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數字引領時代  智能開創未來

劉慧(Hui Liu)

副教授電話:67703849
 電子郵件:liuh(at)suibe.edu.cn

教育背景

博士(計算機科學與技術(計算語言學)),2009,上海交通大學
學士(計算機科學與技術),2003,上海交通大學

研究興趣

自然語言處理(語義計算、知識圖譜)

主講課程

計算機科學導論、C程序設計、Python程序設計、人工智能導論、操作系統、文本挖掘技術(研究生)

簡介

劉慧,男,副教授,碩士生導師。2009年博士畢業于上海交通大學,同年進入我校擔任講師,2012年晉升為副教授,2012年3月至2023年2月擔任統計與信息學院(原商務信息學院)副院長。曾獲上海市教學成果獎一等獎,上海對外經貿大學優秀共產黨員等獎勵。主要研究領域為自然語言處理,研究興趣為語義計算及知識圖譜構建。主持完成教育部人文社會科學項目1項,在IEEE TSMCB (現名IEEE Trans. Cybern.)、IJCAI、ECAI、WSDM、SIGHAN、計算機研究與發展、中文信息學報等國內外重要學術刊物和會議上發表論文40余篇。

 

部分發表論文

  1. Nijia Mo, Jianxiang Zang, Zhan Wang and Hui Liu* (2025). DDualSE: Decoupled Dual-head Squeeze and Excitation Attention for Sequential Recommendation, WSDM 2025 (Accepted)

  2. Yifang Qiang, Gaojie Sun and Hui Liu* (2024). PatentALL: Multi-label Patent Classification using Adaptive Label Learning. In Proceedings of 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI), Herndon, VA, USA, pp. 108-115.

  3. Chengcheng Hao, Hui Liu*, Wenping Shi, Shaoyun Zhang (2024). Biterm Tensor Topic Model for Short Reviews in Recommender System. In Proceedings of 2024 IEEE 36th International Conference on Tools with Artificial Intelligence (ICTAI), Herndon, VA, USA, pp.152-158.

  4. Zang, J., & Liu, H*. (2024). Modeling Selective Feature Attention for Lightweight Text Matching. In Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, ?CAI-24 (pp. 6624–6632). International Joint Conferences on Artificial Intelligence Organization.

  5. J. Zang and H. Liu*(2024). Explanation based Bias Decoupling Regularization for Natural Language Inference. In Proceedings of 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan.

  6. Zang, J., & Liu, H. (2023). Improving Text Semantic Similarity Modeling Through a 3D Siamese Network. In ECAI 2023 (pp. 2970-2977). IOS Press.

  7. Zang, J., & Liu, H. (2023). How to Extract and Interact? Nested Siamese Text Matching with Interaction and Extraction. In International Conference on Artificial Neural Networks (pp. 523-535). Cham: Springer Nature Switzerland.

  8. Liu, L., Wu, X., Liu, H., Cao, X., Wang, H., Zhou, H., & Xie, Q. (2020). A semi-supervised approach for extracting TCM clinical terms based on feature words. BMC Medical Informatics and Decision Making, 20(3), 1-7.

  9. Hui Liu and Jianyong Duan(2017). Geometric Analysis of Concept Vectors based on Similarity Values. Lingua Sinica, December 2017, 3:12,https://doi.org/10.1186/s40655-017-0029-0

  10. Hui Liu and Jianyong Duan (2016). An Analysis of the Relation between Similarity Positions and Attributes of Concepts by Distance Geometry, in the Proceedings of the 17th Chinese Lexical Semantics Workshop (CLSW2016), Singapore, 432-441 (Best Paper Award)

  11. Hui Liu (2016). An Analysis of the Relatedness between Similarity Models for Words, ICIC Express Letters, 10(5), 1071-1078.

  12. Hui Liu and Jianyong Duan (2015). Attribute Construction for Online Products by Similarity Computing. ICIC Express Letters, 9(1):99-106, 2015

  13. Hui Liu and Yuquan Chen (2011). Semantic similarity between complex named entities: An approach using multiple web resources. ICIC Express Letters, 5(1):71 – 76, 2011.

  14. Wu, W. L., Lu, R. Z., Duan, J. Y., Liu, H., Gao, F., & Chen, Y. Q. (2010). Spoken language understanding using weakly supervised learning. Computer speech & language, 24(2), 358-382.

  15. Hui Liu, Jinglei Zhao and Ruzhan Lu (2009), Toward the formal verification of a unification system, IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 39(4), 2009.

  16. 鐘茂生, 劉慧, & 劉磊. (2009). 詞匯間語義相關關系量化計算方法. 中文信息學報, 23(2), 115-122.

  17. Hui Liu and Ruzhan Lu (2008). Word Similarities based on an Ensemble Model Using Ranking SVMs, in Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT 2008), Vol. 3 (Workshops) , Sydney, Australia, 2008

  18. Liu, H., Zhao, J., & Lu, R. (2008). Computing semantic similarities based on machine-readable dictionaries. In IEEE International Workshop on Semantic Computing and Systems (pp. 8-14). IEEE.

  19. 吳尉林, 陸汝占, 段建勇, 劉慧, 高峰, & 陳玉泉. (2008). 基于兩階段分類的口語理解方法. 計算機研究與發展, 45(5), 861-868.

  20. Jiang, F., Liu, H., Chen, Y., & Lu, R. (2004). An enhanced model for Chinese word segmentation and part-of-speech tagging. In Proceedings of the Third SIGHAN Workshop on Chinese Language Processing (pp. 28-32).

  21. Huang, L., Peng, Y., Wu, Z., Yuan, Z., Wang, H., & Liu, H. (2003). Pseudo Context-Sensitive Models for Parsing Isolating Languages: Classical Chinese—A Case Study. In Computational Linguistics and Intelligent Text Processing: 4th International Conference, CICLing 2003 Mexico City, Mexico, February 16–22, 2003 Proceedings 4 (pp. 48-51). Springer Berlin Heidelberg.


科研項目

  1. 教育部人文社會科學研究青年項目,“網絡新出現命名實體的屬性結構構造研究”,2013-2016,主持。


獎項情況

  1. 2011 上海對外貿易學院青年教師教學質量獎

  2. 2012 上海對外貿易學院雙語教師教學質量獎

  3. 2013 上海市教學成果一等獎(排名7/8)

  4. 2017 上海對外經貿大學文明崗

  5. 2020 上海對外經貿大學教學成果特等獎(排名2/8)

  6. 2021 上海對外經貿大學優秀共產黨員

  7. 2022 上海對外經貿大學優秀紀檢工作者

  8. 2010年度校考核記功,2015、2018、2019、2020、2023年度校考核優秀


 

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