研究兴趣 (Research interests)：
主持科研项目 (Projects)：
国家自然科学基金-青年项目, #****1310, 2018.01-2020.12, 28万。
广东省自然科学基金-面上项目, #2022A1****11245, 2022.01-2024.12, 10万。
广东省自然科学基金-面上项目, #2019A1****10961, 2019.10-2022.09, 10万。
海外高层次科研经费项目, 2019.01-2021.12, 270万。
深圳市自然科学基金-面上项目, #JCYJ20180****24209486, 2019.01-2021.12, 30万。
深圳市自然科学基金-稳定支持项目, #JCYJxxxx6, 2021.01-2023.12, 14万。
我校-理工科基金, 2018.01-2021.12, 20万。
近三年代表作2019-2022 (Selected publications)：
1. M.Wang (本人), Y. Huang, J. Xiong, and W. Xie, “Low-light Images In-the-wild: A Novel Visibility Perceptionguided Blind Quality Indicator,” IEEE Transactions on Industrial Informatics, pp. 1–11, 2022. (中科院 1 区，影响因子 11.60)
2. M. Wang (本人), Z. Xu, X. Liu, J. Xiong, and W. Xie, “Perceptually Quasi-Lossless Compression of Screen Content Data via Visibility Modeling and Deep Forecasting,” IEEE Transactions on Industrial Informatics, pp. 1–11, 2022. (中科院 1 区，影响因子 11.60)
3. W. Xie, T. Huang, and M. Wang (本人, 通信作者 *), “MNSRNet: Multimodal Transformer Network for 3D Surface Super-Resolution,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12 703–12 712, 2022. (CCF A 类)
4. J. Xiong, H. Gao, M. Wang (本人, 通信作者 *), H. Li, K. N. Ngan, and W. Lin, “Efficient Geometry Surface Coding in V-PCC,” IEEE Transactions on Multimedia, pp. 1–11, 2022. (中科院 1 区，影响因子 6.513)
5. W. Xie, Z. Kuang, and M. Wang (本人, 通信作者 *), “SCIFI: 3D face reconstruction via smartphone screen lighting,” Optics Express, vol. 29, no. 26, pp. 43 938–43 952, 2021. (中科院 2 区，影响因子 3.894)
6. S. Tian, M. Wang (本人, 共同一作 #), N. Dai, H. Ma, L. Li, L. Fiorenza, Y. Sun, and Y. Li, “DCPR-GAN: dental crown prosthesis restoration using two-stage generative adversarial networks,” IEEE Journal of Biomedical and Health Informatics, vol. 26, no. 1, pp. 151–160, 2021. (中科院 1 区，影响因子 5.772)
7. M. Wang (本人), Y. Huang, J. Lin, W. Xie, G. Yue, S. Wang, and L. Li, “Quality Measurement of Screen Images via Foreground Perception and Background Suppression,” IEEE Transactions on Instrumentation and Measurement, vol. 70, pp. 1–11, 2021. (中科院 2 区，影响因子 4.016)
8. S. Tian, M. Wang (本人, 共同一作 #), F. Yuan, N. Dai, Y. Sun, W. Xie, and J. Qin, “Efficient computer-aided design of dental inlay restoration: A deep adversarial framework,” IEEE Transactions on Medical Imaging, vol. 40, no. 9, pp. 2415–2427, 2021. (中科院 1 区，影响因子 10.048)
9. J. Xiong, H. Gao, M. Wang (本人, 通信作者 *), H. Li, and W. Lin, “Occupancy map guided fast video-based dynamic point cloud coding,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 2, pp. 813–825, 2021. (中科院 1 区，影响因子 4.685)
10. X. Sun, S. Wang (本人, 通信作者 *), M. Wang, S. S. Cheng, and M. Liu, “An advanced LiDAR point cloud sequence coding scheme for autonomous driving,” in ACM International Conference on Multimedia (MM), pp. 2793–2801, 2020. (CCF A 类)
11. M. Wang (本人), W. Xie, and M. Cui, “Surface reconstruction with unconnected normal maps: An efficient mesh-based approach,” in ACM International Conference on Multimedia (MM), pp. 2617–2625, 2020. (CCF A 类)
12. S. Liu, L. Gao, Y. Lei, M. Wang (本人, 通信作者 *), Q. Hu, X. Ma, and Y.-D. Zhang, “SAR speckle removal using hybrid frequency modulations,” IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 5, pp. 3956–3966, 2020. (中科院 1 区，影响因子 5.855)
13. M. Wang (本人), W. Xie, J. Zhang, and J. Qin, “Industrial applications of ultrahigh definition video coding with an optimized supersample adaptive offset framework,” IEEE Transactions on Industrial Informatics, vol. 16, no. 12, pp. 7613–7623, 2020. (中科院 1 区，影响因子 9.112)
14. M. Wang (本人), J. Xiong, L. Xu, W. Xie, K. N. Ngan, and J. Qin, “Rate constrained multiple-QP optimization for HEVC,” IEEE Transactions on Multimedia, vol. 22, no. 6, pp. 1395–1406, 2019. (中科院 2 区，影响因子 5.452)
15. W. Xie, M. Wang (本人, 通信作者 *), M. Wei, J. Jiang, and J. Qin, “Surface reconstruction from normals: A robust dgp-based discontinuity preservation approach,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5328–5336, 2019. (CCF A 类)
16. M. Wang (本人), W. Xie, X. Meng, H. Zeng, and K. N. Ngan, “UHD video coding: A light-weight learningbased fast super-block approach,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 29, no. 10, pp. 3083–3094, 2019. (中科院 2 区，影响因子 4.046)
招生信息 (Recruitment)：
学术型硕士：信息与通信工程。
专业型硕士：电子与通信工程。
(1) 常年招聘博士后，待遇35w+,请直接联系我，来函必复！
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其他信息 (Misc.)：
