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Guangjin Wang
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2020 – today
- 2025
- [j8]Bao Wang, Baoxing Jiang, Guangjin Wang, Liang Shi, Peiyu Liu:
Knowledge complementation based dual-table filling approach for aspect sentiment triplet extraction. Neurocomputing 611: 128625 (2025) - 2024
- [j7]Guangjin Wang, Bao Wang, Fuyong Xu, Ru Wang, Zhenfang Zhu, Peiyu Liu:
Domain-consistent syntactic representation for cross-domain aspect sentiment triplet extraction. Expert Syst. Appl. 256: 124854 (2024) - [j6]Guangjin Wang, Yuanying Wang, Fuyong Xu, Yongsheng Zhang, Peiyu Liu:
Syntactic and semantic dual-enhanced bidirectional network for aspect sentiment triplet extraction. J. Supercomput. 80(3): 3025-3041 (2024) - [j5]Wenya Wu, Guangjin Wang, Xiufang Liang, Yingzheng Zhu, Huajuan Duan, Peiyu Liu, Ran Lu:
A sequence recommendation method based on external reinforcement and position separation. J. Supercomput. 80(14): 20378-20399 (2024) - [c1]Liang Shi, Fuyong Xu, Ru Wang, Yongqing Wei, Guangjin Wang, Bao Wang, Peiyu Liu:
Information Aggregate and Sentiment Enhance Network to Handle Missing Modalities for Multimodal Sentiment Analysis. ICME 2024: 1-6 - 2023
- [j4]Binbin Zheng, Jiahe Wang, Tingting Feng, Wensong Wang, Yufei Wang, Yonghao Yang, Guangjin Wang:
Improving the Landslide Susceptibility Prediction Accuracy by Using Genetic Algorithm Optimized Machine Learning Approach. Int. J. Intell. Syst. 2023: 1-16 (2023) - [j3]Jiaxin Liu, Deping Yu, Taibo Yang, Caixue Liu, Guangjin Wang, Xiaoming Liu:
Discovering the causes for the change of the vibration characteristics of the core support barrel in PWR nuclear power plants: A combined investigation based on ex-core neutron noise analysis and numerical modal analysis. Reliab. Eng. Syst. Saf. 234: 109190 (2023) - [j2]Jianming Chen, Guangjin Wang, Jiancheng Lv, Zhenan He, Taibo Yang, Chenwei Tang:
Open-Set Classification for Signal Diagnosis of Machinery Sensor in Industrial Environment. IEEE Trans. Ind. Informatics 19(3): 2574-2584 (2023) - 2022
- [j1]Yidan Zhang, Guangjin Wang, Taibo Yang, Tianfeng Pang, Zhenan He, Jiancheng Lv:
Compression of deep neural networks: bridging the gap between conventional-based pruning and evolutionary approach. Neural Comput. Appl. 34(19): 16493-16514 (2022)
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