个人简介#

2026#

EvoThink: Evolving Thinking in Large Reasoning Models via Self-Pruning and Aha-Moment Preference Optimization
Dai, X., Xin, Z., Hu, H., Ren, L., Jin, R., Xiao, G., Qi, G., Dong, K., Du, Z., and Zhang, Y.
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-26)
Large Reasoning Models Preference Optimization

NaVQA: Mitigating Silent Failures in Question Answering over Virtual Knowledge Graph
Xiao, G., Xue, H., Ren, L., Geng, Y., Qi, G., Zhang, S., Guo, D., Di Panfilo, M., Lanti, D., and Ding, L.
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-26)
Virtual Knowledge Graph Question Answering

Information-Needs-Guided Virtual Knowledge Graph Enrichment via Large Language Models
Ren, L., Xiao, G., Qi, G., Du, W., Geng, Y., Xue, H., Yue, Z., Li, M., Di Panfilo, M., Lanti, D., Hamaz, K., and Ding, L.
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-26)
Virtual Knowledge Graph Large Language Models

Code as Representation: A Compilable Parsing Paradigm for Academic Documents
Jin, R., Wang, J., Liang, M., Gao, Y., Li, Y., Dong, K., Qi, G., Ren, L., Chen, Y., Dai, X., Li, J., Wu, T., and Haffari, G.
ACM International Conference on Multimedia (ACM MM 2026)
Document Parsing Multimodality

2025#

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

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

Can LLMs Solve ASP Problems? Insights from a Benchmarking Study
Ren, L., Xiao, G., Qi, G., Geng, Y., and Xue, H.
International Conference on Principles of Knowledge Representation and Reasoning (KR 2025)
Answer Set Programming Large Language Models Benchmark

2024#

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

2023#

CoVariance-based causal debiasing for entity and relation extraction
Ren, L., Liu, Y., Cao, Y., and Ouyang, C.
Findings of the Association for Computational Linguistics: EMNLP 2023, 2627-2640
Information Extraction Causal Inference · 代码

Causal inference-based debiasing framework for knowledge graph completion
Ren, L., Liu, Y., and Ouyang, C.
International Semantic Web Conference (ISWC 2023), 328-347. Cham: Springer Nature Switzerland
Knowledge Graph Completion Causal Inference · 代码

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

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