Lijing Zhu

Lijing Zhu

Assistant professor at University of Houston-Clear Lake. Ph.D. in Data Science from Bowling Green State University. Research focus on machine learning and graph-based deep learning.

Publications

For a fuller and more frequently updated record, please visit my Google Scholar profile.

2025

ETT-CKGE: Efficient Task-Driven Tokens for Continual Knowledge Graph Embedding

Authors: Lijing Zhu, Qizhen Lan, Qing Tian, Wenbo Sun, Li Yang, Lu Xia, Yixin Xie, Xi Xiao, Tiehang Duan, Cui Tao, et al.
Venue: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2025
Status: Accepted

Comparison efficiency for ETT-CKGE Overall model figure for ETT-CKGE
Comparison Table Overall Model Figure

Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults

Authors: Dong Hyun Jeon, Lijing Zhu, Haifang Li, Pengze Li, Jingna Feng, Tiehang Duan, Houbing Herbert Song, Cui Tao, and Shuteng Niu
Venue: Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM), Boise, ID, USA, 2025
Status: To appear

Overall model figure for Temporal GNN Attack paper

E2CB2former: Effective and Explainable Transformer for CB2 Receptor Ligand Activity Prediction

Authors: Xi Xiao, Wentao Wang, Jiacheng Xie, Lijing Zhu, Gaofei Chen, Zhengji Li, Tianyang Wang, and Min Xu
Venue: International Joint Conference on Neural Networks (IJCNN), 2025
Status: Submitted

Overall model figure for E2CB2former

2024

Flexible Memory Rotation (FMR): Rotated Representation with Dynamic Regularization to Overcome Catastrophic Forgetting in Continual Knowledge Graph Learning

Authors: Lijing Zhu, Dong Hyun Jeon, Wenbo Sun, Li Yang, Chloe Yinxin Xie, and Shuteng Niu
Venue: IEEE International Conference on Big Data (IEEE Big Data), 2024
Status: Accepted

Overall model figure for FMR

HGTDP-DTA: Hybrid Graph-Transformer with Dynamic Prompt for Drug-Target Binding Affinity Prediction

Authors: Xi Xiao, Rui Jiying, Jiacheng Xie, Lijing Zhu, Gaofei Chen, Zhengji Li, Tianyang Wang, and Min Xu
Venue: International Conference on Neural Information Processing (ICONIP), 2024
Status: Accepted

Overall model figure for HGTDP-DTA

Upload the model figure to images/publications/hgtdp-dta-overview.png.

2023

SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection

Authors: Lijing Zhu, Qizhen Lan, Alvaro Velasquez, Houbing Song, Acharya Kamal, Qing Tian, and Shuteng Niu
Venue: 2023 IEEE International Conference on Data Mining Workshops (ICDMW), pages 1186-1193. IEEE, 2023
Status: Published

Overall model figure for SKGHOI