柯文俊，34岁，博士，硕士研究生导师，紫金青年学者，小米青年学者。研究方向为人工智能、自然语言处理、大模型技术、知识图谱、软件测试。柯文俊于2023年加入东南大学KGCode实验室（实验室负责人为汪鹏教授）。先后主持7项国家级科研项目，并参与4项国家级科研项目。先后获得GF科技进步二等奖等各级荣誉7项，任中国仿真学会会刊、CCF-T2中文核心期刊《系统仿真学报》青年编委，CCF-T3中文核心期刊《计算机工程与设计》编委。在WSDM、NeurIPS、ACL、IJCAI、AAAI、ISWC、KBS、EMNLP、Neurocomputing、中文信息学报等重要国内外重要期刊和会议发表论文30余篇，申请发明专利10余项，获授权专利6项。作为研究生导师，指导/协助指导博士/硕士研究生10余名，其中3人获得国家奖学金，1人获得博士新生奖学金，2人获得全国研究生数学建模比赛二等奖，2人获得全国研究生数学建模比赛三等奖。同时，担任本科人工智能专业主干课《自然语言处理》的主讲教师，以理论教学与实践操作相结合的方式开展综合性教学。2025年硕士生保送推免还有名额（可以在计算机学院、软件学院、人工智能学院招生，专业包括：计算机科学与技术、软件工程、智能科学与技术、电子信息），欢迎对自然语言处理（NLP）、大语言模型（LLMs）、知识图谱（Knowledge Graph）感兴趣的同学与我联系（kewenjun@seu.edu.cn），将与汪鹏教授共同指导。

论文（Selected）

1. W. Ke, J. Wang, P. Wang. Unveiling LoRA Intrinsic Ranks via Salience Analysis. NeurIPS 2024 (CCF-A)

2. W. Ke, Z. Shang, Z. Luo, et al. Unveiling Factuality and Injecting Knowledge for LLMs via Reinforcement Learning and Data Proportion. SCIENCE CHINA Information Sciences 2024 (CCF-A)

3. J. Wang, W. Ke, P. Wang, et al. InstructNER: Boosting Textural NER with Synthetic Image and Instructive Alignment. ACL 2024 (CCF-A)

4. Y. Zheng, W. Ke, Q. Liu, et al. Making LLMs as Fine-Grained Relation Extraction Data Augmentor. IJCAI 2024 (CCF-A)

5. K. Ji, P. Wang, W. Ke, et al. Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification. IJCAI 2024 (CCF-A)

6. G. Li, P. Wang, W. Ke, et al. Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction. IJCAI 2024 (CCF-A)

7. Z. Xu, P. Wang, W. Ke, et al. Incorporating Schema-Aware Description into Document-Level Event Extraction. IJCAI 2024 (CCF-A)

8. J. Liu, W. Ke, P. Wang, et al. Fast and Continual Knowledge Graph Embedding via Incremental LoRA.  IJCAI 2024 (CCF-A)

9. Z. Shang, P. Wang, W. Ke, et al. Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning.  IJCAI 2024 (CCF-A)

10. Q. Liu, W. Ke, X. Yuan, et al. AdaptiveUKE: Towards Adaptive Unsupervised Keyphrase Extraction with Gated Topic Modeling. ESWA 2024（SCI JCR 一区）

11. G. Li, W. Ke, P. Wang, et al. Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction. COLING 2024（CCF-B）

12. Z. Luo, Y. Wang, W. Ke, et al. BOOSTING LLMS WITH ONTOLOGY-AWARE PROMPT FOR NER DATA AUGMENTATION. ICASSP 2024. (CCF-B)

13. Z. Shang, W. Ke, P. Wang, et al. OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning. AAAI 2024.(CCF-A)

14. C. Wu, W. Ke, P. Wang, et al.ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context. AAAI 2024.(CCF-A)

15. J. Liu, W. Ke, P. Wang, et al. Towards Continual Knowledge Graph Embedding via Incremental Distillation. AAAI 2024. (CCF-A)

16. Y. Liu, P. Wang, W. Ke, et al.Unify Named Entity Recognition Scenarios via Contrastive Real-time Updating Prototype. AAAI 2024. (CCF-A)

17. W. Ke,Y. Guo,Q. Liu,W. Chen,P. Wang,H. Luo,Z. Luo. MDM: Meta Diffusion Model for Hard-constrained Text Generation. KBS 2023. (SCI JCR 一区)

18. W. Ke, Z. Tian, Q. Liu, P. Wang, J. Gao, R. Qi. Towards Incremental NER Data Augmentation via Syntactic-aware Insertion Transformer. IJCAI 2023. (CCF-A)

19. H. Zhang, W. Ke, J. Zhang, Z. Luo, H. Ma, Z. Luan, P. Wang. Prompt-based Event Relation Identification with Constrained Prefix ATTention Mechanism. KBS 2023. (SCI JCR 一区)

20. 黄偲偲,柯文俊,张杭,方志,余增文,汪鹏,王清理.融合知识传播和提示学习机制的推荐模型.中文信息学报 2023. (CCF-A中文期刊)

21.G. Li, P. Wang, W. Ke. Revisiting Large Language Models as Zero-shot Relation Extractors. EMNLP Findings 2023. (CCF-B)

22. P. Wang, T. Shao, K. Ji, G. Li, W. Ke. fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation. AAAI 2023. (CCF-A)

23. G. Li, P. Wang, Q. Luo, Y. Liu, W. Ke. Online Noisy Continual Relation Learning. AAAI 2023. (CCF-A)

24. Z. Shang, P. Wang, Y. Liu, J. Liu and W. Ke. ASKRL: An Aligned-Spatial Knowledge Representation Learning Framework for Open-world Knowledge Graph. ISWC 2023. (CCF-B)

25. P. Wang, X. Chen, Z. Shang, W. Ke. Multimodal Named Entity Recognition with Bottleneck Fusion and Contrastive Learning. IEICE Trans. Inf. Syst. 2023. (SCI JCR 四区)

26. X. Yuan, C. Dai, Z. Tian, X. Fan, Y. Song, Z. Yu, P. Wang, W. Ke. Discriminative Question Answering via Cascade Prompt Learning and Sentence Level Attention Mechanism. IEICE Trans. Inf. Syst. 2023. (SCI JCR 四区)

27. W. Ke, J. Gao, H. Shen and X. Cheng. ConsistSum: Unsupervised Opinion Summarization with the Consistency of Aspect, Sentiment and Semantic. WSDM 2022. (CCF-B)

28. B. Wang, R. Qi, J. Gao, J. Zhang, X. Yuan and W. Ke. Mining the Frequent Patterns of Named Entities for Long Document Classification. Applied Sciences 2022. (SCI JCR 二区)

29. P. Wang, S. Zou, J. Liu, W. Ke. Matching biomedical ontologies with GCN-based feature propagation[J]. Mathematical Biosciences and Engineering, 2022, 19(8): 8479-8504.  (SCI JCR 三区)

30. W. Ke, J. Gao, H. Shen and X. Cheng. Incorporating explicit syntactic dependency for aspect level sentiment classification. Neurocomputing 2021. (SCI JCR 一区)

31. W. Ke, J. Gao, H. Shen and X. Cheng. Semantic-Syntax Cascade Injection Model for Aspect Sentiment Triple Extraction.PAKDD 2021. (CCF-C)

32. W. Ke, C. Wu, X. Fu, C. Gao and Y. Song. Interpretable test case recommendation based on knowledge graph. QRS 2020. (CCF-C)

33. 柯文俊,高金华,沈华伟,刘悦,程学旗.基于改进Apriori算法的问题模板无监督抽取方法.中文信息学报 2020. (CCF-A中文期刊)

专利（Selected）

1.尚子渝,汪鹏,柯文俊.一种基于多粒度层次和动态嵌入的知识图谱补全方法,2023.（已授权）

2. 柯文俊,王坤龙,杨雨婷,陈旭,陈静. 一种无监督的软件复杂度评估方法,2023.(已授权)

3. 吴超,宋颖毅,柯文俊,陈旭,陈静,王坤龙,杨雨婷. 一种无监督的文本相似度计算方法. 2023.(已授权)

4. 柯文俊,刘悦悦,江山,李雅斯,王坤龙. 一种基于机器学习的软件缺陷确认方法. 2022.(已授权)

5. 陈静,柯文俊,郭少帅,徐少帅,徐赛赛,关斯琪,王泊涵,侯敏,冯大成. 基于闭包算法的同步语言航天C代码自动生成方法. 2022.(已授权)

6. 杨波,刘伟,陶金龙,柯文俊,池浩,李敏,刘博,李伟. 一种适用于大系统的通讯协议快速并行测试方法. 2021.(已授权)

7. 杨雨婷,柯文俊,达一菲,侯敏,陈静,王泊涵,王坤龙. 基于AADL扩展附件的软件系统堆栈分析方法. 2020.(已授权)

8. 柯文俊,陈静,陈旭,杨雨婷,王坤龙. 一种国产办公环境下基于反馈机制的并发测试方法. 2020.(已受理)

9. 柯文俊,陈旭,陈静,王坤龙,杨雨婷. 一种国产环境下办公软硬件测试方法. 2020.(已受理)

10. 吴超,陈静,柯文俊,付修锋,李旭,杨雨婷,王坤龙,陈旭. 软件评测规范的Simulink模型设计方法[P].2020.(已受理)

11. 吴超,柯文俊,张在进,高晨,杨雨婷,王坤龙. 基于机器学习的软件缺陷与复杂度关联关系分析方法. 2020.(已受理)

竞赛获奖