| 2026 | AAAI | Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts. | Hongcai He, Zetao Zheng, Anjie Zhu, Deqiang Ouyang, Jie Shao |
| 2025 | AAAI | Enhancing Online Reinforcement Learning with Meta-Learned Objective from Offline Data. | Shilong Deng, Zetao Zheng, Hongcai He, Paul Weng, 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 | ADMA | Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy. | Shilong Deng, Zetao Zheng, Hongcai He, Jie Shao |
| 2023 | ICDE | Relational Temporal Graph Convolutional Networks for Ranking-Based Stock Prediction. | Zetao Zheng, Jie Shao, Jia Zhu, Heng Tao Shen |
| 2020 | AIED | Learning from Interpretable Analysis: Attention-Based Knowledge Tracing. | Jia Zhu, Weihao Yu, Zetao Zheng, Changqin Huang, Yong Tang, Gabriel Pui Cheong Fung |
| 2019 | APWEB | Who Is the Abnormal User: Anomaly Detection Framework based on the Graph Convolutional Networks. | Zetao Zheng, Jia Zhu, Yong Tang, Jiabing Du |
| 2018 | CSCWD | A Keyword-based Scholar Recommendation Framework for Biomedical Literature. | Fen Yang, Jia Zhu, Jiaqi Lun, Zetao Zheng, Yong Tang, Jian Wu |