| 2025 | WWW | HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer. | Wenyan Xu, Rundong Wang, Chen Li, Yonghong Hu, Zhonghua Lu |
| 2024 | ICLR | Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. | Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An |
| 2023 | APWEB | CCBTC: A Blockchain-Based Covert Communication Scheme over Bitcoin Transactions. | Rundong Wang, Bohao Li, Wei Ren, Jie He |
| 2023 | ICLR | Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. | Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu |
| 2022 | CIKM | DeepScalper: A Risk-Aware Reinforcement Learning Framework to Capture Fleeting Intraday Trading Opportunities. | Shuo Sun, Wanqi Xue, Rundong Wang, Xu He, Junlei Zhu, Jian Li, Bo An |
| 2021 | AAAI | Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. | Rundong Wang, Hongxin Wei, Bo An, Zhouyan Feng, Jun Yao |
| 2020 | ICLR | Learning Expensive Coordination: An Event-Based Deep RL Approach. | Zhenyu Shi, Runsheng Yu, Xinrun Wang, Rundong Wang, Youzhi Zhang, Hanjiang Lai, Bo An |
| 2020 | ICML | Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. | Rundong Wang, Xu He, Runsheng Yu, Wei Qiu, Bo An, Zinovi Rabinovich |
| 2020 | IJCAI | I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. | Rundong Wang, Runsheng Yu, Bo An, Zinovi Rabinovich |
| 2020 | RecSys | Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. | Xu He, Bo An, Yanghua Li, Haikai Chen, Rundong Wang, Xinrun Wang, Runsheng Yu, Xin Li, Zhirong Wang |