Recently, the finals of the 2nd CCF Algorithm Capability Competition (CACC) were held in Haishu District, Ningbo, Zhejiang Province. Organized by the China Computer Federation (CCF) under the theme Algorithms Change the Future, the competition targets current university students and practicing engineers, with its regional rounds covering over a thousand universities nationwide. The finals featured a 16-hour closed-book, hands-on coding test, with problems deeply integrating cutting-edge technologies such as AI and cybersecurity. Experts, scholars, and industry representatives from both academia and industry gathered together to discuss the latest advances, emerging applications, and future trends in algorithm technologies.
Jiang Yuzhe, a third-year undergraduate student (Class of 2023) from our school, achieved in-depth engineering optimization of the SAT (Boolean satisfiability problem), a classic NP-complete problem, using simulated annealing algorithms during the finals. He realized efficient search and convergence within a vast solution space, significantly improving the solving efficiency of complex logical verification. Meanwhile, in the AI Track task, which focused on the real-world application of medical image classification, he implemented efficient quantization of the Vision Transformer (ViT) model. By applying model quantization strategies to the ViT for image classification, he achieved model lightweighting and inference acceleration while maintaining high diagnostic accuracy for medical imaging. As a result, he won the Gold Award in the AI Track at the 2nd CCF Algorithm Capability Competition (CACC).
