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Jianmin Jiang

  • PhD, Fellow of IET, UK, Fellow of RSA, UK

  • Distinguished Chair Professor and Director, Research Institute for Future Media Computing, Shenzhen University, Shenzhen, P.R. of China

  • Emails:

  • URL:http://futuremedia.szu.edu.cn

Jianmin Jiang received PhD from the University of Nottingham, UK, in 1994, after which he joined Loughborough University, UK, as a lecturer of computer science. From 1997 to 2001, he worked as a full professor (Chair) of Computing at the University of Glamorgan, Wales, UK. In 2002, he joined the University of Bradford, UK, as a Chair Professor of Digital Media and Director of Digital Media & Systems Research Institute. He worked at the University of Surrey, UK, as a chair professor in media computing during 2010-2015 and a distinguished professor at Tianjin University, China, during 2010-2013. He is currently a Distinguished Professor and director of the Research Institute for Future Media Computing at the College of Computer Science & Software Engineering, Shenzhen University, China. He was a chartered engineer, fellow of IET (IEE), fellow of RSA, member of EPSRC College in the UK. He also served the European Commission as proposal evaluator, project auditor, and NoE/IP hearing panel expert under both EU Framework-6 and Framework-7 programmes. He was one of the contributing authors for EU Framework-7 Work-Programme in 2013.

He served the Image and Vision Computing Journal, ELSEVIER, as an associate editor during 2006-2015.                            He is serving the journal of IET Image Processing as an Associate Editor (2019 - ).

Since 2014, he has been continuously named by ELSEVIER as one of the most cited Chinese computer scientists (http://china.elsevier.com).
                       

While working in the British universities as a full professor, J. Jiang has successfully supervised many PhD students and post-docs researchers, and representative examples of his supervised PhD students include:
                           

  • Eran Edirisinghe, admitted in 1997 and graduated in 2000, now working at the Department of Computer Science, University of Loughborough, United Kingdom, as a Chair Professor, Head of Computer Science Department (2010-2015) and Associate Dean for the Science Faculty;

  • Christos Grecos, admitted in 1998 and graduated in 2001, now working at the University of West of Scotland, United Kingdom as a full Professor and Head of School of Computing;

  • Jinchang Ren, admitted in 2006 and graduated in 2009, now working at the Department of Electrical & Electronic Engineering, Strathclyde University, United Kingdom as a Senior Lecturer and Deputy Head of The Centre for Image and Signal Processing;


Details of his academic career are given below:

Education/Qualifications:      

01/09/1990-15/07/1994: PhD in Computer Engineering, University of Nottingham, UK;
01/03/1982-30/12/1984: MSc in Electrical & Electronic Engineering, Beijing Graduate School, China University of Mining & Tech.
01/03/1978-30/12/1981: BSc in Electrical Engineering, Shandong Mining Institute, China.
                       

Career Histories:      

2014 – To date: China National 1000-plan Distinguished Professor, Director of Research Institute for Future Media Computing;

2010 – 2014: Chair Professor of Media Computing, University of Surrey, United Kingdom;
2010 – 2013: Chinese National 1000-plan Distinguished Professor, Tianjin University, Tianjin, China;
2002 – 2010: Chair Professor of Digital Media, Director of Digital Media & Systems Research Institute, University of Bradford, United Kingdom;
1997 – 2002: Chair Professor of Computing, School of Computing, Associate Head of School for Research (Research Coordinator), University of Glamorgan, United Kingdom;
1994 – 1997: Lecturer, Department of Computer Science, Loughborough University, UK;
                       

Research Grants:      
  1. J. Jiang, ‘Deep learning and visualization towards seeing imageinations inside human brains’, 2.83 Million RMB, CNSF, 2021-2025.

  2. J. Jiang, D. Shi, and W. Xie ‘Intelligent VR for predictive reconstruction of unknown environment under circumstances of disaster rescue’, 5.3 million RMB, Ministry of Science & Technology, China, 2019-2023;

  3. J. Jiang, ‘Immersive and panoramic 3D video reconstruction of indoor scenes’, 2.55 million RMB awarded by China Natural Science Foundation (CNSF), in collaboration with MingMing Cheng at Nankai, Philip Torr at Oxford, and Adrian Hilton at Surrey, 2017-2021;

  4. J. Jiang, ‘Personalized TV broadcasting and interactive media computing’, 2 million RMB,  2016-2018, Commission of Scientific Research & Innovations, Shenzhen, China;

  5. J. Jiang, ‘Immersive 3D video reconstruction of indoor scenes with multi-views’, 5 million RMB, 2015-2017, Distinguished Professorship Award, Shenzhen University, China;

  6. J. Jiang, ‘Intelligent and interactive media content analysis via machine learning approaches’, Chinese National 1000-plan Distinguished Professorship Award, 12 million RMB, 2010-2013, Tianjin University, China;

  7. J. Jiang, ‘Learning-based video summarization via one-class SVM with multiple kernels, 780,000 RMB, 2014-2017, Chinese National Science Foundation, China;

  8. J. Jiang, ‘SCC-Computing: strategic collaboration with China on high performance computing based on Tianhe-1A, the world’s most powerful super-computer’, European Framework-7 SA International Collaboration Project, 410,000 Euros, 2012-2013 (EU contract number 287746), in collaboration with University of Zaragoza Spain, University Stavanger Norway, National Centre for Supercomputing Applications Bulgaria, University of Surrey, UK, Chinese National Supercomputer Centre Tianjin, and Tianjin University China;

  9. J. Jiang, ‘CockpitCI: Cybersecurity on SCADA’, European Framework-7 STREP, 2.9 million Euros, 2010-2013, in collaboration with Selex Systemi Integrati SPA Italy; Multitel ASBL Belgium; Israel Electric. Corp., Israel, Università di Roma Tre, Italy, Centre de Recherché Public Henri Tudor, Luxemburg; University of Coimbra Faculdade de, Portugal; et al.;

  10. J. Jiang, ‘EcoGem: Cooperative machine learning system for green transport environment’, European Framework-7 funded STREP project, 2.6 million Euros,  2010-2013, in collaboration with TEMSA ARASTIRMA GELISTIRME VE TEKNOLOJI A.S. Turkey; Athens University, Greece; NAVTEQ B.V. Netherland, HI IBERIA INGENIERIA Y PROYECTOS SL Spain et al.;

  11. J. Jiang, ‘MICIE: Tool for systemic risk analysis and secure mediation of data exchanged across linked CI information infrastructures’, European Framework-7 funded STREP project, 2 million Euros, 2008-2011. European Contract No. 225353, in collaboration with: (i) Selex Communications S.p.A., Italy; (ii) Centre de Recherch Public Henri Tudor, Luxembourg; (iii) Telecommunication University of Rome, Italy; (iv) University of Rome, Italy; (v) ENEA, Italy; (vi) Industrial Research Institute of Automation and Measurements, Poland; (vii) Israel Electric Corp, Israel; (viii) Itrust Consulting A.a.r.l. Luxembourg; (ix) Multitel asbl, Belgium; (x) University of Coimbra, Portugal.

  12. J. Jiang, ‘HERMES: Cognitive care and guidance for active aging’, European Framework-7 funded STREP project, 3 million Euros, 2008-2011. European Contract No. 216709, in collaboration with: (i) Centre for Usability Research & Engineering, Austria; (ii) INGEMA Foundation, Spain; (iii) IBM Haifa Research Laboratory, Israel; (iv) Athens Information Institute, Greece; (v) TXT E-solutions, Italy.

  13. J. Jiang, ‘PROTAGE: Digital preservation and organization using tools in agent environment’, European Framework-7 funded STREP project, 2 million Euros, 2008-2010. European Contract No. 216746, in collaboration with: (i) National Archives of Sweden; (ii) National Archives of Estonia; (iii) Lulea University of Technology, Sweden; (iv) Fraunhofer Gesellschaft zur Forderung der angewandten Forschung e.V. Germany; (v) EASY Innovation S.L. Spain; (vi) Giunti Labs S.r.l. Italy.

  14. J. Jiang and A.M. Wason (Bradford Royal Infirmary), "Computerised classification of normal mammograms for breast cancer screening", UK nationally funded project, £90,000, 2006-2009, British Breast Cancer Research Trust.

  15. J. Jiang, ‘MDS: Misuse Detection System for e-Security’, European Framework-6 funded STREP project, 1.35 million Euros, 2006-2009. European Contract No. 026459, in collaboration with: (i) ComArch S.A. Poland; (ii) University of Bremen, Germany; (iii) Tekever, Portugal; (iv) Polska Telefonia Cyfrowa, Poland.

  16. J. Jiang, ‘Live: Live Staging of Media Events’, European Framework-6 funded Integrated Project, 7 million Euros, 2007-2010. European Contract No. 027312, in collaboration with: (i) Fraunhofer-Gesellschaft zur Forderung der angewandten Forschung e.V. Germany; (ii) Academy of Media Arts, Cologne, Germany; (iii) ORF, Austria national TV broadcaster, Austria; (iv) Atos Origin, Spain; (v) University of Ljubljana, Slovenia; (vi) University of Applied Science Cologne, Germany; (vi) Salzburg Research Institute, Austria; (vii) Sony NetServices, Austria.

  17. J. Jiang ‘Digital media research & innovations at European level: travel grant to bid for EU funding under FP-7 programme’, UK national project funded by EPSRC, £60,000, 2007-2010.


Inventions:      

(1) Jiang J and Xu L ‘Method and Apparatus for Extracting Pixel Values’, Granted US Patent 7,444,033, 2008, filed by British Telecom Research Lab, Ipswich, UK;                        
(2) Jiang J, Zhu Y. and Li K. ‘Methods for derivation of sparse-based super-resolution images’, Granted Chinese Patent Z1. 2012-1-0045871.6, 2012.
                       
                       

               

Publications:


In total, J. Jiang has published around 400 refereed research papers in leading international journals and conferences. The following lists his leading conference publications in 2019 and part of his recent SCI journal publications since the year of 2000.


    Leading Conference Publications since 2019:

  1. Fares A., Zhong S. and Jiang J. 'Brain-media: A Dual Conditioned and Lateralization Supported GAN (DCLS_GAN) towards Visualization of Image-evoked Brain Activities', Accepted to ACM Multimedia 2020.

  2. Wang J. and Jiang J. 'Adversarial Learning for Zero-shot Domain Adaptation', ECCV2020, 23-28 August 2020, Online.

  3. Wang J. and Jiang J. 'Conditional coupled generative adversarial networks for zero-shot domain adaptation', Accepted to ICCV2019, IEEE

  4. Liu J., Hou Q., Cheng M. Feng J. and Jiang J. (2019) ‘A simple pooling-based design for real-time salient object detection’, Accepted to CVPR’2019, IEEE

  5. Xie W. Wang M, Wei M., and Jiang J. ‘Surface Reconstruction from Normals: A Robust DGP-based Discontinuity Preservation Approach’ Accepted, CVPR2019, IEEE

  6. Wang X., Zhang Q., Wang S. and Jiang J. ‘Learning to Explore Intrinsic Saliency for Stereoscopic Video’ Accepted, CVPR2019, IEEE

  7. Zhong S., Fares A. and Jiang J. ‘Attentional-LSTM for improved classification of brain activities evoked by images’, Accepted to: ACM Multimedia’2019

  8. Refereed Journal Publications:

  9. Dong L., Zhou Y., Lin Q. and Jiang J. ‘Adaptive Operator Selection with Test-and-Apply Structure for Decomposition-based Multi-objective Optimization’, Vol 68, Swarm and Evolutionary Computation, ELSEVIER, 2022;

  10. Dong L., Zhou Y. and Jiang J. ‘General synthesis of Logos across DCT domain’, Neurocomputing, Vol 467, January, 2022, pp 163-172;

  11. Wang J and Jiang J. (2021) ‘Learning across Tasks for Zero-Shot Domain Adaptation from a Single Source Domain’, Accepted, IEEE Transactions on Pattern Analysis and Machine Intelligence;

  12. Wang J, Cheng M. and Jiang J. (2021) ‘Domain Shift Preservation for Zero-shot Domain Adaptation’, Accepted, IEEE Transactions on Image Processing;

  13. Chang Q., Hung K. and Jiang J. (2021) ‘Fine Tuning of Deep Contexts towards Improved Perceptual Quality of In-paintings’, Accepted, IEEE Transactions on Cybernetics;

  14. Zhang X., Song Y., Li Z., and Jiang J. (2021) ‘PR-RL:Portrait Relighting via Deep Reinforcement Learning’, IEEE Transactions on Multimedia, DOI: 10.1109/TMM.2021.3096009;

  15. Zhang P., Wang X., Ma L., Wang S., Kwong S. and Jiang J. ‘Progressive Point Cloud Upsampling via Differentiable Rendering’, IEEE Transactions on Circuits and Systems for Video Technology, Vol 31, No 12, pp4673-4685;

  16. Zhang Q., Wang S, Wang X, Sun Z, Kwong S and Jiang J. (2021) ‘A multi-task collaborative network for light-field salient object detection’, IEEE Transaction on Circuits and Systems for Video Technology, Vol 31, No 5, May 2021, pp 1849-1861;

  17. Wang J and Jiang J (2021) ‘Unsupervised deep clustering via adaptive GMM modeling and optimization’ Neurocomputing, Vol 433, pp 199-211, ELSEVIER;

  18. Jiang J., Fares A. and Zhong S. (2020) ‘A brain-media deep framework towards seeing imaginations inside brains’, Accepted to: IEEE Transactions on Multimedia

  19. Zhang X., Li Z. and Jiang J.(2020) ‘Emotion Attention-Aware Collaborative Deep Reinforcement Learning for Image Cropping’, Accepted to: IEEE Transactions on Multimedia, DoI: 10.1109/TMM.2020.3013350

  20. Wang Z, Zhou Z, Lu H, Hu Q, and Jiang J (2020) ‘Video Saliency Prediction via Joint Discrimination and Local Consistency’ Accepted to: IEEE Transactions on Cybernetics

  21. Zhang Q, Wang X, Wang S, Sun Z, Kwong S. and Jiang J (2020) ‘Learning to explore saliency for stereoscopic videos via component based interaction’, Accepted to: IEEE Transactions on Image Processing

  22. Wang Z, Zhou Z., Lu H, and Jiang J. (2020) ‘Global and Local Sensitivity Guided Key Salient Object Re-augmentation for Video Saliency Detection’ Accepted to: Pattern Recognition

  23. Jiang J., Hossam and Hung K. (2019) 'Robust image completion via deep feature transformations', IEEE Access, 14 August 2019, Vol 7, pp113916-113930

  24. Zheng M., Jiang J., Wu S. Zhong S. and Liu Y. (2019) ‘Content-adaptive selective steganographer detection via embedding probability estimation deep networks’, Accepted to Neurocomputing, ELSEVIER

  25. Wang Z., Zhou Z, Lu H., Hu Q. and Jiang J. (2019) ‘Video saliency prediction via joint discrimination and local consistency’, Accepted to: IEEE Transactions on Cybernetics, IEEE

  26. Wang J. and Jiang J. (2019) ‘SA-Net: A deep spectral analysis network for image clustering’, Accepted, Neurocomputing, ELSEVIER

  27. Huo Y., Wang X., Zhang P. Jiang J. and Hanzo L. (2019)‘Unequal Error Protection Aided Region of Interest Aware Wireless Panoramic Video’ Accepted to IEEE Access

  28. Hung K., Qiu C. and Jiang J.(2019) ‘Video super-resolution via deep global-aware network’, Accepted to IEEE Access

  29. Hung K. and Jiang J. (2019)‘Real-time Image Super-Resolution using Recursive Depthwise Separable Convolution Network’, Accepted to IEEE Access, USA

  30. Liu T, Cao X. and Jiang J. (2019) ‘Real-time target object tracking via dual-directional scaling state predicting’, Electronic Letters, IET

  31. Hung K, Wang K., Jiang J. (2019) ‘Image Interpolation using Convolutional Neural Networks with Deep Recursive Residual Learning’ Accepted to: Multimedia Tools & Applications, SPRINGER

  32. Fares A. Zhong S and Jiang J (2019) ‘EEG-Based Image Classification via a Region-Level Stacked Bi-directional Deep Learning Framework’, Accepted to: BMC Medical Informatics & Decision Making

  33. Jiang J., Hossam and Hung K. (2019) 'A Very Deep Spatial Transformer Towards Robust Single Image Super-Resolution', Accepted to: IEEE Access, IEEE, USA

  34. Guo M. and Jiang J. (2019) 'A robust deep style transfer for headshot portraits', Accepted to: Neurocomputing, ELSEVIER

  35. Jiang J, Fares A, and Zhong S. (2019) ‘A context-supported deep learning framework for multi-modal brain imaging classification’, Accepted, IEEE Transactions on Human-Machine Systems, IEEE, USA

  36. Ma Z., Wu J., Zhong S., Jiang J., and Heinen S (2019) ‘Human eye movements reveal video frame importance and facilitate a deep learning video summarization model’, Accepted, Computer, IEEE

  37. Zhang J., Han Y., Jiang J. et al (2019) ‘A Feature Selection Framework for Video Semantics Recognition via Integrated Cross-Media Analysis and Embedded Learning’, Accepted for publication to: Journal on Image & Video Processing, SPRINGER

  38. Zhang J, Jiang J, Han Y. (2018) ‘Semi-supervised regression with optimized rank for matrix data classification’, IEEE Transactions on Cybernetics, IEEE, July 23, 2018, DOI: 10.1109/TCYB.2018.2844860

  39. Wang X., Zhang P., Zhang Y., Ma L., Kwong S. and Jiang J. (2018) ‘Deep Intensity Guidance Based Compression Artifacts Reduction for Depth Map’, Journal of Visual Communication and Image Representation, Vol 57, pp 234-242, ELSEVIER.

  40. Wang K, Hung K. and Jiang J. (2018) ‘Image Up-sampling using Deep Cascaded Neural Networks in Dual Domains for Images Down-sampled in DCT domain’, Journal of Visual Communication & Image Representation, Vol 56, pp 144-149, ELSEVIER

  41. Zhong S., Wu J. and Jiang J. (2018) ‘Video Summarization via Spatio-Temporal Deep Architecture’, Accepted for publication by: Neurocomputing, ELSEVIER.

  42. Wang Z., Zhang D. Ren J., Sun M. and Jiang J. (2018)‘A deep learning based feature hybrid framework for spatiotemporal saliency detection inside videos’, Neurocomputing, ELSEVIE, Vol 287, 26 April 2018, Pages 68-83.

  43. Zhang J, Liu Y. and Jiang J (2018) ‘Tensor learning and automated rank selection for regression-based video classification’, Multimedia Tools & Applications, SPRINGER, November 2018, Volume 77, Issue 22, pp 29213–29230.

  44. Yang Y. and Jiang J. ‘Adaptive Bi-weighting towards Automatic Initialization and Model Selection for HMM-based Hybrid Meta-Clustering Ensembles’, IEEE Transactions on Cybernetics, IEEE, March 27, 2018, DOI: 10.1109/TCYB.2018.2809562.

  45. Sun M. Zhou Z.Q., Hu Q., Wang Z. and Jiang J. (2018) ‘SG-FCN: A Motion and Memory-Based Deep Learning Model For Video Saliency Detection’, IEEE Transactions on Cybernetics, IEEE, May 25, 2018; DoI: 10.1109/TCYB.2018.2832053

  46. Wu J, Zhong S. and Jiang J. (2018) ‘Foveated Convolutional Neural Networks for Video Summarization’, Multimedia Tools & Applications, Vol 77, Issue 22, pp 29245–29267 SPRINGER

  47. E. H. El-Shazly, X. Zhang and J. Jiang ‘Improved appearance loss for deep estimation of image depth’ Electronic Letters, IET, 2018, DOI:  10.1049/el.2018.7656

  48. Zhang J and Jiang J. (2017) ‘Rank-optimized Logistic Matrix Regression towards Improved Matrix Data Classification’, Neural Computation, MIT Press, Nov 21:1-21, doi: 10.1162/neco_a_01038, ISSN 0899-7667;

  49. Mohamed Amine Ferrag, Leandros Maglaras, Helge Janicke, Jianmin Jiang and Lei Shu (2017) ‘Authentication Protocols for Internet of Things: A Comprehensive Survey’, Accepted for publication in: Journal of Security & Communication Networks, Hindawi;

  50. Chang Q., Hung K, Wang X. and Jiang J. (2017) ‘Deep learning image super-resolution for nonlinear lens distortions’, Neurocomputing, https://doi.org/10.1016/j.neucom.2017.09.035

  51. Zhu Y., Tang G., Zhang X., Jiang J. and Tian Q. (2017) ‘Haze removal method for natural restoration of images with sky’, Neurocomputing, https://doi.org/10.1016/j.neucom.2017.08.055

  52. Liu T., Cao X. and Jiang J (2017) ‘Visual object tracking with partition loss schemes’, IEEE Transactions on Intelligent Transportation Systems, Vol 18, No. 3, March 2017, DoI: 10.1109/TITS.2016.2585663 IEEE, USA;

  53. Zhu Y., Jiang J., Han W. and Tian Q (2017) ‘Interpretation of users’ feedback via swarmed particles for improved content based image retrieval’ Information Sciences, Vol 375, Issue C, pp246-257;

  54. Wu J., Zhong S. and Jiang J. (2017) ‘A novel clustering method for static video summarization’, Multimedia Tools and Applications, Vol 76, No 7, pp 9625–9641 DOI: 10.1007/s11042-016-3569-x

  55. Xie W., Shen L. and Jiang J. (2017) ‘A novel transient wrinkle detection algorithm and its application for expression synthesis’, IEEE Transactions on Multimedia, Vol 19, No 2, Feb, 2017, pp 279-292, IEEE, DoI 10.1109/TMM.2016.2614429  USA;

  56. Tiago Cruz, Luis Rosa, Jorge Proenca, Leandros Maglaras, Matthieu Aubigny, Leonid Lev, Jianmin Jiang, Paulo Simoes (2016), "A cyber Security Detection Framework for Supervisory Control and Data Acquisition Systems", IEEE Transactions on Industrial Informatics,  Vol. 12, No. 6, Pages 2236-2246, DOI: 10.1109/TII.2016.2599841

  57. Zhang J and Jiang J. (2016) ‘Decomposition-based tensor learning regression for improved multimedia classification’, Visual Communication & Image Representation, Vol 41, pp260-271, ELSEVIER;

  58. L. Maglaras, J Jiang, F.V. Topalis et al. (2016) ‘Combining ensemble methods and social network metrics for improving accuracy of OCSVM on intrusion detection in SCADA systems’, Journal of Information Security and Applications, Vol 30, pp15-26, October, 2016;

  59. Zhang J, Han Y, Tang J, Hu Q. and Jiang J (2016), "Semi-Supervised Image-to-Video Adaptation for Video Action Recognition", IEEE Transactions on Cybernetics (TCYB), DOI: 10.1109/TCYB.2016.2535122.

  60. Song X, Zhang J, Han Y, and Jiang J, (2016), "Semi-Supervised Feature Selection via Hierarchical Regression for Web Image Classification", Multimedia Systems (MMSJ), 22(1): 41-49.

  61. Li K, Zhu Y., and Jiang J (2016) ‘Video Super-Resolution Using an Adaptive Superpixel-Guided Auto-Regressive Model’, Pattern Recognition, Vol 51, pp59-71, 2016, ELSEVIER;

  62. Yang Y and Jiang J (2016) ‘Hybrid sampling-based clustering ensemble with global and local constitutions’, IEEE Transactions on Neural Networks & Learning Systems, Vol 27, No 5, May 2016, pp952-965, DoI: 10.1109/TNNLS.2015.2430821

  63. Jiang J and Song X. (2016)‘An optimized high order CRF for automated labelling and segmentation of video objects’, IEEE Transactions on Circuits & Systems for Video Technology, Vol 26, No 3, 2016, pp 506-516, March 2016;

  64. Li, Kun; Yang, Jingyu; Jiang, Jianmin (2015), ‘Nonrigid Structure From Motion via Sparse Representation’, IEEE Transactions on Cybernetics, Vol 45, No 8, pp 1401-1403, 2015;

  65. Zhang J., Han Y. and Jiang J. (2015) 'Tensor rank selection for multimedia', Journal of Visual Communication and Image Representation, Vol. 30   Pages: 376-392   ELSEVIER.

  66. Ren J., Zhang Y. and Jiang J. (2015) "Combining MLC and SVM Classifiers for Learning Based Decision Making: Analysis and Evaluations," Computational Intelligence and Neuroscience, vol. 2015, Article ID 423581, 8 pages, doi:10.1155/2015/423581.

  67. L. Maglaras, J Jiang, A. Maglaras, F.V. Topalis and S. Moschoyiannis (2015) ‘Dynamic wireless charging of electric vehicles on the move with mobile energy disseminators’, International Journal of Advanced Computer Science & Applications, Vol 6, No 6, 2015.

  68. Zhang J., Han Y. and Jiang J. (2015) ‘Tucker decomposition Based Tensor Learning for Human Action Recognition’, Multimedia Systems Journal, Springer, DOI 10.1007/s00530-015-0464-7;

  69. L Maglaras, E. Stathakidis, and J Jiang (2015) ‘Social aspect of vehicular communications’, EAI Transcations on Cloud Systems 01/2015; 1(1): 1-10, DoI: 10.4108/cs.1.1.e6. European Association of Innovations (EAI), http://escripts.eai.eu

  70. Xiao Z., Jiang J. and Zhu Y. et al (2015) ‘A solution of dynamic VMs placement problem for energy consumption optimization based on evolutionary game theory’, Journal of Systems and Software, Vol 101, pp260-272, Mar. 2015;

  71. L. A. Maglaras and J. Jiang (2015), “A novel intrusion detection method based on ocsvm and k-means recursive clustering.” ICST Trans. Security Safety, vol. 3, p. e5, 2015;

  72. Sheng J and Jiang J (2014) ‘Recognition of Chinese artists via windowed and entropy balanced fusion and classification of their authored IWPs’, Pattern Recognition, Vol 47, No 2, pp 612-622;

  73. Leandros A. Maglaras, Jianmin Jiang, Tiago Cruz, “An integrated OCSVM mechanism for intrusion detection in SCADA systems”, IET Electronics Letters, Volume 50, issue 25, December 2014, p 1935-1936, DOI: 10.1049/el.2014.2897

  74. Zhang J., Han Y. and Jiang J. (2014) ‘Semi-supervised tensor learning for image classification’, Multimedia System Journal, DOI 10.1007/s00530-014-0416-7;

  75. Ren J. Vlachos T., Zhang Y., Zheng J. and Jiang J. (2014) ‘Gradient-based Subspace Phase Correlation for Fast and Effective Image Alignment’, Journal of Visual Communication and Image Representation, Vol 25, No 7, pp 1558-1565;

  76. Yanming Zhu, Kun Li and Jianmin Jiang (2014) ‘Video super-resolution based on automatic key-frame selection and feature-guided variational optical flow’, Signal Processing: Image Communication, Volume 29, Issue 8, September 2014, Pages 875–886

  77. Leandros A. Maglaras,  Jianmin Jiang (2014) "A real time OCSVM Intrusion Detection module with low overhead for SCADA systems", International Journal of Advanced Research in Artificial Intelligence, Vol. 3, No. 10, 2014, pp45-53, DOI: 10.14569/IJARAI.2014.031006; ISSN: 2165-4050

  78. Yang Y and Jiang J (2014) ‘HMM-based hybrid meta-clustering ensemble for temporal data’, Knowledge-Based Systems, Elesevier, Vol 56, January, 2014, pp299-310;

  79. Sheng J. and Jiang J. (2013) “Style based classification of traditional Chinese paintings’, Optical Engineering, SPIE, Vol 52, No 9, 093101, USA;

  80. E. Rodrignez-Martinez, T. Mu, J. Jiang and J.Y. Goulermas (2013) ‘Automated Induction of Heterogeneous Proximity Measures for Supervised Spectral Embedding’, IEEE Transactions on Neural Networks & Learning Systems, Vol 24, No 10, pp1575-1587;

  81. Mu T., Jiang J. and Wang Y. (2013) ‘Heterogeneous Delay Embeddings for Travel Time and Energy Cost Prediction via Regression Analysis’, IEEE Transactions on Intelligent Transportation Systems, Vol 14, No 1, pp214-224;

  82. Wang Z, Ren J, Wang Y, Sun M, and Jiang J (2013) ‘Reliable Camera Motion Estimation from Compressed MPEG Videos using Machine Learning Approach’. Optical Engineering, SPIE, Vol 52, No. 5, 057401;

  83. Nibouche O and Jiang J. (2013) ‘Palmprint matching using feature points and SVD factorization’, Digital Signal Processing, ELSEVIER, Vol 23, No 4, pp1154-1162;

  84. Wang Y. Jiang J and Mu T. (2013) ‘Context-Aware and Energy-Driven Route Optimization for Fully Electric Vehicle via crowdsourcing’ IEEE Transactions on Intelligent Transportation Systems, Vol 14, No 3, pp1331-1345;

  85. Feng W., Liu Z., Wan L., Pun C. and Jiang J. (2013), ‘A Spectral- Multiplicity-Tolerant Approach to Robust Graph Matching, Pattern Recognition, Vol 46, No 10, pp2819-2829;

  86. Kun Li, Chao Song, Jingyu Yang and Jianmin Jiang (2013), “Multi-core Large-scale Image-based Modeling”, International Journal of Physical Sciences, vol. 8, no. 33, pp. 1672-1675.

  87. Wang Z. M. Sun and Jiang J. (2012) ‘Automatically fast determining of the feature number for ranking based feature selection’, Electronic Letters, Vol 48, No 23, pp1462.

  88. Jin X, Min G, Belentzas S. and Jiang J. (2012) ‘Quality-of-service analysis of queuing systems with long-range-dependent network traffic and variable service capacity’ IEEE Transactions on Wireless Communications 11(2):562-570 2012;

  89. Nibouche O, Jiang J, and Trundle P. (2012) ‘Analysis of performance of palmprint matching with enforced sparsity’ Digital Signal Processing: A Review Journal 22(2):348-355.

  90. Han Y, Wu F, Zhuang Y, Tao D and Jiang J. (2012) 'Sparse unsupervised dimensionality reduction for multiple view data', IEEE Transactions on Circuits and Systems for Video Technology, Vol 22, No 10, Oct 2012, pp1485-1496;

  91. Mu T. Jiang J. Wang Y. and Goulermas J.Y.(2012) ‘An adaptive data embedding framework for multi-class classification’, IEEE Transactions on Neural Networks and Learning Systems, Vol. 23, No. 8, pp. 1291-1303;

  92. Pauplin O and Jiang J (2012) ‘DBN-based structural learning and optimisation for automated handwritten character recognition’ Pattern Recognition Letters, Vol. 33, pp658-692, ELSEVIER;

  93. Nasir I, Khelifi F, Jiang J and Ipson S (2012) 'Robust image watermarking via geometrically invariant feature points and image normalization', IET Image Processing, Vol 6, No 4, pp354-363, UK;

  94. Li L, Feng W. Zhang J. and Jiang J (2012) 'Video motion estimation with temporal coherence', Accepted to: International Journal of Virtual Reality;

  95. Weng Y and Jiang J (2011): "Fast Camera Motion Estimation in MPEG Compressed Domain" IEEE Transactions on Consumer Electronics, IEEE, 57 (3): 1329-1335.

  96. K. Li, Q. Dai, W. Xu, J. Yang and J. Jiang (2011), Three-Dimensional motion estimation via matrix completion”, IEEE Trans. Systems, Man, and Cybernetics, Part B: Cybernetics, No.99, pp.1-13;

  97. Ren J., Jiang J and J H Alkhateeb (2011) ‘Offline handwritten Arabic cursive text recognition using hidden Markov model’, Pattern Recognition Letters, ELSEVIER, Vol 32, No 8, pp1081-1088;

  98. Jiang J, Charles J and Demestichas K (2011): "EcoGem: A European Framework-7 project towards cooperative and intelligent optimization of travel planning and energy saving for drivers of fully electric vehicles" IEEE Vehicular Technology Magazine, IEEE, 6 (3): 22-26.

  99. Ren J, Feng Y, Jiang J, Halvey M and Jose J M (2011): "Effective Venue Image Retrieval using Robust Feature Extraction and Model Constrained Matching for Mobile Robot Localization" Machine Vision and Applications, SPRINGER, DOI 10.1007/s00138-011-0350-z;

  100. Feng Y, Ren J and Jiang J (2011): "Object-based 2D-to-3D Video Conversion for Effective Stereoscopic Content Generation in 3D-TV Applications" IEEE Transactions on Broadcasting, 57 (2): 500-509.

  101. Ren J, Wang D and Jiang J (2011): "Effective Recognition of MCCs in Mammograms Using an Improved Neural Classifier" International Scientific Journal Engineering Applications of Artificial Intelligence, ELSEVIER, 24 (4): 638-645.

  102. AlKhateeb J, Ren J and Jiang J (2011): "Offline Handwritten Arabic Cursive Text Recognition using Hidden Markov Models " Pattern Recognition Letters, ELSEVIER, 32 (8): 1081-1088.

  103. AlKhateeb J, Ren J, Pauplin O and Jiang J (2011): "Performance of Hidden Markov Model and Dynamic Bayesian Network Classifiers on Handwritten Arabic Word Recognition, Knowledge-Based Systems, ELSEVIER, Vol 24, No 5, pp680-688; DOI 10.1016/j.knosys.2011.02.008.

  104. Feng Y. and Jiang J (2011): "A Generic Framework for Content-based Stereo Image/Video Retrieval" Electronic Letters, 47 (2): 97-98.

  105. Xiao G, Jiang Y, Song G and Jiang J (2010): "SVM tree based domain knowledge learning towards automated sport video classifications" Optical Engineering, SPIE, , 49 (12): 127003-6.

  106. Jiang J, Trundle P and Ren J (2010): "Medical image analysis with artificial neural networks" Journal of Computerized Medical Imaging & Graphics, ELSEVIER, Elsevier, 34 (8): 617-631.

  107. Ren J and Jiang J (2010): "Activity-Driven Content Adaptation for Effective Video Summarization" Journal of Visual Communication and Image Representation, Elsevier, 21 (8): 930-938.

  108. Feng Y, Ren J and Jiang J (2010): "A mixed ranking scheme for video retrieval" Electronic Letters, ISSN: 0013-5194, 46 (24): 1600-1601.

  109. Jin X, Jiang J and Min G (2010): "A software agent and Web service based system for digital preservation" First Monday, http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/issue/view/320 , 15 (10).

  110. Khelifi F and Jiang J (2010): "k-NN regression to improve statistical feature extraction for texture retrieval" IEEE Transactions on Image Processing, 20 (1): 293-298.

  111. Qing C, Jiang J and Yang Z (2010): "Normalized Co-occurrence Mutual Information for Facial Pose Detection inside Videos" IEEE Transactions on Circuits, Systems and Video Technology, 20 (11): 1898-1902.

  112. Jiang J, Köhler J, Williams C.M., Zaletelj J and Güntner J (2010): "LIVE: an integrated production and feedback system for intelligent and interactive TV broadcasting" IEEE Transactions on Broadcasting, IEEE, USA, 57 (3): 646-661.

  113. Jin X, Jiang J and Min G (2010): "PROTAGE: An FP7 Funded Project towards Computerized Digital Preservation via Intelligent Agent Based Approaches" Accepted to: International Journal of Digital Curation.

  114. Chen J, Ren J and Jiang J (2010): "Context aware shot cut detection in compressed domain" International Journal of Multimedia Tools and Applications, Springer, 54 (2): 219-239.

  115. Qing C and Jiang J (2010): "An EDBoost Algorithm towards Robust Face Recognition in JPEG Compressed Domain" Image and Vision Computing, ELSEVIER, 28 (12): 1659-1670.

  116. Khelifi F and Jiang J (2010): "Perceptual Image Hashing Based on Fake Watermark Detection" IEEE Transactions on Image Processing, IEEE, USA, 19 (4): 981-994.

  117. Ren J, Jiang J and Vlachos T (2010): "High-accuracy sub-pixel motion estimation from sub-pixel based noisy images in Fourier domain" IEEE Transactions on Image Processing, IEEE, 19 (5): 1379-1384.

  118. Ren J, Jiang J, Chen J and Ipson S S(2010): "Extracting objects and events from MPEG sequences for video highlights indexing and retrieval" Journal of Multimedia, ISSN: 1796-2048, Academic Publisher, 5 (2): 95-103.

  119. Lu C, Jiang J and Feng G. (2010): "A boosted manifold learning for automatic face recognition" International Journal of Pattern Recognition and Artificial Intelligence, World Scientific Publishing, 24 (2): 321-335.

  120. Qing C, Jiang J and Yang Z (2010): "Empirical Mode Decomposition based Facial Pose Estimation inside Video Sequences" Optical Engineering, doi:10.1117/1.3359510, SPIE;

  121. Khelifi F and Jiang J. (2010): "Analysis of the Security of Perceptual Image Hashing Based on Non Negative Matrix Factorization" IEEE Signal Processing Letters, IEEE, 17 (1): 43-46.

  122. Jiang J., Khelifi F and Geven A (2009): "Computer-aided memory management via intelligent computations"  Journal of Assistive Technologies, Vol 3, No 3, pp27-35, OLM-Pavilion.

  123. Y.H. Peng, Z. Wu and J. Jiang (2009) ‘A Novel Feature Selection Approach for Biomedical Data Classification’, Journal of Biomedical Informatics, ELSEVIER doi:10.1016/j.jbi.2009.07.008 

  124. J H Y Alkhateeb, J Jiang, J Ren et al (2009) ‘Multiclass classification of unconstrained handwritten Arabic words using machine learning approaches’, The Open Signal Processing Journal, Bentham Science Publishers, Vol 2, pp21-28; 

  125. Ren J and Jiang J (2009): "Fusion of Intensity and Inter-component Chromatic Difference for Effective and Robust Colour Edge Detection "  IET Image Processing, IET. Vol 4, pp294-301;

  126. Nasir I., Weng Y. Jiang J., and Ipson S. (2009) “Multiple spatial watermarking technique in color images”, Signal, Image and Video Processing Journal, Vol 4, No 2, pp145-154, ELSEVIER;

  127. J. Jiang and Xiao G. (2009) ‘Object based pseudo-3D conversion of 2D videos’ Optical Engineering, Vol 48, 077007, SPIE, USA;

  128. Ren J. and Jiang J. ‘(2009): "Hierarchical Modelling and Adaptive Clustering for Real-time Summarization of Rush Videos"  IEEE Transactions on Multimedia, Vol 11, No 5, IEEE, pp906-917;

  129. J. H. AlKhateeb, J. Jiang, J. Ren, and S. S. Ipson (2009) ‘Component-based Segmentation of Words  from Handwritten Arabic Text’ Int. J. Computer Systems Science and Engineering, Vol. 5, No. 1, 2009, pp56-61;

  130. Xiao G. Jiang J. and Qiu K. (2009) ‘Automated activity detection from camera feed videos’, Imaging Science Journal, Vol 57, ISSN 1368-2199, pp191-196;

  131. Ren J., Jiang J. and Chen J. (2009) “Shot boundary detection in MPEG videos using local and global indicators”, IEEE Transactions on Circuits, Systems and Video Tech, Vol 19, No 3, pp1234-1238;

  132. Jiang J., Qiu K. and G. Xiao (2008) “An edge block content descriptor for MPEG compressed videos”, IEEE Transactions on Circuits, Systems and Video Tech. Vol 18, No 7, pp 994-998;

  133. Jiang Y., Jiang J. and Palmer I.J. (2008) ‘Computerised Interactive Gaming via Supporting Vector Machines’, International Journal of  Computer Games Technology, Vol 4, Hindawi, Article ID 186941 (invited as a result of the best paper award at International Conference on Computer Gaming and Relevant Technologies, Singapore, April 28~30 2008);

  134. Weng Y. and Jiang J. (2008) ‘Real-time and automatic close up retrieval from compressed videos’, International Journal of Automation and Computing, Vol 5, No 2, pp198-201, Springer, ISSN: 1476-8186 (invited as a result of the best paper award at the 13th International Conference on Automation and Computing, Stafford, September 13~15, 2007);

  135. J. Jiang, Feng G. and Yin Y. (2007) ‘Progressive content access to databases of JPEG compressed images’, IET Image Processing, Vol 1, No 2, 2007, pp 207-214, ISSN: 1751-9667;

  136. Jiang J., Z. Li and Xiao G. (2007) “Real-time shot cut detection in compressed domain’,Journal of Electronic Imaging, Vol 16, No 4, SPIE, 043011-1~6;

  137. J. Jiang and Feng G. (2007) ‘Robustness analysis of facial image description in DCT domain’, Electronic Letters, Vol 43, No 24, pp1354-1355;

  138. Gao L., Jiang J. et. al (2007) “PCA based approach for video scene change detection on compressed videos’, Electronic Letters, Vol 42, No 24, pp1389-1390;

  139. Jiang J. and Xiao G. (2006) “Adding lossless compression to MPEGs”, IEEE Transactions on Multimedia, Vol 18, No 3, pp622-625;

  140. Peng Y.H., Yao B. and Jiang J. (2006) "Knowledge-Discovery Incorporated Evolutionary Search for Microcalcification Detection in Breast Cancer Diagnosis" Artificial Intelligence in Medicine, Elsevier, Vol 37, No 1, pp43-53;

  141. H. Fang and J. Jiang (2006) ‘A fuzzy logic approach for detection of video shot boundaries’, Pattern Recognitions, Vol 39, pp2092-2100;

  142. J. Jiang and B. Yao (2006) ‘A genetic algorithm based microcalcification detection and classification for breast cancer screening’, Journal of Computerized Medical Imaging & Graphics, Vol 21, pp49-61, Elsevier;

  143. Jiang J., Weng Y. Guo B. and Feng Y. (2006) ‘A robust to rotation texture descriptor for image retrieval in wavelets domain’, Journal of Electronic Imaging, SPIE, Vol 15, No 1, pp013013, 1-8;

  144. Jiang J., Weng Y. and Li P. (2006) ‘Dominant colour extraction in compressed domain’, Image & Vision Computing Journal, Elsevier, Vol 24, pp1269-1277;

  145. Jiang J., Guo B.F. (2006) ‘Shape-based image retrieval for JPEG-2000 compressed image databases’, International Journal of Multimedia Tools and Applications, Vol 29, No 2, pp93-108 Springer,http://dx.doi.org/10.1007/s11042-006-0001-y;

  146. Jiang J. Xia J. and Xiao G. (2006) ‘MPEG based lossless video compression’, IEE Proceedings: Vision, Image & Signal Processing, Vol 153, No 2, pp244-252;

  147. J. Jiang, B. Yao and W.M. Wason (2005) ‘Integration of fuzzy logic and structure tensor towards mammogram contrast enhancement’, Journal of Computerized Medical Imaging and Graphics, Pergamon-Elsevier Science, Vol 29, Nol. 1, 2005, ISSN 0895-6111;

  148. Wu Z.Q, Ware A and Jiang J (2005) ‘Adaptive contrast enhancement based on highly overlapped interpolation’ Journal of Electronic Imaging, Vol 14, No 3, pp1-8, SPIE;

  149. Jiang J. and Weng Y. (2004) “Video Extraction for Fast Content Access to MPEG Compressed Videos” IEEE Transactions on Circuits, Systems and Video Technology, Vol 14, No 5, 2004,pp595-605;

  150. Jiang J., Armstrong A. and Feng G.C. (2004) ‘Web-based image retrieval in JPEG compressed domain’,  ACM Multimedia System Journal , Vol 9, No 5, pp 424-432

  151. Jiang J, Fang H. and Yang S.Y. (2004) ‘Low-cost and fast partial decoding of compressed videos’, Journal of Electronic Imaging, SPIE, 13 (2): 334-340;

  152. Feng G.C. and Jiang J (2003): "Image segmentation in compressed domain" Journal of Electronic Imaging, Vol .12, No.3, SPIE, pp390-397.

  153. Grecos C and Jiang J (2003), ‘On-line improvement of rate-distortion performance in MPEG-2 rate control’, IEEE Transactions on Circuit, Systems and Video Technology, Vol 13, No 6, pp519-528.

  154. Wu Z.Q, Ware A and Jiang J (2003) “Wavelet-based Rayleigh background removal in MRI”, Electronic Letters, IEE, Vol 39, No 7, pp603-605;

  155. Jiang J, M.G. Liu and C.H. Hou (2003)‘Integrated data compression and image indexing’, IEE Proceedings: Vision, Image and Signal Processing, Vol 150, No. 3, pp198-204;

  156. Feng G.C. and Jiang J. (2003): "Image extraction in DCT domain" IEE Proceedings: Vision, Image and Signal Processing, Vol 150, No. 1, pp20-27;

  157. Grecos C and Jiang J (2003): "Low Computational Cost Improvements of the Rate-Distortion Performance in MPEG-2 Rate Control" Real Time Imaging, Vol 9, No 1, Elsevier, pp41-48.

  158. Jiang J., Armstrong A.J. and Feng G.C. (2002): "Direct content access and extraction from JPEG compressed images" Pattern Recognition, ELSEVIER, Vol 35, pp 2511-2519;

  159. Jiang J ‘Image compression with neural networks – A survey’, Signal Processing: Image Communications, Vol 4, pp737-760, 1999;

  160. Jiang J. and Edirisinghe E.A. (2002): "A hybrid scheme for low-bit rate stereo image compression" IEEE Transactions on Imaging Processing, IEEE, 11 (2): 123-134;

  161. Jiang J. and Grecos C. (2002): "Towards an improvement of prediction accuracy in JPEG-LS" Optical Engineering, SPIE, 41 (2): 273-541;

  162. Jiang J and Armstrong A (2002): "A data hiding approach for efficient image indexing" Electronic Letters, IEE, Vol 38, No 23, pp 1424-1425;

  163. Feng G.C. and Jiang J. (2002) ‘JPEG compressed image retrieval via statistical features’, Pattern Recognition, Vol 36, No. 4, ELSEVIER, pp 977-985;

  164. Jiang J. and Feng G.C. (2002): "The spatial relationship of DCT coefficients between a block and its sub-blocks" IEEE Transactions on Signal Processing, IEEE, 50 (5): 1160-1169;

  165. Grecos C., Jiang J. and E.A. Edirisighe (2001) ‘Two low cost algorithms for improved diagonal edge detection in JPEG-LS’ IEEE Trans. On Consumer Electronics, Vol 47, No.3, pp466-473.

  166. Jiang, J., Grecos C.(2001) ‘Adding rate control to JPEG-LS’, Journal of Electronic Imaging, SPIE, Vol 10, No 3, pp 727-734;

  167. Jiang, J. and Grecos C. (2001) ‘A low cost design of rate controlled JPEG-LS near lossless image compression’, Image & Vision Computing Journal. Vol 19, No 3, ELSEVIER, ISSN: 0262-8856, pp153-164;

  168. Jiang, J. (2000) ‘A low cost content adaptive and rate controllable near lossless image codec in DPCM domain’ IEEE Trans. On Image Processing, Vol 9, No. 4, pp543-554;

  169. Edirisinghe E.A., Jiang, J. and Grecos C. ‘A shape adaptive padding technique for MPEG-4’ IEEE Trans. On Consumer Electronics,Vol 46, No. 3, 2000, pp 514-520, ISSN: 0098-3063;

  170. Jiang, J., Guo B., and Yang S.Y. (2000) ‘Revisit to JPEG-LS prediction scheme’ IEE Proceedings: Vision, Image and Signal Processing, Vol. 147, No.6, pp 575-580. ISSN: 1350-245X.

                   
                   
Research Institute for Future Media Computing,Shenzhen University 2014 - 2022