Publications
Ongoing Projects
A project related to agentic memory and reinforcement learning. More details will be added after the review process.
LLM-based agent for clinical tasks.
Selected Publications
Xiao, Y., Zhou, H., Yang, H., Li, M., Zhan, Z., and Zhang, R. (2026). Completing Multimodal Biomedical Knowledge Graphs with Schema-Aware Modality Imputation and Alignment. (Accepted at SIGKDD 2026).
Xiao, Y. and Zhang, R. (2026). HERGC: Heterogeneous Experts Representation and Generative Completion for Multimodal Knowledge Graphs. Advances in Knowledge Discovery and Data Mining (PAKDD 2026), pages 327–339.
Zhan, Z., Zhou, S., Zhou, X., Xiao, Y., Wang, J., Deng, J., Zhu, H., Hou, Y., Song, Y., Lin, M. and Zhang, R. (2026). Retrieval-augmented in-context learning for multimodal large language models in disease classification. Journal of Biomedical Informatics, 105017.
Xiao, Y., Zhang, S., Dai, Y., Zhou, H., Hou, J., Ding, J., and Zhang, R. (2025). DrKGC: Dynamic Subgraph Retrieval-Augmented LLMs for Knowledge Graph Completion across General and Biomedical Domains. Findings of the Association for Computational Linguistics: EMNLP 2025, pages 16432–16445.
Li, M., Zhan, Z., Yang, H., Xiao, Y., Zhou, H., Huang, J. and Zhang, R. (2025). Benchmarking retrieval-augmented large language models in biomedical NLP: Application, robustness, and self-awareness. Science Advances, 11(47), eadr1443.
Yang, H., Li, M., Zhou, H., Xiao, Y., Fang, Q., Zhou, S. and Zhang, R. (2025). Large language model synergy for ensemble learning in medical question answering: design and evaluation study. Journal of Medical Internet Research, 27, e70080.
Xiao, Y., Zhang, S., Zhou, H., Li, M., Yang, H., and Zhang, R. (2024). FuseLinker: Leveraging LLM’s Pre-trained Text Embeddings and Domain Knowledge to Enhance GNN-based Link Prediction on Biomedical Knowledge Graphs. Journal of Biomedical Informatics, 158, 104730.
Yan, Y., Hou, Y., Xiao, Y., Zhang, R. and Wang, Q. (2024). Knownet: Guided health information seeking from llms via knowledge graph integration. IEEE Transactions on Visualization and Computer Graphics, 31(1), 547-557.
Xiao, Y., Hou, Y., Zhou, H., Diallo, G., Fiszman, M., Wolfson, J., Zhou, L., Kilicoglu, H., Chen, Y., Su, C., Xu, H., Mantyh, W. G., and Zhang, R. (2024). Repurposing Non-pharmacological Interventions for Alzheimer’s Disease through Link Prediction on Biomedical Literature. Scientific Reports, 14(1), 8693.
Zhou, H., Li, M., Xiao, Y., Yang, H. and Zhang, R. (2024). LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction. Journal of the American Medical Informatics Association, 31(9), 2010-2018.