Compression of deep neural networks: bridging the gap between conventional-based pruning and evolutionary approach. - Yidan Zhang; Guangjin Wang; Taibo Yang; Tianfeng Pang; Zhenan He 001; Jiancheng Lv 001 (Neural Comput. Appl., 2022)

Improving the Landslide Susceptibility Prediction Accuracy by Using Genetic Algorithm Optimized Machine Learning Approach. - Binbin Zheng; Jiahe Wang; Tingting Feng; Wensong Wang; Yufei Wang; Yonghao Yang; Guangjin Wang (Int. J. Intell. Syst., 2023)

Open-Set Classification for Signal Diagnosis of Machinery Sensor in Industrial Environment. - Jianming Chen; Guangjin Wang; Jiancheng Lv 001; Zhenan He 001; Taibo Yang; Chenwei Tang (IEEE Trans. Ind. Informatics, 2023)

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. - Jiaxin Liu; Deping Yu; Taibo Yang; Caixue Liu; Guangjin Wang; Xiaoming Liu (Reliab. Eng. Syst. Saf., 2023)

Information Aggregate and Sentiment Enhance Network to Handle Missing Modalities for Multimodal Sentiment Analysis. - Liang Shi; Fuyong Xu; Ru Wang 001; Yongqing Wei; Guangjin Wang; Bao Wang; Peiyu Liu 001 (ICME, 2024)

Domain-consistent syntactic representation for cross-domain aspect sentiment triplet extraction. - Guangjin Wang; Bao Wang; Fuyong Xu; Ru Wang 001; Zhenfang Zhu; Peiyu Liu 001 (Expert Syst. Appl., 2024)

Syntactic and semantic dual-enhanced bidirectional network for aspect sentiment triplet extraction. - Guangjin Wang; Yuanying Wang; Fuyong Xu; Yongsheng Zhang; Peiyu Liu 001 (J. Supercomput., 2024)

A sequence recommendation method based on external reinforcement and position separation. - Wenya Wu; Guangjin Wang; Xiufang Liang; Yingzheng Zhu; Huajuan Duan; Peiyu Liu 001; Ran Lu (J. Supercomput., 2024)

Intent Contrastive Learning Based on Multi-view Augmentation for Sequential Recommendation. - Bo Pei; Yingzheng Zhu; Guangjin Wang; Huajuan Duan; Wenya Wu; Fuyong Xu; Yizhao Zhu; Peiyu Liu 001; Ran Lu (COLING, 2025)

Semantic-Aware Prompt Learning for Multimodal Sarcasm Detection. - Guangjin Wang; Bao Wang; Fuyong Xu; Zhenfang Zhu; Peipei Wang; Ru Wang 001; Peiyu Liu 001 (ICASSP, 2025)

DTS: A Decoupled Task Specificity Approach for Aspect Sentiment Triplet Extraction. - Bao Wang; Guangjin Wang; Peiyu Liu 001 (Expert Syst. Appl., 2025)

Knowledge complementation based dual-table filling approach for aspect sentiment triplet extraction. - Bao Wang; Baoxing Jiang; Guangjin Wang; Liang Shi; Peiyu Liu 001 (Neurocomputing, 2025)

IMDP: A Unify Dialogue Framework with Awareness and Understanding for Implicit Personalized Dialogue Generation. - Yuanying Wang; Fuyong Xu; Yingzheng Zhu; Guangjin Wang; Peiyu Liu 001; Ran Lu (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2025)