Interpretable Test Case Recommendation based on Knowledge Graph. - Wenjun Ke 002; Chao Wu; Xiufeng Fu; Chen Gao; Yinyi Song (QRS, 2020)

Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. - Wenjun Ke 002; Jinhua Gao; Huawei Shen; Xueqi Cheng (PAKDD (2), 2021)

A Quantitative Evaluation Method of Software Usability Based on Improved GOMS Model. - Kunlong Wang; Kanjing Li; Jinhua Gao; Bing Liu; Zhi Fang; Wenjun Ke 002 (QRS Companion, 2021)

Incorporating explicit syntactic dependency for aspect level sentiment classification. - Wenjun Ke 002; Jinhua Gao; Huawei Shen; Xueqi Cheng (Neurocomputing, 2021)

Extracting RoIs for Robust Far-infrared Pedestrian Detection on Board. - Jianwei Zhang; Xiaoguang Yuan; Zhewei Xu; Wenjun Ke 002 (ICIAI, 2022)

ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. - Wenjun Ke 002; Jinhua Gao; Huawei Shen; Xueqi Cheng (WSDM, 2022)

Online Noisy Continual Relation Learning. - Guozheng Li; Peng Wang 004; Qiqing Luo; Yanhe Liu; Wenjun Ke 002 (AAAI, 2023)

fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation. - Peng Wang 004; Tong Shao; Ke Ji; Guozheng Li; Wenjun Ke 002 (AAAI, 2023)

Revisiting Large Language Models as Zero-shot Relation Extractors. - Guozheng Li; Peng Wang 004; Wenjun Ke 002 (EMNLP (Findings), 2023)

Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer. - Wenjun Ke 002; Zongkai Tian; Qi Liu 056; Peng Wang 004; Jinhua Gao; Rui Qi (IJCAI, 2023)

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

Multimodal Named Entity Recognition with Bottleneck Fusion and Contrastive Learning. - Peng Wang 004; Xiaohang Chen; Ziyu Shang; Wenjun Ke 002 (IEICE Trans. Inf. Syst., 2023)

Discriminative Question Answering via Cascade Prompt Learning and Sentence Level Attention Mechanism. - Xiaoguang Yuan; Chaofan Dai; Zongkai Tian; Xinyu Fan; Yingyi Song; Zengwen Yu; Peng Wang 004; Wenjun Ke 002 (IEICE Trans. Inf. Syst., 2023)

Prompt-based event relation identification with Constrained Prefix ATTention mechanism. - Hang Zhang; Wenjun Ke 002; Jianwei Zhang; Zhizhao Luo; Hewen Ma; Zhen Luan; Peng Wang 004 (Knowl. Based Syst., 2023)

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

Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype. - Yanhe Liu; Peng Wang 004; Wenjun Ke 002; Guozheng Li; Xiye Chen; Jiteng Zhao; Ziyu Shang (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; Yanhui Li; Zhizhao Luo; Ke Ji (AAAI, 2024)

ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context. - Chenxiao Wu; Wenjun Ke 002; Peng Wang 004; Zhizhao Luo; Guozheng Li; Wanyi Chen (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; 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; 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; Ziyu Shang; Qiqing Luo (LREC/COLING, 2024)

CMNEE: A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News. - Mengna Zhu; Zijie Xu 003; Kaisheng Zeng; Kaiming Xiao; Mao Wang; Wenjun Ke 002; Hongbin Huang (LREC/COLING, 2024)

Boosting LLMS with Ontology-Aware Prompt for Ner Data Augmentation. - Zhizhao Luo; Youchen Wang; Wenjun Ke 002; Rui Qi; Yikai Guo; Peng Wang 004 (ICASSP, 2024)

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

Fast and Continual Knowledge Graph Embedding via Incremental LoRA. - Jiajun Liu; 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; Hailang Huang; Guozheng Li; Chenxiao Wu; Jianghan Liu; Xiye Chen; Yining Li (IJCAI, 2024)

Making LLMs as Fine-Grained Relation Extraction Data Augmentor. - Yifan Zheng; Wenjun Ke 002; Qi Liu 003; Yuting Yang; Ruizhuo Zhao; Dacheng Feng; Jianwei Zhang; Zhi Fang (IJCAI, 2024)

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

Unveiling factuality and injecting knowledge for LLMs via reinforcement learning and data proportion. - Wenjun Ke 002; Ziyu Shang; Zhizhao Luo; Peng Wang 004; Yikai Guo; Qi Liu 056; Yuxuan Chen (Sci. China Inf. Sci., 2024)

AdaptiveUKE: Towards adaptive unsupervised keyphrase extraction with gated topic modeling. - Qi Liu 056; Wenjun Ke 002; Xiaoguang Yuan; Yuting Yang; Hua Zhao; Peng Wang 004 (Expert Syst. Appl., 2024)

Agent-DA: Enhancing low-resource event extraction with collaborative multi-agent data augmentation. - Xuemeng Tian; Yikai Guo; Bin Ge 006; Xiaoguang Yuan; Hang Zhang; Yuting Yang; Wenjun Ke 002; Guozheng Li (Knowl. Based Syst., 2024)

MDM: Meta diffusion model for hard-constrained text generation. - Wenjun Ke 002; Yikai Guo; Qi Liu 056; Wanyi Chen; Peng Wang 004; Haoran Luo 001; Zhizhao Luo (Knowl. Based Syst., 2024)

On the Consistency of Commonsense in Large Language Models. - Guozheng Li; Peng Wang 004; Wenjun Ke 002; Zijie Xu 003; Jiajun Liu; 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; 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; Zijie Xu 003; Guozheng Li (ACL (1), 2025)

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

Incorporating LLM Versus LLM Into Multimodal Chain-of-Thought for Fine-Grained Evidence Generation. - Shuyuan Xing; Yao He; Hanchao Chen; Wenjun Ke 002 (IEEE Access, 2025)

Unlearning of Knowledge Graph Embedding via Preference Optimization. - Jiajun Liu; Wenjun Ke 002; Peng Wang 004; Yao He; Ziyu Shang; Guozheng Li; Zijie Xu 003; Ke Ji (CoRR, 2025)

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

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