近5年发表论文：

[1] M. Wang, Q. Wang, D. Hong, S. K. Roy and J. Chanussot, "Learning Tensor Low-Rank Representation for Hyperspectral Anomaly Detection," in IEEE Transactions on Cybernetics, vol. 53, no. 1, pp. 679-691, Jan. 2023. (SCI, JCR:Q1,中科院一区TOP, IF=11.8).

[2] M. Wang, D. Hong, Z. Han, J. Li, J. Yao, L. Gao, B. Zhang and J. Chanussot, "Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A comprehensive review," in IEEE Geoscience and Remote Sensing Magazine, doi: 10.1109/MGRS.2022.3227063, 2023. (SCI, JCR:Q1, 中科院二区, IF=14.6)

[3] M. Wang*, Q. Wang, J. Chanussot and D. Li, "Hyperspectral Image Mixed Noise Removal Based on Multidirectional Low-Rank Modeling and Spatial–Spectral Total Variation," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 1, pp. 488-507, Jan. 2021. (SCI, JCR:Q1, 中科院一区TOP, IF=8.2).

[4] M. Wang*, Q. Wang, J. Chanussot and D. Hong, " l0-l1 Hybrid Total Variation Regularization and its Applications on Hyperspectral Image Mixed Noise Removal and Compressed Sensing," in IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 9, pp. 7695-7710, Sept. 2021. (SCI, JCR:Q1, 中科院一区TOP, IF=8.2).

[5] M. Wang, D. Hong, B. Zhang, J. Yao, L. Ren, and J. Chanussot, "Learning Double Subspace Representation for Joint Hyperspectral Anomaly Detection and Noise Removal," in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3261964, 2023. (SCI, JCR:Q1, 中科院一区TOP, IF=8.2)

[6] M. Wang*, Q. Wang and J. Chanussot, "Tensor Low-Rank Constraint and l0 Total Variation for Hyperspectral Image Mixed Noise Removal," in IEEE Journal of Selected Topics in Signal Processing, vol. 15, no. 3, pp. 718-733, April 2021. (SCI, JCR:Q1, 中科院一区TOP，IF=7.5).

[7] M. Wang*, Q. Wang, J. Chanussot and D. Hong, "Total Variation Regularized Weighted Tensor Ring Decomposition for Missing Data Recovery in High-Dimensional Optical Remote Sensing Images," in IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, 2022. (SCI, JCR:Q1, 中科院二区，IF=4.8).

[8] M. Wang* and Q. Wang, "Hypergraph-regularized sparse representation for color image super resolution, " in Journal of Visual Communication and Image Representation, vol. 74, Jan. 2021. (SCI, JCR:Q2,中科院三区，IF=2.887).

[9] M. Bi, M. Wang*, Z. Li, and D. Hong, "Vision Transformer with Contrastive Learning for Remote Sensing Image Scene Classification, " in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 16, pp:738-749, 2023. (SCI, JCR:Q2, 中科院三区，IF=4.715).

[10] M. Wang, D. Hong, Y. Wu, L. Gao, and M. Huang, "Hyperspectral Anomaly Detection Using Tensor Low-Rank Representation, " 2022 10th China Conference on Command and Control. Springer, 2022: 127-132. (EI)

[11] M. Wang, Q. Wang and J. Chanussot, "l0 Gradient Regularized Low-Rank Tensor Model for Hyperspectral Image Denoising, "2019 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS). IEEE, 2019: 1-6. (EI)