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數(shù)字引領(lǐng)時(shí)代　　智能開(kāi)創(chuàng)未來(lái)

劉慧（Hui Liu）

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

教育背景

博士（計(jì)算機(jī)科學(xué)與技術(shù)（計(jì)算語(yǔ)言學(xué)）），2009，上海交通大學(xué)
學(xué)士（計(jì)算機(jī)科學(xué)與技術(shù)），2003，上海交通大學(xué)

研究興趣

自然語(yǔ)言處理（語(yǔ)義計(jì)算、知識(shí)圖譜）

主講課程

計(jì)算機(jī)科學(xué)導(dǎo)論、C程序設(shè)計(jì)、Python程序設(shè)計(jì)、人工智能導(dǎo)論、操作系統(tǒng)、文本挖掘技術(shù)（研究生）

簡(jiǎn)介

劉慧，男，副教授，碩士生導(dǎo)師。2009年博士畢業(yè)于上海交通大學(xué)，同年進(jìn)入我校擔(dān)任講師，2012年晉升為副教授，2012年3月至2023年2月?lián)谓y(tǒng)計(jì)與數(shù)據(jù)科學(xué)學(xué)院（原商務(wù)信息學(xué)院）副院長(zhǎng)。曾獲上海市教學(xué)成果獎(jiǎng)一等獎(jiǎng)，上海對(duì)外經(jīng)貿(mào)大學(xué)優(yōu)秀共產(chǎn)黨員等獎(jiǎng)勵(lì)。主要研究領(lǐng)域?yàn)樽匀徽Z(yǔ)言處理，研究興趣為語(yǔ)義計(jì)算及知識(shí)圖譜構(gòu)建。主持完成教育部人文社會(huì)科學(xué)項(xiàng)目1項(xiàng)，在IEEE TSMCB (現(xiàn)名IEEE Trans. Cybern.)、IJCAI、ECAI、WSDM、SIGHAN、計(jì)算機(jī)研究與發(fā)展、中文信息學(xué)報(bào)等國(guó)內(nèi)外重要學(xué)術(shù)刊物和會(huì)議上發(fā)表論文40余篇。

 

部分發(fā)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(yǔ)義相關(guān)關(guān)系量化計(jì)算方法. 中文信息學(xué)報(bào), 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(lèi)的口語(yǔ)理解方法. 計(jì)算機(jī)研究與發(fā)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(xiàng)目

  1. 教育部人文社會(huì)科學(xué)研究青年項(xiàng)目，“網(wǎng)絡(luò)新出現(xiàn)命名實(shí)體的屬性結(jié)構(gòu)構(gòu)造研究”，2013-2016,主持。


獎(jiǎng)項(xiàng)情況

  1. 2011 上海對(duì)外貿(mào)易學(xué)院青年教師教學(xué)質(zhì)量獎(jiǎng)

  2. 2012 上海對(duì)外貿(mào)易學(xué)院雙語(yǔ)教師教學(xué)質(zhì)量獎(jiǎng)

  3. 2013 上海市教學(xué)成果一等獎(jiǎng)（排名7/8）

  4. 2017 上海對(duì)外經(jīng)貿(mào)大學(xué)文明崗

  5. 2020 上海對(duì)外經(jīng)貿(mào)大學(xué)教學(xué)成果特等獎(jiǎng)（排名2/8）

  6. 2021 上海對(duì)外經(jīng)貿(mào)大學(xué)優(yōu)秀共產(chǎn)黨員

  7. 2022 上海對(duì)外經(jīng)貿(mào)大學(xué)優(yōu)秀紀(jì)檢工作者

  8. 2010年度?？己擞浌?，2015、2018、2019、2020、2023年度?？己藘?yōu)秀