The National Natural Science Foundation of China recently held the first review meeting on the new Student Basic Research Program. The review panel conducted interviews on outstanding applicants from eight universities, including the University of Science and Technology of China, Tsinghua University, and Peking University. Three undergraduates from SGY won the approval of the panel and the prestigious grants.

    Guan Junyu, majoring in physics, is sponsored for the project titled "Ultrahigh Density Optical Information Storage Combining Electron Beam Exposure and Rare Earth Ion Implantation". His research is supervised by Professor Xia Kangwei of the USTC School of Physical Sciences. The project proposes to break the diffraction resolution limit in optical information storage.

    Guo Yifan, majoring in mathematics, is sponsored for the project titled "Limited Bayesian Persuasion Theory and its Applications". His research is under the guidance of Professor Li Xiangyang of the USTC School of Computer Science and Professor Xu Haifeng of the University of Chicago. The project focuses on solving information asymmetry and information pricing issues. In recent years, the Bayesian persuasion theory has become an important breakthrough in the field of economics, establishing a new theoretical framework for information exchange and pricing.

    Liu Dong, majoring in mathematics, is sponsored for the project titled "Federated Learning: A Class of Dual ADMM Algorithm". He is under the guidance of Professor Wang Xueqin of the USTC School of Management. The project plans to introduce a variant of the alternating direction multiplier method into the federated learning framework. Multiple performance enhancing methods are to be combined in this project to develop new federated learning algorithms.

    The School of the Gifted Young encourages students to participate in scientific research, and focuses on cultivating their research and innovative abilities. Students have plenty of opportunities to find research directions that match their interests and talents, and strive to achieve a combination of "width" and "depth" in learning.