Lily results for OAEI 2021. - Shiyi Zou; Jiajun Liu 005; Zherui Yang; Yunyan Hu; Peng Wang 004 (OM@ISWC, 2021)

IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings. - Jiajun Liu 005; Peng Wang 004; Ziyu Shang; Chenxiao Wu (AAAI, 2023)

A Two-Stage Label Rectification Framework for Noisy Event Extraction. - Zijie Xu 003; Peng Wang 004; Ziyu Shang; Jiajun Liu 005 (DASFAA (3), 2023)

ASKRL: An Aligned-Spatial Knowledge Representation Learning Framework for Open-World Knowledge Graph. - Ziyu Shang; Peng Wang 004; Yuzhang Liu; Jiajun Liu 005; Wenjun Ke 002 (ISWC, 2023)

Towards Continual Knowledge Graph Embedding via Incremental Distillation. - Jiajun Liu 005; Wenjun Ke 002; Peng Wang 004; Ziyu Shang; Jinhua Gao; Guozheng Li; Ke Ji; Yanhe Liu (AAAI, 2024)

OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning. - Ziyu Shang; Wenjun Ke 002; Nana Xiu; Peng Wang 004; Jiajun Liu 005; Yanhui Li; Zhizhao Luo; Ke Ji (AAAI, 2024)

Boosting Textural NER with Synthetic Image and Instructive Alignment. - Jiahao Wang; Wenjun Ke 002; Peng Wang 004; Hang Zhang; Dong Nie; Jiajun Liu 005; Guozheng Li; Ziyu Shang (ACL (Findings), 2024)

Balanced Knowledge Distillation with Open-Domain Unlabeled Data for Named Entity Recognition. - Chenxiao Wu; Wenjie Ye; Jiajun Liu 005; Peng Wang 004; Wenjun Ke 002 (ADMA (5), 2024)

Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction. - Guozheng Li; Wenjun Ke 002; Peng Wang 004; Zijie Xu 003; Ke Ji; Jiajun Liu 005; Ziyu Shang; Qiqing Luo (LREC/COLING, 2024)

Incorporating Schema-Aware Description into Document-Level Event Extraction. - Zijie Xu 003; Peng Wang 004; Wenjun Ke 002; Guozheng Li; Jiajun Liu 005; Ke Ji; Xiye Chen; Chenxiao Wu (IJCAI, 2024)

Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification. - Ke Ji; Peng Wang 004; Wenjun Ke 002; Guozheng Li; Jiajun Liu 005; Jingsheng Gao; Ziyu Shang (IJCAI, 2024)

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction. - Guozheng Li; Peng Wang 004; Wenjun Ke 002; Yikai Guo; Ke Ji; Ziyu Shang; Jiajun Liu 005; Zijie Xu 003 (IJCAI, 2024)

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors. - Guozheng Li; Peng Wang 004; Jiajun Liu 005; Yikai Guo; Ke Ji; Ziyu Shang; Zijie Xu 003 (IJCAI, 2024)

Empirical Analysis of Dialogue Relation Extraction with Large Language Models. - Guozheng Li; Zijie Xu 003; Ziyu Shang; Jiajun Liu 005; Ke Ji; Yikai Guo (IJCAI, 2024)

Fast and Continual Knowledge Graph Embedding via Incremental LoRA. - Jiajun Liu 005; Wenjun Ke 002; Peng Wang 004; Jiahao Wang; Jinhua Gao; Ziyu Shang; Guozheng Li; Zijie Xu 003; Ke Ji; Yining Li (IJCAI, 2024)

Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning. - Ziyu Shang; Peng Wang 004; Wenjun Ke 002; Jiajun Liu 005; Hailang Huang; Guozheng Li; Chenxiao Wu; Jianghan Liu; Xiye Chen; Yining Li (IJCAI, 2024)

Unveiling LoRA Intrinsic Ranks via Salience Analysis. - Wenjun Ke 002; Jiahao Wang; Peng Wang 004; Jiajun Liu 005; Dong Nie; Guozheng Li; Yining Li (NeurIPS, 2024)

On the Consistency of Commonsense in Large Language Models. - Guozheng Li; Peng Wang 004; Wenjun Ke 002; Zijie Xu 003; Jiajun Liu 005; Ziyu Shang (ACL (Findings), 2025)

LLM-Guided Semantic-Aware Clustering for Topic Modeling. - Jianghan Liu; Ziyu Shang; Wenjun Ke 002; Peng Wang 004; Zhizhao Luo; Jiajun Liu 005; Guozheng Li; Yining Li (ACL (1), 2025)

Acquisition and Application of Novel Knowledge in Large Language Models. - Ziyu Shang; Jianghan Liu; Zhizhao Luo; Peng Wang 004; Wenjun Ke 002; Jiajun Liu 005; Zijie Xu 003; Guozheng Li (ACL (1), 2025)

Exploring Meta Evidence for Prompt Optimization. - Yao He; Jiajun Liu 005; Wenjun Ke 002; Peng Wang 004; Congda Xiao; Yining Li (ICASSP, 2025)

Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning. - Ziyu Shang; Peng Wang 004; Jianghan Liu; Jiajun Liu 005; Guozheng Li; Zijie Xu 003; Zhizhao Luo; Xiye Chen; Wenjun Ke 002 (IEEE Trans. Knowl. Data Eng., 2025)

Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts. - Jiajun Liu 005; Yao He; Wenjun Ke 002; Peng Wang 004; Ziyu Shang; Guozheng Li; Zijie Xu 003 (AAAI, 2026)

Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation. - Hengyuan Xu; Wenjun Ke 002; Yao He; Jiajun Liu 005; Dong Nie; Peng Wang 004; Ziyu Shang; Zijie Xu 003 (AAAI, 2026)

Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models. - Zijie Xu 003; Wenjun Ke 002; Peng Wang 004; Guozheng Li; Qingjian Ni; Jiajun Liu 005; Ziyu Shang; Jing Zhou (AAAI, 2026)

On the Role of Discriminative Models in Generative Relation Extraction. - Guozheng Li; Peng Wang; Zijie Xu 003; Jing Zhou; Jiajun Liu 005; Ziyu Shang (ACL (1), 2026)

Exploring Layer Activation Dynamic of CoT via Knowledge Probe. - Chuanxin Zhang; Jiajun Liu 005; Yao He; Wenjun Ke 002; Peng Wang 004; Yankun Le; Sirui Liu; Zhaoyu Yang (ACL (1), 2026)

Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts. - Jing Zhou; Peng Wang 004; Wenjun Ke 002; Jiajun Liu 005; Yao He (ACL (1), 2026)

Unlearning of Knowledge Graph Embedding via Preference Optimization. - Jiajun Liu 005; Wenjun Ke 002; Peng Wang 004; Yao He; Ziyu Shang; Guozheng Li; Zijie Xu 003; Ke Ji (WWW, 2026)

Towards evidence-aware retrieval-augmented generation via self-corrective chain-of-thought. - Yining Li; Wenjun Ke 002; Jiajun Liu 005; Peng Wang 004; Jianghan Liu; Yao He (Inf. Process. Manag., 2026)

LogicICL: Towards Instructive Logical-Aware Demonstrations for Stimulating LLMs Mathematical Reasoning Ability. - Yao He; Jiajun Liu 005; Wantao Wen; Yikai Guo; Hanchao Chen; Yue Ma 026; Wenjun Ke 002; Peng Wang 004 (IEEE Trans. Emerg. Top. Comput. Intell., 2026)