Track Co-chairs
|
Junhuan Zhang
Associate Professor
junhuan_zhang@buaa.edu.cn
Beihang University
|
|
Jiaqi Wen
Associate Professor
Dongbei University of Finance and Economics
|
Brief Introduction
This track highlights recent advances at the intersection of artificial intelligence, financial technology, and regulatory technology. It brings together theoretical and applied research on large language models, agent-based modeling, and data-driven intelligence for financial systems. Contributions are invited on innovative AI-driven frameworks for market microstructure, algorithmic trading, financial risk analysis, accounting, corporate finance and systematic regulation. The track promotes high-quality academic exchange on reliable, transparent, and efficient AI-enabled finance and regulation.
Topics
- Large Language Models for Financial Analysis, Trading and Regulatory Compliance
- Agent-Based and Multi-Agent Systems for Financial Market Microstructure
- AI Applications in Corporate Finance, Investment Decisions and Governance
- AI-Driven Accounting, Auditing, Financial Reporting and Compliance
- AI-Enhanced Risk Measurement, Financial Stability and Market Efficiency
- Data-Driven AI for Regulatory Oversight and Systemic Risk Monitoring
- Explainable AI, Fairness and Ethical Governance in FinTech and RegTech
- AI Applications in Financial Forecasting, Valuation and Investment Management
- AI-Driven Sustainable Finance, ESG Evaluation and Regulatory Compliance
- Blockchain, Digital Assets and AI-Enabled Decentralized Finance
|
