长期从事人工智能算法和图像处理研究，主要包括遥感图像去噪和重建、异常目标检测、跨模态智能融合。

主持项目：

国家自然科学基金青年项目（2023-2025）、天津市自然科学基金青年项目（2025-2026）

中国博士后科学基金站中特别资助（2023）、中国博士后科学基金面上项目（2022）、

遥感国家重点实验室开放基金（2024）、中国科学院特别研究助理项目（2021）

近5年代表论文：

[1] M. Wang, et. al., "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，ESI高被引).

[2] M. Wang, et. al., "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, 中科院一区, IF=16.2，ESI高被引)

[3] M. Wang*, et. al., "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，ESI高被引).

[4] M. Wang*, et. al., " 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, et. al., "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*, et. al., "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).