柯文俊，34歲，博士，碩士研究生導師，紫金青年學者，小米青年學者。研究方向為人工智能、自然語言處理、大模型技術、知識圖譜、軟件測試。柯文俊于2023年加入bet356手机版唯一官网KGCode實驗室（實驗室負責人為汪鵬教授）。先後主持7項國家級科研項目，并參與4項國家級科研項目。先後獲得各級榮譽7項，任中國仿真學會會刊、CCF-T2中文核心期刊《系統仿真學報》青年編委，CCF-T3中文核心期刊《計算機工程與設計》編委。在WSDM、NeurIPS、ACL、IJCAI、AAAI、ISWC、KBS、EMNLP、Neurocomputing、中文信息學報等重要國内外重要期刊和會議發表論文40餘篇，申請發明專利10餘項，獲授權專利6項。作為研究生導師，指導/協助指導博士/碩士研究生10餘名，其中3人獲得國家獎學金，1人獲得博士新生獎學金，2人獲得全國研究生數學建模比賽二等獎，2人獲得全國研究生數學建模比賽三等獎。同時，擔任本科人工智能專業主幹課《自然語言處理》的主講教師，以理論教學與實踐操作相結合的方式開展綜合性教學。

2025年秋季入學的考研碩士生還有名額（可以在計算機學院、軟件學院、人工智能學院招生，專業包括：計算機科學與技術、軟件工程、智能科學與技術、電子信息），歡迎對自然語言處理（NLP）、大語言模型（LLMs）、知識圖譜（Knowledge Graph）感興趣的同學與我聯系（kewenjun@seu.edu.cn），将與汪鵬教授共同指導。

論文（Selected）

1. Y. He, J. Liu, W. Ke. Exploring Meta Evidence for Prompt Optimization. ICASSP 2024 (CCF-B)

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

3. 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)

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

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

6. 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)

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

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

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

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

11. Q. Liu, W. Ke, X. Yuan, et al. AdaptiveUKE: Towards Adaptive Unsupervised Keyphrase Extraction with Gated Topic Modeling. ESWA 2024（SCI JCR 一區）

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

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

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

15. 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)

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

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

18. 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 一區)

19. 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)

20. 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 一區)

21. 黃偲偲,柯文俊,張杭,方志,餘增文,汪鵬,王清理.融合知識傳播和提示學習機制的推薦模型.中文信息學報 2023. (CCF-A中文期刊)

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

23. 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)

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

25. 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)

26. 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 四區)

27. 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 四區)

28. 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)

29. 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 二區)

30. 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 三區)

31. W. Ke, J. Gao, H. Shen and X. Cheng. Incorporating explicit syntactic dependency for aspect level sentiment classification. Neurocomputing 2021. (SCI JCR 一區)

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

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

34. 柯文俊,高金華,沈華偉,劉悅,程學旗.基于改進Apriori算法的問題模闆無監督抽取方法.中文信息學報 2020. (CCF-A中文期刊)

專利（Selected）

1.尚子渝,汪鵬,柯文俊.一種基于多粒度層次和動态嵌入的知識圖譜補全方法,2023.（已授權）

   2. 柯文俊,王坤龍,楊雨婷,陳旭,陳靜. 一種無監督的軟件複雜度評估方法,2023.(已授權)

   3. 吳超,宋穎毅,柯文俊,陳旭,陳靜,王坤龍,楊雨婷. 一種無監督的文本相似度計算方法. 2023.(已授權)

   4. 柯文俊,劉悅悅,江山,李雅斯,王坤龍. 一種基于機器學習的軟件缺陷确認方法. 2022.(已授權)

   5. 陳靜,柯文俊,郭少帥,徐少帥,徐賽賽,關斯琪,王泊涵,侯敏,馮大成. 基于閉包算法的同步語言航天C代碼自動生成方法. 2022.(已授權)

   6. 楊波,劉偉,陶金龍,柯文俊,池浩,李敏,劉博,李偉. 一種适用于大系統的通訊協議快速并行測試方法. 2021.(已授權)

   7. 楊雨婷,柯文俊,達一菲,侯敏,陳靜,王泊涵,王坤龍. 基于AADL擴展附件的軟件系統堆棧分析方法. 2020.(已授權)

   8. 柯文俊,陳靜,陳旭,楊雨婷,王坤龍. 一種國産辦公環境下基于反饋機制的并發測試方法. 2020.(已受理)

   9. 柯文俊,陳旭,陳靜,王坤龍,楊雨婷. 一種國産環境下辦公軟硬件測試方法. 2020.(已受理)

   10. 吳超,陳靜,柯文俊,付修鋒,李旭,楊雨婷,王坤龍,陳旭. 軟件評測規範的Simulink模型設計方法[P].2020.(已受理)

   11. 吳超,柯文俊,張在進,高晨,楊雨婷,王坤龍. 基于機器學習的軟件缺陷與複雜度關聯關系分析方法. 2020.(已受理)

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