Mr Zhiliang Xiang
Teams and roles for Zhiliang Xiang
Graduate Demonstrator
Publication
2027
- Hu, Z. et al., 2027. Monotonicity-aware knowledge fusion for hyper-relational knowledge representation. Information Fusion: An International Journal on Multi-Sensor, Multi-Source Information Fusion 137 104643. (10.1016/j.inffus.2026.104643)
2026
- Hu, Z. et al., 2026. COTET: Cross-view optimal transport for knowledge graph entity typing. Neurocomputing 706 135053. (10.1016/j.neucom.2026.135053)
- Hu, Z. et al., 2026. Leveraging intra-modal and inter-modal interaction for multi-modal entity alignment. Neurocomputing 676 133017. (10.1016/j.neucom.2026.133017)
2025
- Xiang, Z. et al. 2025. Advances in logic-based entity resolution: enhancing ASPEN with local merges and optimality criteria. Presented at: 22nd International Conference on Principles of Knowledge Representation and Reasoning Melbourne, Australia November 11-17 2025. Proceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning. International Joint Conferences on Artificial Intelligence Organization. , pp.659-669. (10.24963/kr.2025/64)
- Bienvenu, M. et al., 2025. Recent advances in logic-based entity resolution. SIGMOD record 54 (3), pp.7-21. (10.1145/3774303.3774305)
- Hu, Z. et al., 2025. Multi-level mixture of experts for multimodal entity linking. Presented at: 31st SIGKDD Conference on Knowledge Discovery and Data Mining Toronto, Canada 3-7 August 2025. Published in: Antonie, A. et al., Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. New York, NY, USA: Association for Computing Machinery. , pp.979-990. (10.1145/3711896.3737060)
2024
- Xiang, Z. et al. 2024. ASPEN: ASP-Based system for collective entity resolution. Presented at: 21st International Conference on Principles of Knowledge Representation and Reasoning Hanoi, Vietnam 2 - 8 November 2024. Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning — KR in the Wild. IJCAI Organization. , pp.788-799. (10.24963/kr.2024/74)
2023
- Hu, Z. et al., 2023. Multi-view contrastive learning for entity typing over knowledge graphs. Presented at: 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) Singapore 06 -10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Singapore: ACL. , pp.12950-12963. (10.18653/v1/2023.emnlp-main.800)
- Hu, Z. et al., 2023. HyperFormer: Enhancing entity and relation interaction for hyper-relational knowledge graph completion. Presented at: 32nd ACM International Conference on Information and Knowledge Management Birmingham, UK 21-25 October 2023. CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. ACM. , pp.803-812. (10.1145/3583780.3614922)
2022
- Hu, Z. et al., 2022. Transformer-based entity typing in knowledge graphs. Presented at: Conference on Empirical Methods in Natural Language Processing (EMNLP) Abu Dhabi 07-11 December 2022. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.. , pp.5988-6001.
- Cohn, A. G. et al., 2022. A framework for categorising AI evaluation instruments. Presented at: Workshop on AI Evaluation Beyond Metrics Vienna, Austria 24 July 2022. Published in: Hernandez-Orallo, J. et al., Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022). Vol. 3169.CEUR Workshop Proceedings
- Hu, Z. et al., 2022. Type-aware embeddings for multi-hop reasoning over knowledge graphs. Presented at: 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022) Vienna, Austria 23-29 July 2022.
Articles
- Hu, Z. et al., 2027. Monotonicity-aware knowledge fusion for hyper-relational knowledge representation. Information Fusion: An International Journal on Multi-Sensor, Multi-Source Information Fusion 137 104643. (10.1016/j.inffus.2026.104643)
- Hu, Z. et al., 2026. COTET: Cross-view optimal transport for knowledge graph entity typing. Neurocomputing 706 135053. (10.1016/j.neucom.2026.135053)
- Hu, Z. et al., 2026. Leveraging intra-modal and inter-modal interaction for multi-modal entity alignment. Neurocomputing 676 133017. (10.1016/j.neucom.2026.133017)
- Bienvenu, M. et al., 2025. Recent advances in logic-based entity resolution. SIGMOD record 54 (3), pp.7-21. (10.1145/3774303.3774305)
Conferences
- Xiang, Z. et al. 2025. Advances in logic-based entity resolution: enhancing ASPEN with local merges and optimality criteria. Presented at: 22nd International Conference on Principles of Knowledge Representation and Reasoning Melbourne, Australia November 11-17 2025. Proceedings of the 22nd International Conference on Principles of Knowledge Representation and Reasoning. International Joint Conferences on Artificial Intelligence Organization. , pp.659-669. (10.24963/kr.2025/64)
- Hu, Z. et al., 2025. Multi-level mixture of experts for multimodal entity linking. Presented at: 31st SIGKDD Conference on Knowledge Discovery and Data Mining Toronto, Canada 3-7 August 2025. Published in: Antonie, A. et al., Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2. New York, NY, USA: Association for Computing Machinery. , pp.979-990. (10.1145/3711896.3737060)
- Xiang, Z. et al. 2024. ASPEN: ASP-Based system for collective entity resolution. Presented at: 21st International Conference on Principles of Knowledge Representation and Reasoning Hanoi, Vietnam 2 - 8 November 2024. Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning — KR in the Wild. IJCAI Organization. , pp.788-799. (10.24963/kr.2024/74)
- Hu, Z. et al., 2023. Multi-view contrastive learning for entity typing over knowledge graphs. Presented at: 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) Singapore 06 -10 December 2023. Published in: Bouamor, H. , Pino, J. and Bali, K. eds. Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Singapore: ACL. , pp.12950-12963. (10.18653/v1/2023.emnlp-main.800)
- Hu, Z. et al., 2023. HyperFormer: Enhancing entity and relation interaction for hyper-relational knowledge graph completion. Presented at: 32nd ACM International Conference on Information and Knowledge Management Birmingham, UK 21-25 October 2023. CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. ACM. , pp.803-812. (10.1145/3583780.3614922)
- Hu, Z. et al., 2022. Transformer-based entity typing in knowledge graphs. Presented at: Conference on Empirical Methods in Natural Language Processing (EMNLP) Abu Dhabi 07-11 December 2022. Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics.. , pp.5988-6001.
- Cohn, A. G. et al., 2022. A framework for categorising AI evaluation instruments. Presented at: Workshop on AI Evaluation Beyond Metrics Vienna, Austria 24 July 2022. Published in: Hernandez-Orallo, J. et al., Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022). Vol. 3169.CEUR Workshop Proceedings
- Hu, Z. et al., 2022. Type-aware embeddings for multi-hop reasoning over knowledge graphs. Presented at: 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022) Vienna, Austria 23-29 July 2022.