A De-Theoretical Experimental Modal Analysis Method Using Data Mining-Symbol Regression. - Hai Lin; Yingjie Chen; Xuchu Jiang; Xinyong Mao (FSDM, 2019)

Estimation of mass matrix in machine tool's weak components research by using symbolic regression. - Hongqi Liu; Hai Lin; Xuchu Jiang; Xinyong Mao; Quanxin Liu; Bin Li (Comput. Ind. Eng., 2019)

A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots. - Biao Zhang 003; Quan-Ke Pan; Leilei Meng; Xin-Li Zhang; Yaping Ren; Jun-Qing Li 001; Xu-Chu Jiang (Appl. Soft Comput., 2021)

Research on the commonness and dissimilarity of group machine tools based on BP and SAE algorithms. - Xuwu Yuan; Caihua Hao; Jiarong Gu; Xinyong Mao; Hongqi Liu; Jie Zhang; Xuchu Jiang; Hongguang Zhu (Comput. Ind. Eng., 2021)

Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model. - Xuchu Jiang; Chao Song; Yucheng Xu; Ying Li; Yili Peng (PeerJ Comput. Sci., 2022)

Classification and prediction of spinal disease based on the SMOTE-RFE-XGBoost model. - Biao Zhang 003; Xinyan Dong; Yuwei Hu; Xuchu Jiang; Gongchi Li (PeerJ Comput. Sci., 2023)

A decomposition-based multi-objective evolutionary algorithm for hybrid flowshop rescheduling problem with consistent sublots. - Biao Zhang 003; Quan-Ke Pan; Leilei Meng; Xinli Zhang; Xu-Chu Jiang (Int. J. Prod. Res., 2023)

Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm. - Biao Zhang 003; Chao Lu 008; Leilei Meng; Yu-yan Han; Hong-yan Sang; Xu-Chu Jiang (Expert Syst. Appl., 2023)

Decomposition-based multi-objective approach for a green hybrid flowshop rescheduling problem with consistent sublots. - Weiwei Wang; Biao Zhang 003; Xuchu Jiang; Baoxian Jia; Hongyan Sang; Leilei Meng (Int. J. Prod. Res., 2024)

ConUMIP: Continuous-time dynamic graph learning via uncertainty masked mix-up on representation space. - Haoyu Zhang; Xuchu Jiang (Knowl. Based Syst., 2024)

Multi-objective Human-robot collaborative batch scheduling in distributed hybrid flowshop via automatic design of local search-reconstruction-feedback algorithm. - Peng He 001; Xuchu Jiang; Qi Wang; Biao Zhang 003 (Comput. Ind. Eng., 2025)

Knowledge- and data-driven hybrid method for lot streaming scheduling in hybrid flowshop with dynamic order arrivals. - Biao Zhang 003; Hongyan Sang; Leilei Meng; Xuchu Jiang; Chao Lu 008 (Comput. Oper. Res., 2025)

CTHNE: Contrastive triplet learning for heterogeneous information networks with enhanced model fusion. - Taiyu Zhu; Shuai Zhu; Haoyu Zhang; Xuchu Jiang (Neurocomputing, 2025)

Integrated heterogeneous graph and reinforcement learning enabled efficient scheduling for surface mount technology workshop. - Biao Zhang 003; Hongyan Sang; Chao Lu 008; Leilei Meng; Yanan Song; Xuchu Jiang (Inf. Sci., 2025)

Refining graph representation: Hyperbolic cross-space diffusion for hierarchical structure preservation. - Zhirui Chen; Qiancheng Yu; Xiao Chen; Xuchu Jiang (Knowl. Based Syst., 2025)

IMCSN: An improved neighborhood aggregation interaction strategy for multi-scale contrastive Siamese networks. - Haoyu Zhang; Daoli Wang; Wangshu Zhao; Zitong Lu; Xuchu Jiang (Pattern Recognit., 2025)

CrossGFA: wind power prediction with a multi-scale cross-graph network via a Frequency-Enhanced Channel attention mechanism. - Haoyu Zhang; Daoli Wang; Xuchu Jiang (Appl. Intell., 2025)