The National Finals of 2nd "China Collegiate Computing Contest - AIGC Innovation Track", held from August 23 to 26, 2025, successfully concluded at the Yingbin Hotel in Dongguan City, Guangdong Province. The "MUST WIN" team, composed of postgraduate students Chen Li, Chen Jiacheng, and Cao Jiaming from the School of Computer Science and Engineering of Faculty of Innovation Engineering at Macau University of Science and Technology (MUST), and supervised by Professor Li Jianqing, Assistant Director of the School of Computer Science and Engineering, won the First Prize in the Hong Kong, Macau, and Taiwan Division (Application Track) and the Third Prize in the National Finals for their innovative project, "Lingyue Zhiping - A Teaching Intelligent Assistant Based on BlueLM Large Model and Multimodal Technology."
Group Photo of MUST Team: Chen Jiacheng, Chen Li and Cao Jiaming (from left)
As a top-tier competition platform in the field of computer science in China, the "China Collegiate Computing Contest", founded in 2016 by authoritative organizations including the Ministry of Education's Computer Science Teaching Advisory Committee. In this year, AIGC Innovation Track was co-hosted by Nankai University and vivo, and co-organized by the Dongguan Binhaiwan New Area Management Committee. It leverages vivo's self-developed BlueLM large model matrix to inspire innovation among university students nationwide, promote the development and application of cutting-edge AIGC technologies, and realize the widespread benefits of AI.
The award-winning project "Lingyue Zhiping" by the "MUST WIN" team from MUST is a web application designed specifically for primary and secondary school teachers. It deeply integrates advanced technologies such as the BlueLM 70B large model, BlueLM multimodal model, vivo's real-time short speech recognition, and BlueLM AI painting. The project aims to create an intelligent teaching assistant that combines features like smart conversational lesson planning, multimodal homework grading, personalized student academic report generation, and intelligent teaching resource recommendations. It effectively reduces teachers' workload, enhances efficiency, and contributes to the intelligent transformation of education.
Group Photo of the Third Prize in the National Finals
During the national finals, the "MUST WIN" team competed alongside teams from top universities across the country. With a solid technical foundation, innovative application scenarios, and outstanding live presentations, they earned high recognition from the judges. This award not only reflects the hard work and dedication of the team members but also fully demonstrates the MUST’s excellence in teaching and research in the fields of artificial intelligence and innovative engineering.
Looking ahead, the MUST will continue to encourage students to actively engage in technological innovation, strive for excellence in various high-level competitions, and cultivate more outstanding innovative talents for society.
Image source: Organizer of the China Collegiate Computing Contest – AIGC
