| 姓名:毕忠勤 | 性别:男 | |
| 学历:博士研究生 | 职称:教授 | |
| 电话: | Email:zqbi@shiep.edu.cn | |
| 办公地址:计电楼A304 | ||
| 个人简介: 2009年毕业于华东师范大学，获系统分析与集成专业理学博士学位，教授，硕士生导师，上海电力大学“工程实践名师”。曾荣获学校青年教师讲课比赛二等奖、优秀青年教师、优秀共产党员、心目中的好老师、教书育人楷模等荣誉称号。主持与参与国家自然科学基金、上海市自然科学基金项目多项，主持完成国网上海市电力公司、国网冀北电力有限公司经济技术研究院等横向课题4项。担任CCF C类会议Collaboratecom TPC member，承担 IEEE Signal Processing Letters、ACM's Transactions on Internet Technology、Frontiers of Computer Science、Transactions on Intelligent Transportation Systems、Journal of Cloud Computing、Journal of Internet Technology、Collaboratecom、TridentCom、MobiCase等SCI期刊和国际会议审稿人，荣获上海市科技进步奖二等奖1项。在国内外学术期刊以及会议上发表学术论文50余篇，其中被三大检索论文超过30篇。 | ||
| 研究方向: 大数据分析、人工智能、输电线路智能巡检等 | ||
| 主讲课程: 《面向对象分析与设计》 《软件过程》 《离散数学》 《计算机应用基础》 《C语言程序设计》 《数据库原理》 | ||
| 科研成果: [1] Zhongqin Bi, Lina Jing, Meijing Shan, Shuming Dou, Shiyang Wang. Hierarchical Social Recommendation Model Based on a Graph Neural Network. Wireless Communications and Mobile Computing. 2021: 9107718:1-9107718:10. (SCI, CCF C类) [2] Tianchen Zhang, Zhongqin Bi, Meijing Shan, Yongbin Li. IFGAN: Information fusion generative adversarial network for knowledge base completion. Expert System. Early View. (SCI, CCF C类) [3] Zhongqin Bi, Shiyang Wang, Yan Chen, Yongbin Li, Jung Yoon Kim. A Knowledge-Enhanced Dialogue Model Based on Multi-Hop Information with Graph Attention. Computer Modeling in Engineering & Sciences, Vol.128, No.2, pp. 403-426, 2021, DOI:10.32604/cmes.2021.016729. (SCI) [4] Zhongqin Bi, Shuming Dou, Zhe Liu, Yongbin Li. A recommendations model with multiaspect awareness and hierarchical user-product attention mechanisms. Computer Science and Information Systems. 17(3): 849-865, 2020.(SCI) [5] Zhongqin Bi, Tianchen Zhang, Ping Zhou, Yongbin Li.Knowledge Transfer for Out-of-Knowledge-Base Entities: Improving Graph-NeuralNetwork-Based Embedding Using Convolutional Layers. IEEE Access, 2020. (SCI，CCF B类) [6] Zhongqin Bi, Ling Yu, Honghao Gao, Ping Zhou, Hongyang Yao. Improved VGG model-based efficient traffic sign recognition for safe driving in 5G scenarios. International Journal of Machine Learning and Cybernetics. 2020, DOI:10.1007/s13042-020-01185-5.(SCI，中科院二区) [7]Wen Si, Cong Liu, Zhongqin Bi, and Meijing Shan. Modeling Long-Term Dependencies from Videos Using Deep Multiplicative Neural Networks. ACM Trans. Multimedia Comput. Commun. Appl. 16, 2s, Article 63 (July 2020), 19 pages. DOI:https://doi.org/10.1145/3357797(SCI，CCF B类) [8] Bi, Zhongqin; Ma, Yuanyuan; Yang, Xiaoxian ; Zhou, Ping. Research on wireless robot path planning under edge computing considering multistep searching and inflection points , Transactions on Emerging Telecommunications Technologies. (SCI) [9] Bi, Zhongqin; Zhou, Siming; Yang, Xiaoxian ; Zhou, Ping; Wu, Jiale. An Approach for Item Recommendation Using Deep Neural Network Combined with the Bayesian Personalized Ranking , 15th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing, CollaborateCom 2019, London, United kingdom, 2019-8-19至2019-8-22. (CCF-C类会议，EI) [10] Meng-yao Shen, Jing-sheng Lei, Fei-ye Du, and Zhong-qin Bi. Power Micro-Blog Text Classification Based on Domain Dictionary and LSTM-RNN.e 14th EAI International Conference on Testbeds and Research Infrastructures for the Development of Networks & Communities (TridentCom 2019，EI). [11] Yu Jin, Zhongqin Bi. Power Load Curve Clustering Algorithm Using Fast Dynamic Time Warping and Affinity Propagation. The 2018 5th International Conference on Systems and Informatics.（EI） [12] Qing Yang, Li Han, Ya Zhou, Shaobing Liu, Jingwei Zhang, Zhongqin Bi, Fang Pan. Covering Diversification and Fairness for Better Recommendation. CollaborateCom 2019: 816-825.(CCF C类会议） [13] Qing Yang, Le Zhan, Li Han, Jingwei Zhang, Zhongqin Bi. Recommending More Suitable Music Based on Users' Real Context. CollaborateCom 2018: 124-137.（CCF C类会议） [14] Qing Yang, Xianhe Yao, Jingwei Zhang, Zhongqin Bi. Exploiting SDAE Model for Recommendations. SEKE 2018: 11-16. (EI) [15] Zhongqin Bi, Feifei Xu, Jingsheng Lei, and Teng Jiang. Attribute reduction in decision-theoretic set model based on minimum decision cost. Concurrency and Computation: Practice and Experience, 2016, 28(15): 4125–4143. (SCI，CCF C类) [16] Zhongqin Bi, Feifei Xu. Heuristic Reduction in Interval-valued Decision Table Based on Mutual Information, Journal of Computational Information Systems, 2015, 11(17): 6129-6137.(EI) [17] Fengyong Li, Kui Wu, Jingsheng Lei, Mi Wen, Zhongqin Bi, Chunhua Gu.Steganalysis Over Large-Scale Social Networks With High-Order Joint Features and Clustering Ensembles. IEEE Transactions on Information Forensics and Security, 2016, 11(2): 344-357.(SCI, CCF A类) [18] Guokang Zhu, Yuancheng Huang, Jingsheng Lei, Zhongqin Bi, Feifei Xu. Unsupervised Hyperspectral Band Selection by Dominant Set Extraction. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(1): 227-239.(SCI，CCF B类) [19] Dongyao Jia, Rui Zhang, Kejie Lu, Jianping Wang, Zhongqin Bi, Jingsheng Lei. Improving the uplink performance of drive-thru internet via platoon-based cooperative retransmission, IEEE Transactions on Vehicular Technology, 2014, 63(9): 4536-4545.(SCI) [20] Mi Wen, Jingsheng Lei, Zhongqin Bi, Jing Li. EAPA: An efficient authentication protocol against pollution attack for smart grid. Peer-to-Peer Networking and Applications, 2014: 1-8.(SCI, CCF C类) [21] Guoming Tang, Kui Wu, Jingsheng Lei, Zhongqin Bi, Jiuyang Tang. From Landscape to Portrait: A New Approach for Outlier Detection in Load Curve Data, IEEE Transactions on Smart Grid, 2013, 5(4): 1764-1773.(SCI 中科院一区) [22] Mi Wen, Jingsheng Lei, Zhongqin Bi. SSE: A Secure Searchable Encryption Scheme for Urban Sensing and Querying. International Journal of Distributed Sensor Networks, 2013, 2013(3): 1-8.(SCI) [23] 徐菲菲, 雷景生, 毕忠勤, 苗夺谦, 杜海舟. 大数据环境下多决策表的区间值全局近似约简, 软件学报, 2014, 25(9): 2119-2135.(EI) [24] 朱林, 雷景生, 毕忠勤, 杨杰. 一种基于数据流的软子空间聚类算法. 软件学报, 2013, 24(11): 2610-2627.(EI) [25] Feifei Xu, Zhongqin Bi, Jingsheng Lei. Cost minimization attribute reduction based on mutual information, 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2015, 215-219.(EI) [26] Feifei Xu, Zhongqin Bi, Jingsheng Lei. Approximate Reduction for the Interval-Valued Decision Table, Rough Sets and Knowledge Technology, 2014, 89-100.(EI) [27] Zhongxiong Yuan, Zhongqin Bi. Uncertain data processing of the condition-based maintenance of the power equipments. Journal of Computational Information Systems, 2015, 10(16): 7225-7231.(EI) [28] Feifei Xu, Lai Wei, Zhongqin Bi, Lin Zhu. Research on fuzzy rough parallel reduction based on mutual information, Journal of Computational Information Systems, 2014, 10(12): 5391-5401.(EI) [29] Lin Zhu, Jingsheng Lei, Zhongqin Bi, Feifei Xu. Study of fuzzy weighting subspace clustering for streaming data. Journal of Computational Information Systems, 2014, 10(14): 6305-6314. (EI) | ||
| 科研项目: [1] 国家自然科学基金. 面向多网融合的智能用电感知互动服务关键技术(No. 61672337), 2017.1-2020.12, 排名第二； [2] 国家自然科学基金. 基于节点社会性行为分析的车辆网络优化技术研究(No. 61373157), 2014.1-2017.12, 排名第二（联合主持）; | ||