Hongyu Kuang

Orcid: 0000-0002-6798-6543

According to our database1, Hongyu Kuang authored at least 24 papers between 2012 and 2023.

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

Timeline

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Links

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Bibliography

2023
Stability of stochastic functional differential equations with impulses.
Appl. Math. Lett., November, 2023

An attention-based automatic vulnerability detection approach with GGNN.
Int. J. Mach. Learn. Cybern., September, 2023

ENCD: a manually curated database of experimentally supported endocrine system disease and lncRNA associations.
Database J. Biol. Databases Curation, January, 2023

TRIAD: Automated Traceability Recovery based on Biterm-enhanced Deduction of Transitive Links among Artifacts.
CoRR, 2023

Leveraging User-Defined Identifiers for Counterfactual Data Generation in Source Code Vulnerability Detection.
Proceedings of the 23rd IEEE International Working Conference on Source Code Analysis and Manipulation, 2023

How Do Developers' Profiles and Experiences Influence their Logging Practices? An Empirical Study of Industrial Practitioners.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

RL-Based CEP Operator Placement Method on Edge Networks Using Response Time Feedback.
Proceedings of the Web Information Systems and Applications, 2023

2022
Automated detection on the security of the linked-list operations.
Frontiers Comput. Sci., 2022

Propagating frugal user feedback through closeness of code dependencies to improve IR-based traceability recovery.
Empir. Softw. Eng., 2022

Semi-supervised pre-processing for learning-based traceability framework on real-world software projects.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Automated Reliability Analysis of Redundancy Architectures Using Statistical Model Checking.
Proceedings of the Knowledge Science, Engineering and Management, 2022

Using Consensual Biterms from Text Structures of Requirements and Code to Improve IR-Based Traceability Recovery.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Incorporating Pre-trained Transformer Models into TextCNN for Sentiment Analysis on Software Engineering Texts.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

Modeling Review History for Reviewer Recommendation: A Hypergraph Approach.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

The Influence of Sponsorship on Open-Source Software Developers' Activities on GitHub.
Proceedings of the 46th IEEE Annual Computers, Software, and Applications Conferenc, 2022

2021
Exploiting the Unique Expression for Improved Sentiment Analysis in Software Engineering Text.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

2020
Automated Data-Processing Function Identification Using Deep Neural Network.
IEEE Access, 2020

2019
Using frugal user feedback with closeness analysis on code to improve IR-based traceability recovery.
Proceedings of the 27th International Conference on Program Comprehension, 2019

Macro Action Selection with Deep Reinforcement Learning in StarCraft.
Proceedings of the Fifteenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2019

2018
Response Time Aware Operator Placement for Complex Event Processing in Edge Computing.
Proceedings of the Service-Oriented Computing - 16th International Conference, 2018

2017
Analyzing closeness of code dependencies for improving IR-based Traceability Recovery.
Proceedings of the IEEE 24th International Conference on Software Analysis, 2017

Parallelized Mobility-Aware Complex Event Processing.
Proceedings of the 2017 IEEE International Conference on Web Services, 2017

2015
Can method data dependencies support the assessment of traceability between requirements and source code?
J. Softw. Evol. Process., 2015

2012
Do data dependencies in source code complement call dependencies for understanding requirements traceability?
Proceedings of the 28th IEEE International Conference on Software Maintenance, 2012


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