Wen Zhang, Assistant professor, School of Software Technology, Zhejiang University. She received a bachelor's degree from Hefei University of Technology in 2015, and doctoral degree from Zhejiang University in 2020, supervised by Huajun Chen. From August to November 2017 and June to September in 2018, I was a visiting scholar at University of Zurich, supervised by Abraham Bernstein. Her research interests include knowledge graph, representation learning, and artificial intelligence. She has published more than 50 papers on international conference and journals includes NeurIPS/KDD/WWW/IJCAI/AAAI/ICDE/ACM MM/WSDM. 

Academic Service

[Confernce]

2023: Semantic Web Challenge Chair of ISWC2023;

2022: Web Presence and Publicity Chair of ISWC2022;

2022: Young Scholar Forum Chair of CCKS2022;

2019: Local Organizing Chair of JIST2019.

[Journal]

On Editoral Board of  the Transactions on Graph Data and Knowledge

Academic Award

2022: Best Application Paper Award of IJCKG2022;

2021: Best Paper Award of IJCKG2021.

Lastest Publised Papers

1. Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Jeff Z. Pan, Yuan He, Wen Zhang, Ian Horrocks and Huajun Chen. Zero-shot and Few-shot Learning with Knowledge Graphs: A Comprehensive Survey. Proceedings of the IEEE. 2023. (CCF A).
   

2. Mingyang Chen*, Wen Zhang*, Yuxia Geng, Zezhong Xu, Jeff Z Pan, Huajun Chen. Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs. IJCAI2023. (CCF A) 

3. Wen Zhang, Zhen Yao, Mingyang Chen, Zhiwei Huang, Huajun Chen. NeuralKG-ind: A Python Library for Inductive Knowledge Graph Representation Learning. SIGIR2023 Demonstration. (CCF A)

4. Zhuo Chen*, Wen Zhang*, Yufeng Huang, Mingyang Chen, Yuxia Geng, Hongtao Yu, Zhen Bi, Yichi Zhang, Zhen Yao, Wenting Song, Xinliang Wu, Yi Yang, Zhaoyang Lian, Yingying Li, Lei Cheng, Huajun Chen. Tele-Knowledge Pre-training for Fault Analysis. ICDE2023. (CCFA) 

5. Wen Zhang*, Yushan Zhu*, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, Huajun Chen. Structure Pre-training and Prompt Tuning for Knowledge Graph. WWW2023. (CCF A) 

For more publications, pleaser refer to Google Scholar.

Tools 

NeuralKG: An Open Source Library for Diverse Representation Learning of Knowledge Graphs.

NeuralKG-ind: Library for Inductive Knowledge Graph Representation Learning.

Courses

2022-2023 Semester: Graph Representation Learning and Applications

2022-2023 Semester: Knowledge Representation and Reasoning