Zetao Chen | PhD Candidate | School of Electronic Engineering and Computer Science
Faculty of Built Environment and Engineering | Queensland University of Technology
Gardens Point, S Block 1107 | 2 George Street, Brisbane, QLD 4000
phone: + 61 4 78891008 | email: email@example.com
11/2012 – now PhD Candidate in Robotics
Queensland University of Technology
09/2010 - 09/2012: Research Master with distinction In Artificial Intelligence
University of Groningen (Netherlands)
Thesis Topic: Supervised Feature Selection Based on Generalized Matrix Learning Vector Quantization
09/2005 - 07/2009: Bachelor with honours in Information Engineering
South China University of Technology
Brain-Based Sensor Fusion for Navigating Robots
Associate Supervisor: Prof. Peter Corke .
Complete Publication Lists
Adam Jacobson, Zetao Chen and Michael Milford, “Autonomous Multi-Sensor Calibration and Closed Loop Fusion for SLAM”, (Second revision,under review) Journal of Field Robotics (JFR).
Xutao Li, Zetao Chen, Shouyong Wang, “An Approximate Representation of Heavy-tailed Noise: Bi-parameter Cauchy-Gaussian Mixture Model”, in 9th International Conference on Signal Processing, 2008.
Yi-li Chen, Lian-wen Jin+, Zetao Chen, Xu-tao Li, Chu-jia Huang, Zhen-hua Feng, “A New Method for Facial Beauty Assessment”, in Chinese Conference on Pattern Recognition 2008.
Zetao Chen, Lian-wen Jin, Xu-tao Li, Yi-li Chen, Chu-jia Huang,Zhen-hua Feng, “Facial Feature Contour Extraction Using Improved Snake Model” (Chinese Paper), in the 2009 International Forum on Information Technology and Application.
Adam Jacobson, Zetao Chen and Michael Milford, “Autonomous Movement-Driven Place Recognition Calibration for Generic Multi-Sensor Robot Platforms”, (Accepted) in 2013 Intelligent Robots and Systems conference (IROS 2013).
Zetao Chen, Adam Jacobson, Ugur M. Erdem, Michael E. Hasselmo and Michael Milford, “Bio-inspired Place Recognition over Multiple Spatial Scales ”,(Accepted), Australia Conference on Robotics and Automation, 2013.
Zetao Chen, Adam Jacobson, Ugur M. Erdem, Michael E. Hasselmo, and Michael Milford, “Multi-scale Bio-inspired Place Recognition”, (under review) International Conference on Robotics and Automation (ICRA), 2014.