Solving Large-Scale Open Shop Scheduling Problem via Link Prediction Based on Graph Convolution Network. - Lanjun Wan; Haoxin Zhao; Xueyan Cui; Changyun Li; Xiaojun Deng (ICIC (2), 2023)

A novel method for solving dynamic flexible job-shop scheduling problem via DIFFormer and deep reinforcement learning. - Lanjun Wan; Xueyan Cui; Haoxin Zhao; Long Fu; Changyun Li (Comput. Ind. Eng., 2024)

An effective deep actor-critic reinforcement learning method for solving the flexible job shop scheduling problem. - Lanjun Wan; Xueyan Cui; Haoxin Zhao; Changyun Li; Zhibing Wang (Neural Comput. Appl., 2024)

An efficient method for solving large-scale open shop scheduling problem based on Horovod-GPU and improved graph attention network. - Lanjun Wan; Haoxin Zhao; Xueyan Cui; Long Fu; Wei Ni; Changyun Li (Comput. Ind. Eng., 2025)

MMFFNet: Multi-Node Fusion Network for Passive Fusion Detection of Underwater Acoustic Communication Signals. - Haoxin Zhao; Bin Wang 081; Lianhai Zhang; Lou Zheng (IEEE Commun. Lett., 2025)