Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. - Xuechen Mu; Hankz Hankui Zhuo; Chen Chen 077; Kai Zhang 012; Chao Yu 004; Jianye Hao (CoRR, 2023)

X-LDA: An interpretable and knowledge-informed heterogeneous graph learning framework for LncRNA-disease association prediction. - Yangkun Cao; Jun Xiao; Nan Sheng; Yinwei Qu; Zhihang Wang; Chang Sun 002; Xuechen Mu; Zhenyu Huang; Xuan Li (Comput. Biol. Medicine, 2023)

TemporalPaD: a reinforcement-learning framework for temporal feature representation and dimension reduction. - Xuechen Mu; Zhenyu Huang; Kewei Li; Haotian Zhang; Xiuli Wang; Yusi Fan; Kai Zhang; Fengfeng Zhou (CoRR, 2024)

BloodProST: prediction of blood-secretory proteins through self-training. - Xuechen Mu; Long Xu; Zhenyu Huang; Jing Yan; Bocheng Shi; Yishi Wang; Binyue Liu; Kai Zhang; Ying Xu (Briefings Bioinform., 2025)

Hierarchical task network-enhanced multi-agent reinforcement learning: Toward efficient cooperative strategies. - Xuechen Mu; Hankz Hankui Zhuo; Chen Chen 077; Kai Zhang 012; Chao Yu 004; Jianye Hao (Neural Networks, 2025)