| 2026 | AAAI | Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts. | Hongcai He, Zetao Zheng, Anjie Zhu, Deqiang Ouyang, Jie Shao |
| 2024 | AAAI | Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills. | Hongcai He, Anjie Zhu, Shuang Liang, Feiyu Chen, Jie Shao |
| 2024 | AAAI | Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning. | Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu, Zetao Zheng, Zi Huang, Jie Shao |
| 2024 | ICDE | HIT: Solving Partial Index Tracking via Hierarchical Reinforcement Learning. | Zetao Zheng, Jie Shao, Feiyu Chen, Anjie Zhu, Shilong Deng, Heng Tao Shen |
| 2024 | ICDE | Cross-Insight Trader: A Trading Approach Integrating Policies with Diverse Investment Horizons for Portfolio Management. | Zetao Zheng, Jie Shao, Shilong Deng, Anjie Zhu, Heng Tao Shen, Xiaofang Zhou |
| 2023 | ACL | Abstract then Play: A Skill-centric Reinforcement Learning Framework for Text-based Games. | Anjie Zhu, Peng-Fei Zhang, Yi Zhang, Zi Huang, Jie Shao |
| 2023 | ADMA | Window-Controlled Sepsis Prediction Using a Model Selection Approach. | Shiyan Su, Su Lan, Zhicheng Zhang, Anjie Zhu |