Degrees

PhD,  Precision Instrument and Machinery, Hefei University of Technology, 2003

BSc, Precision Instrument, Hefei University of Technology, 1998

Professional Activities

Local Chair, 2015 IEEE International Workshop on Multimedia Signal Processing, Xiamen, China, 19-21 October 2015

Publication Co-Chairs，Internation al Symposium on Intelligent Signal Processing and Communication Systems, Xiamen, 2017

Projects

Bayesian nonparametric methods for compressed sensing MRI using partial k-space decompositionscourse Analysis (NNSF 2016)

Selected Publications

[1] Fu X, Zeng D, Huang Y, Zhang XP, Ding X*, 2016. A weighted variational model for simultaneous reflectance and illumination estimation. In Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR2016), Las Vegas, NV, USA (IEEE: EI).

[2] Jiang Y, Ding X*, Zeng D, Huang Y, Paisley J, 2015. Pan-sharpening with a Hyper-Laplacian penalty. In Proceedings of IEEE International Conference on Computer Vision (ICCV2015), Santiago, Chile, pp. 540-548 (IEEE: EI).

[3] Ding X*, Jiang Y, Huangand Y, Paisley J, 2014. Pan-sharpening with a Bayesian nonparametric dictionary learning model. In Proceedings of International Conference on Artificial Intelligence and Statistics (AISTATS2014), Reykjavik, Iceland, pp. 176-184 (EI).

[4] Fu X, Liao Y, Zeng D, Huang Y, Zhang XP, Ding X*, 2015. A probabilistic method for image enhancement with simultaneous illumination and reflectance estimation. IEEE Transactions on Image Processing, 24(12): 4965-4977 (IEEE: SCI/EI).

[5] Huang Y, Paisley J, Lin Q, Ding X*, Fu X, Zhang XP, 2014. Bayesian nonparametric dictionary learning for compressed sensing MRI. IEEE Transactions on Image Processing, (23)12: 5007-5119 (IEEE: SCI/EI).

[6] Ding X*, He L, Carin L, 2015. Bayesian robust principal component analysis, IEEE Transactions on Image Processing, 20(12): 3419-3430, 2011. (IEEE: SCI/EI).

[7] Huang Y, Wu R, Sun Y, Wang W, Ding X*, 2015. Vehicle logo recognition system based on convolutional networks with a pre-training strategy. IEEE Transactions on Intelligent Transportation Systems, 16(4): 1951-1960 (IEEE: SCI/EI).

[8] Chai J*, Chen Z, Chen H, Ding X, 2016. Designing bag-level multiple-instance feature-weighting algorithms based on the large margin principle. Information Sciences, 367: 783–808 (Elsevier: SCI/EI).

[9] Chai J*, Ding X, Chen H, Lia T, 2014. Multiple-instance discriminant analysis. Pattern Recognition, 47(7): 2517-2531 (Elsevier: SCI/EI).

[10] Fu X, Zeng D, Huang Y, Liao Y, Ding X*, Paisley J, 2016. A fusion-based enhancing method for weakly illuminated images. Signal Processing, 129: 82-96 (Elsevier: SCI/EI).

[11] Zhuang P, Fu X, Huang Y, Zeng D, Ding X*, 2016. A novel framework method for non-blind deconvolution using subspace images priors. Signal Processing: Image Communication, 46: 17-28 (Springer: SCI/EI).

[12] Zhuang P, Huang Y, Zeng D, Ding X*, 2016. Mixed noise removal based on a novel non-parametric Bayesian sparse outlier model. Neurocomputing, 174: 858-865 (Elsevier: SCI/EI).

[13] Fu X, Wang J, Zeng D, Huang Y, Ding X*, 2015. Remote sensing image enhancement using regularized-histogram equalization and DCT. IEEE Geoscience and Remote Sensing Letters, 12(11): 2301-2305 (IEEE: SCI/EI).

[14] Ding X, Chen L, Zheng X, Huang Y, Zeng D*, 2016.  Single image rain and snow removal via guided L0 smoothing filter. Multimedia Tools and Applications, 75(5): 2697-2712 (Springer: SCI/EI).

[15] Huang Y, Chen X, Ding X*, 2016. A harmonic means pooling strategy for structural similarity index measurement in image quality assessment. Multimedia Tools and Applications, 75(5): 2769-2780 (Springer: SCI/EI).

[16] Huang Y, Chen X, Zhang J, Zeng D, Zhang D, Ding X*, 2015. Single-trial ERPs denoising via collaborative filtering on ERPs images. Neurocomputing, 149: 914-923 (Elsevier: SCI/EI).