- [41]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)
- [42]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
- [43]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
- [44]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
- [45]Kehua Guo, Yujian Huang, Li Kuang, Yaoxue Zhang.CASP: A Context-Aware Transparent Active Service Provision Architecture, 2016 , 19 (1) :38-45
- [46]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
- [47]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
- [48]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
- [49]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
- [50]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
- [51]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
- [52]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
- [53]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
- [54]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
- [55]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
- [56]Li Kuang#, Xiang Tang, and Kehua Guo*. Predicting the Times of Retweeting in Microblogs. Mathematical Problems in Engineering, 2014, 2014:1-10
- [57]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
- [58]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
- [59]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
- [60]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