Kun Zhu

25 papers A* 4A 1Journal 17Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond siloed aggregation: An adaptive federated reinforcement learning model with multi-level knowledge distillation against evolving financial fraud.
Displays
Nana Zhang, Qin Li, Kun Zhu, Dandan Zhu
2026 A* conf
Bridging Cognitive Neuroscience and Graph Intelligence: Hippocampus-Inspired Multi-View Hypergraph Learning for Web Finance Fraud.
WWW
Rongkun Cui, Nana Zhang, Kun Zhu, Qi Zhang
2026 J jnl
CamFD: Semi-Supervised Camouflage-Aware Fraud Detection Based on Dynamic Graphs.
IEEE Trans. Syst. Man Cybern. Syst.
Rui Ou, Kun Zhu, Nana Zhang, MengChu Zhou, Changjun Jiang
2026 J jnl
Developing Evolving Adaptability in Biological Intelligence: A Novel Biologically-Inspired Continual Learning Model for Video Saliency Prediction.
IEEE Trans. Pattern Anal. Mach. Intell.
Dandan Zhu, Kaiwei Zhang, Kun Zhu, Nana Zhang, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang
2026 A* conf
Dynamic Min-Max Multi-Dimensional Reinforcement Backdoor Attacks and Orchestrated Closed-Loop Defense in Fairness-Aware Web Federated Finance.
WWW
Ruixiao Zhu, Kun Zhu, Nana Zhang, Qi Zhang, Changjun Jiang
2026 J jnl
MMFS-CF: A personalized data-driven credit card fraud detection model based on multi-modal multi-objective feature subset selection.
Displays
Nana Zhang, Kun Zhu, Chudong Wu, Dandan Zhu
2026 A* conf
STG-DGR: Fraud Detection on Streaming Transaction Graphs with Diffusion-based Generative Replay.
WWW
Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen, Changjun Jiang
2026 A* conf
Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning.
AAAI
Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen, Yuhua Xu, Changjun Jiang
2025 J jnl
Audio-Visual Saliency Prediction Model with Implicit Neural Representation.
ACM Trans. Multim. Comput. Commun. Appl.
Nana Zhang, Min Xiong, Dandan Zhu, Kun Zhu, Guangtao Zhai, Xiaokang Yang
2025 J jnl
Elevating Mesh Saliency in VR: Introducing a Novel Prediction Network and Dataset.
ACM Trans. Multim. Comput. Commun. Appl.
Kaiwei Zhang, Mohan He, Dandan Zhu, Kun Zhu, Xiongkuo Min, Guangtao Zhai
2025 — conf
FDFRL: Credit Card Fraud Detection Based on Federated Reinforcement Learning.
ICANN (4)
Nana Zhang, Qin Li, Kun Zhu, Dandan Zhu
2025 A conf
LD
ICME
Nana Zhang, Qian Liu, Dandan Zhu, Kun Zhu, Xiongkuo Min, Guangtao Zhai
2024 J jnl
An Adaptive Heterogeneous Credit Card Fraud Detection Model Based on Deep Reinforcement Training Subset Selection.
IEEE Trans. Artif. Intell.
Kun Zhu, Nana Zhang, Weiping Ding, Changjun Jiang
2024 — conf
E
ICPR (3)
Nana Zhang, Qian Liu, Dandan Zhu, Kun Zhu, Guangtao Zhai, Xiaokang Yang
2024 J jnl
From Discrete Representation to Continuous Modeling: A Novel Audio-Visual Saliency Prediction Model With Implicit Neural Representations.
IEEE Trans. Emerg. Top. Comput. Intell.
Dandan Zhu, Kaiwei Zhang, Kun Zhu, Nana Zhang, Weiping Ding, Guangtao Zhai, Xiaokang Yang
2024 J jnl
IAPCP: An Effective Cross-Project Defect Prediction Model via Intra-Domain Alignment and Programming-Based Distribution Adaptation.
IET Softw.
Nana Zhang, Kun Zhu, Dandan Zhu
2024 J jnl
IMDAC: A robust intelligent software defect prediction model via multi-objective optimization and end-to-end hybrid deep learning networks.
Softw. Pract. Exp.
Kun Zhu, Nana Zhang, Changjun Jiang, Dandan Zhu
2024 J jnl
MTCAM: A Novel Weakly-Supervised Audio-Visual Saliency Prediction Model With Multi-Modal Transformer.
IEEE Trans. Emerg. Top. Comput. Intell.
Dandan Zhu, Kun Zhu, Weiping Ding, Nana Zhang, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang
2024 — conf
TDiffSal: Text-Guided Diffusion Saliency Prediction Model for Images.
ICPR (8)
Nana Zhang, Min Xiong, Dandan Zhu, Kun Zhu, Guangtao Zhai
2024 J jnl
WSBCV: A data-driven cross-version defect model via multi-objective optimization and incremental representation learning.
Inf. Sci.
Nana Zhang, Kun Zhu, Weiping Ding, Dandan Zhu
2022 J jnl
IVKMP: A robust data-driven heterogeneous defect model based on deep representation optimization learning.
Inf. Sci.
Kun Zhu, Shi Ying, Weiping Ding, Nana Zhang, Dandan Zhu
2022 J jnl
Software defect prediction based on stacked sparse denoising autoencoders and enhanced extreme learning machine.
IET Softw.
Nana Zhang, Shi Ying, Kun Zhu, Dandan Zhu
2021 J jnl
Software defect prediction based on enhanced metaheuristic feature selection optimization and a hybrid deep neural network.
J. Syst. Softw.
Kun Zhu, Shi Ying, Nana Zhang, Dandan Zhu
2021 J jnl
WGNCS: A robust hybrid cross-version defect model via multi-objective optimization and deep enhanced feature representation.
Inf. Sci.
Nana Zhang, Shi Ying, Weiping Ding, Kun Zhu, Dandan Zhu
2020 J jnl
Within-project and cross-project just-in-time defect prediction based on denoising autoencoder and convolutional neural network.
IET Softw.
Kun Zhu, Nana Zhang, Shi Ying, Dandan Zhu