Selected Publications

  1. Y. Dong, W. Tan, D. Tao, L. Zheng, and X. Li, CartoonLoss-GAN: Learning surface and coloring of images for cartoonization, IEEE Transactions on Image Processing, vol. 31, pp. 485-498, 2022.

  2. Y. Dong, M. Jin, X. Li, J. Ma, Z. Liu, L. Wang, and L. Zheng, Compact interchannel sampling difference descriptor for color texture classification, IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 5, pp. 1684-1696, May 2021.

  3. X. Li, D. Song, and Y. Dong, Hierarchical feature fusion network for salient object detection, IEEE Transactions on Image Processing, vol. 29, pp. 9165-9175, 2020.

  4. X. Li, H. Li, and Y. Dong*, Meta learning for task-driven video summarization, IEEE Transactions on Industrial Electronics, , vol. 67, no. 7, pp. 5778-5786, July 2020.

  5. G. Liu, L. Li*, L. Jiao, Y. Dong*, X. Li, Stacked Fisher autoencoder for SAR change detection, Pattern Recognition, vol. 96, no. 106971, pp. 1-12, Dec. 2019.

  6. Y. Dong, H. Wu, X. Li, C. Zhou, and Q. Wu, Multiscale symmetric dense micro-block difference for texture classification, IEEE Transactions on Circuits and Systems for Video Technology. vol. 29, no. 12, pp. 3583-3594, 2019.

  7. X. Li, Q. Lu, Y. Dong* and D. Tao, Robust subspace clustering by Cauchy loss function, IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 7, 2067-2078, Jul. 2019.

  8. T. Wang, Y. Dong*, C. Yang, L. Wang, L. Liang, L. Zheng and J. Pu, Jumping and refined local pattern for texture classification, IEEE Access. vol. 6, no. 1, pp. 64416-64426, Dec. 2018.

  9. X. Li, K. Liu, and Y. Dong*, Superpixel-based foreground extraction with fast adaptive trimaps, IEEE Transactions on Cybernetics, vol. 48, no. 9, pp. 2609-2619, 2018.

  10. X. Li, K. Liu, Y. Dong*, and D. Tao, Patch alignment manifold matting, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 7, pp. 3214-3226, July, 2018.

  11. Y. Dong, J. Feng, C. Yang, X. Wang, L. Zheng, and J. Pu, Multi-scale counting and difference representation for texture classification, The Visual Computer. vol. 34, no. 10, pp. 1315-1324, 2018.

  12. X. Li, Q. Lu, Y. Dong* and D. Tao, SCE: A manifold regularized set-covering method for data partitioning, IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1760-1773, May, 2018.

  13. X. Li, G. Cui, and Y. Dong*, Graph regularized non-negative low-rank matrix factorization for image clustering, IEEE Transactions on Cybernetics, vol. 47, no. 11, pp. 3840 - 3853, Nov. 2017.

  14. X. Li, G. Cui, and Y. Dong*, Refined-graph regularization based nonnegative matrix factorization, ACM Transactions on Intelligent Systems and Technology, vol. 9, no. 1, pp. 1:1-1:21, Aug. 2017.

  15. Y. Dong, J. Feng, L. Liang, L. Zheng, Q. Wu, Multiscale sampling based texture image classification, IEEE Signal Processing Letters, vol 24, no. 5, pp. 614-618, May, 2017.

  16. Y. Dong, D. Tao, and X. Li, Nonnegative multiresolution representation based texture image classification, ACM Transactions on Intelligent Systems and Technology, vol. 7, no. 1, pp. 4:1-4:21, 2015.

  17. Y. Dong, D. Tao, X. Li, J. Ma and J. Pu, Texture classification and retrieval using shearlets and linear regression, IEEE Transactions on Cybernetics, vol. 45, no. 3, pp. 358-369, 2015.

  18. Y. Dong and J. Ma, Feature extraction through contourlet subband clustering for texture classification, Neurocomputing, vol.116, no. 9, pp. 157-164, 2013.

  19. Y. Dong and J. Ma, Bayesian texture classification based on contourlet transform and BYY harmony learning of Poisson mixtures, IEEE Transactions on Image Processing, vol 21, no. 3, pp 909-918, 2012.

  20. Y. Dong and J. Ma, Wavelet-based image texture classification using local energy histograms, IEEE Signal Processing Letters, vol. 18, no. 4, pp. 247-250, April 2011.

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