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 temporal knowledge graphs and knowledge acquisition, with particular interest in combating temporal degradation in entity linking by integrating dynamic contrastive learning, multimodal fusion, and fairness-aware modeling for low-degree entities.

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

If you are interested in academic collaboration in the areas of temporal knowledge graphs, entity-centric learning, or multimodal information integration, feel free to reach out to me via email at p.zhang@uva.nl.

Publications

  • 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.
    Paper | Code

  • ECAI 2024 TIGER: Temporally Improved Graph Entity Linker. Pengyu Zhang, Congfeng Cao, Paul Groth. IOS Press, pp. 3733–3740.
    Paper | Code

  • 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.
    Paper | Code

  • 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, 646: 129874.
    Paper | Code

  • 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, 126: 106717.
    Paper | Code

  • 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, 34(11): 1659–1672. (CCF-A, EI)
    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, 12(9): 383.
    Paper | Code

CV

CV