Journal Publications

[21]Zhang Y, Kuai Z, Yao W, et al. KG2Code: Correct Code Examples Mining Service Based on Knowledge Graph for Fixing API Misuses[C]//International Conference on Service-Oriented Computing. Springer, Cham, 2021: 875-882.
[22]Feng Q, Zhang Y, Kuang L. Crowdturfing Detection in Online Review System: A Graph-Based Modeling[C]//International Conference on Collaborative Computing: Networking, Applications and Worksharing. Springer, Cham, 2021: 352-369.
[23]邝砾,施如意,赵雷浩,张欢,高洪皓.大粒度Pull Request描述自动生成.软件学报,2021,32(6):1597-1611
[24]Yang H, Kuang L. CCMC: Code Completion with a Memory Mechanism and a Copy Mechanism[M]//Evaluation and Assessment in Software Engineering. 2021: 129-138.
[25]Ge F, Kuang L. Keywords Guided Method Name Generation[J]. 29th IEEE/ACM International Conference on Program Comprehension, 2021.
[26]Yang H, Kuang L. Multimodal temporal-clinical note network for mortality prediction[J]. Journal of Biomedical Semantics, 2021, 12(1): 1-14.
[27]Zhang Y, Yang H, Kuang L. A Web API Recommendation Method with Composition Relationship Based on GCN[C]//2020 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom). IEEE, 2020: 601-608.
[28]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.
[29]OuYang S, Ge F, Kuang L, et al. API Misuse Detection Based on Stacked LSTM[C]//International Conference on Collaborative Computing: Networking, Applications and Worksharing. Springer, Cham, 2020: 421-438.
[30]Gao H, Kuang L, Yin Y, et al. Mining consuming behaviors with temporal evolution for personalized recommendation in mobile marketing apps[J]. Mobile Networks and Applications, 2020, 25: 1233-1248.
[31]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.
[32]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
[33]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
[34]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)
[35]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
[36]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
[37]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
[38]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
[39]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
[40]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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