A federated learning-enabled predictive analysis to forecast stock market trends. - Saeid Pourroostaei Ardakani; Nanjiang Du; Chenhong Lin; Jiun-Chi Yang; Zhuoran Bi; Lejun Chen (J. Ambient Intell. Humaniz. Comput., 2023)

Evolution-Assisted Deep Reinforcement Learning for Fast Charging Station Coordinated Operation. - Xiaoying Yang; Yujing Gu; Fuhua Jia; Yiran Li 003; Hongru Wang 008; Nanjiang Du; Tianxiang Cui; Yujian Ye; Ruibin Bai (CEC, 2024)

Cardinality and Bounding Constrained Portfolio Optimization Using Safe Reinforcement Learning. - Yiran Li 003; Nanjiang Du; Xingke Song; Xiaoying Yang; Tianxiang Cui; Ning Xue; Amin Farjudian; Jianfeng Ren; Wooi Ping Cheah (IJCNN, 2024)

Enhancing Cryptocurrency Trading Strategies: A Deep Reinforcement Learning Approach Integrating Multi-Source LLM Sentiment Analysis. - Nanjiang Du; Yida Zhao; Jintao Wang; Yicheng Zhu; Siyu Xie; Luyao Yang; Yiru Tong; Shengzhe Xu; Wangying Zhang; Zecheng Tang; Kai Xu; Jianfeng Ren; et al. (CIFEr, 2025)