Journal Publications

[1]Kuai Z, Zhou Y, Xie Q, et al. Multi-Source Augmentation and Composite Prompts for Visual Recognition with Missing Modality[C]//Proceedings of the 2024 International Conference on Multimedia Retrieval. 2024: 543-551.
[2]Yang H, Chen H, Kuai Z, et al. ASKDetector: An AST-Semantic and Key Features Fusion based Code Comment Mismatch Detector[C]//Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension. 2024: 392-402.
[3]Xia Y, Liang T, Min W, et al. Improving AST-Level Code Completion with Graph Retrieval and Multi-Field Attention[C]//Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension. 2024: 125-136.
[4]Zhang H, Min W, Wei Z, et al. A Just-In-Time Software Defect Localization Method Based On Code Graph Representation[C]//Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension. 2024: 293-303.
[5]Xia Y, Liang T, Min W H, et al. Enhancing intelligent IoT services development by integrated multi-token code completion[J]. Computer Communications, 2023, 212: 313-323.
[6]Liang Q, Jin Y, Xie Q, et al. JARAD: An Approach for Java API Mention Recognition and Disambiguation in Stack Overflow[C]//International Conference on Collaborative Computing: Networking, Applications and Worksharing. Cham: Springer Nature Switzerland, 2023: 265-283.
[7]Chang J, Liang T, Xiao W, et al. Origin-Destination Convolution Recurrent Network: A Novel OD Matrix Prediction Framework[C]//International Conference on Collaborative Computing: Networking, Applications and Worksharing. Cham: Springer Nature Switzerland, 2023: 131-150.
[8]Zhang H, Kuang L, Wu A, et al. Just‐in‐time defect prediction enhanced by the joint method of line label fusion and file filtering[J]. IET Software, 2023.
[9]Dai K, Kang N, Kuang L. CTTSR: A Hybrid CNN-Transformer Network for Scene Text Image Super-Resolution[C]//ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2023: 1-5.
[10]Chen H, Yang H, Yan Z, et al. CGMBL: Combining GAN and Method Name for Bug Localization[C]//2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS). IEEE, 2022: 231-241.
[11]Kuang L, Zhou C, Yang X. Code comment generation based on graph neural network enhanced transformer model for code understanding in open-source software ecosystems[J]. Automated Software Engineering, 2022, 29(2): 43.
[12]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.
[13]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.
[14]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.
[15]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.
[16]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.
[17]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.
[18]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
[19]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.
[20]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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