The 23rd China National Computer Congress (CNCC 2026), hosted by the China Computer Federation (CCF), was held in Chengdu from October 21 to 24, featuring the 2026 CCF Science and Technology Achievement Awards ceremony. The project Key Technologies and Applications of Cross-Domain Collective Intelligence Collaboration for Judicial Large Language Models in Financial Services, led by Professor Yang Xin from the School of Computer Science and Artificial Intelligence at SWUFE, won Third Prize in the Science and Technology Progress category of the 2026 CCF Science and Technology Achievement Awards. With SWUFE serving as the lead institution, this achievement marks a new breakthrough for the university.
The project was jointly developed through close collaboration between Professor Yang Xin and Professor Li Zhiyong from the School of Finance, in partnership with China Judicial Big Data Research Institute Co., Ltd., and with contributions from doctoral students Yu Hao, Cao Xuemei and other team members. It represents a significant achievement in SWUFE's efforts to advance its New Finance and Economics strategy, deepen the integration of finance, technology and interdisciplinary research, and strengthen organized research.
Moving forward, SWUFE will continue to focus on key areas such as financial technology and digital governance, supporting cutting-edge research and industry–university–research collaboration in computer science and artificial intelligence. The university will strive to produce more high-quality research outcomes with strong potential for practical application, contributing SWUFE's expertise to China's efforts to build itself into a financial powerhouse and advance the Digital China initiative.
Established by the China Computer Federation, the CCF Science and Technology Achievement Award is a prestigious award recognizing outstanding achievements that have made significant discoveries, inventions or original innovations in computer science, technology or engineering, and have demonstrated international influence in their respective fields. Among the 36 projects receiving awards this year, 23 universities, including Peking University and Tsinghua University, served as the lead institutions.
