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Xuchu Jiang
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2020 – today
- 2025
- [j9]Haoyu Zhang
, Daoli Wang, Wangshu Zhao, Zitong Lu, Xuchu Jiang
IMCSN: An improved neighborhood aggregation interaction strategy for multi-scale contrastive Siamese networks. Pattern Recognit. 158: 111052 (2025) - 2024
- [j8]Weiwei Wang, Biao Zhang, Xuchu Jiang, Baoxian Jia, Hongyan Sang, Leilei Meng:
Decomposition-based multi-objective approach for a green hybrid flowshop rescheduling problem with consistent sublots. Int. J. Prod. Res. 62(21): 7904-7932 (2024) - 2023
- [j7]Biao Zhang, Chao Lu, Leilei Meng
Reconfigurable distributed flowshop group scheduling with a nested variable neighborhood descent algorithm. Expert Syst. Appl. 217: 119548 (2023) - [j6]Biao Zhang, Quan-Ke Pan
A decomposition-based multi-objective evolutionary algorithm for hybrid flowshop rescheduling problem with consistent sublots. Int. J. Prod. Res. 61(3): 1013-1038 (2023) - [j5]Biao Zhang, Xinyan Dong, Yuwei Hu, Xuchu Jiang, Gongchi Li:
Classification and prediction of spinal disease based on the SMOTE-RFE-XGBoost model. PeerJ Comput. Sci. 9: e1280 (2023) - 2022
- [j4]Xuchu Jiang, Chao Song, Yucheng Xu, Ying Li, Yili Peng:
Research on sentiment classification for netizens based on the BERT-BiLSTM-TextCNN model. PeerJ Comput. Sci. 8: e1005 (2022) - 2021
- [j3]Biao Zhang, Quan-Ke Pan, Leilei Meng
A collaborative variable neighborhood descent algorithm for the hybrid flowshop scheduling problem with consistent sublots. Appl. Soft Comput. 106: 107305 (2021) - [j2]Xuwu Yuan, Caihua Hao, Jiarong Gu, Xinyong Mao, Hongqi Liu, Jie Zhang, Xuchu Jiang, Hongguang Zhu:
Research on the commonness and dissimilarity of group machine tools based on BP and SAE algorithms. Comput. Ind. Eng. 158: 107451 (2021)
2010 – 2019
- 2019
- [j1]Hongqi Liu, Hai Lin, Xuchu Jiang, Xinyong Mao, Quanxin Liu, Bin Li:
Estimation of mass matrix in machine tool's weak components research by using symbolic regression. Comput. Ind. Eng. 127: 998-1011 (2019) - [c1]Hai Lin, Yingjie Chen, Xuchu Jiang, Xinyong Mao:
A De-Theoretical Experimental Modal Analysis Method Using Data Mining-Symbol Regression. FSDM 2019: 3-13
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