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Computer Science:

  1. Sheng-hua Zhong, Yan Liu*, Kien A. Hua. Field effect deep networks for image recognition with incomplete data, ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 12(4), 2016.
  2. Jiaxin Wu,Sheng-hua Zhong, Jianmin Jiang, Yunyun Yang. A novel clustering method for static video summarization. Multimedia Tools and Applications. 2016. DOI:
  3. Sheng-hua Zhong,Yan Liu, To-Yee Ng, Yang Liu. Perception-oriented video saliency detection via spatio-temporal attention analysis.Neurocomputing . 2016. DOI:
  4. Song X, Zhang J., Han Y, Jiang J "Semi-Supervised Feature Selection via Hierarchical Regression for Web Image Classification", Multimedia Systems (MMSJ), 22(1), pp 41-49, 2016.
  5. 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
  6. 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;
  7. 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.
  8. Zhang J., Han Y. and Jiang J. ‘Tucker decomposition Based Tensor Learning for Human Action Recognition’, Multimedia Systems, Springer, Vol 22, pp343-353, June 2016;
  9. 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;
  10. 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;
  11. hijiao Xiao, Zhong Ming. A method of workflow scheduling based on colored Petri nets, Data &Knowledge Engineering.Volume 70, Issue 2, February 2011, Pages 230–247;
  12. Hui Yuan, Sam Kwong, Xu Wang, Yun Zhang, A Virtual View PSNR Estimation Method for 3D Video IEEE Transactions on Broadcasting., (2015, in press, DOI: 10.1109/TBC.2015.2492461);
  13. Hui Yuan, Sam Kwong, Xu Wang, Wei Gao, Yun Zhang, Rate Distortion Optimized Inter View Frame Level Adaptive Bit Allocation for MV-HEVC, IEEE Transactions on Multimedia,vol. 17, no. 12, .pp. 2134- 2146, Dec. 2015.
  14. Yingying Zhu,Xiaoyan Huang,Qiang Huang,Qi Tian.Large-scale Video Copy Retrieval with Temporal-concentration SIFT, Neurocomputing, 2016.(accepted);
  15. Lin Ma, Xu Wang*, Qiong Liu, K.-N. Ngan, Reorganized DCT Domain based Reduced Reference 3D Image Quality Assessment, Neurocomputing, 2016.(accepted);
  16. H. Yuan, S. Kwong, X. Wang, Y. Zhang, F. Li, “A Virtual View PSNR Estimation Method for 3-D Videos”, IEEE Transactions on Broadcasting, vol. 62, no. 1, pp. 134-140, Mar. 2016.
  17. H. Kong, Z. Lai, X. Wang, F. Liu,“Breast Cancer Discriminant Feature Analysis for Diagnosis via Jointly Sparse Learning”, Neurocomputing,[2].vol. 177, pp. 198-205, Feb. 2016.
  18. Y. Zhou, S. Kwong, H. Guo, W. Gao, X. Wang, “Bilevel Optimization of Block Compressive Sensing with Perceptually Nonlocal Similarity”, Information Sciences, [4].doi: 10.1016/j.ins.2016.03.027).

Engineering:

  1. Jiang J and Song X. (2015) ‘An optimized high order CRF for automated labelling and segmentation of video objects’, Accepted for publication by: IEEE Transactions on Circuits & Systems for Video Technology, IEEE, USA;
  2. Li K, Zhu Y., and Jiang J (2015) ‘Video Super-Resolution Using an Adaptive Superpixel-Guided Auto-Regressive Model’,Accepted for publication by: Pattern Recognition, ELSEVIER;
  3. Sheng-hua Zhong, Yan Liu, Bin Li, Jing Long, Query-oriented unsupervised multi-document summarization via deep learning model,2015, Expert Systems with Applications, 42, 21, 8146-8155;
  4. Sheng-hua Zhong, Yan Liu, Qing-cai Chen, Visual orientation inhomogeneity based scale-invariant feature transform,2015, Expert Systems with Application,42,13, 5658-5667.
  5. Wei Gao, Sam Kwong, Hui Yuan, Xu Wang, DCT Coefficient Distribution Modeling and Quality Dependency Analysis Based Frame-level Bit Allocation for HEVC, IEEE Transactions on Circuits and Systems for Video Technology, (2015, in press, DOI: 10.1109/TCSVT.2015.2444671);
  6. Yun Zhang, Sam Kwong, Xu Wang, Zhaoqing Pan, Hui Yuan, Long Xu, Machine Learning based CU Depth Decision for Flexible Complexity Allocation in High Efficiency Video Coding, IEEE Transactions on Image Processing,vol. 24, no. 7, pp. 2225-2238, Jul. 2015..
Research Institute for Future Media Computing,Shenzhen University 2014 - 2017