Lina Gong

According to our database, Lina Gong authored at least 36 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PointSee: Image Enhances Point Cloud.

Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jing Qin, Mingqiang Wei

IEEE Trans. Vis. Comput. Graph., September, 2024

MR${}^{2}$ 2-KG: A Multi-Relation Multi-Rationale Knowledge Graph for Modeling Software Engineering Knowledge on Stack Overflow.

Lina Gong, Haoxiang Zhang

IEEE Trans. Software Eng., July, 2024

An extensive study of the effects of different deep learning models on code vulnerability detection in Python code.

Rongcun Wang, Senlei Xu, Xingyu Ji, Yuan Tian, Lina Gong, Ke Wang

Autom. Softw. Eng., June, 2024

How accessibility affects other quality attributes of software? A <i>case</i> study of GitHub.

Yaxin Zhao, Lina Gong, Wenhua Yang, Yu Zhou

Sci. Comput. Program., January, 2024

Basis path coverage testing of MPI programs based on multi-task evolutionary optimization.

Baicai Sun, Lina Gong, Yinan Guo, Dunwei Gong

Expert Syst. Appl., 2024

Coding-PTMs: How to Find Optimal Code Pre-trained Models for Code Embedding in Vulnerability Detection?

Yu Zhao, Lina Gong, Zhiqiu Huang, Yongwei Wang, Mingqiang Wei, Fei Wu

CoRR, 2024

2023

An Accurate Identifier Renaming Prediction and Suggestion Approach.

Jingxuan Zhang, Junpeng Luo, Jiahui Liang, Lina Gong, Zhiqiu Huang

ACM Trans. Softw. Eng. Methodol., November, 2023

BTLink : automatic link recovery between issues and commits based on pre-trained BERT model.

Jinpeng Lan, Lina Gong, Jingxuan Zhang, Haoxiang Zhang

Empir. Softw. Eng., July, 2023

What Is the Intended Usage Context of This Model? An Exploratory Study of Pre-Trained Models on Various Model Repositories.

Lina Gong, Jingxuan Zhang, Mingqiang Wei, Haoxiang Zhang, Zhiqiu Huang

ACM Trans. Softw. Eng. Methodol., May, 2023

BEQAIN: An Effective and Efficient Identifier Normalization Approach With BERT and the Question Answering System.

Jingxuan Zhang, Siyuan Liu, Lina Gong, Haoxiang Zhang, Zhiqiu Huang, He Jiang

IEEE Trans. Software Eng., April, 2023

A Comprehensive Investigation of the Impact of Class Overlap on Software Defect Prediction.

Lina Gong, Haoxiang Zhang, Jingxuan Zhang, Mingqiang Wei, Zhiqiu Huang

IEEE Trans. Software Eng., April, 2023

The impact of feature selection techniques on effort-aware defect prediction: An empirical study.

Fuyang Li, Wanpeng Lu, Jacky Wai Keung, Xiao Yu, Lina Gong, Juan Li

IET Softw., April, 2023

ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3-D Object Detection.

Yiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie, Lina Gong, Jing Qin, Mingqiang Wei

IEEE Trans. Geosci. Remote. Sens., 2023

How to get better embeddings with code pre-trained models? An empirical study.

Yu Zhao, Lina Gong, Haoxiang Zhang, Yaoshen Yu, Zhiqiu Huang

CoRR, 2023

Joint Depth Estimation and Mixture of Rain Removal From a Single Image.

Yongzhen Wang, Xuefeng Yan, Yanbiao Niu, Lina Gong, Yanwen Guo, Mingqiang Wei

CoRR, 2023

ifUNet++: Iterative Feedback UNet++ for Infrared Small Target Detection.

Zhangying Weng, Peng Li, Xin Zhuang, Xuefeng Yan, Lina Gong, Haoran Xie, Mingqiang Wei

Proceedings of the IEEE International Conference on Acoustics, 2023

MFF-Trans: Multi-level Feature Fusion Transformer for Fine-Grained Visual Classification.

Qi Hang, Xuefeng Yan, Lina Gong

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

SEGCN: Structural Enhancement Graph Clustering Network.

Yuwen Chen, Xuefeng Yan, Peng Cui, Lina Gong

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

TogetherNet: Bridging Image Restoration and Object Detection Together via Dynamic Enhancement Learning.

Yongzhen Wang, Xuefeng Yan, Kaiwen Zhang, Lina Gong, Haoran Xie, Fu Lee Wang, Mingqiang Wei

Comput. Graph. Forum, October, 2022

Contrastive Semantic-Guided Image Smoothing Network.

Jie Wang, Yongzhen Wang, Yidan Feng, Lina Gong, Xuefeng Yan, Haoran Xie, Fu Lee Wang, Mingqiang Wei

Comput. Graph. Forum, October, 2022

UTOPIC: Uncertainty-aware Overlap Prediction Network for Partial Point Cloud Registration.

Zhilei Chen, Honghua Chen, Lina Gong, Xuefeng Yan, Jun Wang, Yanwen Guo, Jing Qin, Mingqiang Wei

Comput. Graph. Forum, October, 2022

Revisiting the Impact of Dependency Network Metrics on Software Defect Prediction.

Lina Gong, Gopi Krishnan Rajbahadur, Ahmed E. Hassan, Shujuan Jiang

IEEE Trans. Software Eng., 2022

Detecting Occluded and Dense Trees in Urban Terrestrial Views With a High-Quality Tree Detection Dataset.

Yongzhen Wang, Xuefeng Yan, Hexiang Bao, Yiping Chen, Lina Gong, Mingqiang Wei, Jonathan Li

IEEE Trans. Geosci. Remote. Sens., 2022

ImLiDAR: Cross-Sensor Dynamic Message Propagation Network for 3D Object Detection.

Yiyang Shen, Rongwei Yu, Peng Wu, Haoran Xie, Lina Gong, Jing Qin, Mingqiang Wei

CoRR, 2022

PointSee: Image Enhances Point Cloud.

Lipeng Gu, Xuefeng Yan, Peng Cui, Lina Gong, Haoran Xie, Fu Lee Wang, Jin Qin, Mingqiang Wei

CoRR, 2022

Solving the last mile problem in logistics: A mobile edge computing and blockchain-based unmanned aerial vehicle delivery system.

Xuejun Li, Lina Gong, Xiao Liu, Frank Jiang, Wenyu Shi, Lingmin Fan, Han Gao, Rui Li, Jia Xu

Concurr. Comput. Pract. Exp., 2022

2020

A Novel Class-Imbalance Learning Approach for Both Within-Project and Cross-Project Defect Prediction.

Lina Gong, Shujuan Jiang, Lili Bo, Li Jiang, Junyan Qian

IEEE Trans. Reliab., 2020

Which Process Metrics Are Significantly Important to Change of Defects in Evolving Projects: An Empirical Study.

Li Jiang, Shujuan Jiang, Lina Gong, Yue Dong, Qiao Yu

IEEE Access, 2020

Conditional Domain Adversarial Adaptation for Heterogeneous Defect Prediction.

Lina Gong, Shujuan Jiang, Li Jiang

IEEE Access, 2020

2019

An improved transfer adaptive boosting approach for mixed-project defect prediction.

Lina Gong, Shujuan Jiang, Li Jiang

J. Softw. Evol. Process., 2019

Unsupervised Deep Domain Adaptation for Heterogeneous Defect Prediction.

Lina Gong, Shujuan Jiang, Qiao Yu, Li Jiang

IEICE Trans. Inf. Syst., 2019

Tackling Class Imbalance Problem in Software Defect Prediction Through Cluster-Based Over-Sampling With Filtering.

Lina Gong, Shujuan Jiang, Li Jiang

IEEE Access, 2019

FogWorkflowSim: An Automated Simulation Toolkit for Workflow Performance Evaluation in Fog Computing.

Xiao Liu, Lingmin Fan, Jia Xu, Xuejun Li, Lina Gong, John C. Grundy, Yun Yang

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Empirical Evaluation of the Impact of Class Overlap on Software Defect Prediction.

Lina Gong, Shujuan Jiang, Rongcun Wang, Li Jiang

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

Mobility-Aware Workflow Offloading and Scheduling Strategy for Mobile Edge Computing.

Jia Xu, Xuejun Li, Xiao Liu, Chong Zhang, Lingmin Fan, Lina Gong, Juan Li

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019

2011

Predicting Software Quality by Optimized BP Network Based on PSO.

Kewen Li, Jisong Kou, Lina Gong

J. Comput., 2011