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ORCIDWenjun Ke 0002
Person information
- affiliation: Southeast University, College of Software Engineering, School of Computer Science and Engineering, Nanjing, China
- affiliation (PhD 2021): Chinese Academy of Sciences (CAS), Institute of Computing Technology, China
Other persons with the same name
- Wenjun Ke 0001
![[0000-0003-4938-4570]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4938-4570")
— Tianjin University, College of Intelligence and Computing, China (and 1 more) - Wenjun Ke 0003 — China Academy of Aerospace Systems Science and Engineering, Beijing, China
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2020 – today
- 2026
[j11]Yining Li, Wenjun Ke, Jiajun Liu, Peng Wang, Jianghan Liu, Yao He:
Towards evidence-aware retrieval-augmented generation via self-corrective chain-of-thought. Inf. Process. Manag. 63(2): 104369 (2026)- 2025
- [j10]Shuyuan Xing, Yao He, Hanchao Chen, Wenjun Ke:
Incorporating LLM Versus LLM Into Multimodal Chain-of-Thought for Fine-Grained Evidence Generation. IEEE Access 13: 202143-202170 (2025) - [j9]Ziyu Shang, Peng Wang, Jianghan Liu, Jiajun Liu, Guozheng Li, Zijie Xu, Zhizhao Luo, Xiye Chen, Wenjun Ke:
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning. IEEE Trans. Knowl. Data Eng. 37(9): 5360-5377 (2025) - [c30]Guozheng Li, Peng Wang, Wenjun Ke, Zijie Xu, Jiajun Liu, Ziyu Shang:
On the Consistency of Commonsense in Large Language Models. ACL (Findings) 2025: 16205-16225 - [c29]Ziyu Shang, Jianghan Liu, Zhizhao Luo, Peng Wang, Wenjun Ke, Jiajun Liu, Zijie Xu, Guozheng Li:
Acquisition and Application of Novel Knowledge in Large Language Models. ACL (1) 2025: 18348-18368 - [c28]Jianghan Liu, Ziyu Shang, Wenjun Ke, Peng Wang, Zhizhao Luo, Jiajun Liu, Guozheng Li, Yining Li:
LLM-Guided Semantic-Aware Clustering for Topic Modeling. ACL (1) 2025: 18420-18435 - [c27]Yao He, Jiajun Liu, Wenjun Ke, Peng Wang, Congda Xiao, Yining Li:
Exploring Meta Evidence for Prompt Optimization. ICASSP 2025: 1-5 - [i8]Jiajun Liu, Wenjun Ke, Peng Wang, Yao He, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji:
Unlearning of Knowledge Graph Embedding via Preference Optimization. CoRR abs/2507.20566 (2025) - 2024
- [j8]Wenjun Ke, Ziyu Shang, Zhizhao Luo, Peng Wang, Yikai Guo, Qi Liu, Yuxuan Chen:
Unveiling factuality and injecting knowledge for LLMs via reinforcement learning and data proportion. Sci. China Inf. Sci. 67(10) (2024) - [j7]Qi Liu, Wenjun Ke, Xiaoguang Yuan, Yuting Yang, Hua Zhao, Peng Wang:
AdaptiveUKE: Towards adaptive unsupervised keyphrase extraction with gated topic modeling. Expert Syst. Appl. 250: 123926 (2024) - [j6]Wenjun Ke, Yikai Guo, Qi Liu, Wanyi Chen, Peng Wang, Haoran Luo, Zhizhao Luo:
MDM: Meta diffusion model for hard-constrained text generation. Knowl. Based Syst. 283: 111147 (2024) - [j5]Xuemeng Tian, Yikai Guo, Bin Ge, Xiaoguang Yuan, Hang Zhang, Yuting Yang, Wenjun Ke, Guozheng Li:
Agent-DA: Enhancing low-resource event extraction with collaborative multi-agent data augmentation. Knowl. Based Syst. 305: 112625 (2024) - [c26]Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu:
Towards Continual Knowledge Graph Embedding via Incremental Distillation. AAAI 2024: 8759-8768 - [c25]Yanhe Liu, Peng Wang, Wenjun Ke, Guozheng Li, Xiye Chen, Jiteng Zhao, Ziyu Shang:
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype. AAAI 2024: 14035-14043 - [c24]Ziyu Shang, Wenjun Ke, Nana Xiu, Peng Wang, Jiajun Liu, Yanhui Li, Zhizhao Luo, Ke Ji:
OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning. AAAI 2024: 18934-18943 - [c23]Chenxiao Wu, Wenjun Ke, Peng Wang, Zhizhao Luo, Guozheng Li, Wanyi Chen:
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context. AAAI 2024: 19234-19242 - [c22]Jiahao Wang, Wenjun Ke, Peng Wang, Hang Zhang, Dong Nie, Jiajun Liu, Guozheng Li, Ziyu Shang:
Boosting Textural NER with Synthetic Image and Instructive Alignment. ACL (Findings) 2024: 1277-1287 - [c21]Chenxiao Wu, Wenjie Ye, Jiajun Liu, Peng Wang, Wenjun Ke:
Balanced Knowledge Distillation with Open-Domain Unlabeled Data for Named Entity Recognition. ADMA (5) 2024: 155-169 - [c20]Mengna Zhu, Zijie Xu, Kaisheng Zeng, Kaiming Xiao, Mao Wang, Wenjun Ke, Hongbin Huang:
CMNEE: A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News. LREC/COLING 2024: 3367-3379 - [c19]Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo:
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction. LREC/COLING 2024: 17131-17143 - [c18]Zhizhao Luo, Youchen Wang, Wenjun Ke, Rui Qi, Yikai Guo, Peng Wang:
Boosting LLMS with Ontology-Aware Prompt for Ner Data Augmentation. ICASSP 2024: 12361-12365 - [c17]Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li:
Fast and Continual Knowledge Graph Embedding via Incremental LoRA. IJCAI 2024: 2198-2206 - [c16]Ziyu Shang, Peng Wang, Wenjun Ke, Jiajun Liu, Hailang Huang, Guozheng Li, Chenxiao Wu, Jianghan Liu, Xiye Chen, Yining Li:
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning. IJCAI 2024: 2333-2341 - [c15]Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang:
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification. IJCAI 2024: 6315-6323 - [c14]Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu:
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction. IJCAI 2024: 6368-6376 - [c13]Zijie Xu, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Ke Ji, Xiye Chen, Chenxiao Wu:
Incorporating Schema-Aware Description into Document-Level Event Extraction. IJCAI 2024: 6597-6605 - [c12]Yifan Zheng, Wenjun Ke, Qi Liu, Yuting Yang, Ruizhuo Zhao, Dacheng Feng, Jianwei Zhang, Zhi Fang:
Making LLMs as Fine-Grained Relation Extraction Data Augmentor. IJCAI 2024: 6660-6668 - [c11]Wenjun Ke, Jiahao Wang, Peng Wang, Jiajun Liu, Dong Nie, Guozheng Li, Yining Li:
Unveiling LoRA Intrinsic Ranks via Salience Analysis. NeurIPS 2024 - [i7]Guozheng Li, Wenjun Ke, Peng Wang, Zijie Xu, Ke Ji, Jiajun Liu, Ziyu Shang, Qiqing Luo:
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction. CoRR abs/2402.13741 (2024) - [i6]Mengna Zhu, Zijie Xu, Kaisheng Zeng, Kaiming Xiao, Mao Wang, Wenjun Ke, Hongbin Huang:
CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News. CoRR abs/2404.12242 (2024) - [i5]Guozheng Li, Peng Wang, Wenjun Ke, Yikai Guo, Ke Ji, Ziyu Shang, Jiajun Liu, Zijie Xu:
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction. CoRR abs/2404.17809 (2024) - [i4]Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao, Guozheng Li, Ke Ji, Yanhe Liu:
Towards Continual Knowledge Graph Embedding via Incremental Distillation. CoRR abs/2405.04453 (2024) - [i3]Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao, Ziyu Shang, Guozheng Li, Zijie Xu, Ke Ji, Yining Li:
Fast and Continual Knowledge Graph Embedding via Incremental LoRA. CoRR abs/2407.05705 (2024) - [i2]Ke Ji, Peng Wang, Wenjun Ke, Guozheng Li, Jiajun Liu, Jingsheng Gao, Ziyu Shang:
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification. CoRR abs/2407.08959 (2024) - 2023
- [j4]Peng Wang, Xiaohang Chen, Ziyu Shang, Wenjun Ke:
Multimodal Named Entity Recognition with Bottleneck Fusion and Contrastive Learning. IEICE Trans. Inf. Syst. 106(4): 545-555 (2023) - [j3]Xiaoguang Yuan, Chaofan Dai, Zongkai Tian, Xinyu Fan, Yingyi Song, Zengwen Yu, Peng Wang, Wenjun Ke:
Discriminative Question Answering via Cascade Prompt Learning and Sentence Level Attention Mechanism. IEICE Trans. Inf. Syst. 106(9): 1584-1599 (2023) - [j2]Hang Zhang, Wenjun Ke, Jianwei Zhang, Zhizhao Luo, Hewen Ma, Zhen Luan, Peng Wang:
Prompt-based event relation identification with Constrained Prefix ATTention mechanism. Knowl. Based Syst. 281: 111072 (2023) - [c10]Guozheng Li, Peng Wang, Qiqing Luo, Yanhe Liu, Wenjun Ke:
Online Noisy Continual Relation Learning. AAAI 2023: 13059-13066 - [c9]Peng Wang, Tong Shao, Ke Ji, Guozheng Li, Wenjun Ke:
fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation. AAAI 2023: 13700-13708 - [c8]Guozheng Li, Peng Wang, Wenjun Ke:
Revisiting Large Language Models as Zero-shot Relation Extractors. EMNLP (Findings) 2023: 6877-6892 - [c7]Wenjun Ke, Zongkai Tian, Qi Liu, Peng Wang, Jinhua Gao, Rui Qi:
Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer. IJCAI 2023: 5104-5112 - [c6]Ziyu Shang, Peng Wang, Yuzhang Liu, Jiajun Liu, Wenjun Ke:
ASKRL: An Aligned-Spatial Knowledge Representation Learning Framework for Open-World Knowledge Graph. ISWC 2023: 101-120 - [i1]Guozheng Li, Peng Wang, Wenjun Ke:
Revisiting Large Language Models as Zero-shot Relation Extractors. CoRR abs/2310.05028 (2023) - 2022
- [c5]Jianwei Zhang, Xiaoguang Yuan, Zhewei Xu, Wenjun Ke:
Extracting RoIs for Robust Far-infrared Pedestrian Detection on Board. ICIAI 2022: 131-136 - [c4]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. WSDM 2022: 467-475 - 2021
- [j1]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Incorporating explicit syntactic dependency for aspect level sentiment classification. Neurocomputing 456: 394-406 (2021) - [c3]Wenjun Ke, Jinhua Gao, Huawei Shen, Xueqi Cheng:
Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction. PAKDD (2) 2021: 743-755 - [c2]Kunlong Wang, Kanjing Li, Jinhua Gao, Bing Liu, Zhi Fang, Wenjun Ke:
A Quantitative Evaluation Method of Software Usability Based on Improved GOMS Model. QRS Companion 2021: 691-697 - 2020
- [c1]Wenjun Ke, Chao Wu, Xiufeng Fu, Chen Gao, Yinyi Song:
Interpretable Test Case Recommendation based on Knowledge Graph. QRS 2020: 489-496
Coauthor Index
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