The First Shenzhen-Hong Kong Symposium on Polynomial Optimization, hosted by the School of Mathematical Sciences at Shenzhen University and co-organized by the Shenzhen Institute of Hong Kong Baptist University, was successfully held at Shenzhen University's Yuehai Campus from December 20 to 21, 2025. Over 20 domestic and international experts and scholars from the French National Center for Scientific Research (CNRS), the Academy of Mathematics and Systems Science (AMSS) of the Chinese Academy of Sciences, and various universities and research institutions gathered to engage in in-depth discussions and exchanges on the latest research developments and frontier issues in polynomial optimization and its applications. Notable attendees included Jean-Bernard Lasserre, Researcher at CNRS, and Liu Xin, Researcher at AMSS.
The opening ceremony commenced as scheduled on the morning of December 20. Hu Yaohua, Vice Dean of the School of Mathematical Sciences at Shenzhen University, delivered the welcoming address on behalf of the school. Dean Hu extended a warm welcome to all experts and scholars, introduced the school's recent research achievements and talent cultivation outcomes in fundamental disciplines such as operations research and optimization. He highlighted the school's accomplishments in serving the development of the Guangdong-Hong Kong-Macao Greater Bay Area, promoting interdisciplinary collaboration, and advancing international cooperation. Dean Hu also outlined future plans and strategies for polynomial optimization and related fields. He expressed hope that this symposium would serve as an opportunity to further strengthen academic collaboration with domestic and international peers and establish a higher-level exchange platform.
The two-day symposium featured a comprehensive and tightly-paced program with 15 high-level academic presentations. Attendees delivered systematic reports and engaged in in-depth discussions on the theoretical foundations and algorithm design of polynomial optimization, as well as its applications in operations research, control, engineering, and data science. Presentations covered cutting-edge topics including Christoffel functions and moment methods, polynomial optimization and semidefinite programming, low-rank matrix and tensor optimization, high-order regularization and sparse optimization methods, as well as applications in quantum physics, data science, and machine learning. These topics fully demonstrated the latest advancements and interdisciplinary nature of the field. Faculty and students actively engaged in questioning and exchange, sparking vigorous discussions on theoretical issues and practical applications, fostering a vibrant academic atmosphere.
The successful convening of this conference not only strengthened academic connections among domestic and international experts in polynomial optimization research but also built a new bridge for collaboration between Shenzhen and Hong Kong in mathematics and related disciplines, further advancing cross-institutional and cross-regional collaborative innovation. The conference injected fresh momentum into theoretical breakthroughs and applied expansions within polynomial optimization, while offering young scholars and students invaluable learning and exchange opportunities. It holds significant positive implications for enhancing the influence of Shenzhen University's mathematics discipline and fostering long-term collaboration among scholars in Shenzhen, Hong Kong, and beyond.
