Welcome to Pengyu Zhang’s Personal Homepage!
Background: I am a second-year Ph.D. student at the Informatics Institute of the University of Amsterdam (UvA) and a member of the INDE lab, where I am supervised by Prof. Paul Groth. Before joining UvA, I obtained my master’s degree from the Faculty of Information Technology at Beijing University of Technology (BJUT).
Research Interests: My research primarily focuses on enhancing Temporal Knowledge Graphs (TKGs) to better capture the dynamic nature of real-world entities and their relationships over time. I am particularly interested in integrating structural and textual information to improve entity linking and address the issue of temporal degradation. Feel free to reach out if you have any questions or would like to discuss further.
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
EKAW 2024: 24th International Conference on Knowledge Engineering and Knowledge Management
CYCLE: Cross-Year Contrastive Learning in Entity-linking
Pengyu Zhang, Congfeng Cao, Klim Zaporojets, Paul Groth
CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management
TIGER: Temporally Improved Graph Entity Linker
Pengyu Zhang, Congfeng Cao, Paul Groth
ECAI 2024: 7th European Conference on Artifical Intelligence
Relationship updating network with contrastive learning
Pengyu Zhang, Yong Zhang, Xinglin Piao, Yongliang Sun, Baocai Yin
Physica A: Statistical Mechanics and its Applications
MVMA-GCN: Multi-view multi-layer attention graph convolutional networks
Pengyu Zhang, Yong Zhang, Jingcheng Wang, Baocai Yin
Engineering Applications of Artificial Intelligence
Dual-channel heterogeneous graph network for author name disambiguation
Xin Zheng, Pengyu Zhang, Yanjie Cui, Rong Du, Yong Zhang
Information
Visual Analysis for Name Disambiguation of Academic Papers
Pengyu Zhang, Yong Zhang, Yangjie Cui, Baocai Yin
Journal of Computer-Aided Design & Computer Graphics