Safe-FinRL: A Low Bias and Variance Deep Reinforcement Learning Implementation for High-Freq Stock Trading. - Zitao Song; Xuyang Jin; Chenliang Li (CoRR, 2022)

Amortized Network Intervention to Steer the Excitatory Point Processes. - Zitao Song; Wendi Ren; Shuang Li (CoRR, 2023)

From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization. - Zitao Song; Yining Wang; Pin Qian; Sifan Song; Frans Coenen; Zhengyong Jiang; Jionglong Su (Appl. Intell., 2023)

Amortized Network Intervention to Steer the Excitatory Point Processes. - Zitao Song; Wendi Ren; Shuang Li 002 (ICLR, 2024)

Latent Logic Tree Extraction for Event Sequence Explanation from LLMs. - Zitao Song; Chao Yang; Chaojie Wang 001; Bo An 001; Shuang Li 002 (ICML, 2024)

Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. - Wentao Zhang 007; Yilei Zhao 001; Shuo Sun; Jie Ying; Yonggang Xie; Zitao Song; Xinrun Wang; Bo An 001 (WWW, 2024)