On July 14, internationally renowned statistician and Princeton University Tenured Professor Jianqing Fan visited our university at the invitation of the institution to conduct academic exchanges and provide guidance. The event featured an academic lecture, a session for young scholars to receive feedback, and one-on-one research guidance, establishing a high-level academic exchange platform for faculty and students.

In the morning, Professor Jianqing Fan delivered an academic lecture titled "Measuring Misinformation in Financial Markets." The session was chaired by Kunpeng Li, Member of the Standing Committee of the University Party Committee and Vice President. Faculty and students from the International School of Economics and Management, School of Statistics and Data Science, School of Artificial Intelligence, and other units attended the event, which featured lively on-site discussions and interactions.

In his presentation, Professor Jianqing Fan introduced his latest research with collaborators: leveraging machine learning and artificial intelligence to construct a framework for analyzing corporate misinformation. This approach achieves quantitative identification of misinformation through unstructured text conversion, extraction of "reliability-weighted consensus," and assessment of deviation levels. Findings indicate that companies with weaker financials or lower governance standards exhibit higher misinformation levels, which surge during major events and significantly impact investor behavior and asset returns. Faculty and students engaged in in-depth discussions with Professor Jianqing Fan on research methodologies and policy implications, sparking frequent intellectual exchanges.

Subsequently, Professor Jianqing Fan visited the School of Statistics and Data Science for academic exchange. Dean Tao Ren presided over the meeting, with faculty representatives participating in the exchange session. Young scholars from the School of Statistics and Data Science, along with researchers Yu Jing, Baolin Chen, and Zeren Zhou, delivered academic presentations. Professor Jianqing Fan provided detailed feedback and offered suggestions on research methodologies, interdisciplinary approaches, and future development directions. Both parties also held discussions on topics including cutting-edge developments in the field of statistics. Dean Tao Ren stated that the school will continue to strengthen exchanges and cooperation with internationally renowned statisticians to advance academic innovation and talent cultivation, thereby supporting the high-quality development of the discipline of statistics and data science.

At the conclusion of his visit, Professor Jianqing Fan conducted one-on-one research guidance sessions at the International School of Economics and Management, continuing his annual tradition of personally mentoring faculty members there. He listened to each faculty member's report on their research projects and academic papers, offering precise advice on critical aspects such as topic selection, theoretical frameworks, empirical strategies, and paper structure. He emphasized that research topics should address real-world challenges and align with academic frontiers, while abstracts must highlight the study's significance and innovation. Guiding revisions from a reviewer's perspective, he outlined specific pathways for improvement—from technical details to structural optimization—delivering systematic and in-depth personalized guidance. Faculty members participating in the guidance session included Ye Chen, Yuting Huang, Weiming Li, Yi Niu, Yucheng Sun, Taining Wang, Wen Xu, and Yinglin Zhang. This initiative enhanced the research capabilities of the International School of Economics and Management faculty while strengthening their confidence in pursuing academic excellence.

Professor Jianqing Fan's visit has injected new academic vitality into our university's fields of econometrics and statistics. Relevant schools will seize this opportunity to further expand the breadth and depth of international exchange and cooperation, continuously introduce cutting-edge global research findings and methodologies, and elevate both academic research standards and talent cultivation quality.

Moving forward, our school will persistently cultivate an open, collaborative, and innovative academic ecosystem. We will deepen international cooperation mechanisms, focus on building a high-caliber faculty, and nurture top-tier research talents with global perspectives and original capabilities. These efforts will provide robust support for the university's "Double First-Class" development goals.