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段俊文，博士，现为中南大学计算机学院副教授、硕士生导师。博士毕业于哈尔滨工业大学计算机学院社会计算与信息检索研究中心，博士期间曾赴美国伊利诺伊大学香槟分校（UIUC）联合培养，导师ACM Fellow 翟成祥教授。主要研究内容为大语言模型，自然语言处理、医学人工智能等。在国际知名期刊和会议TASLP/AAAI/IJCAI/EMNLP/COLING/NAACL等发表论文30余篇，同时担任ACL，AAAI, IJCAI, EMNLP等领域顶级会议和期刊审稿人，社会媒体处理专委会常委/秘书。

【研究方向】围绕自然语言处理展开，具体包括：医学人工智能、多模态、大语言模型应用等。

【硕士招生】每年招收3名左右硕士研究生，目前还有少量名额，欢迎对自然语言处理、大语言模型感兴趣的同学与我联系（邮箱：jwduan@csu.edu.cn）。指导的研究生曾获得国家奖学金、比亚迪特别奖学金。

【本科生科研训练】欢迎对自然语言处理感兴趣的优秀本科生加入课题组。

论文发表（详见 Google Scholar主页）

（* 表示通讯作者）

1. Liao, Xincheng and Duan, Junwen* and Huang, Yixi and Wang, Jianxin. `RUIE: Retrieval-based Unified Information Extraction using Large Language Model'. Proceedings of the 31st International Conference on Computational Linguistics. 2025: 9640–9655. （COLING 2025, CCF B类会议）

2. Jia, Mingyi and Duan, Junwen* and Song, Yan and Wang, Jianxin. `medIKAL: Integrating knowledge graphs as assistants of LLMs for enhanced clinical diagnosis on EMRs'. Proceedings of the 31st International Conference on Computational Linguistics. 2025: 9278–9298. （COLING 2025 CCF B类会议）

3. Junwen Duan, Huai Guo, Han Jiang, Fei Guo, Jianxin Wang. `Boundary-aware Dual Biaffine Model for Sequential Sentence Classification in Biomedical Documents'. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024, 21(5): 1202-1210. （IEEE/ACM Transactions, CCF B类期刊)

4. Junwen Duan, Shuyue Liu, Xincheng Liao, Feng Gong, Hailin Yue, and Jianxin Wang. `Chinese EMR Named Entity Recognition Using Fused Label Relations Based on MRC Framework'.  IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024, 21(5): 1143-1153. （IEEE/ACM Transactions, CCF B类期刊)

5. Jiang, Han and Duan, Junwen* and Qu, Zhe and Wang, Jianxin. `Mare: Multi-aspect rationale extractor on unsupervised rationale extraction'. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 2024: 11734–11745. （EMNLP 2024, CCF B类会议）

6. Yan, Quan and Duan, Junwen* and Wang, Jianxin. `Multi-modal Concept Alignment Pre-training for Generative Medical Visual Question Answering'. Findings of the Association for Computational Linguistics ACL 2024. 2024: 5378-5389. （CCF A类会议ACL 2024的Findings）

7. Junwen Duan, Fangyuan Wei, Hongdong Li, Tianming Liu, Jianxin Wang and Jin Liu. `CDA: A Contrastive Data Augmentation Method for Alzheimer's Disease Detection'. Findings of the Association for Computational Linguistics: ACL 2023. 2023: 1819-1826. （CCF A类会议ACL 2023的Findings）

8. Duan, Junwen and Liao, Xincheng and An, Ying and Wang, Jianxin. `KeyEE: enhancing low-resource generative event extraction with auxiliary keyword sub-prompt'. Big Data Mining and Analytics, 2024, 7(2): 547-560. （中科院一区期刊，IF=13.6）

9. Yan, Quan and Duan, Junwen* and Wang, Jianxin. `KEXNet: A Knowledge-Enhanced Model for Improved Chest X-Ray Lesion Detection'. Big Data Mining and Analytics, 2024, 7(4): 1187-1198. （中科院一区期刊，IF=13.6）

10. Duan, Junwen, Han Jiang, and Ying Yu. `MHLAT: Multi-Hop Label-Wise Attention Model for Automatic ICD Coding'. In ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1–5. IEEE, 2023. （CCF B类会议）

11. Duan, Junwen, Huai Guo, Min Zeng, and Jianxin Wang. `ASNet: An Adversarial Sparse Network for Multi-Task Biomedical Named Entity Recognition'. In 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 416–21. IEEE, 2022. （CCF B类会议）

12. Wu, Xuehong#, Junwen Duan#, Yi Pan, and Min Li. `Medical Knowledge Graph: Data Sources, Construction, Reasoning, and Applications'. Big Data Mining and Analytics, 2024, 6(2): 201–17. （中科院一区期刊，IF=13.6）

13. Duan, Junwen and Jia, Mingyi and Liao, Jianbo and Wang, Jianxin. `HyperMatch: long-form text matching via hypergraph convolutional networks'. Knowledge and Information Systems, 2024, 66(11): 6597-6616. （CCF B类期刊)

14. Duan, Junwen and Wei, Fangyuan and Li, HongDong and Liu, Jin. `Pre-trained Feature Fusion and Matching for Mild Cognitive Impairment Detection'. Interspeech 2024, 2024: 962-966. (CCF C类会议)

15. Li, Fangfang and Jiang, Jie and Tang, Dafu and Shan, Youran and Duan, Junwen* and Zhang, Shichao. `Efficient word segmentation for enhancing Chinese spelling check in pre-trained language model'. Knowledge and Information Systems, 2025, 67(1): 603-632. （CCF B类期刊)

16. Yu, Ying, Junwen Duan*, Han Jiang, and Jianxin Wang. `Automatic ICD Coding Based on Multi-Granularity Feature Fusion'. In Bioinformatics Research and Applications: 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14--17, 2022, Proceedings, 19–29. Springer Nature Switzerland Cham, 2023. (CCF C类会议)

17. Dou, Mingliang, Jiaqi Ding, Genlang Chen, Junwen Duan*, Fei Guo*, and Jijun Tang*. `IK-DDI: A Novel Framework Based on Instance Position Embedding and Key External Text for DDI Extraction'. Briefings in Bioinformatics, 2023, bbad099. （CCF B类期刊， IF=9.5)

18. Yu, Ying, Junwen Duan*, and Min Li. `Fusion Model for Tentative Diagnosis Inference Based on Clinical Narratives'. Tsinghua Science and Technology, 2024, 28(4): 686–95. （JCR Q1期刊）

19. Wu, Xuehong, Junwen Duan*, Jianhua Li, and Min Li*. `nPTAS: A Novel Platform for Text Annotation and Service'. In 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 544–49. IEEE, 2021. （CCF B类会议）

2020年以前发表的论文

[1] Junwen Duan, Xiao Ding, Yue Zhang* and Ting Liu*. TEND： A Representation Learning Framework for News Documents. IEEE/ACM Transactins on Audio, Language and Speech, 2019. (CCF B 类期刊， JCR 一区)

[2] Junwen Duan, Xiao Ding, and Ting Liu*. A Guassian Copula Regression Model for Movie Box-office Revenues Prediction. Science China Information Science, 2016. (CCF B 类期刊)

[3] Junwen Duan, Yiheng Chen, Xiao Ding, and Ting Liu. Mining Intention-related Products on online QA Community, Journal of Computer Science and Technology, 2015. (CCF B 类期刊)

[4] Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu. Learning Targetspecific Representations of Financial News Documents for Cumulative Abnormal Return Prediction. Coling 2018. (CCF B 类会议)

[5] Junwen Duan, Xiao Ding, and Ting Liu. Learning Sentence Representations over Tree-structures for Target-Dependent Classification, NAACL 2018, pages 551-560. (CCF C 类会议)

[6] Junwen Duan, Xiao Ding, and Ting Liu. “A Gaussian Copula Regression Model for Movie Box-office Revenue Prediction with Social Media.” , In Social Media Processing, pages 28-37, Springer Singapore, 2015. （EI 检索）

[7] Junwen Duan, Xiao Ding, and Ting Liu. “Mining intention-related products on online q&a community.” , In Social Media Processing, pages 13-24. Springer, 2014 [Best Paper Honorable Mention] (EI 检索)

[8] Xiao Ding, Ting Liu, Junwen Duan, and Jian-Yun Nie. “Mining user consumption intention from social media using domain adaptive convolutional neural network., In Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence, pages 2389–2395. AAAI Press, 2015. （CCF A 类会议）

[9] Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li and Junwen Duan. Event Representation Learning Enhanced with External Commonsense Knowledge[C]//EMNLPIJCNLP. 2019. (CCF B 类会议)

[10] Xiao Ding, Yue Zhang, Ting Liu, and Junwen Duan. Knowledge-driven event embedding for stock prediction[C]//Proceedings of COLING 2016. (CCF B 类会议)

[11] Xiao Ding, Yue Zhang, Ting Liu, and Junwen Duan. “Deep learning for event driven stock prediction.” , In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, pages 2327-2333. AAAI Press, 2015. （CCF A 类会议）

[12] Xiao Ding, Yue Zhang, Ting Liu, and Junwen Duan. “Using structured events to predict stock price movement: An empirical investigation.” , In Proceedings of EMNLP 2014, pages 1415-1425. （CCF B 类会议）