研究兴趣 (Research interests)：

·3D计算机视觉与机器学习、视频图像高维数据编码与理解、人眼或机器视觉质量建模与评价

主持科研项目 (PI Projects)：

·国家自然科学基金-面上项目, #****2290, 2025.01-2028.12, 50万。

·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,#2024A1****11972, 2024.01-2026.12, 15万。

·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。

·深圳市海外高层次科研经费项目, #2018****, 2019.01-2021.12, 270万。

·深圳市自然科学基金-面上项目, #2022xxx, 2022.09-2024.08, 30万。

·深圳市自然科学基金-面上项目,#JCYJ2018****6, 2019.01-2021.12, 30万。

·深圳市自然科学基金-稳定支持项目, #JCYJ****6, 2021.01-2023.12, 14万。

近三年工作 (Selected publications)：

1. M. Wang (本人), Z. Xu, M. Xu, and W. Lin, “Blind Multimodal Quality Assessment of Low-light Images,” Springer International Journal of Computer Vision, vol. 128, pp. 1–21, 2024, (CCF A 类，影响因子19.5)

2. W. Xie, M. Wang (本人, 通信作者*), D. Lin, B. Shi, and J. Jiang, “Surface Geometry Processing: An Efficient Normal-based Detail Representation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 11, pp. 13 749–13 765, 2023. (CCF A 类，影响因子23.6)

3. M. Wang (本人), Y. Zhu, R. Zhang, and W. Xie, “MetaJND: A Meta-Learning Approach for Just Noticeable Difference Estimation,” International Joint Conference on Artificial Intelligence (IJCAI), pp. 1–9, 2024, (CCF A 类)

4. M. Wang (本人), Z. Xu, B. Zheng, and W. Xie, “BinaryFormer: A Hierarchical-Adaptive Binary Vision Transformer (ViT) for Efficient Computing,” IEEE Transactions on Industrial Informatics, pp. 1–12, 2024. (中科院 1 区，影响因子12.3)

5. M. Wang (本人), R. Zhang, L. Huang, and Y. Li, “Visual Redundancy Removal for Composite Images: A Benchmark Dataset and a Multi-Visual-Effects Driven Incremental Method,” AAAI Conference on Artificial Intelligence (AAAI), vol. 38, no. 6, pp. 10 189–10 197, 2024, (CCF A 类)

6. M. Wang (本人), R. Huang, H. Dong, D. Lin, Y. Song, and W. Xie, “msLPCC: A Multimodal-driven Scalable Framework for Deep LiDAR Point Cloud Compression,” AAAI Conference on Artificial Intelligence (AAAI), vol. 38, no. 6, pp. 5526–5534, 2024, (CCF A 类)

7. K. Wang, W. Xie, Y. Ju, and M. Wang (本人, 通信作者*), “pmBQA: Projection-based Blind Point Cloud Quality Assessment via Multimodal Learning,” ACM International Conference on Multimedia (MM), pp. 3250–3258, 2023, (CCF A 类)

8. M. Wang (本人), Z. Xu, and W. Xie, “ReferPose: Distance Optimization-based Reference Learning for Human Pose Estimation and Monitoring,” IEEE Transactions on Industrial Informatics, vol. 30, no. 3, pp. 4440–4450, 2024. (中科院1 区，影响因子12.3)

9. S. Wang, W. Xie, R. Zhang, and M. Wang (本人, 通信作者*), “Visual Redundancy Removal of Composite Images via Multimodal Learning,” ACM International Conference on Multimedia (MM), pp. 6765–6773, 2023, (CCF A 类)

10. Q. Bi, M. Wang (本人, 通信作者*), Y. Huang, M. Lai, Z. Liu, and X. Bi, “Ship Collision Avoidance Navigation Signal Recognition via Vision Sensing and Machine Forecasting,” IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 11, pp. 11 743–11 755, 2023. (中科院1 区，影响因子9.5)

11. W. Xie and M. Wang (本人, 通信作者*), “A Method of Micro-Geometric Details Preserving in Surface Reconstruction from Gradient,” ACM International Conference on Multimedia (MM), pp. 4798–4806, 2023, (CCF A 类)

12. T. Huang, W. Xie, and M. Wang (本人, 通信作者*), “3D Surface Super-resolution from Enhanced 2D Normal Images: A Multimodal-driven Variational AutoEncoder Approach,” International Joint Conference on Artificial Intelligence (IJCAI), pp. 1578–1586, 2023, (CCF A 类)

13. M. Wang (本人), Y. Huang, J. Xiong, and W. Xie, “Low-light Images In-the-wild: A Novel Visibility Perception-guided Blind Quality Indicator,” IEEE Transactions on Industrial Informatics, vol. 19, no. 4, pp. 6026–6036, 2022. (中科院1 区，影响因子11.648)

14. 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. 6865–6875, 2022. (中科院1 区，影响因子11.648)

15. X. Sun, M. Wang (本人, 通信作者*), J. Du, Y. Sun, S. S. Cheng, and W. Xie, “A Task-Driven Scene- Aware LiDAR Point Cloud Coding Framework for Autonomous Vehicles,” IEEE Transactions on Industrial Informatics, vol. 19, no. 8, pp. 8731–8742, 2023. (中科院1 区，影响因子11.648)

16. M. Wang (本人), Z. Xu, Y. Gong, W. Xie, and H. Li, “SCCR: Super-Complete Comparative Representation for Low-Light Image Quality Inference In-the-Wild,” ACM International Conference on Multimedia (MM), pp. 5219–5227, 2022. (CCF A 类)

17. X. Sun, M. Wang (本人, 通信作者*), R. Lin, Y. Sun, and S. S. Cheng, “Deep-learned Perceptual Quality Control for Intelligent Video Communication,” IEEE Transactions on Consumer Electronics, vol. 68, no. 4, pp. 354–365, 2022. (中科院2 区，影响因子4.414)

18. 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. 3329–3342, 2022. (中科院1 区，影响因子6.513)

19. T. Huang, W. Xie, and M. Wang (本人, 通信作者*), “MNSRNet: Multimodal Transformer Network for 3D Surface Super-Resolution,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 12 703–12 712, 2022. (CCF A 类)

20. S. Wang, W. Xie, S. Tian, L. Huang, Y. Liu, and M. Wang (本人, 通信作者*), “Just Noticeable Visual Redundancy Forecasting: A Deep Multimodal-driven Approach,” AAAI Conference on Artificial Intelligence (AAAI), pp. 2965–2973, 2022, (CCF A 类)

21. H. Dong, E. Ma, M. Wang (本人), W. Xie, Q. Guo, P. Li, and D. Lin, “CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion,” IEEE International Conference on Computer Vision (ICCV), pp. 8874–8883, 2023, (CCF A 类)

22. D. Lin, X. WANG, J. Shen, R. Zhang, R. Liu, M. Wang (本人), W. Xie, Q. Guo, and P. Li, “Generative Status Estimation and Information Decoupling for Image Rain Removal,” Advances in Neural Information Processing Systems (NeurIPS), vol. 35, pp. 4612–4625, 2022, (CCF A 类)

招生信息 (Recruitments)：

·学术型：信息与通信工程。

·专业型：新一代电子信息技术。

(1) 常年招聘博士后，待遇35w+,请直接联系我，来函必复！

(2) 组里招有潜力的数学·计算机·电子信息方向的高年级[本科生]以及攻读硕士学历的[2025级研究生]若干名，请直接联系我【mhwangATszuDOTeduDOTcn】or 【QQ：13陆448陆438，请备注2025硕士】！

(3) 我们跟腾讯Tencent三大实验室 [AI Lab，优图，音视频(多媒体)]、华为2012媒体实验室、商汤SenseTime、旷视MEGVII、大疆DJI、阿里AI、百度爱奇艺、快手、抖音等公司有深入合作！

要求：不预设以前背景，不满足“有自控力做事情、毅力做事情、钻研能力做事情”三条件的请勿联系！

部分获奖 (Awards)：

·2024 广东省科技进步一等奖

·2024 深圳大学百篇优秀硕士毕业论文，指导老师

·2023 广东省计算机学会优秀论文二等奖

·2023 全国大学生集成电路创新创业大赛二等奖（华南赛区)，指导老师

·2023 深圳大学百篇优秀硕士毕业论文，指导老师

·2023 深圳大学优秀毕业研究生，指导老师

·2022 深圳大学百篇优秀本科毕业论文，指导老师

·2022 深圳大学优秀毕业研究生，指导老师

·2021 IEEE ICME 优秀审稿人奖

·2021《美国数学建模竞赛MCM》特等提名奖(Finalist)，指导老师

·2020 深圳大学教学单项奖

·2020 年度腾讯益友奖优秀班主任

·2020《美国数学建模竞赛MCM》特等提名奖(Finalist)，指导老师

其他信息 (Misc)：

·个人主页：https://charwill.github.io/ （最新消息点击此处跳转）

·办公室：致信楼（原信工楼）N802室