Curriculum Vitae Jun Zhou School of Information and Communication Technology Phone: +61 7 3735 5015 Nathan Campus Mobile: +61 4 02697704 Griffith University [email protected]Nathan, Queensland 4111 Australia http://www.ict.griffith.edu.au/~junzhou/ RESEARCH AREAS Hyperspectral imaging, Image Processing, Pattern Recognition, Environmental Informatics EDUCATION 11/2006 Ph.D. in Computing Science University of Alberta, Edmonton, Canada 05/2002 M.S. in Computer Science Concordia University, Montreal, Canada 07/1998 B.E. in International Business Nanjing University of Science & Technology, Nanjing, P.R. China 07/1996 B.S. in Computer Science Nanjing University of Science & Technology, Nanjing, P.R. China WORKING EXPERIENCES Since 01/2015 Senior Lecturer (continuing) School of Information and Communication Technology, Griffith University, Nathan, Australia 06/2012 ~ 10/2016 Adjunct visiting fellow Research School of Computer Science (RSCS), the Australian National University (ANU), Canberra, Australia 06/2012 ~ 12/2014 Lecturer/ARC DECRA Fellow School of Information and Communication Technology, Griffith University, Nathan, Australia 08/2011 ~ 06/2012 Research Fellow Research School of Computer Science, the Australian National University, Canberra, Australia 09/2011 ~ 09/2014 Visiting Scientist CSIRO Mathematics, Informatics and Statistics, Canberra, Australia 08/2007 ~ 04/2012 Researcher/Visitor Canberra Laboratory, NICTA, Canberra, Australia 08/2007 ~ 05/2011 Adjunct Lecturer College of Engineering and Computer Science (CECS), the Australian National University, Canberra, Australia 07/2009 ~ 06/2011 Conjoint Lecturer
19
Embed
Curriculum Vitae Jun Zhou - Griffithjunzhou/junzhou_CV.pdf · 2018-06-25 · Griffith University Research Infrastructure Program, $50,000. 2012 ~ 2015 Jun Zhou, Interactive Computer
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Curriculum Vitae
Jun Zhou
School of Information and Communication Technology Phone: +61 7 3735 5015
1. Jun Zhou, Xiao Bai, and Terry Caelli. Computer Vision and Pattern Recognition in
Environmental Informatics, IGI Global, 2015.
Book Chapter
1. Lei Tong, Jun Zhou, Shahla Hosseini Bai, Chengyuan Xu, Yuntao Qian, Yongsheng Gao, and
Zhihong Xu, “Automatic estimation of soil biochar quantity via hyperspectral imaging,” in
Computer Vision and Pattern Recognition in Environmental Informatics, Edited by Jun Zhou,
Xiao Bai, and Terry Caelli, pages 220-247, IGI Global, 2015.
2. Haoyi Zhou, Jun Zhou, Haichuan Yang, Cheng Yan, Xiao Bai, and Yunlu Liu. “A large margin
learning method for matching images of natural objects with different dimensions,” in Computer
Vision and Pattern Recognition in Environmental Informatics, Edited by Jun Zhou, Xiao Bai, and
Terry Caelli, pages 323-341, IGI Global, 2015.
3. Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, and Jun Zhou. “Affine invariant
hyperspectral image descriptors based upon harmonic analysis,” in Machine Vision Beyond the Visible Spectrum, Edited by Riad Hammoud, Guoliang Fan, Robert McMillan, and Katsushi
1. Suhad Lateef Al-Khafaji, Jun Zhou and Alan Wee-Chung Liew, “An Efficient Method for
Boundary Detection from Hyperspectral Imagery”, accepted by the International Workshop on Structural and Syntactic Pattern Recognition (SSPR'18), 2018.
2. Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, and Yongsheng Gao. “Triplet constrained
deep feature extraction for hyperspectral image classification”, Accepted by the IEEE Workshop
on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS’18),
Amsterdam, The Netherlands, 2018.
3. Kun Qian, Jun Zhou, Fengchao Xiong, and Huixin Zhou. “Object tracking in hyperspectral
videos with convolutional features and kernelized correlation filter”, Accepted by the
International Conference on Smart Multimedia (ICSM’18), Toulon, France, 2018.
4. Shenghui Rong, Yongsheng Gao, Xun Yu, Huixin Zhou and Jun Zhou. “An efficient line
segment matching algorithm for 3D face recognition”, Accepted by the International Conference on Pattern Recognition (ICPR’18), Beijing, China, 2018.
5. Fengchao Xiong, Yuntao Qian, and Jun Zhou, “Hyperspectral imagery denoising via reweighed
sparse low-rank nonnegative tensor factorization”, Accepted by the IEEE International
Conference on Image Processing (ICIP’18), Athens, Greece, 2018.
6. Lei Zhou, Xiao Bai, Xianglong Liu and Jun Zhou. “Binary coding by matrix classifier for
effective subspace retrieval", Accepted by the ACM International Conference on Multimedia Retrieval (ICMR’18), Yokohama, Japan, 2018.
7. Fengchao Xiong, Jingzhou Chen, Yuntao Qian, and Jun Zhou. “Superpixel-based nonnegative
tensor factorization for hyperspectral unmixing”, Proceedings of the IEEE International
8. Haifeng Zhao, Jun Zhou, Yanyang Gu, Chee Meng Benjamin Ho, Say Hwa Tan, and
Yongsheng Gao. “Real-Time computing for droplet detection and recognition”. Accepted by the IEEE International Conference on Real-time Computing and Robotics (IEEE RCAR’18),
Kandima, Maldives, 2018.
9. Xiao Bai, Yuan Tian and Jun Zhou. “Semi-supervised product quantization for approximate
nearest neighbor search”, Accepted by the International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI’18), Montreal, Canada, 2018.
10. Suhad Lateef Al-khafaji, Jun Zhou, Ali Zia, and Alan Wee-Chung Liew. “Spectral-spatial
boundary detection in hyperspectral images”, Accepted by the International Conference on
Digital Image Computing: Techniques and Applications (DICTA’17), Sydney, Australia, 2017.
11. Fahim Irfan Alam, Jun Zhou, Lei Tong, and Alan Wee-Chung Liew. “Combining unmixing and
deep feature learning for hyperspectral image classification”, Accepted by the International Conference on Digital Image Computing: Techniques and Applications (DICTA’17), Sydney,
Australia, 2017.
12. Mohammad Awrangjeb, David Jonas, and Jun Zhou. “An automatic technique for power line
pylon detection from point cloud data”, Accepted by the 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA'17), Sydney, Australia, 2017.
13. Fan Xu, Xiao Bai, and Jun Zhou. “Non-local similarity based tensor decomposition for
hyperspectral image denoising”, Accepted by the IEEE International Conference on Image
Processing (ICIP'17), Beijing, China, 2017.
14. Yuan Tian, Cheng Yan, Xiao Bai, and Jun Zhou. “Heterogeneous face recognition via
Grassmannian based nearest subspace search”, Accepted by the IEEE International Conference on Image Processing (ICIP'17), Beijing, China, 2017.
15. Yanyang Gu, Jun Zhou, and Bin Qian. “Melanoma detection based on Mahalanobis distance
learning and constrained graph regularized nonnegative matrix factorization”, Proceedings of the
IEEE Winter Conference on Applications of Computer Vision (WACV'17), Santa Rosa, USA
2017.
16. Chen Wang, Yun Liu, Xiao Bai, Wenzhong Tang, Peng Lei, and Jun Zhou. “Deep residual
convolutional neural network for hyperspectral image super-resolution”, Proceedings of the 9th
International Conference on Image and Graphics (ICIG'17), pages 370–380, 2017.
17. Cheng Yan, Xiao Bai, Jun Zhou, and Yun Liu. “Hierarchical hashing for image retrieval”,
Proceedings of the Chinese Conference on Computer Vision (CCCV’17), pages 111-125, Tian Jin,
China, 2017.
18. Xun Yu, Yongsheng Gao, and Jun Zhou. “Boosting radial strings for 3D face recognition with
expressions and occlusions”, Proceedings of the International Conference on Digital Image
21. Yanzhen Liu, Xiao Bai, Cheng Yan, and Jun Zhou. “Bilinear discriminant analysis hashing: a
supervised hashing approach for high-dimensional dataset”, Proceedings of the Asian Conference
on Computer Vision (ACCV’16), 2016.
22. Xun Yu, Yongsheng Gao, and Jun Zhou. “3D face recognition under partial occlusions using
radial strings”, Proceedings of the IEEE International Conference on Image Processing
(ICIP’16), pages 2016-2020, Phoenix, USA, 2016.
23. Jie Liang, Jun Zhou, and Yongsheng Gao. “Tensor morphological profile for hyperspectral
image classification”, Proceedings of the IEEE International Conference on Image Processing (ICIP’16), pages 2197-2201, Phoenix, USA, 2016.
24. Xue Li, Jun Zhou, Lei Tong, Jian Guo, and Chunxia Zhao. “Structured discriminative
nonnegative matrix factorization for hyperspectral unmixing”, Proceedings of the IEEE
International Conference on Image Processing (ICIP’16), pages 1848-1852, Phoenix, USA,
2016.
25. Bin Qian, Jun Zhou, Lei Tong, Xiaobo Shen, and Fan Liu. “Nonnegative matrix factorization
with endmember sparse graph learning for hyperspectral unmixing”, Proceedings of the IEEE
International Conference on Image Processing (ICIP’16), pages 1843-1847, USA, 2016.
26. Yu Tang, Enlong Fan, Cheng Yan, Xiao Bai, and Jun Zhou. “Discriminative weighted band
selection via one-class SVM for hyperspectral imagery”, Proceedings of the IEEE International Geoscience & Remote Sensing Symposium (IGARSS'16), pages 2765-2768, China, 2016.
27. Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew, and Xiuping Jia. “CRF learning with
CNN features for hyperspectral image segmentation”, Proceedings of the IEEE International
38. Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, and Lu Bai. “Semi-randomized
hashing for large scale data retrieval,” Accepted by the International Conference on Data
Science and Advanced Analytics (DSAA'14), Shanghai, China, 2014.
39. Haichuan Yang, Xiao Bai, Jun Zhou, Peng Ren, Jian Cheng, and Zhihong Zhang. “Adaptive
object retrieval with kernel reconstructive hashing,” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR'14), pages 1955-1962, Columbus, Ohio, 2014.
40. Xun Yu, Yongsheng Gao, and Jun Zhou. “Face recognition using 3D directional corner points,”
Proceedings of the 22nd International Conference on Pattern Recognition (ICPR'14), pages
2802-2807, Stockholm, Sweden, 2014.
41. Danping Liao, Yuntao Qian, and Jun Zhou. “Visualization of hyperspectral imaging data based
on manifold alignment,” Proceedings of the 22nd International Conference on Pattern Recognition (ICPR'14), pages 70-75, Stockholm, Sweden, 2014.
42. Zhichun Fu, Peter Christen, and Jun Zhou. “A graph matching method for historical census
household linkage,” Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery
and Data Mining (PAKDD’14), pages 485-496, Taiwan, 2014.
43. Jie Liang, Ali Zia, Jun Zhou and Xavier Sirault. “3D plant modelling via hyperspectral
imaging,” Proceedings of the ICCV Workshop on Computer Vision for Accelerated Bioscience,
Sydney, Australia, 2013.
44. Lei Tong, Jun Zhou, Chengyuan Xu, Yuntao Qian, and Yongsheng Gao. “Soil biochar
quantification via hyperspectral unmixing,” Proceedings of the Digital Image Computing:
Techniques and Applications (DICTA'13), pages 1-8, Hobart, Australia, 2013.
45. Doug Brown, Yongsheng Gao, and Jun Zhou. “Learning discriminative local patterns with
unrestricted structure for face recognition,” Proceedings of the Digital Image Computing:
Techniques and Applications (DICTA'13), pages 1-7, Hobart, Australia, 2013.
46. Xun Yu, Yongsheng Gao, and Jun Zhou. “A 3D polygonal line chains matching method for
face recognition,” Proceedings of the Digital Image Computing: Techniques and Applications
(DICTA'13), pages 1-6, Hobart, Australia, 2013.
47. Jie Liang, Jun Zhou, Xiao Bai, and Yuntao Qian. “Salient object detection in hyperspectral
imagery,” Proceedings of the IEEE International Conference on Image Processing (ICIP'13),
pages 2393-2397, Melbourne, Australia, 2013.
48. Haichuan Yang, Xiao Bai, and Jun Zhou. “Label propagation hashing based on p-stable
distribution and coordinate descent,” Proceedings of the IEEE International Conference on
52. Zhouxiao Guo, Haichuan Yang, Xiao Bai, Zhihong Zhang and Jun Zhou. “Semi-supervised
hyperspectral band selection via sparse linear regression and hypergraph models,” Proceedings of the IEEE International Geoscience & Remote Sensing Symposium (IGARSS’13), pages 1474-
1477, Melbourne, Australia, 2013.
53. Chuntian Liu, Wei Wei, Xiao Bai, and Jun Zhou. “Marginalized kernel-based feature fusion
method for VHR object classification,” Proceedings of the IEEE International Geoscience & Remote Sensing Symposium (IGARSS’13), pages 216-219, Melbourne, Australia, 2013.
54. Gaurav Mitra, Beau Johnston, Alistair Rendell, Eric McCreath, Jun Zhou. “Use of SIMD vector
operations to accelerate application code performance on low-powered ARM and Intel platforms,”
Proceedings of the Third International Workshop on Accelerators and Hybrid Exascale Systems,
pages 1107-1116, Boston, 2013.
55. Zhichun Fu, Jun Zhou, Furong Peng and Peter Christen. “A bag reconstruction method for
multiple instance classification and group record linkage,” Proceedings of the 8th International
Conference on Advanced Data Mining and Applications (ADMA'12), pages 247-259, Nanjing,
China, 2012.
56. Huigang Zhang, Junxiu Wang, Xiao Bai, Jun Zhou, Jian Cheng, and Huijie Zhao. “Object
detection via foreground contour feature selection and part-based shape model,” Proceedings of
the 21st International Conference on Pattern Recognition (ICPR’12), pages 2524-2527, Tsukuba
Science City, Japan, 2012.
57. Huigang Zhang, Xiao Bai, Jian Cheng, Jun Zhou, and Huijie Zhao. “An incremental structured
part model for image classification,” Proceedings of the 14th International Workshop on
58. Huixin Zhou, Xiaoxue Niu, Hanlin Qin, Jun Zhou, Rui Lai, and Bingjian Wang. “Shearlet
transform based anomaly detection for hyperspectral image,” Proceedings of the 6th SPIE
International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT’12), Xiamen, China, 2012.
59. Huixin Zhou, Shenghui Rong, Hanlin Qin, Rui Lai and Jun Zhou. “Anomaly detection
algorithm based on nonsubsampled pyramid decomposition and kernel unsharp masking for
hyperspectral image,” Proceedings of the 2012 International Conference on Industrial Control and Electronics Engineering (ICICEE’12), pp. 1320-1323, Xi’an, China, 2012.
60. Zhichun Fu, Jun Zhou, Peter Christen, and Mac Boots. “Multiple instance learning for group
record linkage,” Proceedings of the 16th Pacific-Asia Conference on Knowledge Discovery and
Data Mining (PAKDD’12), pages 171-182, Kuala Lumpur, Malaysia, 2012.
61. Haifeng Zhao, Antonio Robles-Kelly, and Jun Zhou. “On the use of the Chi-squared distance
for the structured learning of graph embeddings,” Proceedings of the Digital Image Computing: Techniques and Applications (DICTA’11), pages 422-428, Noosa, Australia, 2011.
62. Lin Gu, Cong Huyhn, Antonio Robles-Kelly, and Jun Zhou. “Material-specific user colour
profiles from imaging spectroscopy data,” Proceedings of the 13th International Conference on
63. Yuntao Qian, Jun Zhou, Minchao Ye, Qi Wang. “Structured sparse model based feature
selection and classification for Hyperspectral imagery,” Proceedings of the IEEE International Geoscience & Remote Sensing Symposium (IGARSS’11), pages 1771-1774, Sendai, Japan, 2011.
64. Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly, Jun Zhou. “Object of interest detection by
saliency learning,” Proceedings of the 11th European Conference on Computer Vision
(ECCV'10), pages 636-649, Crete, Greece, 2010.
65. Yuntao Qian, Sen Jia, Jun Zhou, and Antonio Robles-Kelly. “L1/2 sparsity constrained
nonnegative matrix factorization for hyperspectral unmixing,” Proceedings of Digital Image Computing: Techniques and Applications (DICTA'10), pages 447-453, Sydney, Australia, 2010.
66. Mahmudul Hasan, Antonio Robles-Kelly, Jun Zhou, Xiuping Jia, and Mark R. Pickering.
“Registration of hyperspectral and trichromatic images via cross cumulative residual entropy
maximisation,” Proceedings of the 2010 International Conference on Image Processing (ICIP'10), pages 2329-2332, Hongkong, 2010.
67. Jun Zhou and Antonio Robles-Kelly. “Image inpainting based on local optimisation,”
Proceedings of the 20th International Conference on Pattern Recognition (ICPR’10), pages
4440-4443, Istanbul, Turke, 2010.
68. Haifeng Zhao, Jun Zhou and Antonio Robles-Kelly. “A structured learning approach to
attributed graph embedding,” Proceedings of the 13th International Workshop on Structural and
69. Mahmudul Hasan, Xiuping Jia, Antonio Robles-Kelly, Jun Zhou, and Mark R. Pickering.
“Multi-spectral remote sensing image registration via spatial relationship analysis on SIFT
keypoints,” Proceedings of the IEEE International Geoscience & Remote Sensing Symposium (IGARSS’10), pages 1011-1014, 2010.
70. Jun Zhou, Zhouyu Fu, and Antonio Robles-kelly. “Learning the optimal transformation of
salient features for image classification,” Proceedings of the Digital Image Computing:
Techniques and Applications (DICTA'09), pages 125-131, 2009.
71. Haifeng Zhao, Jun Zhou, Antonio Robles-Kelly, Jianfeng Lu, Jing-Yu Yang, “Automatic
detection of defective zebrafish embryos via shape analysis,” Proceedings of the Digital Image Computing: Techniques and Applications (DICTA’09), pages 431-438, 2009.
72. Quang Nguyen, Antonio Robles-Kelly, and Jun Zhou, “A graph embedding approach to feature
combination for object tracking,” Proceedings of The Ninth Asian Conference on Computer
Vision (ACCV’09), pages 224-235, 2009.
73. Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly and Jun Zhou, “An affine invariant
hyperspectral texture descriptor based upon heavy-tailed distributions and Fourier analysis,”
Proceedings of the IEEE Workshop on Object Classification and Tracking Beyond the Visible
Spectrum (OCTBVS’09), pages 112-119, 2009. (Best Paper Award)
74. Pattaraporn Khuwuthyakorn, Antonio Robles-Kelly and Jun Zhou. “Texture descriptors via
stable distributions,” Proceedings of the Digital Image Computing: Techniques and Applications (DICTA'08), pages 214-219, Canberra, Australia, December 1-3, 2008.
75. Jyun-Hao Huang, Ali Zia, Jun Zhou, and Antonio Robles-Kelly. “Content-based image retrieval
via subspace-projected salient features,” Proceedings of the Digital Image Computing:
Techniques and Applications (DICTA'08), pages 593-399, Canberra, Australia, December 1-3,
2008.
76. Jun Zhou and Antonio Robles-Kelly. “A quasi-random sampling approach to image retrieval,”
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR’08),
pages 1-8, Anchorage, AK, June 23-28, 2008.
77. Jun Zhou, Li Cheng, and Walter F. Bischof. “Prediction and change detection in sequential data
for interactive applications,” Proceedings of The 23rd AAAI Conference on Artificial Intelligence (AAAI’08), pages 805-810, Chicago, IL, July 13-17, 2008.
78. Jun Zhou, Li Cheng, Terry Caelli, and Walter F. Bischof. “Influence of human inputs on semi-
automatic image interpretation,” Proceedings of The 12th International Conference on Human-
79. Jun Zhou, Walter F. Bischof, and Arturo Sanchez-Azofeifa. “Extracting lines in noisy image
using directional information,” Proceedings of the 18th International Conference on Pattern Recognition (ICPR’06), pages 215-218, Hong Kong, China, August 21-24, 2006.
80. Jun Zhou, Li Cheng, and Walter F. Bischof. “A novel learning approach for semiautomatic road
tracking,” Proceedings of the 4th International Workshop on Pattern Recognition in Remote
Sensing (PRRS’06), pages 61-64, Hong Kong, China, August 20, 2006.
81. Jun Zhou, Walter F. Bischof, and Terry Caelli. “Robust and efficient road tracking in aerial
images,” Proceedings of the Joint Workshop of ISPRS and DAGM on Object Extraction for 3D City Models, Road Databases and Traffic Monitoring - Concepts, Algorithms and Evaluation
(CMRT’05), pages 35-40, Vienna, Austria, August 29-30, 2005.
82. Jun Zhou, Walter F. Bischof, and Terry Caelli. “Human-computer interaction in map revision
systems,” Proceedings of the 11th International Conference on Human-Computer Interaction (HCII’05), Volume 3, Las Vegas, Nevada, July 22-27 2005.
83. Jun Zhou, Walter F. Bischof, and Terry Caelli. “Understanding human-computer interactions in
map revision,” Proceedings of the 10th International Workshop on Structural and Syntactic
84. Jun Zhou, Ching Y. Suen, and Ke Liu. “A feedback-based approach for segmenting
handwritten legal amounts on bank cheques,” Proceedings of the 6th International Conference on Document Analysis and Recognition (ICDAR'01), pages 887-891, Seattle, Washington, 2001.
Patent
85. Antonio Robles-Kelly, Pattaraporn Khuwuthyakorn, Jun Zhou, “Descriptor of a hyperspectral
or multispectral image,” US Patent No. 8639038, 2011.
PROFESSIONAL ACTIVITIES
Professional Services
Publicity Chair, International Conference on Smart Multimedia, Toulon, Cote D’Azur, France,