Kun Zhu

According to our database, Kun Zhu authored at least 17 papers between 2020 and 2026.

Collaborative distances:

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

2026

MMFS-CF: A personalized data-driven credit card fraud detection model based on multi-modal multi-objective feature subset selection.

Nana Zhang, Kun Zhu, Chudong Wu, Dandan Zhu

Displays, 2026

Beyond siloed aggregation: An adaptive federated reinforcement learning model with multi-level knowledge distillation against evolving financial fraud.

Nana Zhang, Qin Li, Kun Zhu, Dandan Zhu

Displays, 2026

2025

Audio-Visual Saliency Prediction Model with Implicit Neural Representation.

Nana Zhang, Min Xiong, Dandan Zhu, Kun Zhu, Guangtao Zhai, Xiaokang Yang

ACM Trans. Multim. Comput. Commun. Appl., April, 2025

FDFRL: Credit Card Fraud Detection Based on Federated Reinforcement Learning.

Nana Zhang, Qin Li, Kun Zhu, Dandan Zhu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2025, 2025

2024

From Discrete Representation to Continuous Modeling: A Novel Audio-Visual Saliency Prediction Model With Implicit Neural Representations.

Dandan Zhu, Kaiwei Zhang, Kun Zhu, Nana Zhang, Weiping Ding, Guangtao Zhai, Xiaokang Yang

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection.

Kun Zhu, Nana Zhang, Weiping Ding, Changjun Jiang

IEEE Trans. Artif. Intell., August, 2024

MTCAM: A Novel Weakly-Supervised Audio-Visual Saliency Prediction Model With Multi-Modal Transformer.

Dandan Zhu, Kun Zhu, Weiping Ding, Nana Zhang, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

IMDAC: A robust intelligent software defect prediction model via multi-objective optimization and end-to-end hybrid deep learning networks.

Kun Zhu, Nana Zhang, Changjun Jiang, Dandan Zhu

Softw. Pract. Exp., February, 2024

WSBCV: A data-driven cross-version defect model via multi-objective optimization and incremental representation learning.

Nana Zhang, Kun Zhu, Weiping Ding, Dandan Zhu

Inf. Sci., 2024

IAPCP: An Effective Cross-Project Defect Prediction Model via Intra-Domain Alignment and Programming-Based Distribution Adaptation.

Nana Zhang, Kun Zhu, Dandan Zhu

IET Softw., 2024

TDiffSal: Text-Guided Diffusion Saliency Prediction Model for Images.

Nana Zhang, Min Xiong, Dandan Zhu, Kun Zhu, Guangtao Zhai

Proceedings of the Pattern Recognition - 27th International Conference, 2024

E^2DAS: An Efficient Equivariant Dynamic Aggregation Saliency Model for Omnidirectional Images.

Nana Zhang, Qian Liu, Dandan Zhu, Kun Zhu, Guangtao Zhai, Xiaokang Yang

Proceedings of the Pattern Recognition - 27th International Conference, 2024

2022

IVKMP: A robust data-driven heterogeneous defect model based on deep representation optimization learning.

Kun Zhu, Shi Ying, Weiping Ding, Nana Zhang, Dandan Zhu

Inf. Sci., 2022

Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine.

Nana Zhang, Shi Ying, Kun Zhu, Dandan Zhu

IET Softw., 2022

2021

Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network.

Kun Zhu, Shi Ying, Nana Zhang, Dandan Zhu

J. Syst. Softw., 2021

WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representation.

Nana Zhang, Shi Ying, Weiping Ding, Kun Zhu, Dandan Zhu

Inf. Sci., 2021

2020

Within-project and cross-project just-in-time defect prediction based on denoising autoencoder and convolutional neural network.

Kun Zhu, Nana Zhang, Shi Ying, Dandan Zhu

IET Softw., 2020