· Awards and Honors · 2 min read
Congratulations: AI Cube Laboratory's Inaugural Artificial Intelligence Challenge Successfully Concludes
The AI Cube Laboratory successfully held its inaugural "AI Cube Artificial Intelligence Challenge" from November 1–3, 2025. The competition was designed to stimulate enthusiasm for Python programming and foundational AI knowledge among all laboratory members through a "learning-by-competing" approach, showcasing the solid algorithmic foundations and outstanding innovative potential of participants, and injecting new vitality into the team's in-depth research in AI.
On November 3rd, the AI Cube Laboratory announced that its inaugural “AI Cube Artificial Intelligence Challenge” had successfully concluded under the guidance of Associate Professor Jianshe Feng and senior student Yizhang Zhu. To recognize outstanding performance, the laboratory established a prize pool totaling ¥3,000, awarded according to overall rankings. Li Yiyi claimed first prize for her exceptional performance, Chen Zexu took second prize, and Lin Yule received third prize. Following the competition, Associate Professor Jianshe Feng and Yizhang Zhu presented awards to the winners, summarized the learning activity, and encouraged all members to continue approaching future research with enthusiasm and rigor.
The challenge was divided into two stages: a “Prompt Engineering Challenge” and an “Algorithm Challenge.” The competition content was designed to balance creative AI application with foundational algorithmic programming, providing a comprehensive assessment of participants’ overall competencies and learning outcomes.
The competition featured a compact schedule and demanding problems. The fact that the prize winners were able to stand out in such an intensive contest is a genuine achievement. This reflects not only their individual learning ability and dedication, but also demonstrates the effectiveness and forward-thinking nature of the laboratory’s “learning-by-competing” training model.
The AI Cube Laboratory has always placed great emphasis on cultivating and guiding its members. By organizing internal learning activities and competitions, the laboratory encourages everyone to learn through practice and grow through challenge. This training model has greatly stimulated members’ interest in learning and has effectively developed their capacity for creative thinking and practical problem-solving.
The prize winners serve as strong role models for other members of the laboratory. Their success demonstrates that with sufficient enthusiasm for learning and a spirit of inquiry, it is entirely possible to achieve excellent results in high-level academic challenges. This is of great significance in motivating more members to actively engage in academic activities and strengthen their professional foundations.
The successful staging of this challenge has laid a solid foundation for the future development of all participants. Through the competition, members not only tested their knowledge of AI and algorithms, but also trained their logical thinking under pressure. These valuable experiences will provide strong support for their future research, graduate school applications, and career development.
