Research Interest

Zengcan Xue, Ph.D. in Science, is currently an Associate Researcher at the Institute of Artificial Intelligence in Education, South China Normal University. He graduated from the National Engineering Research Center for E-Learning at Central China Normal University. His research focuses on knowledge graphs, neural networks, and knowledge graph reasoning. He has participated in multiple national key research and development programs, National Natural Science Foundation projects, and National Social Science Foundation projects. He has also presided over an excellence and innovation project funded by the Central Universities Basic Research Fund. He has published 12 journal and conference papers and holds 2 authorized national invention patents and 1 software copyright. Among these, 6 papers are first-authored or corresponding-authored by him, including publications in top-tier journals in the field of artificial intelligence such as Expert Systems with Applications (Q1 Top), Knowledge-Based Systems (Q1 Top), and Information Processing & Management (Q1 Top), as well as top journals in educational technology such as British Journal of Educational Technology (Q1 Top) and Interactive Learning Environments (JCR Q1). He has also published papers in Chinese journals such as Digital Education and the Journal of Bingtuan Education Institute. He serves as a reviewer for several journals, including Engineering Applications of Artificial Intelligence. He has received honors, such as the National Scholarship and Outstanding Doctoral Dissertation Award. For more information, please do not hesitate to visit my personal website at https://zengcanxue.github.io.

Teaching

[2025.09-2025.12] Undergraduate Courses Taught: Intelligent Education

[2025.09] Appointed as Council Member of the Education Technology Committee of the Guangdong Higher Education Association

[2025.08] Served as Lead Instructor for the 11th "GAI Empowering Future Teachers" Advanced Training Program at South China Normal University

[2025.07] Invited as Panel Expert for the Interdisciplinary Forum on Educational Artificial Intelligence in Guangdong Province

[2025.07] Served as Lead Instructor for the 10th "GAI Empowering Future Teachers" Advanced Training Program at South China Normal University

[2025.06] Delivered a keynote speech upon invitation by the Virtual Teaching and Research Section "Research on Teachers' Intelligent Education Literacy" of the Ministry of Education

Representative Research Achievements

Journals:

[1] 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)

[2] 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)

[3] 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)

[4] 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)

[5] 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)

[6] 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)

Conferences:

[7] 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. (EI Conference)

[8] 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)

Patents & Software:

[9] National Patent: A Method and Application of Robot Intelligent Learning Guidance Based on Music Knowledge Graph Inference, CN202210087035.8.

[10] National Patent: A Digital Educational Resource Matching Method and System Based on Heterogeneous Interactive Behavior, CN202210099175.7.

[11] Software: KBCoC Text Extraction Software, 2021SR0010366.