mengjie Zhang)
• Qinglan Fan: Evolutionary Computation for Computer Vision, PhD Thesis. 1 Nov 2019, Victoria Doctoral Scholarship. (with Prof Mengjie Zhang and Prof Bing Xue)
• Kosisochukwu Madukwe: Text Mining. PhD Thesis. 1 May 2019.(with Prof Bing Xue and A/Prof Xiaoying Sharon Gao)
• Trevor Londt: Evolutionary Computation and Deep Neural Networks for Text Mining.PhD Thesis. 1 March 2019. Victoria Master Scholarship.(with Prof Bing Xue and A/Prof Xiaoying Sharon Gao)
• Bin Wang: Evolving Deep Neural Networks for Image Classification. PhD Thesis. 1 March 2019. (with Prof Bing Xue and Prof Mengjie Zhang)
• Ramya Anasseriyil Viswambaran: Machine learning for IOT. PhD Thesis. 1 Sep 2018. (with Dr Aaron Chen and Prof Bing Xue)
• Damien O'Neill: Evolving Deep Learning. PhD Thesis. 1 Mar 2018. Victoria Doctoral Scholarship. (with Prof Bing Xue and Prof Mengjie Zhang)

Previous Students

• Baligh Al-Helali: Genetic Programming for symbolic regression, PhD Thesis. 1 Dec 2017. Victoria Doctoral Scholarship. (with Prof Mengjie Zhang and Prof Bing Xue)
• Wenbin Pei: Evolutionary Machine Learning, PhD Thesis. 1 Nov 2017. China Scholarship Council. (with Prof Mengjie Zhang and Prof Bing Xue)
• Trung Nguyen: Learning Classifier System, PhD Thesis. 1 Apr 2017. Victoria Doctoral Scholarship. (with Prof Will Browne and Prof Mengjie Zhang)
• Ying Bi: TBA , PhD Thesis. 1 March 2017, China Scholarship Council. (with Prof Mengjie Zhang and Prof Bing Xue)
• Qurrat Ul Ain: Feature Manipulation using Genetic Programming for Medical Image Classification, PhD Thesis. 1 July 2016. Victoria Doctoral Scholarship. (with Prof Bing Xue and Prof Mengjie Zhang)
• Samantha Azari: Identification of Post-translational Modifications of Proteins from Tandem Mass Spectra Data using Genetic Programming, PhD Thesis. 1 May 2016. Victoria Doctoral Scholarship. (with Prof Mengjie Zhang, Prof Bing Xue, and Dr Lifeng Peng )
• Shima Afzali: Salient Object Detection based on Input Feature Set Improvement, PhD Thesis. 1 April 2016. Victoria Doctoral Scholarship. (with Prof Bing Xue and Prof Mengjie Zhang)
• Benjamin Evans: Genetic programming based ensemble learning for classification, Mar 2018. Victoria Master Scholarship. (with Prof Bing Xue and Prof Mengjie Zhang)
• Andrew Lensen: Evolutionary Computation based Feature Manipulation for Clustering, PhD Thesis. 15 Feb 2016. Victoria Doctoral Scholarship. (with Prof Bing Xue and Prof Mengjie Zhang)
• Yiming Peng: Policy Gradient Method for Reinforcement Learning. PhD Thesis. 1 Sep 2015. (with Dr Aaron Chen and Prof Mengjie Zhang)
• Hoai Bach Nguyen: Evolutionary computation for filter feature reduction in classification. PhD Thesis. 1 April 2015. Victoria Doctoral Scholarship. (with Prof Bing Xue and A/Prof Peter Andreae)
• Cao Truong Tran: Evolutionary computation for classification with missing data. PhD Thesis. 1 September 2014.(with Prof Mengjie Zhang and A/Prof Peter Andreae)
• Binh Tran : Evolutionary computation for feature manipulation in classification on high-dimensional data. PhD Thesis. 1 March 2014. (with Prof Mengjie Zhang and Prof Bing Xue)
• Qi Chen: Genetic programming for symbolic regression. PhD Thesis. 1 Aug 2014. (with Prof Mengjie Zhang and Prof Bing Xue)
• Yuyu Liang: Genetic programming for image segmentation. PhD Thesis. China Scholarship Council. 1 June 2014. (with Prof Mengjie Zhang and Prof Will Browne)
• Martin Mikula: Sentiment analysis, Visting PhD, 1 Aug 2016 (with A/Prof Xiaoying Sharon Gao)