Inducing Cooperation via Team Regret Minimization based Multi-Agent Deep Reinforcement Learning. - Runsheng Yu; Zhenyu Shi; Xinrun Wang; Rundong Wang; Buhong Liu; Xinwen Hou; Hanjiang Lai; Bo An 001 (CoRR, 2019)

Time-Optimal Trajectory Planning Based on Dynamics for Industrial Robot. - Rundong Wang; Minxiu Kong; Yanchun Cheng; Marco Castellani 001 (CACRE, 2020)

Analysis of Kinematic Relationship of Superposition Cooperative Dual-Industrial Robot. - Minxiu Kong; Rundong Wang; Yanchun Cheng; Jubo Yang (CIPAE, 2020)

Learning Expensive Coordination: An Event-Based Deep RL Approach. - Zhenyu Shi; Runsheng Yu; Xinrun Wang; Rundong Wang; Youzhi Zhang 001; Hanjiang Lai; Bo An 001 (ICLR, 2020)

Learning Efficient Multi-agent Communication: An Information Bottleneck Approach. - Rundong Wang; Xu He; Runsheng Yu; Wei Qiu 001; Bo An 001; Zinovi Rabinovich (ICML, 2020)

I²HRL: Interactive Influence-based Hierarchical Reinforcement Learning. - Rundong Wang; Runsheng Yu; Bo An 001; Zinovi Rabinovich (IJCAI, 2020)

Learning to Collaborate in Multi-Module Recommendation via Multi-Agent Reinforcement Learning without Communication. - Xu He; Bo An 001; Yanghua Li; Haikai Chen; Rundong Wang; Xinrun Wang; Runsheng Yu; Xin Li; Zhirong Wang (RecSys, 2020)

MetaInfoNet: Learning Task-Guided Information for Sample Reweighting. - Hongxin Wei; Lei Feng 006; Rundong Wang; Bo An 001 (CoRR, 2020)

Commission Fee is not Enough: A Hierarchical Reinforced Framework for Portfolio Management. - Rundong Wang; Hongxin Wei; Bo An 001; Zhouyan Feng; Jun Yao (AAAI, 2021)

Transferable Environment Poisoning: Training-time Attack on Reinforcement Learning. - Hang Xu; Rundong Wang; Lev Raizman; Zinovi Rabinovich (AAMAS, 2021)

RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents. - Wei Qiu 001; Xinrun Wang; Runsheng Yu; Rundong Wang; Xu He; Bo An 001; Svetlana Obraztsova; Zinovi Rabinovich (NeurIPS, 2021)

Defensive Compressive Time Delay Estimation Using Information Bottleneck. - Yiming Li; Rundong Wang; Yulin Hu; Junan Yang; Xiaoxia Cai (IEEE Signal Process. Lett., 2021)

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 001 (CIKM, 2022)

Attention over Self-attention: Intention-aware Re-ranking with Dynamic Transformer Encoders for Recommendation. - Zhuoyi Lin; Sheng Zang; Rundong Wang; Zhu Sun 001; Chi Xu; Chee Keong Kwoh 001 (CoRR, 2022)

DeepScalper: A Risk-Aware Deep Reinforcement Learning Framework for Intraday Trading with Micro-level Market Embedding. - Shuo Sun; Rundong Wang; Xu He; Junlei Zhu; Jian Li; Bo An 001 (CoRR, 2022)

Quantitative Stock Investment by Routing Uncertainty-Aware Trading Experts: A Multi-Task Learning Approach. - Shuo Sun; Rundong Wang; Bo An 001 (CoRR, 2022)

Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities. - Bo An 001; Shuo Sun; Rundong Wang (IEEE Intell. Syst., 2022)

CCBTC: A Blockchain-Based Covert Communication Scheme over Bitcoin Transactions. - Rundong Wang; Bohao Li; Wei Ren 002; Jie He (APWeb-WAIM (1), 2023)

Off-Beat Multi-Agent Reinforcement Learning. - Wei Qiu 001; Weixun Wang; Rundong Wang; Bo An 001; Yujing Hu; Svetlana Obraztsova; Zinovi Rabinovich; Jianye Hao; Yingfeng Chen; Changjie Fan (AAMAS, 2023)

A decentralized algorithm for the resource allocation in the mobile edge system of the Internet of Vehicles. - Jiayi Sun; Zhaoyang Xu; Rundong Wang; Renwen Zhang (ICISCAE, 2023)

Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. - Yiming Gao 007; Feiyu Liu; Liang Wang 015; Zhenjie Lian; Weixuan Wang; Siqin Li; Xianliang Wang; Xianhan Zeng; Rundong Wang; Jiawei Wang; Qiang Fu 016; Wei Yang 032; et al. (ICLR, 2023)

Towards Skilled Population Curriculum for Multi-Agent Reinforcement Learning. - Rundong Wang; Longtao Zheng; Wei Qiu 001; Bowei He; Bo An 001; Zinovi Rabinovich; Yujing Hu; Yingfeng Chen; Tangjie Lv; Changjie Fan (CoRR, 2023)

Synapse: Leveraging Few-Shot Exemplars for Human-Level Computer Control. - Longtao Zheng; Rundong Wang; Bo An 001 (CoRR, 2023)

Reinforcement Learning for Quantitative Trading. - Shuo Sun; Rundong Wang; Bo An 001 (ACM Trans. Intell. Syst. Technol., 2023)

Attention Over Self-Attention: Intention-Aware Re-Ranking With Dynamic Transformer Encoders for Recommendation. - Zhuoyi Lin; Sheng Zang; Rundong Wang; Zhu Sun 001; J. Senthilnath 001; Chi Xu; Chee Keong Kwoh 001 (IEEE Trans. Knowl. Data Eng., 2023)

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control. - Longtao Zheng; Rundong Wang; Xinrun Wang; Bo An 001 (ICLR, 2024)

HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer. - Wenyan Xu; Rundong Wang; Chen Li; Yonghong Hu; Zhonghua Lu (CoRR, 2024)

PP-ISEA: An Efficient Algorithm for High-Resolution Three-Dimensional Geometry Reconstruction of Space Targets Using Limited Inverse Synthetic Aperture Radar Images. - Rundong Wang; Weigang Zhu; Chenxuan Li; Bakun Zhu; Hongfeng Pang (Sensors, 2024)

HRFT: Mining High-Frequency Risk Factor Collections End-to-End via Transformer. - Wenyan Xu; Rundong Wang; Chen Li 068; Yonghong Hu; Zhonghua Lu (WWW (Companion Volume), 2025)

MLLM-CL: Continual Learning for Multimodal Large Language Models. - Hongbo Zhao 006; Fei Zhu 004; Rundong Wang; Gaofeng Meng; Zhaoxiang Zhang 001 (CoRR, 2025)

Learning Explainable Stock Predictions with Tweets Using Mixture of Experts. - Wenyan Xu; Dawei Xiang; Rundong Wang; Yonghong Hu; Liang Zhang; Jiayu Chen; Zhonghua Lu (CoRR, 2025)

RoboMT: Human-Like Compliance Control for Assembly via a Bilateral Robotic Teleoperation and Hybrid Mamba-Transformer Framework. - Rundong Wang; Yanchun Cheng; Qilong Yuan; Alok Prakash; Francis E. H. Tay; Marcelo H. Ang (IEEE Robotics Autom. Lett., 2025)