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
访问量：
最后更新时间：..
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[21]Li Z, Cheng Y, Yang H, et al. Retrieve-Guided Commit Message Generation with Semantic Similarity And Disparity[C]//2022 29th Asia-Pacific Software Engineering Conference (APSEC). IEEE, 2022: 357-366.
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[22]Tu S, Guan T, Kuang L. Multiple Biological Granularities Network for Person Re-Identification[C]//Proceedings of the 2022 International Conference on Multimedia Retrieval. 2022: 54-62.
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[23]Kuang L, Ge F, Zhang L. Suggesting method names based on graph neural network with salient information modelling[J]. Expert Systems, 2022, 39(6): e13030.
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[24]Cheng Y, Kuang L. CSRS: Code Search with Relevance Matching and Semantic Matching[J]. arXiv preprint arXiv:2203.07736, 30th IEEE/ACM International Conference on Program Comprehension, 2022.
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[25]Zhou C, Kuang L. Combining Global and Local Representations of Source Code for Method Naming[C]//2022 26th International Conference on Engineering of Complex Computer Systems (ICECCS). IEEE, 2022: 153-161.
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[26]Liang Q, Kuai Z, Zhang Y, et al. MisuseHint: A Service for API Misuse Detection Based on Building Knowledge Graph from Documentation and Codebase[C]//2022 IEEE International Conference on Web Services (ICWS). IEEE, 2022: 246-255.
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[27]L Kuang, J Zheng, K Li, H Gao. Intelligent Traffic Signal Control Based on Reinforcement Learning with State Reduction for Smart Cities. ACM Transactions on Internet Technology, Volume 21, Issue 4, 2021, Article No.: 102, pp 1–24https://doi.org/10.1145/3418682
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[28]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.
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[29]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.
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[30]X Yang;Y Xu; L Kuang; Z Wang et. al.An Information Fusion Approach to Intelligent Traffic Signal Control Using the Joint Methods of Multiagent Reinforcement Learning and Artificial Intelligence of Things.IEEE Transactions on Intelligent Transportation Systems. 2021
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[31]Sheng Y, Chen R, Cai G, et al. Backdoor Attack of Graph Neural Networks Based on Subgraph Trigger[C]//International Conference on Collaborative Computing: Networking, Applications and Worksharing. Springer, Cham, 2021: 276-296.
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[32]Wanzhi Xiao, Li Kuang, Ying An.Traffic Flow Prediction Through the Fusion of Spatial-Temporal Data and Points of Interest. International Conference on Database and Expert Systems Applications, 314-327, 2021.DOI:10.1007/978-3-030-86472-9_29
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[33]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
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[34]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.
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[35]Ge F, Kuang L. Keywords Guided Method Name Generation[J]. 29th IEEE/ACM International Conference on Program Comprehension, 2021.
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[36]Yang H, Kuang L. Multimodal temporal-clinical note network for mortality prediction[J]. Journal of Biomedical Semantics, 2021, 12(1): 1-14.
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[37]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.
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[38]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.
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[39]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.
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[40]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.
