研究興趣 (Research interests)：

·3D計(jì)算機(jī)視覺(jué)與機(jī)器學(xué)習(xí)、視頻圖像高維數(shù)據(jù)編碼與理解、人眼或機(jī)器視覺(jué)質(zhì)量建模與評(píng)價(jià)

主持科研項(xiàng)目 (PI Projects)：

·國(guó)家自然科學(xué)基金-面上項(xiàng)目, #****2290, 50萬(wàn)。

·國(guó)家自然科學(xué)基金-青年項(xiàng)目, #****1310, 28萬(wàn)。

·廣東省自然科學(xué)基金-面上項(xiàng)目,#2024A1****11972, 15萬(wàn)。

·廣東省自然科學(xué)基金-面上項(xiàng)目, #2022A1****11245, 10萬(wàn)。

·廣東省自然科學(xué)基金-面上項(xiàng)目, #2019A1****10961, 10萬(wàn)。

·深圳市海外高層次科研經(jīng)費(fèi)項(xiàng)目, #2018****, 270萬(wàn)。

·深圳市自然科學(xué)基金-面上項(xiàng)目, #2022xxx, 30萬(wàn)。

·深圳市自然科學(xué)基金-面上項(xiàng)目,#JCYJ2018****6, 30萬(wàn)。

·深圳市自然科學(xué)基金-穩(wěn)定支持項(xiàng)目, #JCYJ****6, 14萬(wàn)。

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 類，影響因子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 類，影響因子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 類)

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 區(qū)，影響因子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 類)

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 類)

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 類)

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 區(qū)，影響因子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 類)

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 區(qū)，影響因子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 類)

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 類)

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 區(qū)，影響因子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 區(qū)，影響因子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 區(qū)，影響因子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 類)

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 區(qū)，影響因子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 區(qū)，影響因子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 類)

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 類)

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 類)

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 類)

招生信息 (Recruitments)：

·學(xué)術(shù)型：信息與通信工程（博士、碩士）。

·專業(yè)型：新一代電子信息技術(shù)（碩士）。

(1) 常年招聘專職研究人員，待遇35w+,請(qǐng)直接聯(lián)系我，來(lái)函必復(fù)！

(2) 組里招有潛力的數(shù)學(xué)·計(jì)算機(jī)·電子信息方向的攻讀博士、碩士學(xué)歷的學(xué)生，請(qǐng)直接聯(lián)系我【mhwangATszuDOTeduDOTcn】or 【QQ：13陸448陸438，請(qǐng)備注2025研究生】！

(3) 我們跟騰訊Tencent三大實(shí)驗(yàn)室 [AI Lab，優(yōu)圖，音視頻(多媒體)]、華為2012媒體實(shí)驗(yàn)室、商湯SenseTime、曠視MEGVII、大疆DJI、阿里AI、百度愛(ài)奇藝、快手、抖音等公司有深入合作！

要求：不預(yù)設(shè)以前背景，不滿足“有自控力做事情、毅力做事情、鉆研能力做事情”三條件的請(qǐng)勿聯(lián)系！

部分獲獎(jiǎng) (Awards)：

·2024 廣東省科技進(jìn)步一等獎(jiǎng)

·2024 廣東省計(jì)算機(jī)學(xué)會(huì)優(yōu)秀論文一等獎(jiǎng)

·2024 深圳大學(xué)百篇優(yōu)秀碩士畢業(yè)論文，指導(dǎo)老師

·2023 廣東省計(jì)算機(jī)學(xué)會(huì)優(yōu)秀論文二等獎(jiǎng)

·2023 全國(guó)大學(xué)生集成電路創(chuàng)新創(chuàng)業(yè)大賽二等獎(jiǎng)（華南賽區(qū))，指導(dǎo)老師

·2023 深圳大學(xué)百篇優(yōu)秀碩士畢業(yè)論文，指導(dǎo)老師

·2023 深圳大學(xué)優(yōu)秀畢業(yè)研究生，指導(dǎo)老師

·2022 深圳大學(xué)百篇優(yōu)秀本科畢業(yè)論文，指導(dǎo)老師

·2022 深圳大學(xué)優(yōu)秀畢業(yè)研究生，指導(dǎo)老師

·2021 IEEE ICME 優(yōu)秀審稿人獎(jiǎng)

·2021《美國(guó)數(shù)學(xué)建模競(jìng)賽MCM》特等提名獎(jiǎng)(Finalist)，指導(dǎo)老師

·2020 深圳大學(xué)教學(xué)單項(xiàng)獎(jiǎng)

·2020 年度騰訊益友獎(jiǎng)優(yōu)秀班主任

·2020《美國(guó)數(shù)學(xué)建模競(jìng)賽MCM》特等提名獎(jiǎng)(Finalist)，指導(dǎo)老師

其他信息 (Misc)：

·個(gè)人主頁(yè)：https://charwill.github.io/ （最新消息點(diǎn)擊此處跳轉(zhuǎn)）

·辦公室：致信樓（原信工樓）N802室