Jie Chen

According to our database, Jie Chen authored at least 26 papers between 2018 and 2025.

Collaborative distances:

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

2025

Enhancing structural knowledge in code smell identification: A fusion learning framework combining AST-based metrics with semantic embeddings.

Quanxin Yang, Dongjin Yu, Sixuan Wang, Yihang Xu, Xin Chen, Jie Chen, Bin Hu

Expert Syst. Appl., 2025

2024

Occlusion-robust workflow recognition with context-aware compositional ConvNet.

Min Zhang, Haiyang Hu, Zhongjin Li, Jie Chen

Soft Comput., March, 2024

Actionable code smell identification with fusion learning of metrics and semantics.

Dongjin Yu, Quanxin Yang, Xin Chen, Jie Chen, Sixuan Wang, Yihang Xu

Sci. Comput. Program., 2024

What makes a real change in software performance? An empirical study on analyzing the factors that affect the triagement of performance change points.

Jie Chen, Ziyuan Zhang, Dongjin Yu, Haiyang Hu

Sci. Comput. Program., 2024

2023

Towards an understanding of memory leak patterns: an empirical study in Python.

Jie Chen, Dongjin Yu, Haiyang Hu

Softw. Qual. J., December, 2023

An Empirical Study on GitHub Sponsor Mechanism.

Ziyuan Zhang, Yiqian Yang, Haolan He, Jie Chen

Int. J. Softw. Eng. Knowl. Eng., September, 2023

Pattern-based circular reference detection in Python.

Jie Chen, Tao Jiang, Dongjin Yu, Haiyang Hu

Sci. Comput. Program., April, 2023

Graph-based code semantics learning for efficient semantic code clone detection.

Dongjin Yu, Quanxin Yang, Xin Chen, Jie Chen, Yihang Xu

Inf. Softw. Technol., April, 2023

Action detection with two-stream enhanced detector.

Min Zhang, Haiyang Hu, Zhongjin Li, Jie Chen

Vis. Comput., March, 2023

2022

Multiclass Classification for Self-Admitted Technical Debt Based on XGBoost.

Xin Chen, Dongjin Yu, Xulin Fan, Lin Wang, Jie Chen

IEEE Trans. Reliab., 2022

Proposal-Based Graph Attention Networks for Workflow Detection.

Min Zhang, Haiyang Hu, Zhongjin Li, Jie Chen

Neural Process. Lett., 2022

Characterizing and Detecting Methods to be Benchmarked under Performance Unit Test.

Jie Chen, Haiyang Hu, Dongjin Yu

Int. J. Softw. Eng. Knowl. Eng., 2022

Natural Language-Based Automatic Programming for Industrial Robots.

Haiyang Hu, Jie Chen, Hanwen Liu, Zhongjin Li, Liguo Huang

J. Grid Comput., 2022

Characterizing and Triaging Change Points.

Jie Chen, Haiyang Hu, Dongjin Yu

Proceedings of the ICPE '22: ACM/SPEC International Conference on Performance Engineering, Bejing, China, April 9, 2022

Detecting and Refactoring Feature Envy Based on Graph Neural Network.

Dongjin Yu, Yihang Xu, Lehui Weng, Jie Chen, Xin Chen, Quanxin Yang

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

2021

Modeling and Analysis of Cyber-Physical System Based on Object-Oriente Generalized Stochastic Petri Net.

Haiyang Hu, Jiawei Yu, Zhongjin Li, Jie Chen, Hua Hu

IEEE Trans. Reliab., 2021

Attention-based encoder-decoder networks for workflow recognition.

Min Zhang, Haiyang Hu, Zhongjin Li, Jie Chen

Multim. Tools Appl., 2021

Using BiLSTM with attention mechanism to automatically detect self-admitted technical debt.

Dongjin Yu, Lin Wang, Xin Chen, Jie Chen

Frontiers Comput. Sci., 2021

2020

Workflow recognition with structured two-stream convolutional networks.

Haiyang Hu, Kaiming Cheng, Zhongjin Li, Jie Chen, Hua Hu

Pattern Recognit. Lett., 2020

Security and performance-aware resource allocation for enterprise multimedia in mobile edge computing.

Zhongjin Li, Haiyang Hu, Binbin Huang, Jie Chen, Chuanyi Li, Hua Hu, Liguo Huang

Multim. Tools Appl., 2020

2019

Detecting Java Code Clones Based on Bytecode Sequence Alignment.

Dongjin Yu, Jiazha Yang, Xin Chen, Jie Chen

IEEE Access, 2019

Analyzing performance-aware code changes in software development process.

Jie Chen, Dongjin Yu, Haiyang Hu, Zhongjin Li, Hua Hu

Proceedings of the 27th International Conference on Program Comprehension, 2019

DeepTLE: Learning Code-Level Features to Predict Code Performance before It Runs.

Meiling Zhou, Jie Chen, Haiyang Hu, JiaCheng Yu, Zhongjin Li, Hua Hu

Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

2018

Efficiently detecting structural design pattern instances based on ordered sequences.

Dongjin Yu, Ping Zhang, Jiazha Yang, Zhenli Chen, Chengfei Liu, Jie Chen

J. Syst. Softw., 2018

Multi-objective scheduling for scientific workflow in multicloud environment.

Haiyang Hu, Zhongjin Li, Hua Hu, Jie Chen, Jidong Ge, Chuanyi Li, Victor I. Chang

J. Netw. Comput. Appl., 2018

Fault-Tolerant Scheduling for Scientific Workflow with Task Replication Method in Cloud.

Zhongjin Li, JiaCheng Yu, Haiyang Hu, Jie Chen, Hua Hu, Jidong Ge, Victor Chang

Proceedings of the 3rd International Conference on Internet of Things, 2018