教授
博士生导师
硕士生导师
入职时间:2013-03-15
所在单位:计算机学院
学历:博士研究生毕业
办公地点:岳麓山校区管理楼602办公室
性别:女
联系方式:kuangli@csu.edu.cn
学位:博士学位
在职信息:在职
毕业院校:浙江大学计算机科学与技术学院
学科:计算机科学与技术
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[41]Kuang L, Zhang H, Shi R, et al. A spam worker detection approach based on heterogeneous network embedding in crowdsourcing platforms[J]. Computer Networks, 2020, 183: 107587.
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[42]Kuang, L., Hua, C., Wu, J. et al. Traffic Volume Prediction Based on Multi-Sources GPS Trajectory Data by Temporal Convolutional Network. Mobile Netw Appl (2020). https://doi.org/10.1007/s11036-019-01458-6
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[43]Kuang, L., Tu, S., Zhang, Y. et al. Providing privacy preserving in next POI recommendation for Mobile edge computing. J Cloud Comp 9, 10 (2020). https://doi.org/10.1186/s13677-020-0158-3
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[44]Kuang, L., Wang, Y., Zheng, X. et al. Using location semantics to realize personalized road network location privacy protection. J Wireless Com Network 2020, 1 (2020)
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[45]Kuang L, Gong T, OuYang SY, et.al. Offloading decision methods for multiple users with structured tasks in edge computing for smart cities. Future Generation Computer Systems. 2020
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[46]Cao G, Zhang H, Zheng J, et al. An Outlier Degree Shilling Attack Detection Algorithm Based on Dynamic Feature Selection[J]. International Journal of Software Engineering and Knowledge Engineering, 2019, 29(08): 1159-1178
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[47]Zheng X, Yang Z, Liu L, et al. Predicting Traffic Flow Based on Encoder-Decoder Framework[C]//International Conference on Collaborative Computing: Networking, Applications and Worksharing. Springer, Cham, 2019: 518-533
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[48]Dou K, Guo B, Kuang L. A privacy-preserving multimedia recommendation in the context of social network based on weighted noise injection[J]. Multimedia Tools and Applications, 2019, 78(19): 26907-26926
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[49]Kuang L, Yan X, Tan X, et al. Predicting Taxi Demand Based on 3D Convolutional Neural Network and Multi-task Learning[J]. Remote Sensing, 2019, 11(11): 1265
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[50]Kuang L, Yan H, Zhu Y, et al. Predicting duration of traffic accidents based on cost-sensitive Bayesian network and weighted K-nearest neighbor[J]. Journal of Intelligent Transportation Systems, 2019, 23(2): 161-174
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[51]Shan L, Yang Z, Zhang H, et al. Predicting Duration of Traffic Accidents Based on Ensemble Learning[C]//International Conference on Collaborative Computing: Networking, Applications and Worksharing. Springer, Cham, 2018: 252-266
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[52]Li Kuang, Yujia Zhu, Shuqi Li, Xuejin Yan, Han Yan, and Shuiguang Deng, “A Privacy Protection Model of Data Publication Based on Game Theory,”?Security and Communication Networks, vol. 2018, Article ID 3486529, 13 pages, 2018.?https://doi.org/10.1155/2018/3486529[J]
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[53]马鹏举,王胤,余龙,李传斌,邝砾*. 基于代价敏感决策树的P2P网络借贷风险评估. 计算机集成制造系统, 2018, 24(第7): 1880-1886. (CSCD核心, EI)
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[54]Zhu Y, Yan X, Li S, et al. An Approach to Reducing Implicit Privacy Disclosure in Spatial-Temporal Big Data Publishing[C]//2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, 2018: 1112-1117
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[55]Gaofeng Cao, Huan Zhang, Yuyou Fan and Li Kuang*. Finding Shilling Attack in Recommender System based on Dynamic Feature Selection. The 30th International Conference on Software Engineering & Knowledge Engineering, San Francisco Bay, USA, 2018. 7.1-2018.7.3. 50-56. (CCF C类会议)
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[56]Li Kuang#*, Long Yu, Lan Huang, Yin Wang, Pengju Ma, Chuanbin Li. A Personalized QoS Prediction Approach for CPS Service Recommendation Based on Reputation and Location-Aware Collaborative Filtering. Sensors, 2018, 18(5):1556, 1-32. (SCI, Q2, 2.475)
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[57]Chuanbin Li, Xiaosen Zheng, Zikun Yang, Li Kuang*. Predicting Short-Term Electricity Demand by Combining the Advantages of ARMA and XGBoost in Fog Computing Environment. Wireless Communications and Mobile Computing, Volume 2018, Article ID 5018053, 18 pages https://doi.org/10.1155/2018/5018053. (SCI, Q4, 0.869)
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[58]Li Kuang#, Gaofeng Cao, Liang Chen. Extracting Core Users Based on Features of Users and Their Relationships in Recommender Systems. International Journal of Web Services Research (IJWSR), 2017, 14(2): 1-23
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[59]Li Kuang#, Yin Wang, Pengju Ma, Long Yu, Chuanbin Li, Lan Huang, and Mengyao Zhu. An Improved Privacy-Preserving Framework for Location-Based Services Based on Double Cloaking Regions with Supplementary Information Constraints. Security and Communication Networks, Volume 2017 (2017), Article ID 7495974, 15 pages, https://doi.org/10.1155/2017/7495974
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[60]于美琪,邝砾*,呙斌,曹高峰. 融合社会网络和项目特征的移动应用推荐. 《小型微型计算机系统》, 2017, 38(2): 310-313