| 2025 | ACL | Metagent-P: A Neuro-Symbolic Planning Agent with Metacognition for Open Worlds. | Yanfang Zhou, Yuntao Liu, Xiaodong Li, Yongqiang Zhao, Xintong Wang, Jinlong Tian, Zhenyu Li, Xinhai Xu |
| 2025 | ACL | M2PA: A Multi-Memory Planning Agent for Open Worlds Inspired by Cognitive Theory. | Yanfang Zhou, Xiaodong Li, Yuntao Liu, Yongqiang Zhao, Xintong Wang, Zhenyu Li, Jinlong Tian, Xinhai Xu |
| 2025 | CogSci | BDARec: Balancing Diversity and Accuracy of Recommendation Model with Graph Neural Networks. | Mengmeng Li, Xinhai Xu, Hongmei Li, Zhenyu Li, Xianglong Li, Jinlong Tian, Kejia Wan, Qiyuan Zhang |
| 2025 | CogSci | M2TQA: A Metacognitive Framework for Multi-Table Question Answering. | Jinlong Tian, Yuhua Tang, Kejia Wan, Hao Tang, Qiyuan Zhang, Yanfang Zhou, Mengmeng Li, Xianglong Li, Xinhai Xu |
| 2025 | CogSci | A Framework for Modeling Cognitive Processes in Intelligent Agents Using Behavior Trees. | Kejia Wan, Yuntao Liu, Hengzhu Liu, Xinhai Xu, Jinlong Tian, Xianglong Li, Hao Tang |
| 2025 | CogSci | Mental Model Alignment: Building Cognitive Interfaces for Explainable Reinforcement Learning. | Kejia Wan, Yuntao Liu, Hengzhu Liu, Xinhai Xu, Hao Tang, Jinlong Tian, Xianglong Li |
| 2025 | ICASSP | Try Before You Buy: Solving Multi-Model Complex Tasks by Model Competitions. | Yongqiang Zhao, Zhenyu Li, Zhi Jin, Feng Zhang, Lianwei Wu, Xinhai Xu, Donghong Liu |
| 2024 | CogSci | Bridging the Gap: Advancing Commonsense Question Answering with Integrated Multi-Modal Knowledge. | Yongqiang Zhao, Zhi Jin, Feng Zhang, Xinhai Xu, Donghong Liu |
| 2024 | CVPR | DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning. | Haoran Xu, Peixi Peng, Guang Tan, Yuan Li, Xinhai Xu, Yonghong Tian |
| 2024 | ICASSP | Unraveling Explainable Reinforcement Learning Using Behavior Tree Structures. | Kejia Wan, Yuntao Liu, Hengzhu Liu, Xinhai Xu |
| 2023 | CogSci | Dynamic Agent Allocation with Reinforcement Learning for Applying Behavior Trees in Games. | Xianglong Li, Yuan Li, Xinhai Xu, Donghong Liu, Jieyuan Zhang |
| 2023 | ICONIP | Temporal Task Graph Based Dynamic Agent Allocation for Applying Behavior Trees in Multi-agent Games. | Xianglong Li, Yuan Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu |
| 2023 | SMC | Cascaded Learning Generation Framework for Quadrotor UAV Maneuvering Simulation Models. | Shaoxiong Zeng, Weilong Yang, Dongao Zhou, Xinhai Xu |
| 2022 | CIKM | Diverse Effective Relationship Exploration for Cooperative Multi-Agent Reinforcement Learning. | Hao Jiang, Yuntao Liu, Shengze Li, Jieyuan Zhang, Xinhai Xu, Donghong Liu |
| 2022 | CogSci | Temporal Dynamic Weighted Graph Convolution for Multi-agent Reinforcement Learning. | Yuntao Liu, Yong Dou, Yuan Li, Xinhai Xu, Donghong Liu |
| 2022 | ICONIP | Evolving Temporal Knowledge Graphs by Iterative Spatio-Temporal Walks. | Hao Tang, Donghong Liu, Xinhai Xu, Feng Zhang |
| 2022 | IJCNN | HierRL: Hierarchical Reinforcement Learning for Task Scheduling in Distributed Systems. | Yanxia Guan, Yuntao Liu, Yuan Li, Xinhai Xu |
| 2022 | ICTAI | A Dual-View Knowledge Enhancing Self-Attention Network for Sequential Recommendation. | Hao Tang, Feng Zhang, Xinhai Xu, Jieyuan Zhang, Donghong Liu |
| 2022 | SMC | Attentive Reinforcement Learning for Scheduling Problem with Node Auto-scaling. | Yanxia Guan, Min Xie, Yuan Li, Xinhai Xu |
| 2022 | SMC | UHRCS: A High-Throughput Platform for Real-time Cameras-Sampling based on UE4. | Zhijiang Shi, Shuai Ye, Chengzhang Zhu, Yuqi Zhu, Hao Li, Xinhai Xu |
| 2022 | SEKE | Embedding Knowledge Graphs with Semantic-Guided Walk. | Hao Tang, Donghong Liu, Xinhai Xu, Feng Zhang |
| 2021 | ICANN | Learning Distinct Strategies for Heterogeneous Cooperative Multi-agent Reinforcement Learning. | Kejia Wan, Xinhai Xu, Yuan Li |
| 2021 | ICONIP | Improving Generalization of Reinforcement Learning for Multi-agent Combating Games. | Kejia Wan, Xinhai Xu, Yuan Li |
| 2021 | ICONIP | Learning Attentive Cooperation in Multi-agent Reinforcement Learning with Graph Convolutional Network. | Yuqi Zhu, Yuntao Liu, Xinhai Xu, Yuan Li |
| 2021 | ISCAS | Combined Reinforcement Learning via Artificial Potential Field: A Case Study in Pommerman. | Yuqi Zhu, Shengze Li, Jieyuan Zhang, Xinhai Xu |
| 2020 | SMC | Glue: Enhancing Compatibility and Flexibility of Reinforcement Learning Platforms by Decoupling Algorithms and Environments. | Xinhai Xu, Xianglong Li, Feng Zhangy, Tianlong Shen, Shuai Zhang, Hao Li |
| 2018 | HPCC | A Layered Communication Optimization Method Based on OpenFOAM. | Zhipeng Lin, Xinhai Xu, Wenjing Yang, Hao Li, Yongquan Feng, Yongjun Zhang |
| 2017 | ICA3PP | The Curve Boundary Design and Performance Analysis for DGM Based on OpenFOAM. | Yongquan Feng, Xinhai Xu, Yuhua Tang, Liyang Xu, Yongjun Zhang |
| 2015 | HPCC | Time-Dimension Communication Characterization of Representative Scientific Applications on Tianhe-2. | Wenhao Zhou, Juan Chen, Zhiyuan Wang, Xinhai Xu, Liyang Xu, Yuhua Tang |
| 2015 | UIC | Application of PETSc in the Linear Solver of OpenFOAM. | Zhongyuan Guo, Liyang Xu, Hao Li, Chao Li, Qian Wang, Xinhai Xu |
| 2013 | ICA3PP | A Message Logging Protocol Based on User Level Failure Mitigation. | Xunyun Liu, Xinhai Xu, Xiaoguang Ren, Yuhua Tang, Ziqing Dai |