Page Not Found
Page not found. Your pixels are in another canvas.
Sitemap
A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Hui Yang
About me
Page not in menu
This is a page not in th emain menu
Posts
Future Blog Post
Published:
This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.
Blog Post number 4
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
Short description of portfolio item number 1
Portfolio item number 2
Short description of portfolio item number 2
publications
A Question of Norton-Sullivan in the Analytic Case
Published in International Mathematics Research Notices (IMRN 2021), 2021
This paper addresses a question of Norton-Sullivan in the context of analytic cases.
Recommended citation: Wang, J., & Yang, H. (2021). "A Question of Norton-Sullivan in the Analytic Case." International Mathematics Research Notices, 2021(21), 17201–17219. https://doi.org/10.1093/imrn/rnz231
Union and Intersection of All Justifications
Published in European Semantic Web Conference (ESWC 2022), 2022
This paper examines the union and intersection of all justifications in ontology systems.
Recommended citation: Chen, J., Ma, Y., Peñaloza, R., & Yang, H. (2022). "Union and Intersection of All Justifications." European Semantic Web Conference, 56–73. https://doi.org/10.1007/978-3-031-06981-9_4
Hypergraph-Based Inference Rules for Computing Ontology Justifications
Published in International Joint Conference on Automated Reasoning (IJCAR 2022), 2022
This paper introduces hypergraph-based inference rules for computing justifications in ontologies.
Recommended citation: Yang, H., Ma, Y., & Bidoit, N. (2022). "Hypergraph-Based Inference Rules for Computing-Ontology Justifications." International Joint Conference on Automated Reasoning, 310–328. https://doi.org/10.1007/978-3-031-10769-6_19
Efficient Extraction of EL-Ontology Deductive Modules
Published in AAAI Conference on Artificial Intelligence (AAAI 2023), 2023
This paper explores efficient methods for extracting EL-ontology deductive modules.
Recommended citation: Yang, H., Ma, Y., & Bidoit, N. (2023). "Efficient Extraction of EL-Ontology Deductive Modules." Proceedings of the AAAI Conference on Artificial Intelligence, 37(5), 6575–6582. https://doi.org/10.1609/aaai.v37i5.25808
Efficient Computation of General Modules for ALC Ontologies
Published in International Joint Conference on Artificial Intelligence (IJCAI 2023), 2023
This paper presents a method for efficiently computing general modules for ALC ontologies.
Recommended citation: Yang, H., Koopmann, P., Ma, Y., & Bidoit, N. (2023). "Efficient Computation of General Modules for ALC Ontologies." Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI-23), 3356–3364. https://doi.org/10.24963/ijcai.2023/374
Knowledge Graph Embedding Closed under Composition
Published in Data Mining and Knowledge Discovery (DMKD), 2024
This paper proposes a KGE approach that is closed under relation composition.
Recommended citation: Zheng, Z., Zhou, B., Yang, H., Tan, Z., Sun, Z., Li, C., Waaler, A., Kharlamov, E., & Soylu, A. (2024). "Knowledge graph embedding closed under composition." Data Mining and Knowledge Discovery, pp. 1–32. https://doi.org/10.1007/s10618-024-01050-x
Alleviating Over-Smoothing via Aggregation over Compact Manifolds
Published in Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024), 2024
This paper proposes alleviating over-smoothing in GNNs via aggregation over compact manifolds.
Recommended citation: Zhou, D., Yang, H., Xiong, B., Ma, Y., & Kharlamov, E. (2024). "Alleviating Over-Smoothing via Aggregation over Compact Manifolds." Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 390–404. https://doi.org/10.1007/978-981-97-2253-2_31
Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data
Published in European Semantic Web Conference (ESWC 2024), 2024
This paper presents a low-dimensional hyperbolic KGE model that better extrapolates to under-represented data.
Recommended citation: Zheng, Z., Zhou, B., Yang, H., Tan, Z., Waaler, A., Kharlamov, E., & Soylu, A. (2024). "Low-Dimensional Hyperbolic Knowledge Graph Embedding for Better Extrapolation to Under-Represented Data." European Semantic Web Conference, pp. 100–120. https://doi.org/10.1007/978-3-031-60626-7_6
Alleviating Over-Smoothing via Aggregation over Compact Manifolds (Extended Version)
Published in International Journal of Data Science and Analytics (JDSA), 2025
Extended journal version of the PAKDD 2024 paper on alleviating over-smoothing in GNNs.
Recommended citation: Zhou, D., Yang, H., Xiong, B., Ma, Y., & Kharlamov, E. (2025). "Alleviating over-smoothing via aggregation over compact manifolds (extended version)." International Journal of Data Science and Analytics, 20(8), 7055–7069. https://doi.org/10.1007/s41060-025-00726-3
TransBox: EL++-closed Ontology Embedding
Published in Proceedings of the ACM Web Conference 2025 (WWW 2025), 2025
This paper proposes TransBox, an EL++-closed ontology embedding method.
Recommended citation: Yang, H., Chen, J., & Sattler, U. (2025). "TransBox: EL++-closed Ontology Embedding." Proceedings of the ACM on Web Conference 2025, pp. 22–34. https://doi.org/10.1145/3701551.3703512
Language Models as Ontology Encoders
Published in International Semantic Web Conference (ISWC 2025), 2025
This paper explores the use of language models as encoders for OWL ontologies.
Recommended citation: Yang, H., Chen, J., He, Y., Gao, Y., & Horrocks, I. (2025). "Language Models as Ontology Encoders." International Semantic Web Conference, pp. 443–461. https://doi.org/10.1007/978-3-031-77792-9_26
RegD: Hierarchical Embeddings via Dissimilarity between Arbitrary Euclidean Regions
Published in KR 2026 (ML Track), 2026
This paper proposes RegD, a flexible Euclidean framework for hierarchical embeddings using dissimilarity between arbitrary geometric regions.
Recommended citation: Yang, H., & Chen, J. (2026). "RegD: Hierarchical Embeddings via Dissimilarity between Arbitrary Euclidean Regions." KR 2026 (ML Track). Accepted. https://arxiv.org/abs/2501.17518
Large Language Model for OWL Proofs
Published in Proceedings of the ACM Web Conference 2026 (WWW 2026), 2026
This paper studies large language models for generating and verifying OWL ontology proofs.
Recommended citation: Yang, H., Chen, J., & Sattler, U. (2026). "Large Language Model for OWL Proofs." Proceedings of the ACM Web Conference 2026. https://arxiv.org/abs/2601.12444
talks
Talk 1 on Relevant Topic in Your Field
Published:
This is a description of your talk, which is a markdown files that can be all markdown-ified like any other post. Yay markdown!
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.