Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy. - Shilong Deng; Zetao Zheng; Hongcai He; Jie Shao 001 (ADMA (2), 2023)

Cooperation on the Fly: Exploring Language Agents for Ad Hoc Teamwork in the Avalon Game. - Zijing Shi; Meng Fang; Shunfeng Zheng; Shilong Deng; Ling Chen 006; Yali Du 001 (CoRR, 2023)

Large Language Models Are Neurosymbolic Reasoners. - Meng Fang; Shilong Deng; Yudi Zhang 007; Zijing Shi; Ling Chen 006; Mykola Pechenizkiy; Jun Wang 012 (AAAI, 2024)

HIT: Solving Partial Index Tracking via Hierarchical Reinforcement Learning. - Zetao Zheng; Jie Shao 001; Feiyu Chen 001; Anjie Zhu; Shilong Deng; Heng Tao Shen (ICDE, 2024)

Cross-Insight Trader: A Trading Approach Integrating Policies with Diverse Investment Horizons for Portfolio Management. - Zetao Zheng; Jie Shao 001; Shilong Deng; Anjie Zhu; Heng Tao Shen; Xiaofang Zhou 001 (ICDE, 2024)

Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data. - Shilong Deng; Zetao Zheng; Hongcai He; Paul Weng; Jie Shao 001 (AAAI, 2025)

From Natural Language to Extensive-Form Game Representations. - Shilong Deng; Yongzhao Wang 001; Rahul Savani (AAMAS, 2025)

Improving the Transferability of Adversarial Attacks by an Input Transpose. - Qing Wan; Shilong Deng; Xun Wang (CoRR, 2025)