胡清清

博士后

研究领域：数字文化遗产 多模态感知 人机交互

本科毕业于中国地质大学（武汉），后于澳门科技大学获得设计学硕士及博士学位。研究兴趣涵盖数字文化遗产、图像融合与多模态感知、AR/VR交互，以及基于EEG-fNIRS的多模态脑成像实验。通过设计学、人工智能、计算机视觉与认知神经科学等多学科方法，探索智能技术在文化遗产保护、数字内容生成、人机交互及复杂场景感知中的应用。相关成果发表于IEEE Sensors Journal、Measurement Science and Technology、Diabetology & Metabolic Syndrome等SCI期刊。曾获德国红点设计大奖、IDEA国际设计卓越大奖银奖等国内外专业奖项。

核心期刊论文

1. Hu, Q., Peng, Y., U, K., & Chen, J. (2026). MSFusion: A Degradation-Correctable Framework for Robust Infrared and Visible Image Fusion. IEEE Sensors Journal, 1-1. DOI: 10.1109/JSEN.2025.3640678. ((SCI，JCR Q1，IF：4.7)

2. Hu, Q., Xu, J., Peng, Y., Wang, J., & Huang, G. (2026). The application of AI-based interventions in diabetes personalized management: a systematic review and meta-analysis. Diabetology & Metabolic Syndrome. DOI: 10.1186/s13098-025-02079-8. ((SCI，JCR Q2，IF：4.9)

3.  Hu, Q., Peng, Y., & Zheng, Z. (2025). A deep learning framework for gender sensitive speech emotion recognition based on MFCC feature selection and SHAP analysis. Scientific Reports, 15(1), 28569. DOI: 10.1038/s41598-025-14016-w. ((SCI，JCR Q1，IF：4.9)

4. Hu, Q., Peng, Y., U, K., & Chen, J. (2026). The infrared-visible multimodal detection algorithm for urban traffic and safety perception. Measurement Science and Technology. DOI: 10.1088/1361-6501/ae4d6c. ((SCI，JCR Q1，IF：3.7)

5. Hu, Q., Peng, Y., Xu, J., Shao, Z., Tian, Z., & Chen, J. (2025). Adaptive Stylized Image Generation for Traditional Miao Batik Using Style-Conditioned LCM-LoRA Enhanced Diffusion Models. Mathematics, 13(12), 1947. DOI: 10.3390/math13121947. ((SCI，JCR Q1，IF：2.3)

6. Hu, Q., Peng, Y., K, U., & Zhao, S. (2025). Infrared and Visible Image Fusion Using a State-Space Adversarial Model with Cross-Modal Dependency Learning. Mathematics, 13(12), 1947. DOI: 10.3390/math13152333. (SCI，JCR Q1，IF：2.3)

7. Hu, Q., Peng, Y., Shao, Z., U, K., & Chen, J. (2026). Scene Degradation-Aware Fusion Network for Robust Infrared and Visible Image Synthesis in Extreme Conditions. The Visual Computer, 42, 48. DOI: 10.1007/s00371-025-04297-7. (SCI，JCR Q2，IF：3.4)

8. Hu, Q., Peng, Y., Zhang, C., Lin, Y., U, K., & Chen, J. (2025). Building Instance Extraction via Multi-Scale Hybrid Dual-Attention Network. Buildings, 15(17), 3102. DOI: 10.3390/buildings15173102. (SCI，JCR Q2，IF：3.4)

9. Peng, Y., Hu, Q., Xu, J., Huang, Y., Deng, C., & U, K. (2026). An EEG Signal Encryption Algorithm Based on Dual-Composite IT-ICMIC Chaotic Map and Adaptive Non-Uniform Partition. Biomedical Signal Processing and Control, 113, 108879. DOI: 10.1016/j.bspc.2025.108879. (SCI，JCR Q1，IF：5.7)

10. Peng, Y., Hu, Q., Xu, J., U, K. T., & Chen, J. (2025). A Novel Deep Learning Zero-Watermark Method for Interior Design Protection Based on Image Fusion. Mathematics, 13(6), 947. DOI: 10.3390/math13060947. (SCI，JCR Q1，IF：2.3)

11. Peng, Y., Hu, Q., Xu, J., Lin, C., Deng, C., Huang, Y., Wang, W., & U, K. (2025). A Robust Zero-Watermark Method Based on Deep Learning and Chaotic Permutation. The Visual Computer, 1-16. DOI: 10.1007/s00371-025-04028-y. (SCI，JCR Q2，IF：3.4)

12. Chen, W., Xu, J., Hu, Q., Peng, Y., Zhang, H., Zhang, J., & Chen, Z. (2025). A Novel Deep Learning Model for Motor Imagery Classification in Brain-Computer Interfaces. Information, 16(7), 582. DOI: 10.3390/info16070582. (SCI，JCR Q2，IF：4.3)

科研项目

澳门科学技术发展基金项目：《基于反馈学习和扩散模型的可建造空间设计研究》，2025，参与

国家社会科学基金重大委托项目：《中国民间工艺集成·澳门卷》，2023，参与

学术服务

担任以下SCI期刊审稿人：

npj Heritage Science

Results in engineering

Journal of King Saud University - Computer and Information Sciences

Scientific Reports

Multimedia Systems

BMC Infectious Diseases

Signal, Image and Video Processing

Discover Computing

Machine Vision and Applications

专业资质

VR应用技术及开发（高级）

人工智能算法工程师（高级）

大数据分析师（高级）