This special session focuses on the cutting-edge research and technological innovation of artificial intelligence and large language models driven financial economic intelligence. The session centers on AI fundamental theories, model architectures, algorithm systems and technical applications in financial scenarios, including but not limited to: large model fine-tuning, representation learning and reasoning mechanisms for financial tasks, multi-modal AI for financial analysis, reinforcement learning and neural network models for quantitative investment, intelligent risk control algorithms, AI-driven credit evaluation and asset pricing, financial forecasting and early warning based on deep learning, trustworthy AI, explainable AI and privacy computing in finance, fintech and regulatory technology empowered by AI, as well as AI governance and risk control for intelligent financial systems.
We welcome high-quality original papers, technical reports and application works that highlight AI algorithm innovation, model optimization, system implementation and technical breakthroughs in financial economic scenarios. By promoting interdisciplinary research and industry–academia collaboration, this session seeks to advance the theoretical development, technical iteration and practical deployment of AI in financial applications, explore key technologies for safe, reliable and interpretable intelligent finance, and boost the technological innovation and sustainable development of AI-driven financial and economic systems.
Organizer: Dr. Jinshui Huang, Southwest Petroleum University, China
Dr. Jinshui Huang is a researcher focusing on the intersection of artificial intelligence, machine learning, and financial economics. His research interests include the applications of AI in financial markets, such as intelligent computing models, sentiment analysis, and the impact of digital interactive media on stock performance. He has published his work in international journals and conferences.
He is affiliated with the Financial Intelligence and Financial Engineering Key Laboratory of Sichuan Province. He has participated in several research projects supported by the National Natural Science Foundation of China and other funding bodies. He also serves as a reviewer for several SSCI and SCI journals, and is a member of the program committees for several international conferences in the fields of AI and management.
Co-organizer: Dr. Xiaoman Jin, Hebei University of Economics and Trade, China
Xiaoman Jin, female, born in 1995, is a Lecturer at Hebei University of Economics and Business. She is a native of Handan, Hebei Province, and holds a Ph.D. in Economics from Southwestern University of Finance and Economics. She serves as a Master’s supervisor and is a member of the China Computer Federation (CCF). She has acted as an anonymous reviewer for multiple SSCI journals and academic conferences. Her long-term research interests focus on the integration of finance and artificial intelligence, particularly the role and impact of emerging AI technologies in capital markets, and innovative perspectives on classic issues in finance. In recent years, She has served as the principal investigator for more than ten provincial and ministerial level research projects.
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