Curriculum Vitae

Jun Zhou

School of Information and Communication Technology Phone: +61 7 3735 5015

Nathan Campus Mobile: +61 4 02697704

Griffith University jun.zhou@griffith.edu.au

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

School of Engineering & Information Technology, ADFA Campus,

University of New South Wales, Canberra, Australia

10/2006 ~ 08/2007 Consultant/Research Scientist

Intetech Consulting Inc., Edmonton, Canada

09/2002 ~ 10/2006 Research Assistant

Department of Computing Science, University of Alberta, Edmonton,

Canada

09/1999 ~ 08/2002 Research Assistant

Centre for Pattern Recognition and Machine Intelligence,

Concordia University, Montreal, Canada

TEACHING

2017 Software Technologies (2810ICT), Griffith

2016 Modelling and Animation Techniques in Interactive Environment (2601ICT),

Griffith

2015 Modelling and Animation Techniques in Interactive Environment (2601ICT),

Griffith

1st Semester, 2013 Business Informatics (1008ICT), Griffith

1st Semester, 2012 High Performance Scientific Computing (COMP3320/6464), CECS, ANU

10/2011 Lectures on Introduction to Computer Vision, NJUST

1st Semester, 2008 Computer Vision and Image Understanding: Theories and Research

(ENGN8530), CECS, ANU

2st Semester, 2008 Project course: Artificial Intelligence (COMP8740)

Project course: Human Centred Computing (COMP8780), CECS, ANU

STUDENT STUDENT SUPERVISION

Current

Iman Tahmasbian Griffith, thesis submitted in 2018, co-supervisor

Gouglas Brown 4th year PhD student, Griffith, co-supervisor

Ali Zia 4th year PhD student, Griffith, primary supervisor

Fahim Irfan Alam 4th year PhD student, Griffith, primary supervisor

Yanyang Gu 4th year PhD student, Griffith, primary supervisor

Suhad L. Al-khafaji 4th year PhD student, Griffith, primary supervisor

Yue Li 4th year PhD student, Griffith, co-supervisor

Miaohua Zhang 4th year PhD student, Griffith, co-supervisor

Farah Jahan 3rd year PhD student, Griffith, primary supervisor

Jing Wang 3rd year PhD student, Griffith, primary supervisor

Fereshteh Nayyeri 3rd year PhD student, Griffith, primary supervisor

Lee Hamilton 2nd year PhD student, Griffith, primary supervisor

Muhammad Daud Asif 2nd year PhD student, Griffith, co-supervisor

Tian Hu 2nd year PhD student, Griffith, co-supervisor

Nikzad Dehaji,Mohammad 1st year PhD student, Griffith, co-supervisor

Alumni

Dr. Xun Yu Griffith, 2017, co-supervisor

Dr. Jie Liang ANU, 2016, primary supervisor

Dr. Lei Tong Griffith, 2016, primary supervisor

Dr. Yu-chang Li Griffith, 2015, primary supervisor

Dr Gaurav Mitra ANU, 2015, co-supervisor

Dr. Mahmudul Hasan UNSW, 2014, co-supervisor

Dr. Lin Gu ANU, 2013, co-supervisor

Dr. Pattaraporn Khuwuthyakorn ANU, 2012, primary supervisor.

Dr. Haifeng Zhao NJUST, 2012, co-supervisor

Dr. Cong Phuoc Huynh ANU, 2011, co-supervisor

Dr. Quang Nguyen ANU, 2010, co-supervisor

Jyun-hao Huang Master’s student, ANU, 2008

Ali Zia Master’s student, ANU, 2008

Lee Hamilton Honour student, Griffith, 2015

Anqi Mao Honour student, ANU, 2012

He Chen Honour student, ANU, 2012

Xuefei Chen Honour student, ANU, 2012

Shouheng Li Honour Student, ANU, 2011

FUNDING, AWARDS AND SCHOLARSHIPS

2018 Yongsheng Gao, Dr. Jun Zhou, Rebecca Ford, Jin-Song Dong, Nam-Trung

Nguyen, Andrew Busch, Kuldip Paliwal, Yaoqi Zhou, Abdul Sattar, Andrew

Lewis, Jarrod Trevathan, Alan Wee-Chung Liew, Kaile Su, Hong Guan, Jun

Jo, Junhu Wang, Mohammad Awrangjeb, Zhihong Xu. Deep Learning

Model Development Facility for Industrial Transformation Research &

Teaching. Griffith Sciences Group Equipment Fund, $100,000.

2017 Jun Zhou, Yongsheng Gao, Say Hwa Tan, Zhihong Xu, Bela Stantic, Hong

Guan, Jun Jo, Alan Wee-Chung Liew. Real-time Visible to Near-Infrared Hyperspectral Imaging System. Griffith Sciences Group Equipment Fund,

$105,000.

2017 Say Hwa Tan and Jun Zhou. A Microfluidic Platform for Intracellular Delivery. Griffith University and Peking University Collaborative Research

Scheme, $10,000.

2016 Jun Zhou. Early Screening of Skin Cancer Using Hyperspectral Imaging

Techniques. Industrial Collaboration Project, Griffith University, $4,000.

2015-2018 Yongsheng Gao, Andrew Busch, and Jun Zhou. Precise Recognition for Automated Harvesting and Grading of Strawberries. Linkage Project,

LP150100658, Australian Research Council. $406,000.

2013 Jun Zhou, Yongsheng Gao, Zhihong Xu, and Chengyuan Xu. An Infrared

Camera for Hyperspectral Imaging and Environmental Informatics. Griffith

University Research Infrastructure Program, $50,000.

2012 ~ 2015 Jun Zhou, Interactive Computer Vision for Image Interpretation, Discovery

Early Career Researcher Award, DE120102948, Australian Research

Council. $375,000.

2012 Jun Zhou, New Researcher Grant, Griffith University, $11,000.

2012 Jun Zhou, Hongdong Li, Jon Kim, and Richard Hartley. Hyperspectral Imaging Systems for Close range Sensing and Computer Vision. Major

Equipment Grant, Australian National University, $50,000.

2010 ~ 2011 Antonio Robles-Kelly and Jun Zhou. Graph-based Representations of Remotely Sensed Data for Geoindexing Applications, International Science

Linkages (ISL) funding, Department of Innovation Industry, Sciences and

Research, Australian Government. $85,000.

2005~2006 Province of Alberta Graduate Fellowship, University of Alberta, Canada

2002~2004 NSERC Postgraduate Scholarship B, NSERC, Canada

2002~2004 iCORE Graduate Student Scholarships, iCORE, Canada

2002~2004 Walter H. Johns Graduate Fellowship, University of Alberta, Canada

2002~2003 Faculty of Science Graduate Scholarship, University of Alberta, Canada

2000~2001 Quebec Chinese Student High Tuition Fee Remission Scholarship, Ministry

of Education, China

2000 Partial Graduate Tuition Scholarship, Concordia University, Canada

PUBLICATIONS

Book

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

Ikeuchi, Springer, 2011.

Peer-reviewed Journals

1. Iman Tahmasbiana, Zhihong Xu, Sue Boyd, Jun Zhou, Roya Esmaeilani, Rongxiao Che, Shahla

Hosseini Bai, “Laboratory-based hyperspectral image analysis for predicting soil carbon,

nitrogen and their isotopic compositions”, accepted by Geoderma, 2018.

2. Iman Tahmasbiana, Shahla Hosseini Bai, Yuzhe Wang, Sue Boyd, Jun Zhou, Roya Esmaeilani,

Zhihong Xu, “Using laboratory-based hyperspectral imaging method to determine carbon

functional group distributions in decomposing forest litterfall”, Catena, Vol. 167, pages 18-27,

2018.

3. Xiao Bai, Fan Xu, Lei Zhou, Yan Xing, Lu Bai and Jun Zhou, “Nonlocal Similarity Based

Nonnegative Tucker Decomposition for Hyperspectral Image Denoising,” IEEE Journal of

Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 11, No. 3, pages 701-

712, 2018.

4. Jie Liang, Jun Zhou, Lei Tong, Xiao Bai, and Bin Wang. “Material based salient object

detection from hyperspectral images,” Pattern Recognition, Vol. 76, Pages 476-490, 2018.

5. Suhad Lateef Al-khafaji, Jun Zhou, Ali Zia, Alan Wee-Chung Liew. “Spectral-spatial scale

invariant feature transform for hyperspectral images”, IEEE Transactions on Image Processing,

Vol. 27, No. 2, pages 837-850, 2018.

6. Xiao Bai, Cheng Yan, Haichuan Yang, Lu Bai, Jun Zhou, Edwin Robert Hancock. “Adaptive

hash retrieval with kernel based similarity”, Pattern Recognition, Vol. 75, pages 136-148, 2018.

7. Heng-Dong Xi, Hao Zheng, Wei Guo, Alfonso M Ganan-Calvo, Ai Ye, Chia-Wen Tsao, Jun

Zhou, Wei-Hua Li, Yan-Yi Huang, Nam-Trung Nguyen, and Say- Hwa Tan. “Active droplet

sorting in microfluidics: a review,” Lab on a Chip, Vol. 17, No. 5, pages 751-771, 2017.

8. Xun Yu, Yongsheng Gao, and Jun Zhou. “Sparse 3D directional vertices vs continuous 3D

curves: efficient 3D surface matching and its application for single model face recognition,”

Pattern Recognition, Vol. 65, pages 296-306, 2017.

9. Yuntao Qian, Fengchao Xiong, Shan Zeng, Jun Zhou, and Yuanyan Tang. “Matrix-vector

nonnegative tensor factorization for blind unmixing of hyperspectral imagery,” IEEE

Transactions on Geoscience and Remote Sensing, Vol. 55, No. 3, pages 1776-1792, 2017.

10. Minchao Ye, Yuntao Qian, Jun Zhou, and Yuanyan Tang. “Dictionary learning based feature

level domain adaptation for cross-scene hyperspectral image classification,” IEEE Transactions

on Geoscience and Remote Sensing, Vol. 55, No. 3, pages 1544-1562, 2017.

11. Iman Tahmasbian, Zhihong Xu, Kadum Abdullah, Jun Zhou, Roya Esmaeilani, Thi Thu Nhan

Nguyen, and Shahla Hosseini Bai. “The potential of hyperspectral images and partial least square

regression for predicting total carbon, total nitrogen and their isotope composition in forest

litterfall samples,” Journal of Soils and Sediments, Vol. 17, No. 8, pages 2091-2103, 2017.

12. Jie Liang, Jun Zhou, Yuntao Qian, Lian Wen, Xiao Bai, and Yongsheng Gao. “On the sampling

strategy for evaluation of spectral-spatial methods in hyperspectral image classification,” IEEE

Transactions on Geoscience and Remote Sensing, Vol. 55, No. 2, pages 862-880, 2017.

13. Lei Tong, Jun Zhou, Xue Li, Yuntao Qian, and Yongsheng Gao. “Region based structure

preserving nonnegative matrix factorization for hyperspectral unmixing,” IEEE Journal of

Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 4, 1575 – 1588,

2017.

14. Changhong Liu, Jun Zhou, Jie Liang, Yuntao Qian, Hanxi Li, and Yongsheng Gao. “Exploring

structural consistency in graph regularized joint spectral-spatial sparse coding for hyperspectral

image classification,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 3, 1151-1164, 2017.

15. Lei Tong, Jun Zhou, Yuntao Qian, Xiao Bai, and Yongsheng Gao. “Nonnegative matrix

factorization based hyperspectral unmixing with partially known endmembers,” IEEE

Transactions on Geoscience and Remote Sensing, Vol. 54, No. 11, pages 6531-6544, 2016.

16. Danping Liao, Yuntao Qian, Jun Zhou, and Yuanyan Tang. “A manifold alignment approach for

hyperspectral image visualization with natural color,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 54, No. 6, pages 3151-3162, 2016.

17. Cheng Yan, Xiao Bai, Peng Ren, Lu Bai, and Jun Zhou. “Band weighting via maximizing inter-

class distance for hyperspectral image classification,” IEEE Geoscience and Remote Sensing

Letters, Vol. 13, No. 7, pages 922-925, 2016.

18. Haichuan Yang, Xiao Bai, Yanzhen Liu, Yanyang Wang, Lu Bai, Jun Zhou, and Wenzhong

Tang. “Maximum margin hashing with supervised information,” Multimedia Tools and Applications, Vol. 75, No. 7, pages 3955-3971, 2016.

19. Xiao Bai, Cheng Yan, Peng Ren, Lu Bai, and Jun Zhou. “Discriminative sparse neighbor

coding”, Multimedia Tools and Applications, Vol. 75, No. 7, pages 4013-4037, 2016.

20. Lei Liu, Xiao Bai, Huigang Zhang, Jun Zhou, and Wenzhong Tang. “Describing and learning of

related parts based on latent structural model in big data”, Neurocomputing, Vol. 173, Part 2,

pages 355-363, 2016.

21. Zhenqiu Shu, Jun Zhou, Pu Huang, Xun Yu, Zhangjing Yang, Chunxia Zhao. “Local and global

regularized sparse coding for data representation”, Neurocomputing, Vol. 175, Part A, pages 188-

197, 2016.

22. Xiao Bai, Zhouxiao Guo, Yanyang Wang, Zhihong Zhang, Jun Zhou. “Semi-supervised

hyperspectral band selection via spectral-spatial hypergraph model,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 8, No. 6, pages 2774-2783, 2015.

23. Xiao Bai, Peng Ren, Huigang Zhang, and Jun Zhou. “An incremental structured part model for

object recognition”, Neurocomputing, Vol. 154, pages 189-199, 2015.

24. Minchao Ye, Yuntao Qian, and Jun Zhou. “Multi-task sparse nonnegative matrix factorization

for joint spectral-spatial hyperspectral imagery denoising”, IEEE Transactions on Geoscience

and Remote Sensing, Vol 53, No. 5, pages 2621 – 2639, 2015.

25. Xiao Bai, Chuntian Liu, Peng Ren, Jun Zhou, Huijie Zhao, and Yun Su. “Object classification

via feature fusion based marginalized kernels,” IEEE Geoscience and Remote Sensing Letters,

Vol. 12, No. 1, pages 8-12, 2015.

26. Xiao Bai, Haichuan Yang, Jun Zhou, Peng Ren and Jian Cheng. “Data-dependent hashing based

on p-stable distribution”, IEEE Transactions on Image Processing, Vol. 23, No. 12, pages 6508-

6520, 2014.

27. Xiao Bai, Huigang Zhang, and Jun Zhou. “VHR object detection based on structural feature

extraction and query expansion,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 52,

No. 10, pages 6508-6520, 2014.

28. Zhichun Fu, Mac Boot, Peter Christen, and Jun Zhou. “Automatic record linkage of individuals

and households in historical census data,” International Journal of Humanities and Arts

Computing, Vol. 8, No.2, pages 204-225, 2014.

29. Huigang Zhang, Xiao Bai, Jun Zhou, Jian Cheng, and Huijie Zhao. “Object detection via

structural feature selection and shape model,” IEEE Transactions on Image Processing, Vol. 22,

No. 12, pages 4984-4995, 2013.

30. Lin Gu, Antonio Robles-Kelly, and Jun Zhou. “Efficient estimation of reflectance parameters

from imaging spectroscopy,” IEEE Transactions on Image Processing, Vol. 22, No. 9, pages

3648-3663, 2013.

31. Yuntao Qian, Minchao Ye, and Jun Zhou. “Hyperspectral image classification based on

structured sparse logistic regression and 3D wavelet texture features,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 4, pages 2276-2291, 2013.

32. Huigang Zhang, Xiao Bai, Huaxin Zheng, Huijie Zhao, Jun Zhou, Jian Cheng and Hanqing Lu.

“Hierarchical remote sensing image analysis via graph Laplacian energy,” IEEE Geoscience and

Remote Sensing Letters, Vol. 10, No. 2, pages 396-400, 2013.

33. Yuntao Qian, Sen Jia, Jun Zhou, and Antonio Robles-Kelly. “Hyperspectral unmixing Via L1/2

sparsity-constrained nonnegative matrix factorization,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 49, No. 11, pages 4282-4297, 2011.

34. Haifeng Zhao, Antonio Robles-Kelly, Jun Zhou, Jianfeng Lu, and Jing-Yu Yang. “Graph

attribute embedding via Riemannian submersion learning,” Computer Vision and Image

Understanding, Vol. 115, No. 7, pages 962-975, 2011.

35. Jun Zhou, Zhouyu Fu, Antonio Robles-Kelly. “A Structured Learning Approach to Image

Descriptor Combination,” IET Computer Vision, Vol. 5, No. 2, pages 134-142, 2011.

36. Zhouyu Fu, Antonio Robles-Kelly, Jun Zhou. “MILIS: multiple instance learning with instance

selection,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 5,

pages 958-977, 2011.

37. Zhouyu Fu, Antonio Robles-Kelly, Jun Zhou. “Mixing linear SVMs for nonlinear

classification,” IEEE Transactions on Neural Networks, Vol. 21, No. 12, pages 1963-1975, 2010.

38. Jun Zhou, Li Cheng, and Walter F. Bischof. “Spatial-temporal modeling of interactive image

interpretation,” Spatial Vision, Vol. 22, No. 5, pages 455-472, 2009.

39. Jun Zhou, Li Cheng, and Walter F. Bischof. “Online learning and novelty detection in human-

guided road tracking,” IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 12,

pages 3967-3977, 2007.

40. Jun Zhou, Walter F. Bischof, and Terry Caelli. “Road tracking in aerial images based on human-

computer interaction and Bayesian filtering,” ISPRS Journal of Photogrammetry and Remote

Sensing, Vol. 61, No. 2, pages 108-124, 2006.

Peer-reviewed Conference Proceedings

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

Geoscience & Remote Sensing Symposium (IGARSS’18), Valencia, Spain, 2018.

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

Computing: Techniques and Applications (DICTA'16), pages 1-6, Gold Coast, Australia, 2016.

19. Yanzhen Liu, Xiao Bai, Cheng Yan, Jing Wang, and Jun Zhou. “Hashing with non-linear

manifold learning”, Proceedings of the International Conference on Digital Image Computing:

Techniques and Applications (DICTA'16), pages 1-8, Gold Coast, Australia, 2016.

20. Yue Li, Bin Wang, Yongsheng Gao, and Jun Zhou. “Affine invariant point-set matching using

convex hull bisection”, Proceedings of the International Conference on Digital Image

Computing: Techniques and Applications (DICTA'16), pages 1-8, Gold Coast, Australia, 2016.

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

Geoscience & Remote Sensing Symposium (IGARSS'16), pages 6890-6893, Beijing, China, 2016.

28. Ali Zia, Jun Zhou, and Yongsheng Gao. “Relative Depth Estimation from Hyperspectral Data”,

Proceedings of the Digital Image Computing: Techniques and Applications (DICTA'15), pages 1-

7, Adelaide, Australia, 2015.

29. Zhenqiu Shu, Jun Zhou, Lei Tong, Xiao Bai, and Chunxia Zhao. “Multilayer manifold and

sparsity constrained nonnegative matrix factorization for hyperspectral unmixing,” Proceedings

of the IEEE International Conference on Image Processing (ICIP’15), pages 2174-2178, Quebec

City, Canada, 2015.

30. Lei Tong, Jun Zhou, Yuntao Qian, and Yongsheng Gao. “Multiple graph regularized NMF for

hyperspectral unmixing,” IEEE Workshop on Hyperspectral Image and Signal Processing:

Evolution in Remote Sensing (WHISPERS’15), Tokyo, Japan, 2015.

31. Jie Liang, Jun Zhou, Yuntao Qian, and Yongsheng Gao. “On the sampling strategies for

evaluation of joint spectral-spatial information based classifiers,” Proceeding of the IEEE

Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing

(WHISPERS’15), Tokyo, Japan, 2015.

32. Cheng Yan, Xiao Bai, and Jun Zhou. “Band weighting and selection based on hyperplane

margin maximization for hyperspectral image classification,” Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, pages 1702-1705, Milan, Italy, 2015.

33. Yanzhen Liu, Xiao Bai, Haichuan Yang, Jun Zhou, and Zhihong Zhang, “Isometric mapping

hashing,” Graph-based Representations in Pattern Recognition (GbR2015), pages 325-334,

Beijing, China, 2015.

34. Haoyi Zhou, Xiao Bai, and Jun Zhou, “Learning graph model for different dimensions image

matching,” Graph-based Representations in Pattern Recognition (GbR2015), pages 158-167,

Beijing, China, 2015.

35. Jie Liang, Jun Zhou, and Yongsheng Gao. “3D local derivative pattern for hyperspectral face

recognition,” Proceedings of the Eleventh IEEE International Conference on Automatic Face

and Gesture Recognition (FG'15), Vol. 1, pages 1-6, Ljubljana, Slovenia, 2015.

36. Ali Zia, Jie Liang, Jun Zhou, and Yongsheng Gao. “3D reconstruction from hyperspectral

images,” Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV'15), pages 318-325, Waikoloa Beach, Hawaii, 2015.

37. Lei Tong, Jun Zhou, Xiao Bai, and Yongsheng Gao. “Dual graph regularized NMF for

hyperspectral unmixing,” Accepted by the Digital Image Computing: Techniques and

Applications (DICTA'14), pages 1-8, Wollongong, Australia, 2014.

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

Image Processing (ICIP'13), pages 2674-2678, Melbourne, Australia, 2013.

49. Zhouxiao Guo, Xiao Bai, and Zhihong Zhang, Jun Zhou. “A hypergraph based semi-supervised

band selection method for hyperspectral image classification,” Proceedings of the IEEE

International Conference on Image Processing (ICIP'13), pages 3137-3141, Melbourne,

Australia, 2013.

50. Yuntao Qian, Danping Liao, and Jun Zhou. “Manifold alignment based color transfer for

multiview image stitching,” Proceedings of the IEEE International Conference on Image

Processing (ICIP'13), pages 1341-1345, Melbourne, Australia, 2013.

51. Wei Xu, Zhenmin Tang, Jun Zhou, and Jundi Ding. “Pavement crack detection based on

saliency and statistical features,” Proceedings of the IEEE International Conference on Image

Processing (ICIP'13), pages 4093-4097, Melbourne, Australia, 2013.

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

Structural and Syntactic Pattern Recognition (SSPR'12), pages 483-491, Hiroshima, Japan, 2012.

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

Computer Vision (ICCV’11), pages 1987-1994, Barcelona, Spain, 2011.

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

Syntactic Pattern Recognition (SSPR'10), pages 70-79, Cesme, Izmir, Turkey, 2010.

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-

Computer Interaction (HCII'07), Beijing, China, 2007.

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

Pattern Recognition (SSPR’04), pages 287-295, Lisbon, Portugal, August 18- 20, 2004.

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,

2018

Organizing Chair, the 10th IAPR International Conference on Biometrics (ICB 2018), Brisbane,

Australia, 2018

Publicity Chair, International Conference on Pattern Recognition and Artificial Intelligence

(ICPRAI), Montreal, Canada, 2018

Publicity and Web Chair, Australian Database Conference (ADC 2017), Brisbane, Australia,

2017

Sponsorship Chair, IEEE International Conference on Systems, Man, and Cybernetics

(SMC2017), Banff, Canada, 2017

General Co-chair, Digital Image Computing: Techniques and Applications (DICTA 2016), Gold

Coast, Australia, 2016

Member at Large, Australian Pattern Recognition Society, 2015-2016

Program Committee, S+SSPR 2016

Web and Social Media Co-Chair, ACM Multimedia (ACM MM 2015), Brisbane, Australia, 2015

Chair, Nominating Committee, Computer Society Chapter, IEEE Queensland Section, 2015,

2016

Sponsorships and Exhibits Co-Chair, IEEE International Conference on Systems, Man, and

Cybernetics (IEEE SMC 2014), San Diego, USA, 2014

Sponsorship Chair, IEEE International Conference on Multimedia and Expo (ICME 2013), San

Jose, USA, 2013

General Co-chair, ICME Workshop on Human-Focused Communications in the 3D Continuum,

(HFC3D 2012), Melbourne, Australia, 2012

Patronage Chair, IEEE International Conference on Multimedia and Expo (ICME 2011),

Barcelona, Spain, 2011

Chair, Computer Society Chapter, IEEE ACT Section (12/2009~12/2010)

Local Arrangements Chair, Digital Image Computing: Techniques and Applications (DICTA

2008), Canberra, Australia, 2008

Memberships

Institute of Electrical and Electronic Engineers (IEEE), Senior Member

IEEE Computer Society, IEEE Signal Processing Society, IEEE Geoscience and Remote Sensing

Society

Association for Computing Machinery (ACM)

Editorial Board

Journal of Soils and Sediments, Since 2015

IEEE MMTC R-Letter, Since 2013

Guest Editor, Pattern Recognition Special Issue on Pattern Recognition for High Performance

Imaging, 2017

Guest Editor, IEEE Geoscience and Remote Sensing Letters Special Issue on Advances in Image

Processing for Very High Resolution Optical Remote Sensing Images, 2017

Reviewer or Program Committee Member

Competitive Funding

Australian Research Council (ARC)

Canadian Institutes of Health Research (CIHR)

Natural Sciences and Engineering Research Council (NSERC)

Social Sciences and Humanities Research Council of Canada (SSHRC)

Mitacs Accelerate Fund

Journals

IEEE Transactions on Image Processing

IEEE Transactions on Signal Processing

IEEE Transactions on Geoscience and Remote Sensing

IEEE Transactions on Circuits and Systems for Video Technology

IEEE Transactions on Instrumentation and Measurement

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

IEEE Geoscience and Remote Sensing Letter

Pattern Recognition

Pattern Recognition Letter

Multimedia Tools and Applications

IET Computer Vision

Machine Vision and Applications

Data Mining and Knowledge Discovery

Pattern Analysis and Applications Journal

Signal Processing: Image Communication

Cognitive Computation

ISPRS Journal of Photogrammetry and Remote Sensing

Photogrammetric Engineering and Remote Sensing

Environmental Science and Pollution Research

Journal of Soils and Sediments

Science China Information Sciences

Journal of Real-Time Image Processing

International Journal of Geographical Information Science

Information Sciences

Conferences

IEEE International Conference on Computer Vision (ICCV), since 2015

IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), since 2015

IEEE International Conference on Multimedia & Expo (ICME), since 2011

IEEE International Geoscience & Remote Sensing Symposium (IGARSS), since 2009

Asian Conference on Computer Vision (ACCV), since 2009

ACM Conference on Multimedia (ACM MM), since 2015

Digital Image Computing: Techniques and Applications (DICTA), since 2008

International Conference on Pattern Recognition (ICPR), since 2012

AAAI Conference on Artificial Intelligence (AAAI), 2018

British Machine Vision Conference (BMVC), 2018

European Conference on Computer Vision (ECCV), 2016

European Workshop on Visual Information Processing (EUVIP), 2016

IEEE International Conference on Visual Communications and Image Processing (VCIP), 2016

IEEE International Conference on Machine Learning and Applications (ICMLA), 2016

International Conference on Image and Graphics (ICIG), 2015

International Conference on Intelligence Science and Big Data Engineering (IScIDE), 2013

Pacific-rim Symposium on Image and Video Technology (PSIVT), 2010, 2013

Thesis Examiners

Shaun Dowler, PhD, University of Auckland, New Zealand, 2011

Xiaofeng Zhu, PhD, University of Queensland, Australia, 2013

Md Rahman, PhD, University of New South Wales, 2013

Zohaib Khan, PhD, University of Western Australia, 2014

Yathunanthan Sivarajah, PhD, University of Western Australia, 2014

Muhammad Uzair, PhD, University of Western Australia, 2015

Geoffrey Bull, PhD, Charles Sturt University, 2015

Guangnan Jiang, PhD, University of New South Wales, 2016

Lelin Zhang, PhD, University of Sydney, 2016

Jie Xie, PhD, Queensland University of Technology, 2016

Naveed Akhta, PhD, University of Western Australia, 2016

Kun Zhao, PhD, University of Queensland, 2016

Yang Heng Kee, MPhil, University of Adelaide, 2016

Huizhong Deng, MPhil, the Australian National University, 2016

Stephen Tierney, PhD, Charles Sturt University, 2017

Shangrong Huang, PhD, University of Technology Sydney, 2017

Musfequs Salehin, PhD, Charles Sturt University, 2017

Meng Xu, PhD, University of New South Wales, 2017

Qichang Hu, PhD, University of Adelaide, 2017

Ahmed Sohaib, PhD, Australian National University, Australia, 2017

Research Visits

Beihang University, Beijing, China, 2011, 2013, 2014, 2015, 2016, 2017

Xidian University, Xi’an, China, 2011, 2016, 2017

Beijing University of Technology, 2017

Nanjing University of Science and Technology, Nanjing, China, 2009, 2010, 2011, 2012, 2014,

2015, 2016, 2017

Jiangxi Normal University, China, 2016

IMEC, Belgium, 2014, 2015

Zhejiang University, Hangzhou, China, 2009, 2010, 2011, 2012, 2014, 2015, 2017

Institute of Automation, Chinese Academy of Science, Beijing, China, 2014

Xiamen University, Xiamen, China, 2014

Beijing Jiaotong University, Beijing, China, 2014

Charles Sturt University, 2014

Shanghai Institute of Technical Physics, Chinese Academy of Science, Shanghai, China, 2013

Institute of Computing Technology, Chinese Academy of Science, Beijing, China, 2013

Academy of Opto-Electronics, Chinese Academy of Science, Beijing, China, 2013

Southeast University, Nanjing, China, 2013

Shandong Academy of Sciences, 2012, 2013

University of Queensland, Australia, 2012

Griffith University, Brisbane, Australia, 2012

University of Canberra, 2012

University of Western Sydney, Sydney, Australia, 2011

CSIRO, Hobart, Australia, 2011, 2012

CSIRO, Sydney, Australia, 2011

CSIRO, Canberra, Australia, 2013

Ordnance Survey, Southampton, UK, 2005.

NICTA Canberra Lab, Australia, 2005

Mid-Continent Mapping Centre, United States Geological Survey, Rolla, USA, 2003.

Hosted Visitors

Fengchao Xiong Visiting PhD student, Zhejiang University, 2017

Kun Qian Visiting PhD student, Xidian University, 2017

Haifeng Zhao Assistant Professor, Jinling Technology University, 2017

Xiao Bai Professor, Beihang University, 2017

Yuntao Qian Professor, Zhejiang University, 2016

Junyan Yang Researcher, Shanghai Aerospace Control Technology Institute, 2016

Changhong Liu Assistance Professor, Jiangxi Normal University, 2015

Xue Li Visiting PhD student, Nanjing University of Science and Technology, 2015

Bin Qian Visiting PhD student, Nanjing University of Science and Technology, 2015

Zhenqiu Shu Visiting PhD student, Nanjing University of Science and Technology, 2014

Furong Peng Visiting PhD student, Nanjing University of Science and Technology, 2012

Wei Xu Visiting PhD student, Nanjing University of Science and Technology, 2012

Huixin Zhou Professor, Xidian University, 2011