Lina Gong - researchr alias

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Viewing Publication 1 - 26 from 26

2024

An extensive study of the effects of different deep learning models on code vulnerability detection in Python codeRongcun Wang, Senlei Xu, Xingyu Ji, Yuan Tian 0008, Lina Gong, Ke Wang. ASE, 31(1):15, June 2024. [doi]

case study of GitHubYaxin Zhao, Lina Gong, Wenhua Yang, Yu Zhou. SCP, 231:103027, January 2024. [doi]

2023

A Comprehensive Investigation of the Impact of Class Overlap on Software Defect PredictionLina Gong, Haoxiang Zhang, Jingxuan Zhang, Mingqiang Wei, Zhiqiu Huang. TSE, 49(4):2440-2458, April 2023. [doi]

What Is the Intended Usage Context of This Model? An Exploratory Study of Pre-Trained Models on Various Model RepositoriesLina Gong, Jingxuan Zhang, Mingqiang Wei, Haoxiang Zhang, Zhiqiu Huang. TOSEM, 32(3), May 2023. [doi]

BTLink : automatic link recovery between issues and commits based on pre-trained BERT modelJinpeng Lan, Lina Gong, Jingxuan Zhang, Haoxiang Zhang. ese, 28(4):103, July 2023. [doi]

The impact of feature selection techniques on effort-aware defect prediction: An empirical studyFuyang Li, Wanpeng Lu, Jacky Wai Keung, Xiao Yu, Lina Gong, Juan Li. iet-sen, 17(2):168-193, April 2023. [doi]

ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3-D Object DetectionYiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie 0001, Lina Gong, Jing Qin 0001, Mingqiang Wei. tgrs, 61:1-13, 2023. [doi]

ifUNet++: Iterative Feedback UNet++ for Infrared Small Target DetectionZhangying Weng, Peng Li, Xin Zhuang, Xuefeng Yan, Lina Gong, Haoran Xie 0001, Mingqiang Wei. icassp 2023: 1-5 [doi]

An Accurate Identifier Renaming Prediction and Suggestion ApproachJingxuan Zhang, Junpeng Luo, Jiahui Liang, Lina Gong, Zhiqiu Huang. TOSEM, 32(6), November 2023. [doi]

BEQAIN: An Effective and Efficient Identifier Normalization Approach With BERT and the Question Answering SystemJingxuan Zhang, Siyuan Liu, Lina Gong, Haoxiang Zhang, Zhiqiu Huang, He Jiang 0001. TSE, 49(4):2597-2620, April 2023. [doi]

2022

Contrastive Semantic-Guided Image Smoothing NetworkJie Wang 0012, Yongzhen Wang, Yidan Feng, Lina Gong, Xuefeng Yan, Haoran Xie 0001, Fu Lee Wang, Mingqiang Wei. cgf, 41(7):335-346, October 2022. [doi]

UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud RegistrationZhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang 0039, Yanwen Guo 0001, Jing Qin 0001, Mingqiang Wei. cgf, 41(7):87-98, October 2022. [doi]

Revisiting the Impact of Dependency Network Metrics on Software Defect PredictionLina Gong, Gopi Krishnan Rajbahadur, Ahmed E. Hassan, Shujuan Jiang. TSE, 48(12):5030-5049, 2022. [doi]

Solving the last mile problem in logistics: A mobile edge computing and blockchain-based unmanned aerial vehicle delivery systemXuejun Li, Lina Gong, Xiao Liu 0004, Frank Jiang 0001, Wenyu Shi, Lingmin Fan, Han Gao, Rui Li, Jia Xu. concurrency, 34(7), 2022. [doi]

Detecting Occluded and Dense Trees in Urban Terrestrial Views With a High-Quality Tree Detection DatasetYongzhen Wang, Xuefeng Yan, Hexiang Bao, Yiping Chen, Lina Gong, Mingqiang Wei, Jonathan Li 0001. tgrs, 60:1-12, 2022. [doi]

TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement LearningYongzhen Wang, Xuefeng Yan, Kaiwen Zhang 0011, Lina Gong, Haoran Xie 0001, Fu Lee Wang, Mingqiang Wei. cgf, 41(7):465-476, October 2022. [doi]

2020

2019

An improved transfer adaptive boosting approach for mixed-project defect predictionLina Gong, Shujuan Jiang, Li Jiang. SMR, 31(10), 2019. [doi]

Unsupervised Deep Domain Adaptation for Heterogeneous Defect PredictionLina Gong, Shujuan Jiang, Qiao Yu, Li Jiang. ieicet, 102-D(3):537-549, 2019. [doi]

Tackling Class Imbalance Problem in Software Defect Prediction Through Cluster-Based Over-Sampling With FilteringLina Gong, Shujuan Jiang, Li Jiang. access, 7:145725-145737, 2019. [doi]

Empirical Evaluation of the Impact of Class Overlap on Software Defect PredictionLina Gong, Shujuan Jiang, Rongcun Wang, Li Jiang. ASE 2019: 698-709 [doi]

FogWorkflowSim: An Automated Simulation Toolkit for Workflow Performance Evaluation in Fog ComputingXiao Liu, Lingmin Fan, Jia Xu, Xuejun Li, Lina Gong, John C. Grundy, Yun Yang. ASE 2019: 1114-1117 [doi]

Mobility-Aware Workflow Offloading and Scheduling Strategy for Mobile Edge ComputingJia Xu, Xuejun Li, Xiao Liu 0004, Chong Zhang, Lingmin Fan, Lina Gong, Juan Li. ica3pp 2020: 184-199 [doi]

2011

Predicting Software Quality by Optimized BP Network Based on PSOKewen Li, Jisong Kou, Lina Gong. jcp, 6(1):122-129, 2011. [doi]

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