Jie Chen

Orcid: 0000-0002-6701-084X

Affiliations:
  • Hangzhou Dianzi University, School of Computer Science and Technology, Hangzhou, China
  • Chinese Academy of Sciences, Institute of Software, Beijing, China (PhD 2016)


According to our database1, Jie Chen authored at least 25 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Occlusion-robust workflow recognition with context-aware compositional ConvNet.
Soft Comput., March, 2024

Actionable code smell identification with fusion learning of metrics and semantics.
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.
Sci. Comput. Program., 2024

2023
Towards an understanding of memory leak patterns: an empirical study in Python.
Softw. Qual. J., December, 2023

An Empirical Study on GitHub Sponsor Mechanism.
Int. J. Softw. Eng. Knowl. Eng., September, 2023

Pattern-based circular reference detection in Python.
Sci. Comput. Program., April, 2023

Graph-based code semantics learning for efficient semantic code clone detection.
Inf. Softw. Technol., April, 2023

Action detection with two-stream enhanced detector.
Vis. Comput., March, 2023

2022
Multiclass Classification for Self-Admitted Technical Debt Based on XGBoost.
IEEE Trans. Reliab., 2022

Proposal-Based Graph Attention Networks for Workflow Detection.
Neural Process. Lett., 2022

Characterizing and Detecting Methods to be Benchmarked under Performance Unit Test.
Int. J. Softw. Eng. Knowl. Eng., 2022

Natural Language-Based Automatic Programming for Industrial Robots.
J. Grid Comput., 2022

Characterizing and Triaging Change Points.
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.
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.
IEEE Trans. Reliab., 2021

Attention-based encoder-decoder networks for workflow recognition.
Multim. Tools Appl., 2021

Using BiLSTM with attention mechanism to automatically detect self-admitted technical debt.
Frontiers Comput. Sci., 2021

2020
Workflow recognition with structured two-stream convolutional networks.
Pattern Recognit. Lett., 2020

Security and performance-aware resource allocation for enterprise multimedia in mobile edge computing.
Multim. Tools Appl., 2020

2019
Detecting Java Code Clones Based on Bytecode Sequence Alignment.
IEEE Access, 2019

Analyzing performance-aware code changes in software development process.
Proceedings of the 27th International Conference on Program Comprehension, 2019

DeepTLE: Learning Code-Level Features to Predict Code Performance before It Runs.
Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019

2018
Efficiently detecting structural design pattern instances based on ordered sequences.
J. Syst. Softw., 2018

Multi-objective scheduling for scientific workflow in multicloud environment.
J. Netw. Comput. Appl., 2018

Fault-Tolerant Scheduling for Scientific Workflow with Task Replication Method in Cloud.
Proceedings of the 3rd International Conference on Internet of Things, 2018


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