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Chen, Jiaoyan

  1. Large Language Models and Knowledge Graphs: Opportunities and Challenges
    2023/08/11 by Pan, Jeff Z., Razniewski, Simon, Kalo, Jan-Christoph +13 · 10 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  2. OWL2Vec*: Embedding of OWL Ontologies
    2020/09/30 by Chen, Jiaoyan, Hu, Pan, Jimenez-Ruiz, Ernesto +3 · 6 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  3. Zero-shot Visual Question Answering using Knowledge Graph
    2021/07/12 by Chen, Zhuo, Chen, Jiaoyan, Geng, Yuxia +3 · 5 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  4. Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning
    2019/03/21 by Wen Zhang, Zhang, Wen, Bibek Paudel +12 · 4 citations
    Computer Science · Decision Sciences · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Topic Modeling
  5. Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
    2024/02/08 by Zhuo Chen, Chen, Zhuo, Yichi Zhang +27 · 9 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Cognitive Computing and Networks #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Text and Document Classification Technologies
  6. Exploring Large Language Models for Ontology Alignment
    2023/09/12 by He, Yuan, Chen, Jiaoyan, Dong, Hang +1 · 6 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  7. Automated Clinical Coding: What, Why, and Where We Are?
    2022/03/21 by Dong, Hang, Falis, Matúš, Whiteley, William +5 · 4 citations
    #68T07 (Primary) #68T50 (Secondary) #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7 #J.3
  8. BERTMap: A BERT-based Ontology Alignment System
    2021/12/05 by He, Yuan, Chen, Jiaoyan, Antonyrajah, Denvar +1 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment
    2023/07/30 by Chen, Zhuo, Guo, Lingbing, Fang, Yin +6 · 5 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimedia (cs.MM)
  10. Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data
    2024/02/20 by Min, Dehai, Hu, Nan, Jin, Rihui +8 · 6 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  11. MKGL: Mastery of a Three-Word Language
    2024/10/10 by Lingbing Guo, Guo, Lingbing, Zhongpu Bo +22 · 7 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Natural Language Processing Techniques #Algorithms and Data Compression #DNA and Biological Computing
  12. Relational Message Passing for Fully Inductive Knowledge Graph Completion
    2022/10/08 by Yuxia Geng, Jiaoyan Chen, Geng, Yuxia +11 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Semantic Web and Ontologies #Topic Modeling
  13. MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge
    2024/12/22 by Jie He, He, Jie, Nan Hu +7 · 7 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies
  14. HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding
    2024/03/28 by Rihui Jin, Jin, Rihui, Li Yu +16 · 4 citations
    Computer Science · Decision Sciences · #Topic Modeling #Data Quality and Management #Natural Language Processing Techniques
  15. Can LLMs Evaluate Complex Attribution in QA? Automatic Benchmarking using Knowledge Graphs
    2024/01/26 by Hu, Nan, Chen, Jiaoyan, Wu, Yike +6 · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  16. Language Models as Hierarchy Encoders
    2024/01/21 by He, Yuan, Yuan, Zhangdie, Chen, Jiaoyan +1 · 4 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  17. Knowledge-aware Zero-Shot Learning: Survey and Perspective
    2021/02/26 by Chen, Jiaoyan, Geng, Yuxia, Chen, Zhuo +3 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  18. Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey
    2021/12/18 by Jiaoyan Chen, Yuxia Geng, Chen, Jiaoyan +13 · 2 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Topic Modeling
  19. Atomic Fact Decomposition Helps Attributed Question Answering
    2024/10/22 by Zheng Yan, Yan, Zhichao, Wang, Jiapu +8 · 6 citations
    Decision Sciences · Computer Science · #Data Quality and Management #Topic Modeling
  20. Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph
    2022/09/30 by Shumin Deng, Deng, Shumin, Wang, Chengming +20 · 2 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Semantic Web and Ontologies #Biomedical Text Mining and Ontologies #Advanced Graph Neural Networks
  21. DUET: Cross-modal Semantic Grounding for Contrastive Zero-shot Learning
    2022/07/04 by Zhuo Chen, Chen, Zhuo, Yu‐Feng Huang +13 · 2 citations
    Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #COVID-19 diagnosis using AI #Multimodal Machine Learning Applications
  22. LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection
    2022/07/26 by Zhuo Chen, Yu‐Feng Huang, Chen, Zhuo +13 · 2 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  23. Knowledge Graph Reasoning with Logics and Embeddings: Survey and Perspective
    2022/02/15 by Wen Zhang, Zhang, Wen, Jiaoyan Chen +9 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Logic, Reasoning, and Knowledge
  24. An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering
    2023/03/18 by Hu, Nan, Wu, Yike, Qi, Guilin +4 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  25. Contextual Semantic Embeddings for Ontology Subsumption Prediction
    2022/02/20 by Jiaoyan Chen, Yuan He, Chen, Jiaoyan +8 · 2 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Semantic Web and Ontologies #Topic Modeling
  26. Machine Learning-Friendly Biomedical Datasets for Equivalence and Subsumption Ontology Matching
    2022/05/06 by He, Yuan, Chen, Jiaoyan, Dong, Hang +3 · 2 citations
    #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG)
  27. TrustUQA: A Trustful Framework for Unified Structured Data Question Answering
    2024/06/27 by Wen Zhang, Long Jin, Zhang, Wen +15 · 3 citations
    Computer Science · Social Sciences · #Access Control and Trust #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Topic Modeling
  28. Language Model Analysis for Ontology Subsumption Inference
    2023/02/14 by He, Yuan, Chen, Jiaoyan, Jiménez-Ruiz, Ernesto +2 · 2 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO)
  29. Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding
    2021/05/12 by Qi, Zhiyuan, Zhang, Ziheng, Chen, Jiaoyan +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  30. OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding
    2021/05/17 by Xiang, Yuejia, Zhang, Ziheng, Chen, Jiaoyan +3 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  31. DeepOnto: A Python Package for Ontology Engineering with Deep Learning
    2023/07/06 by Yuan He, Jiaoyan Chen, He, Yuan +11 · 2 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Semantic Web and Ontologies
  32. Supposedly Equivalent Facts That Aren't? Entity Frequency in Pre-training Induces Asymmetry in LLMs
    2025/03/28 by Yuan He, He, Yuan, Bin He +20 · 1 voice · 3 citations
    Computer Science · Social Sciences · #Computational and Text Analysis Methods #Topic Modeling #Wikis in Education and Collaboration #cs.CL
  33. Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge
    2022/11/20 by Yangning Li, Jiaoyan Chen, Li, Yangning +9 · 1 citation
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
  34. Dual Box Embeddings for the Description Logic EL++
    2023/01/26 by Jackermeier, Mathias, Chen, Jiaoyan, Horrocks, Ian · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG)
  35. CoTKR: Chain-of-Thought Enhanced Knowledge Rewriting for Complex Knowledge Graph Question Answering
    2024/09/29 by Yike Wu, Yi Huang, Wu, Yike +11 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Cognitive Computing and Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #Semantic Web and Ontologies
  36. Knowledge-Aware Neuron Interpretation for Scene Classification
    2024/01/29 by Guan, Yong, Lecue, Freddy, Chen, Jiaoyan +2 · 1 citation
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  37. Prompting Large Language Models with Partial Knowledge for Answering Questions with Unseen Entities
    2025/08/02 by Yan, Zhichao, Wang, Jiapu, Chen, Jiaoyan +6 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  38. OWL2Vec4OA: Tailoring Knowledge Graph Embeddings for Ontology Alignment
    2024/08/12 by Teymurova, Sevinj, Jiménez-Ruiz, Ernesto, Weyde, Tillman +1 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences
  39. Decomposing and Revising What Language Models Generate
    2025/08/31 by Yan, Zhichao, Chen, Jiaoyan, Wang, Jiapu +3 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  40. Vision, Deduction and Alignment: An Empirical Study on Multi-modal Knowledge Graph Alignment
    2023/02/17 by Li, Yangning, Chen, Jiaoyan, Li, Yinghui +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multimedia (cs.MM)
  41. Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness
    2025/04/07 by Dongzhuoran Zhou, Zhou, Dongzhuoran, Yuqicheng Zhu +11 · 4 citations
    Computer Science · #Topic Modeling #Advanced Graph Neural Networks #Multimodal Machine Learning Applications
  42. What Breaks Knowledge Graph based RAG? Benchmarking and Empirical Insights into Reasoning under Incomplete Knowledge
    2025/08/11 by Dongzhuoran Zhou, Zhou, Dongzhuoran, Yuqicheng Zhu +13 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Multimodal Machine Learning Applications
  43. Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees
    2025/10/18 by Zhu, Yuqicheng, Wu, Jingcheng, Wang, Yizhen +4 · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  44. A Language Model based Framework for New Concept Placement in Ontologies
    2024/02/27 by Hang Dong, Jiaoyan Chen, Dong, Hang +7 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.4 #I.2.7 #Information Retrieval (cs.IR) #Semantic Web and Ontologies #Service-Oriented Architecture and Web Services #Web Data Mining and Analysis