基本信息
职位：副教授
E-mail：zhouwei@cqu.edu.cn
研究方向：信息检索，推荐系统
个人简介
周魏，男，博士，副教授，硕士生导师、博士生导师。作为项目负责人，主持多项科研课题，包括国家自然科学面上项目、青年项目各1项。主要研究兴趣包括内容推荐系统、社交网络用户行为分析、机器学习和数据挖掘等。近年来在国际会议和期刊上发表SCI/EI检索论文20余篇。招收计算机科学与技术、软件工程、自动化等方向的硕士、博士研究生，如果对我的研究感兴趣，请发邮件到zhouwei@cqu.edu.cn。
承担的相关科研项目
[1] 国家自然科学基金面上项目，基于跨平台数据融合的突发公共事件异常内容检测研究. 2021/01-2024/12，在研，主持。
[2] 国家自然科学基金青年基金，基于用户生成信息分析和异常群组发现的推荐系统托攻击检测研究. 2017/01-2019/12，已结题，主持。
[3] 深圳市基础研究自由探索项目，基于迁移学习和用户信任度的推荐系统垃圾信息检测研究. 2018.11-2020/10，在研，主持。
论文列表
[1]Wei Zhou, Junhao Wen, Qingyu Xiong, Min Gao, Jun Zeng. SVM-TIA a shilling attack detection method based on SVM and target item analysis in recommender systems[J].Neurocomputing, 2016, 210(197-205). （中科院2区，CCF推荐期刊）
[2] Min Yang, Qingnan Jiang, Ying Shen, Qingyao Wu, Zhou Zhao,Wei Zhou*. Hierarchical human-like strategy for aspect-level sentiment classification with sentiment linguistic knowledge and reinforcement learning [J].Neural networks, 2019, 117(240-8).（中科院1区，CCF B类，通讯作者）
[3]Wei Zhou, KOH Y S, WEN J, et al. Detection of abnormal profiles on group attacks in recommender systems; proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval,SIGIR 2014, Gold Coast, QLD.（short，CCF A类）
[4]Wei Zhou, P.Y.Mok, Yanghong Zhou, Yangping Zhou, Jialie Shen, Qiang Qu, K.P.Chau. Fashion recommendations through cross-media information retrieval [J].Journal of Visual Communication and Image Representation, 2019, 61(112-120). （CCF 推荐）
[5] Tian Cheng, Junhao Wen, Qingyu Xiong, Jun Zeng,Wei Zhou*, Xueyuan Cai. Personalized Web Service Recommendation Based on QoS Prediction and Hierarchical Tensor Decomposition [J]. IEEE Access, 2019, 7(62221-30).（中科院2区，通讯作者）
[6] Min Yang, Lei Chen, Xiaojun Chen, Qingyao Wu,Wei Zhou, Ying Shen. Knowledge-enhanced Hierarchical Attention for Community Question Answering with Multi-task and Adaptive Learning.International Joint Conference on Artificial Intelligence (IJCAI), 2019.（CCF A类）
[7MinYang, Wenting Tu, Qiang Qu,Wei Zhou, Qiao Liu, Jia Zhu. Advanced community question answering by leveraging external knowledge and multi-task learning [J].Knowledge-Based Systems, 2019, 171(106-19).（中科院2区，CCF推荐）
[8]Wei Zhou, WEN J, KOH Y S, et al. Attack detection in recommender systems based on target item analysis; proceedings of the 2014 International Joint Conference on Neural Networks, IJCNN 2014, F, 2014 [C]. Institute of Electrical and Electronics Engineers Inc.（CCF 推荐）
[9]Wei Zhou, WEN J, GAO M, et al. A shilling attack detection method based on SVM and target item analysis in collaborative filtering recommender systems [M]//ZHANG Z, ZHANG S, ZHANG Z, et al. 8th International Conference on Knowledge Science, Engineering and Management, KSEM 2015. Springer Verlag. 2015: 751-63.（CCF 推荐）
[10]Wei Zhou, WEN J, XIONG Q, et al. Abnormal group user detection in recommender systems using multi-dimension time series [M]. Social-Informatics and Telecommunications Engineering, LNICST. Springer Verlag. 2017: 373-83.（CCF 推荐）
[11]Wei Zhou, WEN J, GAO M, et al. A QoS preference-based algorithm for service composition in service-oriented network [J]. Optik, 2013, 124(20): 4439-44.
[12]Wei Zhou, WEN J, GAO M, et al. Abnormal profiles detection based on time series and target item analysis for recommender systems [J]. Math Probl Eng, 2015.
[13]Romana Talat, Muhammad Muzammal, Qiang Qu,Wei Zhou*. etc. A Decentralized System for Green Energy Distribution in a Smart Grid[J].Journal of Energy Engineering, 2019, 146(1): 04019036.（中科院3区，通讯作者）
