Wenjun Ke

Orcid: 0000-0001-7352-1710

Affiliations:
  • Southeast University, College of Software Engineering, School of Computer Science and Engineering, Nanjing, China
  • Chinese Academy of Sciences (CAS), Institute of Computing Technology, China (PhD 2021)


According to our database1, Wenjun Ke authored at least 37 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2026
Towards evidence-aware retrieval-augmented generation via self-corrective chain-of-thought.
Inf. Process. Manag., 2026

2025
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning.
IEEE Trans. Knowl. Data Eng., September, 2025

Unlearning of Knowledge Graph Embedding via Preference Optimization.
CoRR, July, 2025

Incorporating LLM Versus LLM Into Multimodal Chain-of-Thought for Fine-Grained Evidence Generation.
IEEE Access, 2025

Exploring Meta Evidence for Prompt Optimization.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Acquisition and Application of Novel Knowledge in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLM-Guided Semantic-Aware Clustering for Topic Modeling.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

On the Consistency of Commonsense in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
MDM: Meta diffusion model for hard-constrained text generation.
Knowl. Based Syst., January, 2024

AdaptiveUKE: Towards adaptive unsupervised keyphrase extraction with gated topic modeling.
Expert Syst. Appl., 2024

Unveiling factuality and injecting knowledge for LLMs via reinforcement learning and data proportion.
Sci. China Inf. Sci., 2024

Unveiling LoRA Intrinsic Ranks via Salience Analysis.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Fast and Continual Knowledge Graph Embedding via Incremental LoRA.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Incorporating Schema-Aware Description into Document-Level Event Extraction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Boosting LLMS with Ontology-Aware Prompt for Ner Data Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2024

CMNEE: A Large-Scale Document-Level Event Extraction Dataset Based on Open-Source Chinese Military News.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Balanced Knowledge Distillation with Open-Domain Unlabeled Data for Named Entity Recognition.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

Boosting Textural NER with Synthetic Image and Instructive Alignment.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Continual Knowledge Graph Embedding via Incremental Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Prompt-based event relation identification with Constrained Prefix ATTention mechanism.
Knowl. Based Syst., December, 2023

Discriminative Question Answering via Cascade Prompt Learning and Sentence Level Attention Mechanism.
IEICE Trans. Inf. Syst., September, 2023

Multimodal Named Entity Recognition with Bottleneck Fusion and Contrastive Learning.
IEICE Trans. Inf. Syst., April, 2023

ASKRL: An Aligned-Spatial Knowledge Representation Learning Framework for Open-World Knowledge Graph.
Proceedings of the Semantic Web - ISWC 2023, 2023

Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Revisiting Large Language Models as Zero-shot Relation Extractors.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Online Noisy Continual Relation Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
Incorporating explicit syntactic dependency for aspect level sentiment classification.
Neurocomputing, 2021

Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021


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