叶施仁

叶施仁

博士、副教授

常州大学

计算机与人工智能学院  阿里云大数据学院  软件学院

江苏常州 213164

 E-MAIL:yes@cczu.edu.cn

教育背景:

1988.09-1992.07  湘潭大学 机械系 化工机械专业 工学学士

2004.09-2007.06  湘潭大学 计算机系 计算机专业 理学硕士

2012.09-2016.06  中科院计算所 计算机专业 工学博士

工作履历:

1992.9. - 1998.6.   湘潭大学

1999.1. - 2004.12.  湖南工业大学 讲师，高级工程师

2001.7. - 2003.7.  新加坡国立大学 博士后

2003.8. - 2005.2.  新加坡Buildfolio公司高级工程师

2005.3. - 2009.12. 美国ClearlyUnderstood公司新加坡研发中心 主任

2010.1. - 2015.12  常州真知信息技术公司 CTO

2012.1. – 至今   常州大学教师

主授课程:

软件测试 数据挖掘 高级数据库技术 Science Writing

研究领域:

数据挖掘 自然语言处理 深度学习

奖励与荣誉:

学术成果:

Ø 教材论著

Ø 发表论文

[1] Ye, Shiren, Qi Meng, Shuo Zhang, and Hui Wang. Multi-Scale Feature Fusion Network Model for Wireless Capsule Endoscopic Intestinal Lesion Detection. Computers, Materials & Continua 82(2), 2025.

[2] Ye, Shiren, Shuo Zhang, Qi Meng, Hui Wang, and Jiaqun Zhu. Disease Detection Module for SBCE Images Using Modified YOLOv8. In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 5175-5182. IEEE, 2024.

[3] 叶施仁,丁力, Ali MD  Rinku. 细粒度情感和情绪分析中损失函数的设计与优化[J] 中文信息学报，2024,28(1):124-134

[4] Shiren, Ye, Jiangnan Ye, Xinhua Ye, and Xinye Ni. Interpretable prediction model for assessing diabetes complication risks in Chinese sufferers [J]. Diabetes Research and Clinical Practice (2024): 111560.

[5] Gulzar Hussain Md, and Ye Shiren. Identifying Alzheimer Disease Dementia Levels Using Machine Learning Methods[J].  Medical Research Archives 2023(11). DOI: 10.18103/mra.v11i7.1.4039.

[6] Deep, Shekh Minhaz Uddin, Md Mosharof Hosen, Mohimatun Nisa, Md Gulzar Hussain, and Ye Shiren. E-Voting System Improvised by Blockchain Technology: A Case Study[C]. In 2023 International Conference on Digital Applications, Transformation & Economy (ICDATE), pp. 1-5. IEEE, 2023.

[7] Hussain M G, Shiren Ye. Recognition of covid-19 disease utilizing x-ray imaging of the chest using CNN[C]//2021 International Conference on Computing, Electronics & Communications Engineering (iCCECE). IEEE, 2021: 71-76.

[8] 周锦峰,叶施仁,王晖. 基于深度卷积神经网络模型的文本情感分类[J]. 计算机工程,2019,45(3):300-308. DOI:10.19678/j.issn.1000-3428.0050043.

[9] 周锦峰,叶施仁,王晖. 基于fcmpCNN模型的网络文本情感多分类标注[J]. 计算机应用研究,2018,35(12):3551-3555. DOI:10.3969/j.issn.1001-3695.2018.12.007.

[10] 周锦峰,叶施仁,王晖. 卷积神经网络在短文本情感多分类标注应用[J]. 计算机工程与应用,2018,54(22):133-138,149. DOI:10.3778/j.issn.1002-8331.1801-0163.

[11] 叶施仁,叶仁明,朱明峰. 基于网络关系的微博水军集团发现方法[J]. 计算机工程与应用,2017,53(6):96-100. DOI:10.3778/j.issn.1002-8331.1508-0118.

[12] 朱明峰,叶施仁,叶仁明. 基于Lex-PageRank的微博摘要优化方法[J]. 计算机科学,2016,43(9):261-265. DOI:10.11896/j.issn.1002-137X.2016.9.052.

[13] 叶施仁,杨英,杨长春,等. 孤立点预处理和 Single-Pass 聚类结合的微博话题检测方法[J]. 计算机应用研究,2016,33(8):2294-2297. DOI:10.3969/j.issn.1001-3695.2016.08.012.

[14] Shiren Ye, Shuige Yan, Changchun Yang, Kefei Yu, Hong Ding, Jing Yang. Research on Micro-Blog Search and Sorting Algorithm Based on Improved PageRank, in International Conference on Information Engineering and Applications(IEA), pp103-106,  Springer-Verlag London, 2013

[15] Shiren Ye; Ding-an Liao; Ye Zhou. Transaction Dialogs Based on Short Messages Understanding  Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on, 2011/10/8-2011/10/9, pp 117-120, 2011.

[16] Shiren Ye, Tat-Seng Chua, Jie Lu. Summarizing Definition from Wikipedia [C], Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the AFNLP (ACL), 2009, 199-207

[17] Shiren Ye, Tat-Seng Chua, Min-Yen Kan, Long Qiu. Document concept lattice for text understanding and summarization [J], Information Processing and Management(IPM), 2007, 43(6):1643-1662, DOI: 10.1016/j.ipm.2007.03.010

[18] Shiren Ye, Tat-Seng Chua. Automatically Integrating Heterogeneous Ontologies from Structured Web Pages[J], International Journal on Semantic Web and Information Systems, 2007, 3(2):99-114

[19] Shiren Ye, Tat-Seng Chua. Learning object models from semi-structured Web documents[J].  IEEE Transactions on Knowledge and Data Engineering(TKDE). 2006, 18(3):334- 349

[20] Shiren Ye, Tat-Seng Chua. NUS at DUC 2006: Document Concept Lattice for Summarization[C]. Document understanding conference, 2006.

[21] Shiren Ye, Long Qiu, Tat-Seng Chua, Min-Yen Kan. NUS at DUC 2005: Understanding documents via concept links [C]. Document understanding conference, 2005.

[22] Shiren Ye, Tat-Seng Chua, Jeremy Kei. Clustering web pages about persons and organizations [J], Web Intelligence and Agent Systems an International Journal, 2005, 3(4):203-216

[23] Shiren Ye, Tat-Seng Chua. Detecting and Partitioning Data Objects in Complex Web Pages [C]. IEEE/WIC/ACM International Conference on Web Intelligence, 2004. DOI: 10.1109/WI.2004.10155

[24] Shiren Ye, Tat-Seng Chua, Learning Object Model from Product Web Pages, workshop Semantic Web of SIGIR-04, Sheffield, pp69-80, 2004.

[25] Shiren Ye, Tat-Seng Chua, Jeremy R. Kei, Querying and Clustering Web Pages about Persons and Organizations, IEEE/WIC Int’l Conf. on Web Intelligence (WI 2003), Canada, 2003

[26] Shiren Ye, Tat-Seng Chua. Jimin Liu, Jeremy Kei. Grouping Web Pages about Persons and Organizations for Information Extraction [C]. 5th International Conference on Asian Digital Libraries, ICADL 2002 11-14

[27] Shiren Ye, Tat-Seng Chua. Jimin Liu, An Agent-based Approach to Chinese Named Entity Recognition[C], Proceedings of the 19th international conference on Computational linguistics (COLING), 2002, DOI: 10.3115/1072228.1072308

[28] 叶施仁,史忠植. 基于CBR的中心渔场预报[J]. 高技术通讯,2001,11(5):64-68. DOI:10.3321/j.issn:1002-0470.2001.05.016.

[29] 叶施仁,游湘涛,史忠植,等. 高维数据中有效的相似性计算方法[J]. 计算机研究与发展,2000,37(10):1166-1172.

Ø 专利成果

[1] 基于改进YOLOv5的太阳能电池板缺陷方法及系统:CN202311341178.8[P].

[2] 一种改进DETR模型的太阳能板缺陷检测方法及系统:CN202311778822.8[P].

[3] 一种改进DETR模型的太阳能板缺陷检测方法及系统[发明专利] CN202311778822.8[P]

[4] 一种基于抽检机制的供应链流通产品追溯方法[发明专利] 常州大学:CN202310231582.3[P]

[5] 一种重要产品高效追溯方法[发明专利] 常州大学:CN202210691273.X[P]

[6] 一种智能Web表单自动填充方法及系统[发明专利]常州大学.:CN201110107333.0[P]

研究项目:

[1] 国家自然科学基金面上项目，61272367，主持

[2] 江苏省科技厅产学研合作项目，BY2015027-12，第二

[3] 江苏省科技厅产学研合作项目，BY20140202-70，主持

[4] 江苏省科技厅国际合作项目，BZ2010021，主持