yanzhongmin 山东大学主页平台管理系统--Home

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闫中敏

Associate Professor

Name (Simplified Chinese):闫中敏

Name (Pinyin):yanzhongmin

Date of Employment:2001-07-01

School/Department:软件学院

Gender:Female

Status:Employed

Whether on the job:1

Academic Honor:

Honors and Titles:

Current position: Home >> Scientific Research >> Paper Publications

[41] 刘磊. Performance Modeling of a General GPS Scheduling Under Long Range Dependent Traffic. 2020.
[42] 刘磊. Encrypted Network Traffic Classification: A data driven approach. 2020.
[43] 栾婷婷. Fraudster Detection Based on Modularity Optimization Algorithm. 422, 2019.
[44] 闫中敏. Recommender system：Attentive Neural Collaborative Filtering. IEEE Access , 2020.
[45] 余国先. Few-Shot Partial-Label Learning. 2021.
[46] Chris LIU , Cui Lizhen , Li Qingzhong , yanzhongmin and 刘磊. Promoting Higher Revenues for Both Crowdsourcer and Crowds in Crowdsourcing via Contest. 2019.
[47] zhengyongqing and yanzhongmin. Author Name Disambiguation Using Graph Node Embedding Method. 2019.
[48] zhengyongqing , lihui and yanzhongmin. Feature Assessment and Classification of Diabetes Employing Concept Lattice. 2019.
[49] Kong Lanju , yanzhongmin , zhangshidong and 孟令童. Process Framework Extracting and Process Recommendation Based on BPD Similarity Clustering. 2017.
[50] lihui , Cui Lizhen , hongxiaoguang and yanzhongmin. Predicting Clinical Visits Using RNNs and Demographic Information. 2018.
[51] yanzhongmin and 栾婷婷. Fraudster Detection Based on Label Propagation Algorithm. HPCC-2018, 2018.
[52] Cui Lizhen , yanzhongmin , Li Qingzhong , zhengyongqing and luxudong. Abnormal Group-Based Joint Medical Fraud Detection. IEEE Access , 7, 2019.
[53] yanzhongmin and Li Qingzhong. Fraud Detection of Medical Insurance Employing Outlier Analysis. 2018.
[54] yanzhongmin. An Ontology-Based Integration of Web Query Interfaces for House Search. The IEEE International Conference on Information and Automation,ICIA2008, 1, 190, 2008.
[55] Li Qingzhong , Kong Lanju and yanzhongmin. Research on multi-tenant data placement mechanism for SaaS application based on load optimization. 《Journal of Computational Information Systems》, 10, 9641, 2014.
[56] Li Qingzhong , Kong Lanju , yanzhongmin and lihui. Multi-tenant Data Authentication Model for SaaS. The Open Cybernetics & Systemics Journal, 2014, 322, 2015.
[57] Li Qingzhong and yanzhongmin. Web Reviews and Events Matching Based on Event Feature Segments and Semi-Markov Conditional Random . Journal of Software, 2014.
[58] Li Qingzhong and yanzhongmin. An Approach to Incremental Deep Web Crawling Based on Incremental Harvest Model. Procedia Engineering, 29, 1081, 2012.
[59] yanzhongmin and Li Qingzhong. A query interface judging approach based on ensemble learning. 《Journal of Computational Information Systems》, 8, 1265, 2012.
[60] dongguoqing , pengchaohui and yanzhongmin. A Framework for Incremental Deep Web Crawler Based on URL Classification. Part II, LNCS 6988（WISM 2011）Web Information Systems and Mining, Part II, LNCS 6988, 302, 2011.

total135 3/7

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