[1] Ruili Pu, Yang Li, Jun Zhao, Suge Wang*, Deyu Li, Jian Liao, Jianxing Zheng. A joint framework with heterogeneous-relation-aware graph and multi-channel label enhancing strategy for event causality extraction[C]//Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI-24), 2024: 18879-18887

[2] Bangze Pan, Yang Li, Suge Wang*, Xiaoli Li, Deyu Li, Jian Liao, JianXing Zheng. Document-level event extraction via information interaction based on event relation and argument correlation[C]. Proceedings of the LREC-COLING, 2024: 5156-5166

[3] Dian Wang, Yang Li, Suge Wang*, Xiaoli Li, Xin Chen, Shuqi Li, Jian Liao, Deyu Li, Integrating curriculum learning with meta-learning for general rhetoric identification[J]. International Journal of Machine Learning and Cybernetics. 2024, 15(2024): 2411-2425

[4] Liao jian, Lei Feng, Zheng Jianxing, Wang Suge*, Li Deyu, Chen Qian. A dynamic adaptive multi-view fusion graph convolutional network recommendation model with dilated mask convolution mechanism[J]. Information Sciences. 2024, 658 (2024) 120028

[5] Chuanjun Zhao, Meiling Wu, Xinyi Yang, Xuzhuang Sun, Wenyue Zhang, Shaoxia Zhang, Suge Wang, Deyu Li. Cross-domain aspect-based sentiment classification with a pre-training and fine-tuning strategy for low-resource domains[J]. ACM Transactions on Asian and Low-Resource Language Information Processing, 2024, 23(4): 59: 1-22

[6] Chuanjun Zhao, Meiling Wu, Xinyi Yang, Wenyue Zhang, Shaoxia Zhang, Suge Wang, Deyu Li. A systematic review of cross-lingual sentiment analysis: tasks, strategies, and prospects[J]. ACM Computing Survey, 2024, 56(7): 177

[7] Yujie Fu, Yang Li, Suge Wang*, Xiaoli Li, Deyu Li, Jian Liao, JianXing Zheng. Hierarchical enhancement framework for aspect-based argument mining[C]//Findings of the Association for Computational Linguistics: EMNLP 2023: 1423-1433

[8] Yujie Fu, Suge Wang*, Xiaoli Li, Deyu Li, Yang Li, Jian Liao, Jianxing Zheng. Hierarchical neural network: Integrate divide-and-conquer and unified approach for argument unit recognition and classification[J]. Information Sciences. 2023, 624(2023): 796-810

[9] Ruili Pu, Yang Li, Suge Wang*, Deyu Li, Jianxing Zheng, Jian Liao. Enhancing event causality identification with event causal label and event pair interaction graph[C]//Findings of the Association for Computational Linguistics: ACL 2023, 2023: 10314-10322

[10] Xin Chen, Suge Wang*, Xiaoli Li, Zhen Hai, Yang Li, Deyu Li, Jianghui Cai. Identifying implicit emotions via hierarchical structure and rhetorical correlation[J]. International Journal of Machine Learning and Cybernetics. 2023. (2023) 14: 3753-3764

[11] Qian Chen, Xiaoying Gao, Xin Guo and Suge Wang. Multi-head attention based candidate segment selection in QA over hybrid data. Intelligent Data Analysis, 2023, 27(2023): 1839-1852

[12] Liao jian, Lei jia, Wang Suge, Zheng Jianxing, Hang Xiaoqing. Personalized implicit sentiment analysis based on multi-view fusion of implicit user preference[C]//Proceedings of the 2023 China Automation Congress (CAC). 2023: 6394-6399

[13] Xin Guo, Xuejing Wang, Qian Chen, Suge Wang Zheng, Jianxing, jian Liao, Hui Liu. Heterogeneous graph interaction based event extraction with attentional position embeddings. 2023 International Joint Conference on Neural Networks (IJCNN)

[14] Yujie Fu, Xiaoli Li, Yang Li, Suge Wang*, Deyu Li, Jian Liao, Jianxing Zheng. Incorporate opinion-towards for stance detection[J]. Knowledge-Based Systems. 2022, 246(2022): 108657

[15] Yuxiang Zhang, Tai Jing, Tianyu Yang, Xiaoli Li, Suge Wang. HTKG: deep keyphrase generation with neural hierarchical topic guidance[C]//Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

[16] Liao jian, Min Wang, Chen Xin, Suge Wang*, Kai Zhang. Dynamic commonsense knowledge fused method for Chinese implicit sentiment analysis[J]. Information Processing ＆ Management. 2022, 59(2022): 102934

[17] Jianxing Zheng, Zifeng Qing, Suge Wang, Deyu Li. Attention-based explainable friend link prediction with heterogeneous context information[J]. Information Sciences. 2022

[18] Dayu Li, Xiaodan Zhu, Yang Li, Suge Wang*, Deyu Li, Jian Liao, Jianxing Zheng. Enhancing emotion inference in conversations with commonsense knowledge[J]. Knowledge-Based Systems. 232 (2021) 107449

[19] Yujie Fu, Jian Liao, Yang Li, Suge Wang*, Deyu Li, Xiaoli Li. Multiple perspective attention based on double BiLSTM for aspect and sentiment pair extract. Neurocomputing[J]. 2021, 438 (2021) 302-311

[20] Dayu Li, Xiaodan Zhu, Yang Li, Suge Wang*, Deyu Li, Jian Liao, ZhengJianxing. Emotion inference in multi-turn conversations with addressee-aware module and ensemble strategy[C]//Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021: 3935-3941

[21] Xin Chen, Zhen Hai, Deyu Li, Suge Wang*, Dian Wang. Jointly identifying rhetoric and implicit emotions via multi-task learning[C]//Findings of Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing. 2021: 1429-1434. , Bangkok, Thailand, August 1-6, 2021

[22] Chuanjun Zhao, Suge Wang*, Deyu Li. Cross-domain sentiment classification via parameter transferring and attention sharing mechanism[J]. Information Sciences, 2021, 578: 281-296

[23] Xin Chen, Zhen Hai, Suge Wang*, Deyu Li, Chao Wang, Huanbo Luan. Metaphor identification: A contextual inconsistency based neural sequence labeling approach[J]. Neurocomputing, 2021, 428: 268-279

[24] Jianxing Zheng, Qiwen Li, Jian Liao, Suge Wang. Explainable link prediction based on multi-granularity relation-embedded representation[J]. Knowledge-Based Systems, 2021, 230(15): 107402

[25] Dayu Li, Xiaodan Zhu, Yang Li, Suge Wang*, Deyu Li, Jian Liao, Jianxing Zheng. Enhancing emotion inference in conversations with commonsense knowledge[J]. Knowledge-Based Systems, 2021, 232: 107449

[26] Zhang Peng, Wang Suge*, Li Deyu, et al. Combine topic modeling with semantic embedding: embedding enhanced topic model[J]. IEEE Transactions on Knowledge and Data Engineering, 2020, 32(12): 2322-2335

[27] Zhang Wenyue, Li Xiaoli, Li Yang, Wang Suge*, Deyu Li, Liao Jian, Jianxing Zheng. Public sentiment drift analysis based on hierarchical variational auto-encoder[C]//Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020: 3762-3767

[28] Li Dayu, Li Yang, Wang Suge*. Interactive double states emotion cell model for textual dialogue emotion prediction[J]. Knowledge-Based Systems, 2020, 189: 105084

[29] Zhao Chuanjun, Wang Suge*, Li Deyu. Multi-source domain adaptation with joint learning for cross-domain sentiment classification[J]. Knowledge-Based Systems, 2020, 191

[30] Jiyao Wei, Jian Liao, Zhenfei Yang, Suge Wang*, Qiang Zhao. BiLSTM with Multi-Polarity Orthogonal Attention for Implicit Sentiment Analysis[J]. Neurocomputing, 2020, 383: 165-173

[31] 赵传君, 王素格, 李德玉. 跨领域文本情感分类研究进展[J]. 软件学报, 2020, 31(6): 1723-1746

[32] Guo Xin, Zhang Geng, Wang Suge, et al. Multi-way matching based fine-grained sentiment analysis for user reviews[J]. Neural Computing and Applications, 2020, 32 (1-2)

[33] Zhuojia Wu, Yang Li, Jian Liao, Deyu Li, Xiaoli Li, Suge Wang*. Aspect-Context Interactive Attention Representation for Aspect-Level Sentiment Classification. IEEE Access, 2020, 8: 29238-29248

[34] Zheng Jianxing, Wang Suge, Li D, et al. Personalized recommendation based on hierarchical interest overlapping community[J]. Information Sciences, 2019, 479: 55-75

[35] Zhang Wenyue, Li Yang, Suge Wang*. Learning document representation Via Topic-enhanced LSTM Model. Knowledge-Based Systems, 2019, 174(2019): 194-204

[36] Liao Jian, Suge Wang*, Li Deyu. Identification of fact-implied implicit sentiment based on multi-level semantic fused representation[J]. Knowledge-Based Systems, 2019, 165(2019): 197-207

[37] Yang Li, Jie Wang, Suge Wang*, Jiye Liang, Juanzi Li. Local dense mixed region cutting+ global rebalancing: a method for imbalanced text sentiment classification[J]. International Journal of Machine Learning and Cybernetics. (2019) 10: 1805-1820

[38] Zhao Chuanjun, Wang Suge*, and Li Deyu. Exploiting social and local contexts propagation for inducing Chinese Microblog-specific sentiment lexicons[J]. Computer Speech and Language, 2019, 55: 57-81

[39] Zhang Wenyue, Li Yang, Wang Suge*. Learning document representation Via Topic-enhanced LSTM Model[J]. Knowledge-Based Systems, 2019, 174(2019): 194-204

[40] Li Yang, Ying Lv, Suge Wang*, Jiye Lian. Cooperative hybrid semi-supervised learning for text sentiment classification[j]. Symmetry, 2019, 11: 133: 1-17

[41] Zheng JianXing, Wang Suge, Li Ddeyu. Personalized recommendation based on hierarchical interest overlapping community[J]. Information Sciences, 2019, 479: 55-75

[42] Liao Jian, Suge Wang*, Li Deyu, et al. FREERL: Fusion relation embedded representation learning framework for aspect extraction[J]. Knowledge-Based Systems, 2017, 135(2017): 9-17

[43] Zhao Chuanjun, Suge Wang*, Li Deyu. Determining fuzzy membership for sentiment classification: A three-layer sentiment propagation model[J]. Plos One, 2016, 11(11): 1-32

[44] Peng Zhang, Suge Wang*, Deyu Li. Cross-lingual sentiment classification: Similarity discovery plus training data adjustment[J]. Knowledge-Based Systems, 2016, 107(2016): 129-141

[45] Hua Li, Deyu Li, Yanhui Zhai, Suge Wang. Jing Zhang: A novel attribute reduction approach for multi-label data based on rough set theory. Information Science, 2016: 367-368. : 827-847

[1] 国家自然科学基金面上项目: 篇章级事件情感分析关键技术(No.62376143, 2024.1-2027.12)主持人

[2] 国家重点研发计划项目子课题: 具有***数据治理技术研究(No.2022QY0301, 2022.8-2024.7)主持人

[3] 国家自然科学基金面上项目: 面向散文阅读理解的文本情感分析关键技术研究(No.62076158), 2021.1-2024.12. 主持人

[4] 国家自然科学基金重点项目子课题: 社交媒体中文本情感语义计算理论和方法(No.61632011), 2017.1-2021.12, 主持人

[5] 国家自然科学基金面上项目: 面向产品评论的隐式情感建模理论与方法研究(No.61573231), 2016.1-2019.12. 主持人

[6] 国家自然科学基金面上项目: 基于文本观点挖掘的多对象评级理论与方法研究(No.61175067). 2012.1-2015.12. 主持人

[7] 国家自然科学基金面上项目: 基于多层次语言粒度的文本情感分类研究(No.60875040). 2009.1-2011.12. 主持人

[8] 山西省重点研发计划项目: 山西旅游大数据智能化应用关键技术研究(No.201803D421024). 2018.12-2021.12. 主持人

[9] 山西省科技基础条件平台计划项目: 文本情感分析技术开放与资源共享平台(No.2015091001-0102). 2015.1-2016.12. 主持人

[10] 山西省科技攻关计划项目(工业): 基于Web评论文本的企业产品信誉分析系统(No.20110321027-0). 2011.1-2013.12. 主持人

[11] 太原市小店区科技局. 基于旅游大数据的景区应急能力提升智能化系统研发及应用. No.2020XDCXY05). 2020.11-2021.12. 主持人

[12] 山西省研究生思想政治教育研究项目: 三全育人模式下《自然语言处理》课程思政教育创新实践研究中文信息处理研究生创新人才培养探索与实践(No.2021YJJG016). 2022.1-2022.12. 主持人

[13] 山西省研究生教育专项科研: 中文信息处理研究生创新人才培养探索与实践. 2011.1-2013.12. 主持人

[14] 山西省自然科学基金项目: 基于web的文本情感分类关键技术研究(2007011042). 2007.1-2009.12. 主持人

[15] 山西省高校科技开发项目: 文本流派分类及其在信息安全中的应用研究. 2006.1-2006.12. 主持人

[16] 山西省自然科学基金青年项目; 当代汉语词语知识自动获取技术. 2003.1-2004.12. 主持人

[17] 国家重点研发计划项目: 基于大数据的类人智能关键技术与系统(二期)(No.2018YFB1005103-3, 2019.5. 1-2022.4. 30. 参与

[18] 国家自然科学基金重点项目: 面向大数据的粒计算理论与方法(No.61432011). 205.1-2019.12. 参与

[19] 国家高技术研究发展计划(863计划)课题: 语言问题求解和答案生成关键技术及系统(No.2015AA015407). 2015.1-2017.12. 参与

[20] 山西省科技基础条件平台计划项目: 山西省大数据与物联网重点科技创新平台. (No.201705D151001). 2018.7-2022.12. 参与