Ying Sun

Orcid: 0000-0002-1556-6336

According to our database¹, Ying Sun authored at least 23 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2026

A granular approach for enhancing node representation in heterogeneous graph learning.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2026

2025

AFAS: Arbitrary-Freedom Adaptive Scheduling for Multiworkflow Cloud Computing via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., August, 2025

Cross-Domain Open-Set Fault Diagnosis for Rotating Machinery Based on Frequency-Aware Model With Neighborhood Invariance.

[BibT_eX]

[DOI]

IEEE Internet Things J., July, 2025

Multi-view learning based on product and process metrics for software defect prediction.

[BibT_eX]

[DOI]

Appl. Intell., April, 2025

Variational Graph Attention Networks With Self-Supervised Learning for Multivariate Time Series Anomaly Detection.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2025

Spatio-Temporal Dynamic Interlaced Network for 3D human pose estimation in video.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2025

FDSS: Flight data sharing scheme based on blockchain with dynamic, secure and efficient consensus algorithm.

[BibT_eX]

[DOI]

Comput. Networks, 2025

2024

The future of API analytics.

[BibT_eX]

[DOI]

Autom. Softw. Eng., November, 2024

Industrial process fault diagnosis based on feature enhanced meta-learning toward domain generalization scenarios.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2024

Learning the Dynamic Spatio-Temporal Relationship Between Joints for 3D Human Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

2023

A collaborative scheduling method for cloud computing heterogeneous workflows based on deep reinforcement learning.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., April, 2023

2022

Modality and Event Adversarial Networks for Multi-Modal Fake News Detection.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2022

Joint Domain Adaption and Pseudo-Labeling for Cross-Project Defect Prediction.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2022

2021

Semi-supervised Heterogeneous Defect Prediction with Open-source Projects on GitHub.

[BibT_eX]

[DOI]

Int. J. Softw. Eng. Knowl. Eng., 2021

Semantic Preserving Generative Adversarial Network For Cross-Modal Hashing.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Deep Adversarial Learning Based Heterogeneous Defect Prediction.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence and Security - 7th International Conference, 2021

2020

Manifold embedded distribution adaptation for cross-project defect prediction.

[BibT_eX]

[DOI]

IET Softw., 2020

Cross-Project Defect Prediction via Semi-Supervised Discriminative Feature Learning.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2020

Selective Pseudo-Labeling Based Subspace Learning for Cross-Project Defect Prediction.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2020

Adversarial Learning for Cross-Project Semi-Supervised Defect Prediction.

[BibT_eX]

[DOI]

IEEE Access, 2020

2019

Adversarial Domain Alignment Feature Similarity Enhancement Learning for Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

A Cost-Sensitive Shared Hidden Layer Autoencoder for Cross-Project Defect Prediction.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

2018

Cross-Project and Within-Project Semisupervised Software Defect Prediction: A Unified Approach.

[BibT_eX]

[DOI]

IEEE Trans. Reliab., 2018

Ying Sun

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