An, Bo

A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist

Zhang, W., Zhao, L., Xia, H., Sun, S., Sun, J., Qin, M., Li, X., Zhao, Y., Zhao, Y., Cai, X., et al. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 74

Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management

Wang, R., Wei, H., An, B., Feng, Z., & Yao, J. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 45

A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Yu, M., Meng, F., Zhou, X., Wang, S., Mao, J., Pang, L., Chen, T., Wang, K., Li, X., Zhang, Y., et al. (2025) · arXiv

Access Control and TrustAdversarial Robustness in Machine Learning

Cited by 34

A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Yu, M., Meng, F., Zhou, X., Wang, S., Mao, J., Pan, L., Chen, T., Wang, K., Li, X., Zhang, Y., et al. (2025) · Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2

Access Control and TrustAdversarial Robustness in Machine Learning

Cited by 34

EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading

Qin, M., Sun, S., Zhang, W., Xia, H., Wang, X., & An, B. (2023) · arXiv

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 29

Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities

An, B., Sun, S., & Wang, R. (2022) · IEEE Intelligent Systems

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 22

A simulation framework for measuring robustness of incentive mechanisms and its implementation in reputation systems

Liu, Y., Zhang, J., An, B., & Sen, S. (2016) · Autonomous Agents and Multi-Agent Systems

Evolutionary Game Theory and CooperationGame Theory and Applications

Cited by 16

Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts

Sun, S., Wang, X., Xue, W., Lou, X., & An, B. (2023) · Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 16