Wenjun Ke

56 papers A* 18A 1C 1Misc 3Journal 22Unranked 11
YearRankTypeTitle / Venue / Authors
2026 A* conf
Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts.
AAAI
Jiajun Liu, Yao He, Wenjun Ke, Peng Wang, Ziyu Shang, Guozheng Li, Zijie Xu
2026 A* conf
Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models.
AAAI
Zijie Xu, Wenjun Ke, Peng Wang, Guozheng Li, Qingjian Ni, Jiajun Liu, Ziyu Shang, Jing Zhou
2026 J jnl
ConsistEAE: Enhancing low-resource event argument extraction with linguistically consistent demonstrations.
Neurocomputing
Yikai Guo, Xuemeng Tian, Bin Ge, Yuting Yang, Yao He, Wenjun Ke, Junjie Hu, Yanyang Li, Haoran Luo
2026 J jnl
Large Language Models in Document Intelligence: A Comprehensive Survey, Recent Advances, Challenges, and Future Trends.
ACM Trans. Inf. Syst.
Wenjun Ke, Yifan Zheng, Yining Li, Hengyuan Xu, Dong Nie, Peng Wang, Yao He
2026 J jnl
LogicICL: Towards Instructive Logical-Aware Demonstrations for Stimulating LLMs Mathematical Reasoning Ability.
IEEE Trans. Emerg. Top. Comput. Intell.
Yao He, Jiajun Liu, Wantao Wen, Yikai Guo, Hanchao Chen, Yue Ma, Wenjun Ke, Peng Wang
2026 A* conf
Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation.
AAAI
Hengyuan Xu, Wenjun Ke, Yao He, Jiajun Liu, Dong Nie, Peng Wang, Ziyu Shang, Zijie Xu
2026 J jnl
Towards evidence-aware retrieval-augmented generation via self-corrective chain-of-thought.
Inf. Process. Manag.
Yining Li, Wenjun Ke, Jiajun Liu, Peng Wang, Jianghan Liu, Yao He
2026 A* conf
Unlearning of Knowledge Graph Embedding via Preference Optimization.
WWW
Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji
2025 — conf
Acquisition and Application of Novel Knowledge in Large Language Models.
ACL (1)
Ziyu Shang, Jianghan Liu, Zhizhao Luo, Peng Wang, Wenjun Ke, Jiajun Liu, Zijie Xu, Guozheng Li
2025 Misc conf
Exploring Meta Evidence for Prompt Optimization.
ICASSP
Yao He, Jiajun Liu, Wenjun Ke, Peng Wang, Congda Xiao, Yining Li
2025 J jnl
Incorporating LLM Versus LLM Into Multimodal Chain-of-Thought for Fine-Grained Evidence Generation.
IEEE Access
Shuyuan Xing, Yao He, Hanchao Chen, Wenjun Ke
2025 — conf
LLM-Guided Semantic-Aware Clustering for Topic Modeling.
ACL (1)
Jianghan Liu, Ziyu Shang, Wenjun Ke, Peng Wang, Zhizhao Luo, Jiajun Liu, Guozheng Li, Yining Li
2025 J jnl
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning.
IEEE Trans. Knowl. Data Eng.
Ziyu Shang, Peng Wang, Jianghan Liu, Jiajun Liu, Guozheng Li, Zijie Xu, Zhizhao Luo, Xiye Chen, Wenjun Ke
2025 — conf
On the Consistency of Commonsense in Large Language Models.
ACL (Findings)
Guozheng Li, Peng Wang, Wenjun Ke, Zijie Xu, Jiajun Liu, Ziyu Shang
2025 J jnl
Unlearning of Knowledge Graph Embedding via Preference Optimization.
CoRR
Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji
2024 J jnl
AdaptiveUKE: Towards adaptive unsupervised keyphrase extraction with gated topic modeling.
Expert Syst. Appl.
Qi Liu, Wenjun Ke, Xiaoguang Yuan, Yuting Yang, Hua Zhao, Peng Wang
2024 J jnl
Agent-DA: Enhancing low-resource event extraction with collaborative multi-agent data augmentation.
Knowl. Based Syst.
Xuemeng Tian, Yikai Guo, Bin Ge, Xiaoguang Yuan, Hang Zhang, Yuting Yang, Wenjun Ke, Guozheng Li
2024 — conf
Balanced Knowledge Distillation with Open-Domain Unlabeled Data for Named Entity Recognition.
ADMA (5)
Chenxiao Wu, Wenjie Ye, Jiajun Liu, Peng Wang, Wenjun Ke
2024 Misc conf
Boosting LLMS with Ontology-Aware Prompt for Ner Data Augmentation.
ICASSP
Zhizhao Luo, Youchen Wang, Wenjun Ke, Rui Qi, Yikai Guo, Peng Wang
2024 — conf
Boosting Textural NER with Synthetic Image and Instructive Alignment.
ACL (Findings)
Jiahao Wang, Wenjun Ke, Peng Wang, Hang Zhang, Dong Nie, Jiajun Liu, Guozheng Li, Ziyu Shang
2024 — conf
CMNEE: A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News.
LREC/COLING
Mengna Zhu, Zijie Xu, Kaisheng Zeng, Kaiming Xiao, Mao Wang, Wenjun Ke, Hongbin Huang
2024 J jnl
CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News.
CoRR
Mengna Zhu, Zijie Xu, Kaisheng Zeng, Kaiming Xiao, Mao Wang, Wenjun Ke, Hongbin Huang
2024 A* conf
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context.
AAAI
Chenxiao Wu, Wenjun Ke, Peng Wang, Zhizhao Luo, Guozheng Li, Wanyi Chen
2024 A* conf
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification.
IJCAI
Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang
2024 J jnl
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification.
CoRR
Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang
2024 A* conf
Fast and Continual Knowledge Graph Embedding via Incremental LoRA.
IJCAI
Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li
2024 J jnl
Fast and Continual Knowledge Graph Embedding via Incremental LoRA.
CoRR
Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li
2024 A* conf
Incorporating Schema-Aware Description into Document-Level Event Extraction.
IJCAI
Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu
2024 A* conf
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning.
IJCAI
Ziyu Shang, Peng Wang, Wenjun Ke, Jiajun Liu, Hailang Huang, Guozheng Li, Chenxiao Wu, Jianghan Liu, Xiye Chen, Yining Li
2024 J jnl
MDM: Meta diffusion model for hard-constrained text generation.
Knowl. Based Syst.
Wenjun Ke, Yikai Guo, Qi Liu, Wanyi Chen, Peng Wang, Haoran Luo, Zhizhao Luo
2024 A* conf
Making LLMs as Fine-Grained Relation Extraction Data Augmentor.
IJCAI
Yifan Zheng, Wenjun Ke, Qi Liu, Yuting Yang, Ruizhuo Zhao, Dacheng Feng, Jianwei Zhang, Zhi Fang
2024 A* conf
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning.
AAAI
Ziyu Shang, Wenjun Ke, Nana Xiu, Peng Wang, Jiajun Liu, Yanhui Li, Zhizhao Luo, Ke Ji
2024 A* conf
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction.
IJCAI
Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu
2024 J jnl
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction.
CoRR
Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu
2024 A* conf
Towards Continual Knowledge Graph Embedding via Incremental Distillation.
AAAI
Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu
2024 J jnl
Towards Continual Knowledge Graph Embedding via Incremental Distillation.
CoRR
Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu
2024 A* conf
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype.
AAAI
Yanhe Liu, Peng Wang, Wenjun Ke, Guozheng Li, Xiye Chen, Jiteng Zhao, Ziyu Shang
2024 — conf
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction.
LREC/COLING
Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo
2024 J jnl
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction.
CoRR
Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo
2024 A* conf
Unveiling LoRA Intrinsic Ranks via Salience Analysis.
NeurIPS
Wenjun Ke, Jiahao Wang, Peng Wang, Jiajun Liu, Dong Nie, Guozheng Li, Yining Li
2024 J jnl
Unveiling factuality and injecting knowledge for LLMs via reinforcement learning and data proportion.
Sci. China Inf. Sci.
Wenjun Ke, Ziyu Shang, Zhizhao Luo, Peng Wang, Yikai Guo, Qi Liu, Yuxuan Chen
2023 Misc conf
ASKRL: An Aligned-Spatial Knowledge Representation Learning Framework for Open-World Knowledge Graph.
ISWC
Ziyu Shang, Peng Wang, Yuzhang Liu, Jiajun Liu, Wenjun Ke
2023 J jnl
Discriminative Question Answering via Cascade Prompt Learning and Sentence Level Attention Mechanism.
IEICE Trans. Inf. Syst.
Xiaoguang Yuan, Chaofan Dai, Zongkai Tian, Xinyu Fan, Yingyi Song, Zengwen Yu, Peng Wang, Wenjun Ke
2023 J jnl
Multimodal Named Entity Recognition with Bottleneck Fusion and Contrastive Learning.
IEICE Trans. Inf. Syst.
Peng Wang, Xiaohang Chen, Ziyu Shang, Wenjun Ke
2023 A* conf
Online Noisy Continual Relation Learning.
AAAI
Guozheng Li, Peng Wang, Qiqing Luo, Yanhe Liu, Wenjun Ke
2023 J jnl
Prompt-based event relation identification with Constrained Prefix ATTention mechanism.
Knowl. Based Syst.
Hang Zhang, Wenjun Ke, Jianwei Zhang, Zhizhao Luo, Hewen Ma, Zhen Luan, Peng Wang
2023 — conf
Revisiting Large Language Models as Zero-shot Relation Extractors.
EMNLP (Findings)
Guozheng Li, Peng Wang, Wenjun Ke
2023 J jnl
Revisiting Large Language Models as Zero-shot Relation Extractors.
CoRR
Guozheng Li, Peng Wang, Wenjun Ke
2023 A* conf
Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer.
IJCAI
Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi
2023 A* conf
fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation.
AAAI
Peng Wang, Tong Shao, Ke Ji, Guozheng Li, Wenjun Ke
2022 A conf
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic.
WSDM
Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng
2022 — conf
Extracting RoIs for Robust Far-infrared Pedestrian Detection on Board.
ICIAI
Jianwei Zhang, Xiaoguang Yuan, Zhewei Xu, Wenjun Ke
2021 — conf
A Quantitative Evaluation Method of Software Usability Based on Improved GOMS Model.
QRS Companion
Kunlong Wang, Kanjing Li, Jinhua Gao, Bing Liu, Zhi Fang, Wenjun Ke
2021 J jnl
Incorporating explicit syntactic dependency for aspect level sentiment classification.
Neurocomputing
Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng
2021 — conf
Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction.
PAKDD (2)
Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng
2020 C conf
Interpretable Test Case Recommendation based on Knowledge Graph.
QRS
Wenjun Ke, Chao Wu, Xiufeng Fu, Chen Gao, Yinyi Song