On June 19, Mr. Shu Gu, Chairman of the Agricultural Bank of China, along with Mr. Zhaoyang Wang, Head of Agriculture-related Business and Office Director, Mr. Guoqiang Han, Head of the Shanghai Branch, and Mr. Guoxing Zhang, Deputy Head of the Shanghai Branch, visited the FinLLM Lab in the Shanghai AI-Finance School at ECNU. Professor Bing Mei, Chair of the University Council at ECNU, Vice-president Professor Qili Lei, Head of the United Front Work Department and Director of the ECNU’s Office Professor Huihong Zhang, Secretary of the School of Economics and Management Professor Hua Yue, and Dean of the School of Economics and Management Professor Desheng Yin, along with Dean of Shanghai AI-Finance School Professor Yilei Shao, accompanied Mr. Shu Gu and his colleagues during the visit.
Dean Yilei Shao introduced the construction of the FinLLM Lab
The FinLLM Lab serves as a pioneering research platform that deeply integrates AI technology with the financial sector, focusing on developing and applying large language models towards finance, and conducting cutting-edge research based on generative AI, enhancing service efficiency and precision in financial risk management, investment decision-making, and market analysis.
Dean Yilei Shao introduced the philosophy and objectives of the FinLLM Lab
Dean Yilei Shao explained that the FinLLM Lab has advanced computing facilities and data processing platforms. In terms of innovation and breakthroughs in fintech, the lab is committed to developing new financial tools and solutions through advanced AI and large language model technologies to enhance the intelligence level of the financial industry. To improve risk management, the lab will build an efficient risk warning and management system to help financial institutions better cope with market fluctuations and uncertainties by analyzing massive amounts of financial data. Moreover, the lab will utilize AI technology to provide accurate market forecasts and investment advice, helping investors optimize investment decisions and achieve better portfolio returns.
Mr. Shu Gu and his colleagues visited the FinLLM Lab
The FinLLM Lab’s main research areas include financial risk management, the development of AI financial analyst “Jason”, and the creation of a metaverse for financial markets. While introducing the lab's research development, Dean Shao emphasized that the lab will actively cooperate with well-known financial institutions, universities, and research institutions both domestically and internationally to cultivate talent with AI and financial knowledge, promote the development of fintech education, and create greater societal value.
The Assistant Researcher Mr. Junlin Wang Introduces “Jason” — an AI Financial Analyst
The Assistant Researcher in the Shanghai AI-Finance School Mr. Junlin Wang introduced an AI financial analyst named “Jason”. Unlike other large language models that rely on probabilistic inference, “Jason” is endowed with the thought patterns of a professional financial practitioner, showing strengths in understanding complex financial issues, insights, expressiveness, logic, and data. Mr. Wang explained that “Jason”, using the institute's proprietary trustable AI algorithms, avoids common hallucination issues and logical flaws seen in general large language models, becoming a valuable assistant for financial professionals. With its rigorous and logically sound capabilities, he can be widely applied across various financial institutions, effectively supporting decision-making and risk management.
Mr. Shu Gu’s Remarks
After the visit, Mr. Shu Gu highly praised the construction of the FinLLM and its developmental direction. He particularly appreciated the lab's strategic move to focus on credit finance and the development of AI Jason. He believes that this series of research efforts will play a crucial role in the innovative development of financial institutions. He also engaged in deep discussions about the opportunities and challenges faced by the lab, offering constructive suggestions on data security, financial risk control, and industry analysis.
East China Normal University and the Shanghai Branch of Agricultural Bank of China Sign Comprehensive Strategic Cooperation Agreement
After the visit, a comprehensive strategic cooperation agreement signing ceremony was held between East China Normal University and the Shanghai Branch of the Agricultural Bank of China at the Putuo Campus. Both groups will leverage their respective strengths in their fields, innovate cooperation models, establish a long-term, close, and stable strategic partnership between the university and the bank, construct a new pattern of collaboration, and continuously promote the implementation of in-depth cooperation in areas such as educational finance, financial technology, talent cultivation, and artificial intelligence.
Sources: ECNU;
Shanghai AI-Finance School, ECNU;
School of Economics and Management at ECNU
