近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
[1].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.
[2].Liao Z, Pan H, Fan X, Zhang Y, & Kuang L. Multiple wavelet convolutional neural network for short-term load forecasting[J]. IEEE Internet of Things Journal, 2020.
[3].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
[4].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
[5].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)
[6].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
[7].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
[8].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
[9].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
[10].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
[11].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
[12].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
[13].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]
[14].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)
[15].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
[16].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)
[17].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)
[18].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)
[19].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
[20].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
[21].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
[22].Kehua Guo, Yujian Huang, Li Kuang, Yaoxue Zhang.CASP: A Context-Aware Transparent Active Service Provision Architecture, 2016 , 19 (1) :38-45
[23].Kai Dou;Bin Guo; *Li Kuang.A Time-Aware Weighted-SVM Model for Web Service QoS Prediction,12th EAI International Conference on Collaborative Computing: Networking, Applications and Worksharing,2016.11
[24].Bin Guo , Kai Dou, Li Kuang*. Life stage based recommendation in e-commerce. Neural Networks (IJCNN), 2016 International Joint Conference on. IEEE, 2016: 3461-3468
[25].Gaofeng Cao, Li Kuang*. Identifying Core Users based on Trust Relationships and Interest Similarity in Recommender System[C]//Web Services (ICWS), 2016 IEEE International Conference on. IEEE, 2016: 284-291
[26].Kehua Guo, Ruifang Zhang, Zhurong Zhou, Yayuan Tang, Li Kuang*. Combined retrieval: A convenient and precise approach for Internet image retrieval. Information Sciences, 2016, 358: 151-163
[27].Kehua Guo，Ruifang Zhang，Li Kuang(*)，TMR: Towards an Efficient Semantic-based Heterogeneous Transportation Media Big Data Retrieval，Neurocomputing，2016.3.12，181：122~131
[28].Li Kuang#, Xiang Tang, Meiqi Yu, Kehua Guo*. A Comprehensive Ranking Model for Tweets Big Data in Online Social Network. EURASIP Journal on Wireless Communications and Networking, 2016, 2016(46): 1-9
[29].Li Kuang#, Zhifang Liao, Wentao Feng, Haoneng He, Bei Zhang. Multimedia Services Quality Prediction based on the Association Mining between Context and QoS Properties. Signal Processing, 2016, 120(2016): 767-776
[30].Zhifang Liao, Min Liu, Li Kuang*. Markov Chain-like Model for Prediction Service Based on Improved Hierarchical Particle Swarm Optimization Cluster Algorithm. Int'l Journal of Software Engineering and Knowledge Engineering, 2016, 26(04): 653-674
[31].Hongxiao Fei, Tianchi Mo, Yang Wang, Zequan Wu, Yihuan Liu, Li Kuang*. The Searching Ranking Model Based on the Sharing and Recommending Mechanism of Social Network. 2015 Asia-Pacific Services Computing Conference (1-13). 2015, Bangkok, Thailand, 2015.12.7-12.9
[32].Tianchi Mo, Hongxiao Fei, Li Kuang*, Qifei Qin. Identifying Users' Interest Similarity Based On Clustering Hot Vertices in Social Networks. 2014 Asia-Pacific Services Computing Conference (170-176), 2014, Fuzhou, P.R. China, 2014.12.4-12.6
[33].Li Kuang#, Xiang Tang, and Kehua Guo*. Predicting the Times of Retweeting in Microblogs. Mathematical Problems in Engineering, 2014, 2014:1-10
[34].Li Kuang#, L Chen, Y Xie, J Wu. Full Recognition of Massive Products Based on Property Set. IEEE International Congress on Big Data (294-301), 2013, Santa Clara Marriott, CA, USA, 2013.6.27-7.2
[35].Jian Wu, Liang Chen, Qi Yu, Li Kuang, Yilun Wang, and Zhaohui Wu. Selecting Skyline Services for QoS-aware Composition by Upgrading MapReduce Paradigm. Cluster Computing, 2013, 16(4): 693-706
[36].Li Kuang#, Yingjie Xia, Caijun Sun, Jiaming Wu, Liangdi Bao. Secure Access to Private Services in Intranet for Mobile Clients. Research Journal of Applied Sciences, 2013, 5:1978-1985
[37].Li Kuang, Yingjie Xia, Yuxin Mao. Personalized Services Recommendation based on Context-Aware QoS. 19th IEEE International Conference on Web Services (400-406), Honolulu, Hawaii, USA, 2012.6.24-6.29
[38].Yingjie Xia, Li Kuang, Xiumei Li. Accelerating geospatial analysis on GPUs using CUDA. Journal of Zhejiang University - Science C, 2011, 12(12): 990-999
[39].Li Kuang#, Yuxin Mao, Yingjie Xia. A Decidable Formal Analysis of Context-Specific Behavioral Equivalence for Web Services. Advanced Science Letters, 2011, 4:1687-1694
[40].Li Kuang#, Liang Chen, Yingjie Xia. Reasoning on Context Satisfiability for Service Recommendation in Mobile Network. Journal of Digital Information Management, 2011, 9(6):249-254
[41].Li Kuang#, Liang Chen. A Framework for Criteria for the Behavioral Equivalence of Services. Applied Mathematics & Information Sciences, 2011, 5(2):1-7
[42].Li Kuang, Yingjie Xia, ShuiGuang Deng, Jian Wu. Analyzing Behavioral Substitution of Web Services Based on Pi-calculus. 17th IEEE International Conference on Web Services (441-448), Miami, Florida, USA, 2010.7.5-7.10
[43].Yingjie Xia, Li Kuang, Mingzhe Zhu. A Hierarchical Access Control Scheme in Cloud using HHECC. Information Technology Journal, 2010, 9(8):1598~1606
[44].吴健, 陈亮, 邓水光, 李莹, 邝砾*. 基于Skyline的QoS感知的动态服务选择. 计算机学报，2010，33(11):2136-2146
[45].Li Kuang, Zhaohui Wu, ShuiGuang Deng, Jian Wu, Ying Li. Towards Adaptation of Service Interface Semantics. 16th IEEE International Conference on Web Services (279-286), Los Angeles, CA, USA, 2009.7.6-7.10
[46].Li Kuang, Ying Li, Jian Wu, ShuiGuang Deng, Zhaohui Wu. Inverted Indexing for Composition Oriented Service Discovery. In Proceeding of IEEE International Conference on Web Services (257-264), Salt Lake City, Utah, USA, 2007.7.9-7.13
[47].Li Kuang, Jian Wu, Ying Li, ShuiGuang Deng, Zhaohui Wu. Exploring Dependency between Interfaces in Service Matchmaking. In Proceeding of IEEE International Conference on Services Computing (506-513), Salt Lake City, Utah, USA, 2007.7.9-7.13
[48].邓水光, 李莹, 吴健, 邝砾, 吴朝晖. Web服务行为兼容性的判定与计算.软件学报. 2007, 18(12): 3001-3014
[49].邝砾#，邓水光，李莹，吴健，吴朝晖.使用倒排索引优化语义服务发现.软件学报. 2007, 18(8):1911-1921
[50].Li Kuang, Ying Li, ShuiGuang Deng, Jian Wu, Wei Shi, Zhaohui Wu. Expressing Service and Query Behavior Using pi-Calculus for Matchmaking. In Proceeding of IEEE/WIC/ACM International Conference on Web Intelligence (629-632), HongKong, China, 2006.12.18-12.22
京公网安备 11010802027423号