The 5th International Conference on Computer Graphics, Artificial Intelligence and Data Processing (ICCAID 2025) Concludes Successfully at Nanchang Hangkong University

On November 1, 2025, the 5th International Conference on Computer Graphics, Artificial Intelligence and Data Processing (ICCAID 2025) took place in the Second Lecture Hall of Yifu Building on the Qianhu Campus of Nanchang Hangkong University. The conference brought together researchers, faculty, and graduate students from around the world in the fields of computer graphics, artificial intelligence, and data processing. Held in a hybrid format, the event featured lively discussions on emerging technologies, innovative applications, and future trends.

       Group Photo

The opening ceremony began with a welcome address by Professor Wei Zheng, Dean of the School of Software at Nanchang Hangkong University. On behalf of the organizers, he extended a warm welcome to all participants and highlighted the conference’s goal of fostering high-quality academic exchange. The ceremony was hosted by Professor Lu Leng, also from the School of Software.

  Opening Ceremony

Following the opening ceremony, the conference moved into a series of keynote presentations delivered by four distinguished scholars from leading Chinese universities:

• Professor Yushu Zhang (Jiangxi University of Finance and Economics) presented on Image Privacy Protection, outlining his research across data-level, content-level, and feature-level protection strategies, offering new insights into the growing challenges of visual data security.

• Professor Qijun Zhao (Sichuan University) spoke on Animal Identification Methods and Applications Based on Audiovisual Computing, demonstrating how multimodal deep learning can efficiently identify species, distinguish individuals, and analyze animal behavior, showcasing the potential of AI in ecological conservation and rural development.

• Professor Lu Leng (Nanchang Hangkong University) shared his work on Discrete Discriminative Feature Representation, discussing its key advantages in pattern recognition and AI, particularly for efficient recognition in resource-constrained environments.

• Professor Qiegen Liu (Nanchang University) presented Generative Intelligent Medical Imaging for Raw Data Domain, introducing his team’s generative AI models that work directly on raw observational data to improve reconstruction in fast MRI, low-dose CT, and other medical imaging techniques.

The keynote session was chaired by Professor Zhihua Xie (Jiangxi Science and Technology Normal University).

Keynote Speeches

In the afternoon, parallel oral sessions and a graduate student forum were held. Young scholars and graduate students from institutions including Tsinghua University presented their latest findings on topics such as autonomous driving perception, marine mapping, medical image segmentation, and graph neural networks. Their presentations reflected the creativity and depth of the next generation of researchers.

Oral Presentations

The conference concluded with a closing ceremony. By bringing together scholars — especially early‑career researchers — the event provided an excellent platform for interdisciplinary dialogue and academic advancement.