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Xiao, G., Ren, L., Qi, G., Xue, H., Panfilo, M. D., and Lanti, D. (2025). LLM4VKG: Leveraging Large Language Models for Virtual Knowledge Graph Construction. Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI-25). | Keywords: Virtual Knowledge Graph; Large Language Models | github

Ren, L., Liu, Y., Ouyang, C., Yu, Y., Zhou, S., He, Y., and Wan, Y. (2025). DyLas: A dynamic label alignment strategy for large-scale multi-label text classification. Information Fusion, 120, 103081. | Keywords: Large-scale Multi-label Text Classification; Large Language Model; Causal Inference | github

Minglong, S., Chunping, O., Yongbin, L., and Lin, R. (2024). Multimodal emotion recognition based on hierarchical fusion strategy and contextual information embedding. Beijing Da Xue Xue Bao, 60(3), 393-402. | Keywords: Multimodality; Emotion Recognition

Ren, L., Liu, Y., Cao, Y., and Ouyang, C. (2023, December). CoVariance-based causal debiasing for entity and relation extraction. In Findings of the Association for Computational Linguistics: EMNLP 2023 (pp. 2627-2640). | Keywords: Information Extraction; Causal Inference | github

Ren, L., Liu, Y., and Ouyang, C. (2023, October). Causal inference-based debiasing framework for knowledge graph completion. In International semantic web conference: ISWC 2023 (pp. 328-347). Cham: Springer Nature Switzerland. | Keywords: Knowledge Graph Completion; Causal Inference | github

Yang, Z., Liu, Y., Ouyang, C., Ren, L., and Wen, W. (2023). Counterfactual can be strong in medical question and answering. Information Processing & Management, 60(4), 103408. | Keywords: Medical Question Answering; Causal Inference

Fang, W., Liu, Y., Ouyang, C., Ren, L., Li, J., and Wan, Y. (2023). Joint span and token framework for few-shot named entity recognition. AI Open, 4, 111-119. | Keywords: Information Extraction; Few-shot Learning

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VKG/OBDAHybrid QA