Learning an adaptive model for extreme low-light raw image processing. - Qingxu Fu; Xiaoguang Di; Yu Zhang 091 (IET Image Process., 2020)

Concentration Network for Reinforcement Learning of Large-Scale Multi-Agent Systems. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Shiguang Wu 001 (AAAI, 2022)

A Cooperation Graph Approach for Multiagent Sparse Reward Reinforcement Learning. - Qingxu Fu; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Wanmai Yuan (IJCNN, 2022)

Solving the Diffusion of Responsibility Problem in Multiagent Reinforcement Learning with a Policy Resonance Approach. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Xiaolin Ai; Wanmai Yuan (CoRR, 2022)

Learning Heterogeneous Agent Cooperation via Multiagent League Training. - Qingxu Fu; Xiaolin Ai; Jianqiang Yi; Tenghai Qiu; Wanmai Yuan; Zhiqiang Pu (CoRR, 2022)

Learning Superior Cooperative Policy in Adversarial Multi-Team Reinforcement Learning. - Qingxu Fu; Tenghai Qiu; Zhiqiang Pu; Jianqiang Yi; Xiaolin Ai; Wanmai Yuan (IJCNN, 2023)

Prioritized League Reinforcement Learning for Large-Scale Heterogeneous Multiagent Systems. - Qingxu Fu; Zhiqiang Pu; Min Chen; Tenghai Qiu; Jianqiang Yi (CoRR, 2024)

Fuzzy Feedback Multiagent Reinforcement Learning for Adversarial Dynamic Multiteam Competitions. - Qingxu Fu; Zhiqiang Pu; Yi Pan; Tenghai Qiu; Jianqiang Yi (IEEE Trans. Fuzzy Syst., 2024)

Unreal-MAP: Unreal-Engine-Based General Platform for Multi-Agent Reinforcement Learning. - Tianyi Hu; Qingxu Fu; Zhiqiang Pu; Yuan Wang; Tenghai Qiu (CoRR, 2025)

Self-Clustering Hierarchical Multi-Agent Reinforcement Learning With Extensible Cooperation Graph. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Xiaolin Ai (IEEE Trans. Emerg. Top. Comput. Intell., 2025)

A Policy Resonance Approach to Solve the Problem of Responsibility Diffusion in Multiagent Reinforcement Learning. - Qingxu Fu; Tenghai Qiu; Jianqiang Yi; Zhiqiang Pu; Xiaolin Ai; Wanmai Yuan (IEEE Trans. Neural Networks Learn. Syst., 2025)