Associate Professor, College of International Business, Zhejiang Yuexiu Univerisity , Shaoxing, 312069, China. Address: No.2801 Qunxian Middle Road, Yue Cheng District, Shaoxing, Zhejiang, China. Email: weiyu@zyufl.edu.cn The title of talent: 浙江省高校领军人才（青年）、绍兴“名士之乡”英才计划青年拔尖人才 [Google Scholar] [百度学术] "Stay Hungry, Stay Foolish."

Research Interests

• Complex Network Analysis
  

• Social Network Analysis
  

• Data Mining
  

Education

• 2015.09-2020.07: PHD Student with the College of Intelligence and Computing, Tianjin University, Tianjin, China.
  

• 2012.09-2015.07: Master Student with the College of Physics and Electronic Engineering, Henan Normal University, Xinxiang, China.
  

• 2008.09-2012.07: Bachelor Student with the College of Mathematics and Physics, Jinggangshan University, Ji`an, China.
  

Publications

2024

• TC-GCN: Triple cross-attention and graph convolutional network for traffic forecasting.
  Lei Wang, Deke Guo, Huaming Wu*, Keqiu Li, Wei Yu*.
  Information Fusion, 2024, 1: 102229.
  

• Link prediction in bipartite networks via effective integration of explicit and implicit relations.
  Xue Chen, Chaochao Liu, Xiaobo Li, Ying Sun, Wei Yu, Pengfei Jiao.
  Neurocomputing, 2024, 566, 127016.
  

• Research on human dynamics characteristics under large-scale stock data perturbation.
  Yi Luo, Xiaoming Li, Wei Yu*, Kun Huang, Yihe Yang, Yao Huang.
  The North American Journal of Economics and Finance 70, 102070.
  

2023

• VGCas: distinguishing the cascade structure and the global structure in popularity prediction.
  Wei Yu, Xue Chen, Xiaoming Li, Jun Wang, Ying Sun, Minghu Tang.
  Social Network Analysis and Mining, 2023, 14: 1-11.
  

• Neighborhood overlap-aware heterogeneous hypergraph neural network for link prediction.
  Yifan Lu, Mengzhou Gao, Huan Liu, Zehao Liu, Wei Yu, Xiaoming Li, Pengfei Jiao.
  Pattern Recognition, 2023.
  

• MRFS: Mining Rating Fraud Subgraph in Bipartite Graph for Users and Products.
  Wei Yu, Wenkai Wang, Guangquan Xu, Huaming Wu, Hongyan Li, Jun Wang, Xiaoming Li, Juan Liu.
  IEEE Transactions on Computational Social Systems, 2023, 1:1-10.
  

• Local node feature modeling for edge computing based on network embedding in dynamic networks.
  Xiaoming Li, Yi Luo, Neal Xiong, Wei Yu*, Guangquan Xu, Changzheng Liu, Xiaoping Yang.
  Journal of Parallel and Distributed Computing, 2023, 171:98-110.
  

2022

• STHGCN: A spatiotemporal prediction framework based on higher-order graph convolution networks.
  Jun Wang, Wenjun Wang*, Wei Yu*, Xueli Liu, Keyong Jia, Xiaoming Li, Min Zhong, Yueheng Sun, Yuqing Xu.
  Knowledge-Based Systems, 2022, 258：109985.
  

• Heterogeneous Information Network Representation Learning Incorporating Community Structure.
  Wei Yu, Guangquan Xu, Xiaoming Li, Xue Chen, Ying Sun, Ning Yuan.
  IEEE Access, vol. 10, pp. 51249-51260, 2022.
  

• ML-GAT: A Multilevel Graph Attention Model for Stock Prediction.
  Huang Kun, Xiaoming Li, Fangyuan Liu, Wei Yu*.
  IEEE Access, 2022, 10: 86408-86422.
  

• MSDA-NMF: A Multilayer Complex System Model Integrating Deep Autoencoder and NMF.
  Xiaoming Li, Wei Yu*, Guangquan Xu, Fangyuan Liu.
  Mathematics, 2022, 10(15): 2750.
  

• AAAN: Anomaly Alignment in Attributed Networks.
  YingSun, Wenjun Wang, Nannan Wu, Chaochao Liu, Siddharth Bhatia, Yang Yu, Wei Yu.
  Knowledge-Based Systems, 2022: 108944.
  

• Traffic prediction based on auto spatiotemporal Multi-graph Adversarial Neural Network.
  Jun Wang, Wenjun Wang, Xueli Liu, Wei Yu*, Xiaoming Li, Peiliang Sun.
  Physica A: Statistical Mechanics and its Applications, 2022, 590: 126736.
  

• Cold-Start Link Prediction via Weighted Symmetric Nonnegative Matrix Factorization with Graph Regularization.
  Minghu Tang, Wei Yu, Xiaoming Li, Xue Chen, Wenjun Wang, Zhen Liu.
  Comput. Syst. Sci. Eng. 43(3): 1069-1084 (2022)
  

• 基于符号网络社团检测的舆情情报分析方法研究.
  余韦，章金楠，朱梦丽，王佳桐，穆荣健.
  情报杂志，2022, 41(05).
  

2021

• Higher-Order Multiple-Feature-based Community Evolution Model with Potential Applications in Criminal Network Investigation.
  Xiaoming Li, Guangquan Xu*, Changzheng Liu*, Wei Yu, Zhao Liu, Zhenhuan Wu, and Xiaoping Yang.
  Future Generation Computer Systems, 2021, 125: 364-375.
  

• Modeling Community Evolution Characteristics of Dynamic Networks with Evolutionary Bayesian Nonnegative Matrix Factorization.
  Wei Yu, Xiaoming Li*, Huanming Wu, Xue Chen, Minghu Tang, Yang Yu and Wenjun Wang.
  Complexity 2021 (2021).
  

• 基于动态复杂网络分析方法的事件检测实证研究.
  余韦，朱梦丽， 李红岩， 余娜， 李晓明， 杨小平.
  情报杂志，2021,40(10).
  

2020

• Local Structure and High-Order Feature Preserved Network Embedding Based on Non-Negative Matrix Factorization.
  Qiang Tian, Lin Pan, Xuan Guo, Wei Yu, Xue Chen.
  IEEE Access, 2020, 8: 225967-225980.
  

• Anomaly Subgraph Detection with Feature Transfer.
  Ying Sun, Wenjun Wang, Nannan Wu*, Wei Yu, Xue Chen.
  Proceedings of the 29th ACM International Conference on Information & Knowledge Management. 2020: 1415-1424.
  

2019

• Boosting temporal community detection via modeling community evolution characteristics.
  Wei Yu, Wenjun Wang, Xue Chen, Huaming Wu, Xue Chen, Minghu Tang, Yang Yu.
  2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2019: 1291-1296.
  

• A Double Non-negative Matrix Factorization Model for Signed Network Analysis.
  Wei Yu, Rongjian Mu, Ying Sun, Xue Chen, Wenjun Wang, Huaming Wu.
  2019 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2019: 1291-1296.
  

• Multi-layer network community detection model based on attributes and social interaction intensity.
  Xiaoming Li, Guagquan Xu, Litao Jiao, Yinan Zhou, Wei Yu.
  Computers & Electrical Engineering, 2019, 77: 300-313.
  

• Modeling the local and global evolution pattern of community structures for dynamic networks analysis.
  Wei Yu, Wenjun Wang, Pengfei Jiao, Huaming Wu, Yueheng Sun*, Minghu Tang.
  IEEE Access, 2019, 7: 71350-71360.
  

• A novel evolutionary clustering via the first-order varying information for dynamic networks.
  Wei Yu, Pengfei Jiao*, Wenjun Wang, Yang Yu, Xue Chen, Lin Pan.
  Physica A: Statistical Mechanics and its Applications, 2019, 520: 507-520.
  

• Evolutionary clustering via graph regularized nonnegative matrix factorization for exploring temporal networks
  Wei Yu, Wenjun Wang, Pengfei Jiao*, Xuewei Li.
  Knowledge-Based Systems, 2019, 167: 1-10.
  

2018

• A framework of community detection based on individual labels in attribute networks
  Dongyang Nan, Wei Yu, Xiao Liu, Zhang Y, Weidi Dai.
  Physica A: Statistical Mechanics and its Applications 512, 523-536.
  

• Exploring temporal community structure and constant evolutionary pattern hiding in dynamic networks
  Pengfei Jiao, Wei Yu, Wenjun Wang, Xiaoming Li, Yueheng Sun.
  Neurocomputing, Volume 314, 2018, Pages 224-233.
  

• Highlighting link prediction in bipartite networks via structural perturbation.
  Xue Chen, Wenjun Wang, Wei Yu, Pengfei Jiao, Yueheng Sun.
  IEEE Access, 2018, 6: 73583-73592.
  

2017

• Kernel framework based on non-negative matrix factorization for networks reconstruction and link prediction.
  Wenjun Wang, Yiding Feng, Pengfei Jiao, Wei Yu.
  Knowledge-Based Systems, 2017, 137: 104-114.
  

• An efficient critical incident propagation model for social networks based on trust factor.
  XiaoMing Li, Limengzi Yuan, ChaoChao Liu, Wei Yu, Xue Chen, Guangquan Xu.
  International conference on collaborative computing: Networking, applications and worksharing. Springer, Cham, 2017: 416-424.
  

• Temporal community detection based on symmetric nonnegative matrix factorization.
  Pengfei Jiao, Haodong Lyu, Xiaoming Li, Wei Yu, Wenjun Wang.
  International Journal of Modern Physics B, 2017, 31(13): 1750102.
  

• Exploring intracity taxi mobility during the holidays for location-based marketing.
  Wen-jun Wang, Xiao-ming Li, Peng-fei Jiao, Guang-quan Xu, Ning Yuan, Wei Yu.
  Mobile Information Systems, 2017, 2017.
  

Research Projects

• 时序网络跨尺度耦合演化建模研究(62102262), 2022.01-2024.12，国家自然科学基金项目，主持。

• 面向事件检测的动态社区演化建模研究(D2020003), 2021.01-2022.12，浙江越秀外国语学院科研重点项目，主持。

• 大数据管理与应用实践条件和实践基地建设(202102281033), 2021.09-2022.08，教育部产学合作协同育人项目，主持。

• 面向大规模多层网络隐特征的局部社团发现方法研究(62272311), 2023.01-2026.12，国家自然科学基金面上项目，子课题负责人。

• 基于风险计算理论的城市智能风险预警云平台研发与应用(2022-QY-218), 2022.07-2025.07，青海省重点研发与转化计划项目，子课题负责人。

• 复杂关系数据建模与挖掘(23YXKYHX001), 2023.02-2024.02，横向经费33.33万元。

• 舆情大数据处理及融合方法研究(22YXKYHX035), 2022.04-2023.04，横向经费20万元。

• ExBlock 跨链合约设计与实现(21YXKYHX065), 2021.09-2022.09，横向经费26万元。

• 多粒度互联网产业链数 据协同治理关键技术研究与融合应用示范(2022C01083)，2022.01- 2024-12，浙江省重点研发计划项目，参与。

• 犯情动态演化和再犯风险预警研判技术研究(2018YFC0831000), 2018.07-2021.06，国家重点研发计划项目，参与。

• 人类时空行为的随机场深度学习建模分类与应急决策研究”(91746107)，2018.01-2020.12，国家自然科学基金培育计划，参与。

Patents

• 余韦，朱梦丽，陈娇，杨欣，章金楠，一种应用于交通大数据可视化分析展现平台，（ZL202122063421.7），2022-04-15，实用新型专利。
  

• 余韦，李红岩，章金楠，白婷羽，姚健，一种民用突发时间应急防卫用抓捕网装置（ZL202121952836.3），2022-02-11，实用新型专利。
  

• 王佳桐，余韦，吴继鄞，陈娇，杨欣，一种基于图像分析的智能检测装置（ZL202121772952.7），2022-01-11，实用新型专利。
  

• 孙培梁，林枫，王军，余韦，钟云伟，斯越薪，张志明，一种基于个体复杂关系的监管场所安全预警方法及装置（ZL202110496426.0），2021-09-14，发明专利。
  

• 李晓明，余韦，朱梦丽，李红岩，一种基于多层网络局部社团检测的高危人员群体识别方法（ZL202011094604.9 ）, 2021-01-29, 发明专利。

Major awards and honors

• 2023年浙江越秀外国语学院考研工作优秀指导教师;

• 2023年入选浙江越秀外国语学院第八届“最受学生（校友）爱戴好教师”荣誉称号;

• 2023年入选绍兴市名士之乡教育青年拔尖人才;

• 2022年入选浙江省高校领军人才培养计划青年优秀人才;

• 2022年获得绍兴市大学生创业创新大赛“优秀创业指导老师”称号;

• 2022年指导学生荣获“建行杯”第八届浙江国际“互联网+”大学生创新创业大赛银奖;

• 7.2023年指导学生荣获全国高校商业精英挑战赛创新创业竞赛三等奖;

• 2023年指导学生荣获全国大学生数据分析大赛二等奖。