(0)

基本信息

  • 性别:
  • 聘任技术职务:高级实验师
  • 学历:研究生教育
  • 联系电话:
  • 电子邮箱:limeizi@shnu.edu.cn
  • 通讯地址:
  • 部门:信息与机电工程学院
  • 学位:工学博士学位
  • 毕业院校:同济大学
  • 办公地址:

研究方向:

现任上海师范大学信息与机电工程学院,副高级硕士生导师

2021年1月毕业于同济大学计算机应用技术专业,获工学博士学位近年来,从事社交网络分析、大数据分析与挖掘、人工智能教育等相关方向的研究工作。主持国家自然科学基金1项(青年基金),参与多项国家级、省部级研究课题。在国内外学术期刊上发表SCI/EI期刊论文20余篇,其中第一或通信作者11篇。

主持的项目:

  • [1]李美子.国家自然科学基金(青年科学基金项目):基于信任结构平衡的社交网络用户群组演化计算与分析关键技术研究,主持在研.

近年来主要论文成果(*为通信作者)

2023年

[1] Meizi Li, Xinyi Zhang, Maozhen Li, Yunwen Chen, Yanhong Bai,Bo Zhang*,Ru Yang*Modeling Group Opinion Evolution On Online Social Networks: A Gravitational Field Perspective, IEEE Transactions on Computational Social Systems, 2023,(SCI, CCF-C)

[2] Bo ZhangYifei Mi, Lele Zhang, Yuping Zhang, Maozhen Li, Qianqian Zhai, Meizi Li*, Dynamic Community Detection Method of a Social Network Based on Node Embedding Representation, Mathematics 2022, 10, 4738. (SCI)

[3] Li Meizi., Li, X., Zhang, Y., Pan, J., & Yang, R. (2023). Implementation of a Social Network Information Dissemination Model Incorporating Negative Relationships. COMPUTING AND INFORMATICS41(6), 1510–1540.

2022年

[1] Zhang Bo, Hu Yue, Xu Duo, Li Maozhen, Li Meizi*SKG-Learning: A Deep Learning Model for Sentiment Knowledge Graph Construction in Social Networks. Neural Computing and Applications, 2022,  (SCI Accepted)

2021年

[1] Li Meizi, Lu Shuyi, Zhang Lele, Zhang Bo*. A Community Detection Method for Social Network Based on Community Embedding, IEEE Transactions on Computational Social Systems 2021, 8(2): 308-318 (SCI)

[2] 李美子,米一菲,张倩,张波*.社交网络中基于K核分解的意见领袖识别算法,计算机应用,2021,(录用)

2020年

[1] Bo ZhangYa Zhang, Yanhong Bai, Jie Lian*, Meizi Li*A Multi-Dimensional Recommendation Scheme in Social Networks Considering a User Relationship Strength Perspective, Computing and Informatics, 2020, vol. 39. No.1 (SCI)

[2].Bo ZhangYanhong Bai, Qian Zhang, Jie Lian, Meizi Li*An Opinion-leader Mining Method in Social Networks with a Phased-clustering Perspective, IEEE ACCESS, 2020, VOL.8, 31539-31550 SCI, IF:4.098)

[3] Zhang BoWang Haowen , Jiang Longquan, Yuan Shuhan and Li Meizi *A Novel Bidirectional LSTM and Attention Mechanism based Neural Network for Answer Selection in Community Question Answering, Computers, Materials & Continua, 2020, 62(3), 1273–1288 (SCI, IF: 3.024)

2019及以前

[1] Bo Zhang*, Duo Xu , Huan Zhang , and Meizi Li*. STCS Lexicon: Spectral-clustering-based Topic-specific Chinese Sentiment Lexicon Construction for Social Networks, IEEE Transactions on Computational Social Systems, 2019, 6(6): 1180-1189 (SCI Journal)

[2].Li Meizi, Xiang Yang, Zhang Qian, Zhang Bo*. A Community Related Influence Evaluation Model for Social Networks with a Dynamic Perspective, Mathematical Problems in Engineering, 2018 (SCI, IF: 1.145)

[3].Zhang Bo, Zhang Huan, Li Meizi*, Zhao Qin, Huang Jifeng. Trust Traversal: A Trust Link Detection Scheme in Social Network, Computer Networks, Volume 120, 19 June 2017, Pages 105–125 (SCI, IF: 2.522, CCF-B)

[4].Li Meizi, Xiang Yang, Zhang Bo*, Wei Fazhuan, Song Qianqian. A Novel Organizing Scheme of Single Topic User Group based on Trust Chain Model in Social Network, International Journal of Communication Systems. 2017. (SCI, IF: 1.717)

[5].Zhang Bo; Yong Ruihan; Li Meizi*, Pan Jianguo, Huang Jifeng. A Hybrid Trust Evaluation Framework for E-commerce in Online Social Network: A Factor Enrichment Perspective, IEEE Access, 2017,Volume 5: 7080 - 7096 (SCI, IF: 3.557)

[6].Meizi Li, Yang Xiang,Bo Zhang*, and Zhenhua Huang. A Sentiment Delivering Estimate Scheme based on Trust Chain in Mobile social network, Mobile Information Systems, 2015(4):1-20 (SCI, IF: 0.958)

[7].Meizi Li, Yang Xiang,Bo Zhang*. A trust evaluation scheme for complex links in a social network: a link strength perspective. Applied Intelligence 44.4(2016):969-987. (SCI, IF: 1.983, CCF-C)


(以下信息源于科研管理系统)

学术成果:
专利成果
  • [1] 张波,张欢,李美子,雍睿涵,黄继风. 一种基于信誉累积的多标准协作欺诈检测方法. 中国专利:申请状态(申请号:201610718249.5).
  • [2] 张波,张倩,李美子,潘建国,赵勤. 一种基于聚类的社交网络意见领袖挖掘方法. 中国专利:ZL201710729792.X,2020-10-16.
  • [3] 张波,雍睿涵,李美子. 基于CNN和LSTM融合神经网络的空气PM2.5浓度预测方法. 中国专利:申请状态(申请号:201711203233.1).
  • [4] 张波,张倩,李美子. 一种基于K-核分解获取社交网络意见领袖的方法. 中国专利:申请状态(申请号:201711276884.3).
  • [5] 张波,邹国建,李美子,倪琴. 空气污染物浓度时空域关联预测方法. 中国专利:ZL01811411040.X,2021-08-03.
  • [6] 张波,张旱文,李美子,赵勤,秦东明. 基于AutoEncoder和BILSTM融合神经网络的空气PM2.5浓度预测方法. 中国专利:申请状态(申请号:201811411059.4).

教学工作:
教职工课程信息
开课学年开课学期课程名称
2022-20231网络工程实践

荣誉奖励:

·主要获奖:

[1]企业大数据近似计算与精准服务关键技术及应用,上海市科技进步二等奖2018年,第九完成人。


[2].大规模异质数据采集、管理与智能分析关键技术及应用,教育部科技进步二等奖2015年,第十完成人。


社会兼职: