Kang Yang

Orcid: 0000-0002-5863-1003

Affiliations:
  • East China University of Science and Technology, Department of Computer Science and Engineering, Shanghai, China (PhD 2022)


According to our database1, Kang Yang authored at least 19 papers between 2019 and 2025.

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

Timeline

Legend:

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Bibliography

2025
A reinforcement learning malware detection model based on heterogeneous information network path representation.
Appl. Intell., April, 2025

Towards Early Warning and Migration of High-Risk Dormant Open-Source Software Dependencies.
Proceedings of the 47th IEEE/ACM International Conference on Software Engineering: New Ideas and Emerging Results, ICSE 2025 - NIER, Ottawa, ON, Canada, April 27, 2025

2024
Bug report priority prediction using social and technical features.
J. Softw. Evol. Process., June, 2024

2023
Towards Retrieval-Based Neural Code Summarization: A Meta-Learning Approach.
IEEE Trans. Software Eng., April, 2023

2022
A graph sequence neural architecture for code completion with semantic structure features.
J. Softw. Evol. Process., 2022

HBSniff: A static analysis tool for Java Hibernate object-relational mapping code smell detection.
Sci. Comput. Program., 2022

Community Smell Occurrence Prediction on Multi-Granularity by Developer-Oriented Features and Process Metrics.
J. Comput. Sci. Technol., 2022

Code Generation with Hybrid of Structural and Semantic Features Retrieval.
Int. J. Softw. Eng. Knowl. Eng., 2022

HQLgen: deep learning based HQL query generation from program context.
Autom. Softw. Eng., 2022

Bug Report Priority Prediction Using Developer-Oriented Socio-Technical Features.
Proceedings of the Internetware 2022: 13th Asia-Pacific Symposium on Internetware, Hohhot, China, June 11, 2022

2021
DEJIT: A Differential Evolution Algorithm for Effort-Aware Just-in-Time Software Defect Prediction.
Int. J. Softw. Eng. Knowl. Eng., 2021

Predicting Community Smells' Occurrence on Individual Developers by Sentiments.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

An Empirical Study of Model-Agnostic Interpretation Technique for Just-in-Time Software Defect Prediction.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2021

2020
Graph embedding code prediction model integrating semantic features.
Comput. Sci. Inf. Syst., 2020

Code Prediction Based on Graph Embedding Model.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

2019
Software Defect Prediction via Attention-Based Recurrent Neural Network.
Sci. Program., 2019

An Empirical Studies on Optimal Solutions Selection Strategies for Effort-Aware Just-in-Time Software Defect Prediction.
Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

An Empirical Study on Progressive Sampling for Just-in-Time Software Defect Prediction.
Proceedings of the 7th International Workshop on Quantitative Approaches to Software Quality co-located with 26th Asia-Pacific Software Engineering Conference (APSEC 2019), 2019

Deep Semantic Feature Learning with Embedded Static Metrics for Software Defect Prediction.
Proceedings of the 26th Asia-Pacific Software Engineering Conference, 2019


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