Cuijia

Dr. Jia Cui received his Ph.D. degree from the School of Design, The Hong Kong Polytechnic University, under the supervision of Professor Mingxi Tang between 2010 and 2015, with a research focus on Design Technology. After graduation, he joined the School of Information Science and Engineering at Shandong Normal University as a faculty member. In 2022, he joined the School of Design, South China University of Technology.

He has published more than 40 academic papers, including over 20 SCI/EI-indexed articles. As a principal investigator, he has led projects funded by the National Natural Science Foundation of China, the Provincial Natural Science Foundation, the Provincial Higher Education Science and Technology Program, and the Central Universities Basic Research Program. As a sub-project leader, he has participated in projects supported by the Hong Kong Research Grants Council (UGC) and the UNESCO Silk Road Interactive Map (Silkroad Atlas). He has also participated in multiple NSFC and provincial-level projects and has undertaken several industry–university collaborative projects with enterprises such as Huawei and Hisense.

Research Interests

With a dual background in computer science and design, Dr. Cui’s expertise spans across artificial intelligence, machine learning, computer vision, and intelligent design technologies. He has over 15 years of experience in CAD development and ACIS kernel programming. His main research areas include:

• Intelligent Design: Applications of deep learning and machine learning algorithms in design, AIGC (AI-generated content), and parametric design.

• Interaction Design: Human–computer interaction based on devices such as Kinect, MYO, and HTC VIVE.

• Derivation Design: Pattern inference and derivation based on ethnic styles.

• Design Intention and Evaluation: Studies on the generation and evolution of design thinking, design feature representation, and design aesthetic evaluation.

• Interdisciplinary Research: Integration of computer vision and design studies.

Selected Publications

• J. Cui et al., Community Transferrable Representation Learning for Image Style Classification, ACM Transactions on Multimedia Computing, Communications and Applications, 2025.

• J. Shen, R. Huang, C. Jiang, et al., Shared Feature Learning Algorithm for Style Diffusion, Journal of Zhejiang University (Engineering Science), 2025, 59(07):1403–1410+1442.

• L. Peng, Y. Liu, Y. Wei, J. Cui, and M. Qi, Reliability-aware Label Distribution Learning with Attention-rectified for Facial Expression Recognition, Applied Intelligence, vol. 55, no. 1, 2025.

• Q. Sun, J. Cui, and Z. Gu, Exploring Sentence-Level Text-Font Retrieval via Contrastive Learning, IEICE Transactions on Information and Systems, 2025.

• J. Cui, H. Jiang, M. Qi, Z. Gu, and H. Lu, SMART: Supervised Multi-class Image Retargeting Generative Model Based on a Long-range Sampling Strategy, Digital Signal Processing, vol. 154, 2024.

• Q. Sun, J. Cui, and Z. Gu, Extending CLIP for Text-to-font Retrieval, Proceedings of the 2024 International Conference on Multimedia Retrieval, pp. 1170–1174, 2024.

• G. Li, Y. Zheng, J. Cui, W. Gai, and M. Qi, DIM-UNet: Boosting Medical Image Segmentation via Diffusion Models and Information Bottleneck Theory Mixed with MLP, Biomedical Signal Processing and Control, vol. 91, 2024.

• M. Qi, Y. Liu, and J. Cui, A Mapping-based Redirected Walking Algorithm for Large-scale VR, Virtual Reality, vol. 27, no. 3, pp. 2745–2756, 2023.

• Y. Chen, X. Wang, Z. Liu, J. Cui, M. Osmani, and P. Demian, Exploring Building Information Modeling (BIM) and Internet of Things (IoT) Integration for Sustainable Building, Buildings, vol. 13, no. 2, 2023.

• J. Cui et al., PortraitNET: Photo-realistic Portrait Cartoon Style Transfer with Self-supervised Semantic Supervision, Neurocomputing, vol. 465, pp. 114–127, 2021.

• J. Cui and M.-X. Tang, Integrating Shape Grammars into a Generative System for Zhuang Ethnic Embroidery Design Exploration, Computer-Aided Design, vol. 45, no. 3, pp. 591–604, 2013.

• M. X. Tang and J. Cui, Supporting Product Innovation Using 3D Shape Grammars in a Generative Design Framework, International Journal of Design Engineering, vol. 5, no. 3, 2014.

(Full publication list available upon request.)

Selected Research Projects

• Creative Transformation of Lingnan Dong Ethnic Patterns (2024GZGJ17), Guangzhou Philosophy and Social Sciences “14th Five-Year Plan” Project, 2024–2026, Principal Investigator.

• Multimodal Memory Integration Model for Style Computing (A2416), State Key Laboratory of CAD&CG, Zhejiang University, 2024–2025, Principal Investigator.

• Intelligent Appearance Derivative Design Based on User Perception (2022ZYGXZR020), Fundamental Research Program for the Central Universities, 2022–2023, Principal Investigator.

• Design Knowledge Extraction and Representation Based on Behavioral Data (61502285), National Natural Science Foundation of China (NSFC), 2016–2018, Principal Investigator.

• Dynamic Shape Grammar for Design Visualization (ZR2014FQ013), Shandong Provincial Natural Science Foundation, 2015–2018, Principal Investigator.

• Application of Dynamic Shape Grammar in Design Visualization (J14LN08), Shandong Provincial Higher Education Science and Technology Program, 2014–2018, Principal Investigator.

Honors and Awards

• First Prize, Shandong Province Computer Application Achievement Award

• First Prize, Shandong Provincial Science and Technology Award

• Excellent Academic Paper Award, China Computer Federation (CCF)

Academic Service

• Member, China Computer Federation (CCF)

• Member, China Graphics Society (CGS)

• Affiliated Researcher, National Key Laboratory of Subtropical Architecture and Urban Science

• Reviewer for international journals including: Computer-Aided Design, Signal Processing, Neurocomputing, Journal of Engineering, Design and Technology, etc.

• Committee Member: AITC 2021–2023, AIPMV 2023.

Contact

Email:cuijia1247@scut.edu.cn