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Computer Science:

    • 2018
  1. J. Korhonen, "Study of the Subjective Visibility of Packet Loss Artifacts in Decoded Video Sequences," in IEEE Transactions on Broadcasting (Early Access version), DOI: 10.1109/TBC.2018.2832465, May 2018.
  2. L. Bie, X. Wang, and J. Korhonen, "Subjective Assessment of Post-Processing Methods for Low Light Consumer Photos," in Proceedings of 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX), Sardinia, Italy, May 28-June 1, 2018.
  3. J. Korhonen, "Learning-based Prediction of Packet Loss Artifact Visibility in Networked Video," in Proceedings of 2018 Tenth International Conference on Quality of Multimedia Experience (QoMEX), Sardinia, Italy, May 28-June 1, 2018.
  4. Yingying Zhu, Gaoyang Tang, Xiaoyan Zhang, Jianmin Jiang, Qi Tian, Haze removal method for natural restoration of images with sky, Neruocomputing. 2018.pp499-510.
  5. Dongdong Gui, Sheng-hua Zhong*, Zhong Ming. Implicit affective video tagging using pupillary response. In Proceedings of the International Conference on Multimedia Modeling (MMM*18), 2018.
  6. Fang Wang, Sheng-hua Zhong*, Jianfeng Peng, Jianmin Jiang. Data Augmentation for EEG-based Emotion Recognition with Deep Convolutional Neural Networks. In Proceedings of the International Conference on Multimedia Modeling (MMM*18), 2018.
  7. Songtao Wu, Sheng-hua Zhong*, Yan Liu. Deep residual learning for image steganalysis. Multimedia Tools and Applications (MTAP), vol. 77(9), pp. 10437-10453, 2018. (IF: 1.53) Q2
  8. Wenhui Wu, Sam Kwong, Yu Zhou, Yuheng Jia, Wei Gao, Nonnegtive Matrix Factorization with Mixed Hypergraph Regularization for Community Detection, Information Sciences, accepted, 2018.
  9. Xu Wang, Lin Ma, Sam Kwong, Yu Zhou , Quaternion Representation Based Visual Saliency for Stereoscopic Image Quality Assessment, Signal Processing, accepted, 2018.
  10. Qinglong Chang, *Kwok-Wai Hung, Jianmin Jiang. Deep Learning Based Image Super-resolution for Nonlinear Lens Distortions. Neurocomputing, Volume 275, January 2018, Pages 969-982.
    • 2017
  1. Yingying Zhu, Jianmin Jiang, Wenlong Han, Ying Ding , Qi Tian, Interpretation of users* feedback via swarmed particles for content-based image retrieval, Information Science, 2017.01,375:246-257.
  2. Yingying Zhu, Junwei Liang, Jianyong Chen, Zhong Ming, An improved NSGA-III algorithm for feature selection used in intrusion detection, Knowledge-based Systems, 2017.01,116:74-85.
  3. Xiaoyan Zhang#, Daeseung Kim#, Shunyao Shen, et al., “An eFTD-VP framework for efficiently generating patient-specific anatomically detailed facial soft tissue FE mesh for craniomaxillofacial surgery simulation”, Biomechanics and Modeling in Mechanobiology,2017, 4:1-16.
  4. Boyu Yuan, Shen Tong, Xiaoyan Zhang, Liang Li, Chao Wang, “Automatic monitoring refractive index variations of transient solution during electrochemical reactions”, Measurement, 98, PP:10-16, 2017.
  5. Xiaoyan Zhang, Martin Constable, Kap Luk Chan, “Transfer of vignetting effect from paintings to photographs”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, 2017, 1957-1961.
  6. Xiaoyan Zhang, Kap Luk Chan, Martin Constable, “Pose-based composition improvement for portrait photographs”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, USA, 2017, 1962-1966.
  7. Rong-qin Xu, Sheng-hua Zhong*, Gaoyang Tang, Jiaxin Wu, Yingying Zhu. Adaptive Dehaze Method for Aerial Image Processing. In Proceedings of the Pacific-Rim Symposium on Image and Video Technology (PSIVT*17), 2017.
  8. Xingsheng Huang, Sheng-hua Zhong*, Zhijiao Xiao. Fine-art painting classification via two-channel deep residual network. In Proceedings of the Pacific-Rim Conference on Multimedia (PCM*17), 2017.
  9. Mingjie Zheng, Sheng-hua Zhong*, Songtao Wu, Jianmin Jiang. Steganographer detection via deep residual network. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME*17), pp. 235-240, 2017.
  10. Songtao Wu, Sheng-hua Zhong*, Yan Liu. Residual convolution network based steganalysis with adaptive content suppression. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME*17), pp. 241-246, 2017.
  11. Sheng-hua Zhong, Yanhong Li, Yan Liu, Zhiqiang Wang*. A computational investigation of learning behaviors in MOOCs. Computer Applications in Engineering Education (CAE), vol. 25(5), Sep. 2017, pp. 693-705. (IF:0.694) Q4 (WOS:000410722900004)
  12. Mengyuan Wu, Ke Li, Sam Kwong, Yu Zhou, Qingfu Zhang Matching-Based Selection With Incomplete Lists for Decomposition Multiobjective Optimization, IEEE Transactions on Evolutionary Computation, vol 21, no. 4, pp. 554-568, 2017.
  13. Yu Zhou, Sam Kwong, Hainan Guo, Xiao Zhang, Qingfu Zhang, A Two-phase Evolutionary Approach for Compressive Sensing Reconstruction, IEEE Transactions on Cybernetics, vol. 47, no. 9, pp.2651-2663, 2017.
  14. Yu Zhou, Sam Kwong, Junhui Hou, Single Image Superresolution by Multiple Geometrical Regressors, Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, Kuala Lumpur, Malaysia, 2017.
  15. H. Yuan, C. Guo, J. Liu, X. Wang, S. Kwong, Motion-Homogeneous Based Fast Transcoding Method from H.264/AVC to HEVC, IEEE Transactions on Multimedia, vol. 19, no. 7, pp. 1416-1430, Jul. 2017.
  16. Haiqiang Wang, Ioannis Katsavounidis, Jiantong Zhou, Jeonghoon Park, Shawmin Lei, Xin Zhou, Man-On Pun, Xin Jin, Ronggang Wang, X. Wang, Yun Zhang, Jiwu Huang, Sam Kwong, C.-C. Jay Kuo, VideoSet: A Large-Scale Compressed Video Quality Dataset Based on JND Measurement, Journal of Visual Communication and Image Representation, vol. 46, pp. 292-302, Jul. 2017.
  17. Yongkai Huo, P. T. Kovacs, T. J. Naughton, Lajos Hanzo. Wireless Holographic Image Communications Relying on Unequal Error Protected Bitplanes. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 66, NO. 8, AUGUST 2017.
  18. Daming Shi, Meilu Zhu, Yongqiang Zhang, Feng Tian: An advanced level set method based on Bregman divergence for inhomogeneous image segmentation. International Conference on Machine Learning and Cybernetics (ICMLC), pp.334-339, 2017
  19. Daming Shi, Jun Wang, Dansong Cheng, Junbin Gao: A global-local affinity matrix model via EigenGap for graph-based subspace clustering. Pattern Recognition Letters 89: 67-72 (2017)
  20. Yongqiang Zhang, Daming Shi, Junbin Gao, Dansong Cheng: Low-Rank-Sparse Subspace Representation for Robust Regression. International Conference on Computer Vision and Pattern Recognition (CVPR), pp.2972-2981, 2017.
    • 2016
  1. Y. Zhou, S. Kwong, W. Gao, X. Wang, A Phase Congruency based Patch Evaluator for Complexity Reduction in Multi-dictionary based Single-Image Super-Resolution, Information Sciences, vol. 367?68, pp. 337?53, Nov. 2016.
  2. L. Ma, X. Wang*, Q. Liu, K.-N. Ngan, Reorganized DCT-based Image Representation for Reduced Reference Stereoscopic Image Quality Assessment, Neurocomputing, vol. 215, pp. 21-31, Nov. 2016.
  3. 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;
  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. Yingying Zhu, Xiaoyan Huang, Qiang Huang, Qi Tian. Large-scale Video Copy Retrieval with Temporal-concentration SIFT, Neurocomputing, 2016.(accepted);
  6. Yingying Zhu, Zhengbo Jiang, Sheng-hua Zhong*. Video affective content analysis based on protagonist via convolutional neural network. In Proceedings of the Pacific-Rim Conference on Multimedia (PCM*16), 2016.
  7. Songtao Wu, Sheng-hua Zhong*, Yan Liu. Steganalysis via deep residual network. In Proceedings of the IEEE 22nd International Conference on Parallel and Distributed Systems (ICPADS*16), 2016.
  8. Sheng-hua Zhong, Jianxin Wu, Yingying Zhu*, Peiqi Liu, Jianmin Jiang, Yan Liu. Visual orientation inhomogeneity based convolutional neural networks. In Proceedings of the IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI*16), 2016.
  9. Mei Su, Sheng-hua Zhong*, Jianmin Jiang. Transfer learning based on A+ for image super-resolution. In Proceedings of the 9th International Conference on Knowledge Science, Engineering and Management (KSEM*16), 2016.
  10. 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.
  11. Jiaxin Wu,Sheng-hua Zhong*, Jianmin Jiang, Yunyun Yang. A novel clustering method for static video summarization. Multimedia Tools and Applications. 2016. DOI:
  12. Sheng-hua Zhong,Yan Liu*, To-Yee Ng, Yang Liu. Perception-oriented video saliency detection via spatio-temporal attention analysis.Neurocomputing . 2016. DOI:
  13. Sheng-hua Zhong, Qunbo Zhang, Zhengping Li, Yan Liu*. Motivations and challenges in MOOCs with eastern insights. International Journal of Information and Education Technology (IJIET). 6(12), 2016.
  14. 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).
  15. Y. Yang, X. Wang, Q. Liu, M. Xu, W. Wu, User Models of Subjective Image Quality Assessment on Virtual Viewpoint in Free-viewpoint Video System, Multimedia Tools and Applications, vol. 75, no. 20, pp. 12499-12519, Oct. 2016.
  16. Lin Ma, Xu Wang*, Qiong Liu, K.-N. Ngan, Reorganized DCT Domain based Reduced Reference 3D Image Quality Assessment, Neurocomputing, 2016.(accepted);
  17. 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.
  18. 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.
  19. Jun Wang, Daming Shi, Dansong Cheng, Yongqiang Zhang, Junbin Gao: LRSR: Low-Rank-Sparse representation for subspace clustering. Neurocomputing 214: 1026-1037 (2016)
    • 2015
  1. 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
  2. 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;
  3. 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.
  4. H. Yuan, S. Kwong, X. Wang, W. Gao, Y. Zhang, Rate Distortion Optimized Inter-View Frame Level Bit Allocation Method for MV-HEVC, IEEE Transactions on Multimedia, vol. 17, no. 12, .pp. 2134- 2146, Dec. 2015.
  5. 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;
  6. Yingying Zhu, Chuanhua Jiang, Xiaoyan Huang, Zhijiao Xiao, Sheng-hua Zhong*. A temporal-compress and shorter SIFT research on web videos. In Proceedings of the International Conference on Knowledge Science, Engineering and Management (KSEM*15), 2015.
  7. Sheng-hua Zhong, Yan Liu*, Kien A. Hua, Songtao Wu. Is noise always harmful? Visual learning from weakly related data. In Proceedings of the 2015 International Conference on Orange Technologies (ICOT*15), 2015.
  8. Songtao Wu, Yan Liu*, Sheng-hua Zhong, Yang Liu. What makes the stego image undetectable? In Proceedings of 7th ACM International Conference on Internet Multimedia Computing and Service (ICIMCS*15), 2015.
  9. Sheng-hua Zhong, Qun-bo Zhang, Zheng-ping Li, Yan Liu*. Motivations and challenges in MOOCs with eastern insights. In Proceedings of International Conference on Education and Management Technology (ICEMT*15), 2015.
  10. Jonathan I. Flombaum*, Sheng-hua Zhong, Bruno Jedynak, Huaibin Jiang. The microgenesis of information acquisition in visual 'popout'. In Proceedings of the 15th annual meeting of Vision Sciences Society (VSS*15), 2015.
  11. Sheng-hua Zhong, Yan Liu*, Qingcai Chen. Visual orientation inhomogeneity based scale-invariant feature transform. Expert Systems with Applications (ESWA). 42(13), 2015. (WOS:000355036900022)
  12. 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.
    • 2014 and earlier
  1. 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;
  2. Zhijiao 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;

Engineering:

    • 2018
  1. Xiaoyan Zhang, Zhuopeng Li, Martin Constable, Kap Luk Chan, Zhenhua Tang, and Gaoyang Tang, Pose-based Composition Improvement for Portrait Photographs, IEEE Transactions on Circuits and Systems for Video Technology, DOI 10.1109/TCSVT.2018.2817231,2018.
    • 2017
  1. Wei Gao, Sam Kwong, Yuheng Jia. Joint Machine Learning and Game Theory for Rate Control in High Efficiency Video Coding. IEEE Transactions on Image Processing, vol. 26, no. 12, pp. 6074-6089, Dec. 2017.
    • 2015
  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. 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..
  6. 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);
Research Institute for Future Media Computing,Shenzhen University 2014 - 2018