[1] Xiaoqi Han, Ru Li*, Ran Yi, Hongye Tan, Zhuomin Liang, Victor Gutierrez Basulto, and Jeff Z. Pan. Uncovering and Mitigating Transient Blindness in Multimodal Model Editing. Proceedings of the AAAI Conference on Artificial Intelligence 40, no. 37 (March 14, 2026): 30934-30942. Accessed March 26, 2026. https: //ojs.aaai.org/index.php/AAAI/article/view/40352

[2] Zhichao Yan; Jiapu Wang; Jiaoyan Chen; Xiaoli Li; Ru Li*; Jeff Z. Pan; Atomic Fact Decomposition Helps Attributed Question Answering, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025, 37(12): 6959-6972

[3] Zhao, Y., Wang, Z., Yu, X., Li, X., Liang, J., & Li, R*. Learnable Game-Theoretic Policy Optimization for Data-Centric Self-Explanation Rationalization. IEEE Transactions on Knowledge and Data Engineering (TKDE), 38 (2), 1159-1173

[4] Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li*, and Jeff Z. Pan. 2025. Multi-level Mixture of Experts for Multimodal Entity Linking. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 2 (KDD ‘25). Association for Computing Machinery, New York, NY, USA, 979-990

[5] Zhiwei Hu, Victor Gutiérrez-Basulto, Ru Li*, and Jeff Z. Pan. 2025. Multi-level Matching Network for Multimodal Entity Linking. In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V. 1 (KDD ’25). Association for Computing Machinery, New York, NY, USA, 508-519

[6] Boxiang Ma; Ru Li*; Yuanlong Wang; Hongye Tan; Xiaoli Li; Memorization != Understanding: Do Large Language Models Have the Ability of Scenario Cognition?, Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2025), Suzhou, China

[7] Zhichao Yan, Jiaoyan Chen, Jiapu Wang, Xiaoli Li, Ru Li* and Jeff Z. Pan. Decomposing and Revising What Language Models Generate. Proceedings of the 28th European Conference on Artificial Intelligence, ECAI 2025

[8] Ru Li*, Yunxiao Zhao, Zhiqiang Wang, Xuefeng Su, Shaoru Guo, Yong Guan, Xiaoqi Han, Hongyan Zhao. A comprehensive overview of CFN from a commonsense perspective. Machine Intelligence Research, vol. 21, no. 2, pp. 239-256, 2024. http: //doi.org/10.1007/s11633-023-1450-8

[9] Shaoru Guo, Chenhao Wang, Yubo Chen, Kang Liu, Ru Li, and Jun Zhao. EventOA: An Event Ontology Alignment Benchmark Based on FrameNet and Wikidata[C]. In Findings of the Association for Computational Linguistics, 10038-10052. (ACL) 2023

[10] Yong Guan, Jiaoyan Chen, Freddy Lecue, Jeff Pan, Juanzi Li, and Ru Li. Trigger-Argument based Explanation for Event Detection[C]. In Findings of the Association for Computational Linguistics, 5046-5058. (ACL) 2023

[11] Yujie Wang, Hu Zhang, Jiye Liang, and Ru Li. Dynamic Heterogeneous-Graph Reasoning with Language Models and Knowledge Representation Learning for Commonsense Question Answering[C]. In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 14048-14063. (ACL) 2023

[12] Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li*, Jeff Z. Pan. Multi-view Contrastive Learning for Entity Typing over Knowledge Graphs[C]. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023

[13] Zhiwei Hu, Víctor Gutiérrez-Basulto, Zhiliang Xiang, Ru Li*, Jeff Z. Pan. HyperFormer: Enhancing Entity and Relation Interaction for Hyper-Relational Knowledge Graph Completion[C]. Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. (CIKM), 2023

[14] Xiaoqi Han, Ru Li*, Hongye Tan, Yuanlong Wang, Qinghua Chai and Jeff Z. Pan. Improving Sequential Model Editing with Fact Retrieval[C]. In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023

[15] Xiaoqi Han, Ru Li*, Xiaoli li, Jeff Z. Pan. A divide and conquer framework for Knowledge Editing[J]. Knowledge-Based Systems, vol: 279, 110826, KBS 2023

[16] Zhiwei Hu. , Gutiérrez-Basulto V, Xiang Z. , Li X. , Li R.*, Jeff. Z. Pan. Type-aware embeddings for multi-hop reasoning over knowledge graphs[C]. Proceedings of the International Joint Conferences on Artificial Intelligence (IJCAI), 2022, pp. 3078-3084

[17] Su X., Li R.*, Li X., et al. A knowledge-guided framework for frame identification[C]. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistic (ACL), 2021, pp. 5230-5240

[18] Hongye Tan, Xiaoyue Wang, Yu Ji and Ru Li* et al. GCRC: A new challenging MRC dataset from Gaokao Chinese for explainable evaluation[C]. In Findings of the Association for Computational Linguistics (ACL), 2021, pp. 1319-1330

[19] Yong Guan, Shaoru Guo, Ru Li*, Xiaoli Li, and Hu Zhang. Integrating Semantic Scenario and Word Relations for Abstractive Sentence Summarization[C]. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021: 2522-2529

[20] Yong Guan, Shaoru Guo, Ru Li*, Xiaoli Li, and Hongye Tan, 2021. Frame Semantic-Enhanced Sentence Modeling for Sentence-level Extractive Text Summarization[C]. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP) 2021: 404-4052

[21] Shaoru Guo, Ru Li*, Hongye Tan, Xiaoli Li, Yong Guan. A Frame-based Sentence Representation for Machine Reading Comprehension[C]. Proceedings of the 58th Annual Meeting of the Association for Computational Linguistic (ACL), 2020: 891-896

[22] Shaoru Guo, Yong Guan, Ru Li*, Xiaoli Li, Hongye Tan. Incorporating Syntax and Frame Semantics in Neural Network for Machine Reading Comprehension[C]. Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020: 2635-2641

[23] Hongyan Zhao, Ru Li*, Xiaoli Li, Hongye Tan. CFSRE: Context-aware based on frame-semantics for distantly supervised relation extraction[J]. Knowledge-Based Systems, 2020, 210: 106480

[24] Xiaoyue Wang, Yu Ji, Ru Li*. Key-elements graph constructed with evidence sentence extraction for Gaokao Chinese[C]. Proceedings of the 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2020: 403-414

[25] Xuefeng Su, Ru Li*, Xiaoli Li, Multi-domain Transfer Learning for Text Classification[C]. Proceedings of the 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC). 2020: 457-469

[26] Hongye Tan, Pengpeng Qiang, Ru Li. Learning to Answer Word-meaning-explanation Questions for Chinese Gaokao Reading Comprehension[C]. Proceedings of the 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2020: 53-64

[27] Hu Zhang, Haihui Gao, Jingjing Zhou, Ru Li. Applying Model Fusion to Augment Data for Entity Recognition in Legal Documents[C]. Proceedings of the 9th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC), 2020: 244-255

[28] Zhiqiang Wang, Jiye Liang, Ru Li. Exploiting user-to-user topic inclusion degree for link prediction in social-information networks[J]. Expert Systems with Applications, 2018, 108: 143-158

[29] Zhiqiang Wang, Jiye Liang, Ru Li. A fusion probability matrix factorization framework for link prediction[J]. Knowledge-Based Systems, 2018, 10: 1016/j, Knowledge-Based Systems, 2018, 06: 005

[30] 谭红叶, 闫真, 李茹, 敬毅民. 迈向创造性语言生成: 汉语幽默自动生成的探索[J]. 中国科学: 信息科学, 2018, 48(11): 1497-1509

[31] 王智强, 李茹*, 梁吉业, 张旭华, 武娟, 基于汉语篇章框架语义分析的阅读理解问答研究[J]. 苏娜. 计算机学报, 2016, 39(4): 795-807

[32] Zhiqiang Wang, Jiye Liang, Ru Li, Yuhua Qian. An approach to cold-start link prediction: establishing connections between non-topological and topological information[J]. IEEE Transactions on Knowledge and Data Engineering, 2016, 28(11): 2857-2870

[33] Ru Li*, Juan Wu, Zhiqiang Wang, Qinghua Implicit Role Linking on Chinese Discourse: Exploiting Explicit Roles and Frame-to-Frame Relations[C]. ACL, 2015, 2015: 1263-1271

[34] 李茹, 王智强, 李双红, 梁吉业. Collin Baker. 基于框架语义分析的汉语句子相似度计算[J], 计算机研究与发展, 2013, 50(8): 1728-1736

[35] Jiye Liang, Ru Li, Yuhua Qian. Distance: a more comprehensible perspective for measures in rough set theory[J]. Knowledge-Based Systems, 2012, 27: 126-136

[36] Ru Li, Haijing liu, Shuanghong Li. Chinese Frame Identification using T-CRF Model[C]. 23rd International Conference on Computational Linguistics, 2010, 2010: 674-682

[37] Ru Li, Lijun Zhong, Shuanghong Li, Zezheng Zhang. Automatic identification of Chinese multiword chunk based on CRF[C]. 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2010, 2010: 174-177

[38] Ru Li, Shuanghong Li, Zezheng zhang. The Semantic Computing Model of Sentence Similarity Based on Chinese FrameNet[C]. 2009 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2009, 2009: 255-258

[39] Ru Li, Lijun Zhong, Jianyong Duan. Multiword Expression Recognition Using Multiple Sequence Alignment[C]. Proceedings of The 7th International Conference on Advanced Language Processing and Web Information, 2008, 2008: 133-138

[1] 基于汉语框架语义知识库的搜索技术研究(No.2006AA01Z142)，国家高技术研究发展计划(863计划)项目，2006.12-2008.12，主持人

[2] 基于语言认知机理的汉语框架语义计算研究(No.61936012)，国家自然科学基金重点项目，2020.1-2024.12，主持人

[3] 基于场景认知的可解释性机器阅读理解技术研究(No.62376144),国家自然科学基金项目，2024.1-2027.12，主持人

[4] 文本生成及复杂语言问题求解关键技术与系统(No.2018YFB1005103)，国家重点研发计划项目子课题，2019.5-2022.4，主持人

[5] 面向汉语篇章语义分析的框架推理技术研究(No.61772324)，国家自然科学基金项目，2018.1-2021.12，主持人

[6] 语言问题求解和答案生成关键技术及系统(No.2015AA015407)，国家高技术研究发展计划项目(863计划)子课题，2015.07-2018.12，主持人

[7] 汉语篇章框架语义关系网自动抽取及其语义推理(No .61373082)，国家自然科学基金项目，2014.01-2017.1，主持人

[8] 汉语框架语义依存图自动抽取关键技术研究(No.60970053)，国家自然科学基金项目，2010.01-2012.12，主持人

[9] 面向信息处理的汉语篇章框架语义结构分析研究，国家语委专项科研项目，2011.03-2013.12，主持人

[10] 面向战略性新兴产业的企业创新能力画像自动生成关键技术研究及应用(No.202102020101008)，山西省重点研发计划项目课题，2022.01-2024.12，主持人

[11] 中新语言智能国际联合实验室(No.202204041101016)，山西省科技合作交流专项项目，2023.01-2025.12，主持人