SCHOOL OF FUTURE DESIGN, BEIJING NORMAL UNIVERSITY
Hu Qingqing

Hu Qingqing

Postdoctoral Researcher

Research Areas

Digital Cultural Heritage · Multimodal Perception · Human–Computer Interaction

Academic Profile

She received her bachelor's degree from China University of Geosciences (Wuhan) and subsequently earned her master's and doctoral degrees in Design from Macau University of Science and Technology. Her research interests encompass digital cultural heritage, image fusion and multimodal perception, AR/VR interaction, and multimodal neuroimaging experiments using EEG-fNIRS. Drawing on interdisciplinary approaches from design, artificial intelligence, computer vision, and cognitive neuroscience, she investigates the applications of intelligent technologies in cultural heritage conservation, digital content generation, human–computer interaction, and perception in complex environments. Her research has been published in SCI-indexed journals, including IEEE Sensors Journal, Measurement Science and Technology, and Diabetology & Metabolic Syndrome. She has received national and international professional awards, including the Red Dot Design Award and a Silver Award in the International Design Excellence Awards (IDEA).

Journal Publications

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)

Research Projects

Science and Technology Development Fund of Macao: Research on Buildable Spatial Design Using Feedback Learning and Diffusion Models, 2025. Role: Project Participant.

National Social Science Fund of China, Major Commissioned Project: Compendium of Chinese Folk Arts and Crafts: Macao Volume, 2023. Role: Project Participant.

Academic Service

Reviewer for the following SCI-indexed journals:

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

Professional Qualifications

VR Application Technology and Development (Advanced)

Artificial Intelligence Algorithm Engineer (Advanced)

Big Data Analyst (Advanced)