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Zengcan Xue(Ph.D. Candidate) |
Currently, I am a Ph.D. candidate of National Engineering Research Center for E-Learning (NERCEL) at Faculty of Artifical Intelligence in Education, Central China Normal University. My research interests include knowledge graph representation learning and its applications, temporal knowledge graph and deep learning (convolutional neural networks, graph neural networks, etc.).
Journals:
[6] Xue, Z., Zhang, Z., Liu, H., Yang, S., & Han, S. (2023).
Learning Knowledge Graph Embedding with Multi-granularity Relational Augmentation Network.
Expert Systems with Applications, 233, 120953.(SCI, Q1 Top, IF=7.5)
[Link]
[Code]
[BibTex]
[5] Xue, Z., Zhang, Z., Liu, H., Li, Z., Han, S., & Zhang, E. (2025). MHRN: A Multi-perspective Hierarchical Relation Network for Knowledge Graph Embedding. Knowledge-Based Systems, 313, 113040. (SCI, Q1 Top, IF=7.2) [Link] [Code] [BibTex]
[4] Li, Z., Jian, Y., Xue, Z., Zheng, Y., Zhang, M., Zhang, Y., Hou, X., & Wang, X. (2024). Text-enhanced Knowledge Graph Representation Learning with Local Structure. Information Processing & Management, 61(5), 103797. (SCI&SSCI, Q1 Top, IF=7.4) [Link] [Code] [BibTex]
[3] Zhou, X., Zhang, S., Xue, Z., Lu, Xiao., Xiao, T., Wu, L., Liu, L., & Li, X. (2025). CoCNet: A Chain-of-Clues Framework for Zero-Shot Referring Expression Comprehension. Expert Systems with Applications, 127633. (SCI, Q1 Top, IF=7.5) [Link] [Code] [BibTex]
[2] Zhang, E., Zhang, Z., Liu, H., Han, S., & Xue, Z.(2025). Exploring Peer Facilitation and Critical Thinking in Asynchronous Online Discussions: A Lag Sequential Analysis Approach. British Journal of Educational Technology, 1-25. (SSCI, Q1 Top, IF=6.7) [Link] [Code] [BibTex]
[1] Han, S., Zhang, Z., Liu, H., Kong, W., Xue, Z., Cao, T., & Shu, J. (2023). From Engagement to Performance: The Role of Effort Regulation in Higher Education Online Learning. Interactive Learning Environments, 32(10), 6607–6627. (SSCI, Q1, IF=3.7) [Link] [Code] [BibTex]
Conferences:
[2] Z. Xue, H. Liu, Z. Zhang and S. Yang, “Dynamic Educational Knowledge Graph Model via Information Entropy for Knowledge Building,” 2021 IEEE International Conference on Engineering, Technology & Education (TALE), Wuhan, Hubei, China, 2021, pp. 01-07, doi: 10.1109/TALE52509.2021.9678627. (EI Conference) [Link]
[1] Z. Xue, Y. Zhang, C. Xu, “Dynamic Knowledge Graph: A Tool for Fostering Conceptual Change in Knowledge Building Community,” Proceeding of the 2020 Knowledge Building Summer Institute (KBSI), Toronto, ON, Canada, 2020, pp. 217-222. (International Conference) [Link]
Patents & Software:
[3] National Patent: A Method and Application of Robot Intelligent Learning Guidance Based on Music Knowledge Graph Inference, CN202210087035.8.
[2] National Patent: A Digital Educational Resource Matching Method and System Based on Heterogeneous Interactive Behavior, CN202210099175.7.
[1] Software: KBCoC Text Extraction Software, 2021SR0010366.
[6] 2023.12,(Attend) 2023 Future Education Summit and Education Power Construction and Education Digital Development Forum: Wuhan East Lake International Conference Center, Wuhan, China.
[5] 2021.12,(Report) IEEE International Conference on Engineering, Technology & Education (TALE): CCNU, Wuhan, China.
[4] 2021.10,(Attend) Vison And Learning SEminar (VALSE): Hangzhou International Expo Center, Hangzhou, China.
[3] 2021.07,(Attend) National Key Research Project Seminar: Beijing Normal University,Beijing, China.
[2] 2020.11,(Report) 2020 Knowledge Building Summer Institute (KBSI): University of Toronto, Toronto, Canada.
[1] 2019.02,(Report) East Asian Graduate Student Symposium on the Learning Sciences: University of Hong Kong, Hong Kong, China.
Last modified: April 10, 2025