[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)

[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）; 
[3] 国家自然科学基金. 电力监测无线传感器网络中感知数据的容忍与查询(No.61272437). 2013.1-2016.12, 排名第二;
[4] 国家自然科学基金. 基于云计算的海量网络数据管理与搜索技术(No.61073189). 2011.1-2013.12, 排名第二;
[5] 上海自然科学基金. 劣质容忍的电力负荷曲线数据质量控制技术研究(No. 13ZR1417500). 2013.7-2016.6, 主持
[6]上海市科委地方能力建设项目. 面向建筑能耗监控的自维持无线传感器网络关键技术研究(No. 12510500700)，2012.9-2014.9，排名第二
[7]上海市教委科研创新项目重点项目. 电力监测无线传感网中不确定数据质量控制与修复技术研究(No. 13ZZ131),2013.1-2015.12,排名第二
[8]上海市科委基础研究重点项目.电力监测无线传感器网络的故障诊断与安全机制(No. 12JC1404500). 2013.1-2015.12，排名第四
[9]上海高校选拔培养优秀青年教师科研专项基金. 基于UML的面向对象软件测试技术研究. 2011.3-2012.12, 主持.