About Me

I am currently a third-year Ph.D. student at the INtelligent Data Engineering Lab, University of Amsterdam, supervised by Prof. Dr. Paul Groth and Dr. Klim Zaporojets.

My research focuses on building robust knowledge representations in evolving knowledge graphs by fusing multiple information sources, including graph structure, text, images, and temporal signals. I develop methods that address temporal degradation and multi-modal integration across tasks such as knowledge graph completion and graph-based recommendation.

Before joining UvA, I received my Master’s degree in Control Engineering from Beijing University of Technology in 2022, where I was supervised by Prof. Dr. Yong Zhang. My master’s research focused on graph neural networks under power-law distribution and multi-view graph representation learning.

Publications

• ESWC 2026 Are a Thousand Words Better Than a Single Picture? Beyond Images - A Framework for Multi-Modal Knowledge Graph Dataset Enrichment. Pengyu Zhang, Klim Zaporojets, Jie Liu, Jia-Hong Huang, Paul Groth. 23rd European Semantic Web Conference.
  Paper | Code | Video (YouTube) | Video (Bilibili)

• ESWA 2025 A survey of large language models for data challenges in graphs. Mengran Li, Pengyu Zhang, Wenbin Xing, Yijia Zheng, Klim Zaporojets, Junzhou Chen, Ronghui Zhang, Yong Zhang, Siyuan Gong, Jia Hu, Xiaolei Ma, Zhiyuan Liu, Paul Groth, Marcel Worring. Expert Systems with Applications. 10.1016/j.eswa.2025.129643.
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• EKAW 2024 Understanding the Impact of Entity Linking on the Topology of Entity Co-occurrence Networks for Social Media Analysis. James Nevin, Pengyu Zhang, Dimitar Dimitrov, Michael Lees, Paul Groth, Stefan Dietze. International Conference on Knowledge Engineering and Knowledge Management. 10.1007/978-3-031-77792-9_5.
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• CIKM 2024 CYCLE: Cross-Year Contrastive Learning in Entity-Linking. Pengyu Zhang, Congfeng Cao, Klim Zaporojets, Paul Groth. Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. 10.1145/3627673.3679702.
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• ECAI 2024 TIGER: Temporally Improved Graph Entity Linker. Pengyu Zhang, Congfeng Cao, Paul Groth. European Conference on Artificial Intelligence. 10.3233/FAIA240933.
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• Physica A 2024 Relationship Updating Network with Contrastive Learning. Pengyu Zhang, Yong Zhang, Xinglin Piao, Yongliang Sun, Baocai Yin. Physica A: Statistical Mechanics and its Applications. 10.1016/j.physa.2024.129874.
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• EAAI 2023 MVMA-GCN: Multi-view Multi-layer Attention Graph Convolutional Networks. Pengyu Zhang, Yong Zhang, Jingcheng Wang, Baocai Yin. Engineering Applications of Artificial Intelligence. 10.1016/j.engappai.2023.106717.
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• JCAD 2022 Visual Analysis for Name Disambiguation of Academic Papers (in Chinese). Pengyu Zhang, Yong Zhang, Yanjie Cui, Baocai Yin. Journal of Computer-Aided Design and Computer Graphics. 10.3724/sp.j.1089.2022.19191.
  Paper | Video (YouTube) | Video (Bilibili)

• Information 2021 Dual-Channel Heterogeneous Graph Network for Author Name Disambiguation. Xin Zheng, Pengyu Zhang, Yanjie Cui, Rong Du, Yong Zhang. Information. 10.3390/info12090383.
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CV

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