Zehan Li, Fu Zhang, Zhijun Liu, Jingwei Cheng. Zero-shot Jianzi Recognition as Structured Visual Information Extraction in Open Compositional Symbolic Systems. The 64th Annual Meeting of the Association for Computational Linguistics (ACL Main), 2026. (CCF-A类会议)

Huangming Xu, Fu Zhang, Zhixuan Yang, Lu Zhang, Jingwei Cheng. ATGL: An Adaptive-Threshold Global Loss for Document-level Relation Extraction. The 64th Annual Meeting of the Association for Computational Linguistics (ACL Main), 2026. (CCF-A类会议)

Zhixuan Yang, Fu Zhang, Huangming Xu, Jingwei Cheng. DEBAR: Mitigating Contextual Bias in Cross-Document Relation Extraction via Dual-Stream Decoupling. The 64th Annual Meeting of the Association for Computational Linguistics (ACL Main), 2026. (CCF-A类会议)

Kailun Lyu, Fu Zhang, Zehan Li, Jingwei Cheng. From Local Perspective to Global Reasoning: A Neuro-Symbolic Framework for Zero-Shot Relation Extraction. Findings of the Association for Computational Linguistics (ACL Findings), 2026. (CCF-A类会议)

Yingsong Ning, Fu Zhang, Jingwei Cheng, Jiashun Peng, Xiaoke Wang. Critic Rule Induction: Improving Temporal Knowledge Graph Forecasting with Generator-Critic Language Models. Findings of the Association for Computational Linguistics (ACL Findings), 2026. (CCF-A类会议)

Jiashun Peng, Fu Zhang, Hongzhi Chen, Jingwei Cheng, Yingsong Ning, Xiaoke Wang. Not All Modalities at Once: Dynamic Dropout and Bidirectional Fusion for Robust Multi-modal Knowledge Graph Completion. Findings of the Association for Computational Linguistics (ACL Findings), 2026. (CCF-A类会议)

Kailun Lyu, Zehan Li, Fu Zhang, Jingwei Cheng. A Boundary Token Graph for Zero-Shot Relation Triplet Extraction Involving Discontinuous Entities. The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A类会议)

Guoqing Chen, Fu Zhang, Bingqian Liu, Chenglong Lu, Jingwei Cheng. VCGD: Visual Clue Guided Decoding with Caption Model for Mitigating Hallucination in Multimodal Large Language Models. The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. (CCF-A类会议)

Zehan Li, Fu Zhang, Zhijun Liu, Jingwei Cheng. End-to-End Structured Information Extraction from Mixed-Script Documents in Open Compositional Symbol Systems. In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD), 2026. (CCF-A类会议)

Yankun Le, Fu Zhang, et al. Countering Interest Over-Smoothing: Distilling Latent Factors via Diffusion for Multi-Interest Retrieval. In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2026. (CCF-A类会议)

Chenxiao Li, Jingwei Cheng, Qiang Tong, Fu Zhang, Cairui Wang. Probing Relative Interaction and Dynamic Calibration in Multi-modal Entity Alignment. The 63rd Annual Meeting of the Association for Computational Linguistics (ACL Main), 2025. (CCF-A类会议)

Fu Zhang, Yi Yan, Jingwei Cheng. Document-Level Relation Extraction with Global Relations and Entity Pair Reasoning. Findings of the Association for Computational Linguistics (ACL Findings), 2025. (CCF-A类会议)

Shiyue Xu, Fu Zhang, Jingwei Cheng, Linfeng Zhou. MWPO: Enhancing LLMs Performance through Multi-Weight Preference Strength and Length Optimization. Findings of the Association for Computational Linguistics (ACL Findings), 2025. (CCF-A类会议)

Jingwei Cheng, Chenglong Lu, Linyan Yang, Guoqing Chen, Fu Zhang. EasyEA: Large Language Model is All You Need in Entity Alignment Between Knowledge Graphs. Findings of the Association for Computational Linguistics (ACL Findings), 2025. (CCF-A类会议)

Huangming Xu, Fu Zhang, Jingwei Cheng. An Adaptive Multi-Threshold Loss and a General Framework for Collaborating Losses in Document-Level Relation Extraction. Findings of the Association for Computational Linguistics (ACL Findings), 2025. (CCF-A类会议)

Huangming Xu, Fu Zhang, Jingwei Cheng, Xin Li. ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction. The 34th International Joint Conference on Artificial Intelligence (IJCAI), 2025. (CCF-A类会议)

Bingqian Liu, Fu Zhang, Guoqing Chen, Jingwei Cheng. Multi-Frequency Contrastive Decoding: Alleviating Hallucinations for Large Vision-Language Models. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Main), 2025. (CCF-B类会议)

Zehan Li, Fu Zhang, Wenqing Zhang, Jiawei Li, Zhou Li, Jingwei Cheng, Tianyue Peng. Frame First, Then Extract: A Frame-Semantic Reasoning Pipeline for Zero-Shot Relation Triplet Extraction. Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP Main), 2025. (CCF-B类会议) 

Xiaoke Wang, Fu Zhang, Jingwei Cheng, Yiwen Chi, Jiashun Peng, Yingsong Ning. DLTKG: Denoising Logic-based Temporal Knowledge Graph Reasoning. Findings of the Association for Computational Linguistics: EMNLP (EMNLP Findings), 2025. (CCF-B类会议)

Fu Zhang, Panfeng Zhang, Jingwei Cheng. SRM-LLM: Semantic Relationship Mining with LLMs for Temporal Knowledge Graph Extrapolation. Findings of the Association for Computational Linguistics: EMNLP (EMNLP Findings), 2025. (CCF-B类会议)

Zehan Li, Fu Zhang, Tianyue Peng, He Liu, Jingwei Cheng. Generation-Augmented Retrieval: Rethinking the Role of Large Language Models in Zero-Shot Relation Extraction. Findings of the Association for Computational Linguistics: EMNLP (EMNLP Findings), 2025. (CCF-B类会议)

Xin Li, Huangming Xu, Fu Zhang, Jingwei Cheng. ET-MIER: Entity Type-guided Key Mention Identification and Evidence Retrieval for Document-level Relation Extraction. Findings of the Association for Computational Linguistics: EMNLP (EMNLP Findings), 2025. (CCF-B类会议)

Fu Zhang, Xinlong Jin, Jingwei Cheng, Hongsen Yu, Huangming Xu. Rethinking the Role of LLMs for Document-level Relation Extraction: a Refiner with Task Distribution and Probability Fusion. Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) (NAACL Main), pages 6293-6312, 2025. (CCF-B类会议)

Fu Zhang, Hongsen Yu, Jingwei Cheng, and Huangming Xu. Entity Pair-guided Relation Summarization and Retrieval in LLMs for Document-level Relation Extraction. Findings of the Association for Computational Linguistics (NAACL Findings), pages 4022-4037, 2025. (CCF-B类会议)

Fu Zhang, Qi Miao, Jingwei Cheng, Hongsen Yu, Yi Yan, Xin Li, Yongxue Wu: SRF: Enhancing Document-Level Relation Extraction with a Novel Secondary Reasoning Framework. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP Main), pages 15426-15439, 2024. (CCF-B类会议)

Fu Zhang, Yifan Ding, Jingwei Cheng: ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP Main), pages 16456-16472, 2024. (CCF-B类会议)

Chuanhao Xu, Jingwei Cheng, Fu Zhang. NALA: an Effective and Interpretable Entity Alignment Method. Findings of the Association for Computational Linguistics (EMNLP Findings), pages 13752–13772, 2024. (CCF-B类会议)

Fu Zhang, Jinghao Lin, Jingwei Cheng: SALMON: A Structure-Aware Language Model with logicality and densification strategy for Temporal Knowledge Graph Reasoning. Findings of the Association for Computational Linguistics (EMNLP Findings), pages 8761-8774 , 2024. (CCF-B类会议)

Linyan Yang, Jingwei Cheng, and Fu Zhang. Advancing Cross-Lingual Entity Alignment with Large Language Models: Tailored Sample Segmentation and Zero-Shot Prompts. Findings of the Association for Computational Linguistics (EMNLP Findings), pages 8122–8138, 2024. (CCF-B类会议)

Li, Zehan, Fu Zhang, and Jingwei Cheng. AlignRE: An Encoding and Semantic Alignment Approach for Zero-Shot Relation Extraction. Findings of the Association for Computational Linguistics (ACL Findings), pages 2957-2966, 2024. (CCF-A类会议)

Guoqing Chen, Fu Zhang, Jinghao Lin, Chenglong Lu, and Jingwei Cheng. RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human Feedback. In Proceedings of the 31st International Conference on Computational Linguistics (COLING), pages 6798–6815, 2025. (CCF-B类会议)

Zehan Li, Fu Zhang, Kailun Lyu, Jingwei Cheng, and Tianyue Peng. Re-Cent: A Relation-Centric Framework for Joint Zero-Shot Relation Triplet Extraction. In Proceedings of the 31st International Conference on Computational Linguistics (COLING), pages 7344–7354, 2025. (CCF-B类会议)

Fu Zhang, He Liu, Zehan Li, and Jingwei Cheng. CE-DA: Custom Embedding and Dynamic Aggregation for Zero-Shot Relation Extraction. In Proceedings of the 31st International Conference on Computational Linguistics (COLING), pages 9814–9823, 2025. (CCF-B类会议)

Jingwei Cheng, Mingxiao Guo, and Fu Zhang. SGMEA: Structure-Guided Multimodal Entity Alignment. In Proceedings of the 31st International Conference on Computational Linguistics (COLING), pages 7851–7861, 2025. (CCF-B类会议)

Linyan Yang, Shiqiao Zhou, Jingwei Cheng, Fu Zhang, Jizheng Wan, Shuo Wang, and Mark Lee. DAEA: Enhancing Entity Alignment in Real-World Knowledge Graphs Through Multi-Source Domain Adaptation. In Proceedings of the 31st International Conference on Computational Linguistics (COLING), pages 5890–5901, 2025. (CCF-B类会议)

Chenxiao Li, Jingwei Cheng, Qiang Tong, and Fu Zhang. Exploring the Impacts of Feature Fusion Strategy in Multi-modal Entity Alignment. In Proceedings of the 31st International Conference on Computational Linguistics (COLING), pages 7809–7818, 2025. (CCF-B类会议)

Fu Zhang, Pengpeng Qiu, Tong Shen, Jingwei Cheng. Multi-aspect Enhanced Convolutional Neural Networks for Knowledge Graph Completion. 26th European Conference on Artificial Intelligence (ECAI), 2023. (CCF-B类会议) 

Weiquan Huang, Fu Zhang. Semi-supervised semantic segmentation with structured output space adaption. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1-5, 2023. (CCF-B类会议)

Tong Shen, Fu Zhang, Jingwei Cheng. A self-supervised method for learning path-augmented knowledge graph embedding. Engineering Applications of Artificial Intelligence, 2025.（SCI）

Shikang Fu, Fu Zhang. RDF-G*: An efficient RDF query answer engine based on graph model and star index. Earth Science Informatics, 18(412), 2025.（SCI） 

Hongzhi Chen, Fu Zhang, Qinghui Li, Xiang Li, Yifan Ding, Daqing Zhang, Jingwei Cheng, Xing Wang: Triple confidence-aware encoder-decoder model for commonsense knowledge graph completion. International Journal of Machine Learning and Cybernetics, 16(3): 2073-2091, 2025.（SCI）

Fu Zhang, Jiapeng Wang, Huangming Xu, Honglin Wu, Jingwei Cheng, Weijun Li: Mention Distance-aware Interactive Attention with Multi-step Reasoning for document-level relation extraction. Engineering Applications of Artificial Intelligence, 141: 109746, 2025.（SCI）

Fu Zhang, Hongzhi Chen, Yuzhe Shi, Jingwei Cheng, Jinghao Lin. Joint framework for tensor decomposition-based temporal knowledge graph completion. Information Sciences, 654, 2024.（SCI） 

Fu Zhang, Pengpeng Qiu, Tong Shen, Jingwei Cheng, Weijun Li. gMLP-KGE: a simple but efficient MLPs with gating architecture for link prediction. Applied Intelligence, 2024.（SCI）

Fu Zhang, Wei Zhang, Gang Wang. A bitemporal RDF index based on skip list. Intelligent Data Analysis, 1-21, 2024.（SCI）

Fu Zhang, Jiejie Qin, Jingwei Cheng. A joint training network for learning more distinguishable relation features in relation classification. Knowledge-Based Systems, 268, 2023.（SCI）

Fu Zhang, Liangdong Ma, Jiapeng Wang, Jingwei Cheng. An MRC and Adaptive Positive-Unlabeled Learning Framework for Incompletely Labeled Named Entity Recognition. International Journal of Intelligent Systems, 37(11): 9580-9597, 2022.（SCI）

Tong Shen, Fu Zhang, Jingwei Cheng. A comprehensive overview of knowledge graph completion. Knowledge-Based Systems, 255: 1-65, 2022.（SCI）

Fu Zhang, Jianwei Li, Jingwei Cheng. Improving entity alignment via attribute and external knowledge filtering. Applied Intelligence, 2022.（SCI）

张富, 杨琳艳, 李健伟, 程经纬. 实体对齐研究综述.《计算机学报》, 45(6): 1195-1225, 2022.（国内一级学报）

Fu Zhang, Z. M. Ma, et al. Fuzzy semantic web ontology learning from fuzzy UML model. Proceedings of the 2009 ACM Conference on Information and Knowledge Management (CIKM), 1007-1016. (CCF-B类会议)

Fu Zhang, Z. M. Ma, et al. Formal approach and automated tool for constructing ontology from object-oriented database model. Proceedings of the 2010 ACM Conference on Information and Knowledge Management (CIKM), 1329-1332. (CCF-B类会议)

Fu Zhang, Qiang Li. Constructing ontologies by mining deep semantics from XML Schemas and XML instance documents. International Journal of Intelligent Systems, 1‐38, 2021.（SCI）

Fu Zhang, Jingwei Cheng. Verification of fuzzy UML models with fuzzy Description Logic. Applied Soft Computing, 73: 134-152, 2018.（SCI）

Fu Zhang, Z. M. Ma, Jingwei Cheng. Enhanced entity-relationship modeling with description logic. Knowledge-Based Systems, 93: 12-32, 2016.（SCI）

Fu Zhang, Z. M. Ma, Li Yan, Jingwei Cheng. Construction of fuzzy OWL ontologies from fuzzy EER models: A semantics-preserving approach. Fuzzy Sets and Systems, 229: 1-32, 2013.（SCI）

Fu Zhang, Z. M. Ma, Weijun Li. Storing OWL ontologies in object-oriented databases. Knowledge-Based Systems, 76: 240-255, 2015.（SCI）

Fu Zhang, Z. M. Ma, Li Yan, Yu Wang. A description logic approach for representing and reasoning on fuzzy object-oriented database models. Fuzzy Sets and Systems, 186(1): 1-25, 2012.（SCI）

Fu Zhang, Z. M. Ma, Li Yan. Construction of ontologies from object-oriented database models. Integrated Computer-Aided Engineering, 18(4): 327-347, 2011.（SCI）

Fu Zhang, Z. M. Ma, Li Yan. Construction of fuzzy ontologies from fuzzy XML models. Knowledge-Based Systems, 42: 20-39, 2013.（SCI）

Fu Zhang, Li Yan, Z. M. Ma. Reasoning of fuzzy relational databases with fuzzy ontologies. International Journal of Intelligent Systems, 27(6): 613-634, 2012.（SCI）

Fu Zhang, Qingzhe Lu. A comprehensive overview of RDF for spatial and spatiotemporal data management. Knowledge Engineering Review, 1-41, 2021.（SCI）

Fu Zhang, Zhiyin Li, Dunhong Peng, Jingwei Cheng. RDF for temporal data management-a survey. Earth Science Informatics, 1-37, 2021.（SCI）

Fu Zhang, Qiang Tong, Jingwei Cheng. A novel and complete approach for storing RDF(S) in relational databases. International Arab Journal of Information Technology, 16(5): 894-903, 2019.（SCI）

Fu Zhang, Dongxia Cao, Jingwei Cheng. Spatio-temporal UML modeling and verifying with Description Logic. Journal of Information Science and Engineering, 35(6): 1279-1298, 2019.（SCI）

Fu Zhang, Z. M. Ma, Qiang Tong, Jingwei Cheng. Storing fuzzy description logic ontology knowledge bases in fuzzy relational databases. Applied Intelligence, 48: 220–242, 2018.（SCI）

Fu Zhang, Jingwei Cheng, Z. M. Ma. A survey on fuzzy ontologies for the Semantic Web. Knowledge Engineering Review, 31(3): 278-321, 2016.（SCI）

Fu Zhang, Z. M. Ma, Xu Chen. Formalizing fuzzy object-oriented database models using fuzzy ontologies. Journal of Intelligent & Fuzzy Systems, 29(4): 1407-1420, 2015.（SCI）

Fu Zhang, Z. M. Ma. Representing and reasoning about XML with ontologies. Applied Intelligence, 40(1): 74-106, 2014.（SCI）

Fu Zhang, Z. M. Ma, Li Yan. Representation and reasoning of fuzzy ER models with description logic DLR. Journal of Intelligent & Fuzzy Systems, 26(2): 611-623, 2014.（SCI）

Fu Zhang, Z. M. Ma. Construction of fuzzy ontologies from fuzzy UML models. International Journal of Computational Intelligence Systems, 6(3): 442-472, 2013.（SCI）

Z. M. Ma, Fu Zhang, Li Yan, Jingwei Cheng. Fuzzy information modeling in UML class diagram and relational database models. Applied Soft Computing, 11(6): 4236-4245, 2011.（SCI）

Z. M. Ma, Fu Zhang, Li Yan. Extracting knowledge from fuzzy relational database with description logic. Integrated Computer-Aided Engineering, 18: 1-19, 2011.（SCI）

Z. M. Ma, Fu Zhang, Li Yan. Representing and reasoning on fuzzy UML models: a description logic approach. Expert Systems with Applications, 38(3): 2536-2549, 2011.（SCI）

Z. M. Ma, Fu Zhang, Hailong Wang, Li Yan. An overview of fuzzy description logics for the Semantic Web. Knowledge Engineering Review, 28(1): 1-34, 2013.（SCI）

张富, 严丽, 马宗民, 王星. 基于模糊描述逻辑的模糊XML模型的表示与推理. 《计算机学报》, 34(8): 1437-1451, 2011.（国内一级学报）

张富, 严丽, 马宗民, 程经纬. 模糊面向对象数据模型的描述逻辑表示与推理. 《软件学报》, 23(3): 594-612, 2012.（国内一级学报）

Li Yan, Zongmin Ma, Fu Zhang. Fuzzy XML Data Management. Springer, ISBN: 978-3-642-44898-0, pp. 1-208, 2015.（英文学术专著）

Z. M. Ma, Fu Zhang, Li Yan, Jingwei Cheng. Fuzzy knowledge management for the Semantic Web. Springer, ISBN: 978-3-642-39282-5, pp. 1-272, 2014. （英文学术专著）