Jun Zhou

Jun Zhou received the B.S. degree in computer science and the B.E. degree in international business from Nanjing University of Science and Technology, Nanjing, China, in 1996 and 1998, respectively, the M.S. degree in computer science from Concordia University, Montreal, Canada, in 2002, and the Ph.D. degree from the University of Alberta, Edmonton, Canada, in 2006. He joined the School of Information of Communication Technology at Grif?th University, Nathan, Australia June 2012, first as a Lecturer, and then promoted to senior lecturer. Previously, he had been a Research Fellow in the Research School of Computer Science in the Australian National University, Canberra, Australia, and a Researcher in the Canberra Research Laboratory, NICTA, Australia. His research interests include pattern recognition, computer vision, and machine learning with human in the loop, with their applications to spectral imaging and environmental informatics.

Publications

Automatic Estimation of Soil Biochar Quantity via Hyperspectral Imaging
Automatic Estimation of Soil Biochar Quantity via Hyperspectral Imaging
Lei Tong, Jun Zhou, Shahla Hosseini Bai, Chengyuan Xu, Yuntao Qian, Yongsheng Gao, Zhihong Xu. © 2019. 28 pages.
Biochar soil amendment is globally recognized as an emerging approach to mitigate CO2 emissions and increase crop yield. Because the durability and changes of biochar may affect...
A Large Margin Learning Method for Matching Images of Natural Objects With Different Dimensions
A Large Margin Learning Method for Matching Images of Natural Objects With Different Dimensions
Haoyi Zhou, Jun Zhou, Haichuan Yang, Cheng Yan, Xiao Bai, Yunlu Liu. © 2019. 20 pages.
Imaging devices are of increasing use in environmental research requiring an urgent need to deal with such issues as image data, feature matching over different dimensions. Among...
Computer Vision and Pattern Recognition in Environmental Informatics
Computer Vision and Pattern Recognition in Environmental Informatics
Jun Zhou, Xiao Bai, Terry Caelli. © 2016. 407 pages.
Computer Vision and Pattern Recognition (CVPR) together play an important role in the processes involved in environmental informatics due to their pervasive, non-destructive...
Automatic Estimation of Soil Biochar Quantity via Hyperspectral Imaging
Automatic Estimation of Soil Biochar Quantity via Hyperspectral Imaging
Lei Tong, Jun Zhou, Shahla Hosseini Bai, Chengyuan Xu, Yuntao Qian, Yongsheng Gao, Zhihong Xu. © 2016. 28 pages.
Biochar soil amendment is globally recognized as an emerging approach to mitigate CO2 emissions and increase crop yield. Because the durability and changes of biochar may affect...
A Large Margin Learning Method for Matching Images of Natural Objects with Different Dimensions
A Large Margin Learning Method for Matching Images of Natural Objects with Different Dimensions
Haoyi Zhou, Jun Zhou, Haichuan Yang, Cheng Yan, Xiao Bai, Yunlu Liu. © 2016. 19 pages.
Imaging devices are of increasing use in environmental research requiring an urgent need to deal with such issues as image data, feature matching over different dimensions. Among...