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:
[5] Z. Xue, Z. Zhang, H. Liu, S. Yang, and S. Han, “Learning Knowledge Graph Embedding with Multi-granularity Relational Augmentation Network,” Expert Systems with Applications (ESWA), pp. 120953, 2023. doi: 10.1016/j.eswa.2023.120953. (SCI, Q1 Top, IF=7.5) [Link] [Code] [BibTex]
[4] Z. Li, Y. Jian, Z. Xue, Y. Zheng, M. Zhang, Y. Zhang, X. Hou and X. Wang, “Text-enhanced Knowledge Graph Representation Learning with Local Structure,” Information Processing & Management (IP&M), pp. 103797, 2024. doi: 10.1016/j.ipm.2024.103797. (SCI&SSCI, Q1 Top, IF=7.4) [Link] [Code] [BibTex]
[3] Z. Xue, H. Liu, Z. Zhang, ***, and ****, “**** Knowledge Graph Embedding*******,” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), pp. 1-13, 202*. doi: 10.1109/TNNLS.202*.3055147. (SCI, Q1 Top, IF=10.2) [Link] [Code] [BibTex]
[2] Z. Xue, H. Liu, Z. Zhang, ***, and ****, “******* for Knowledge Graph Embedding,” IEEE Transactions on Knowledge and Data Engineering (TKDE), pp. 1-13, 202*. doi: 10.1109/TKDE.202*.3005952. (SCI, CCF A, IF=8.9) [Link] [Code] [BibTex]
[1] Z. Xue, H. Liu, Z. Zhang, ***, and ****, “********* Knowledge Graph Embedding,” Neurocomputing, vol. 427, pp. 118-130, 202*. doi: 10.1016/j.neucom.202*.07.137. (SCI, Q2 Top, IF=5.5) [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.
[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: August 18, 2024