A research paper co-authored by School of International Education student R. Valiyev from Baku Engineering University (Azerbaijan) has been accepted for publication at the International Conference on Pattern Recognition (ICPR 2026), demonstrating the innovative research capabilities of our international students in the field of artificial intelligence.
School of International Education student, Cross-Border Research Team
Co-supervised by the School of Information Science and Technology and the School of International Education, this work features R. Valiyev as a core contributor. Throughout the project, Valiyev actively engaged in scientific research and innovation, collaborating closely with team members from both China and abroad. His contributions to the development of medical image recognition technology exemplify the School of International Education's commitment to fostering innovation and practical research skills among international students.
International Student Research and Innovation
The research focuses on intelligent medical image recognition, addressing the challenge of automatic detection of rare diseases and subtle lesions in clinical settings.Valiyev participated extensively in algorithm design and experimental validation, applying his knowledge and innovative thinking to achieve leading recognition performance across six international biomedical datasets and contributing creative solutions to computer-aided diagnosis technology.
Research Significance and Application Value
The research effectively improves the recognition accuracy of rare diseases and subtle lesions, offering new solutions for computer-aided diagnosis technology with significant clinical application value. It also represents an important achievement in our university's efforts to promote international research collaboration and cultivate globallyminded innovative talent.
The School of International Education remains dedicated to building research and innovation platforms for international students, encouraging participation in cutting-edge academic research while cultivating cross-cultural collaboration and creative problem-solving skills. The College will continue to advance international cooperation and support more international students in high-level innovation activities,contributing to the development of an open BUCT and the cultivation of internationally-oriented innovative talents.
Figure 1: Illustration of AI-based intelligent medical image recognition technology
Supervisor: Li Ruirui, Associate Professor, School of Information Science and Technology, Beijing University of Chemical Technology. Her research focuses on medical multimodal data analysis and artificial intelligence.
