A Soft-Attention Guidance Stacked neural Network for neoadjuvant chemotherapy's pathological response diagnosis using breast dynamic contrast-enhanced MRI.

[BibT_eX]

[DOI]

Tianyu Liu

Hong Wang

Shengpeng Yu

Feiyan Feng

Jun Zhao

Biomed. Signal Process. Control., September, 2023

A novel hierarchical attention-based triplet network with unsupervised domain adaptation for network intrusion detection.

[BibT_eX]

[DOI]

Appl. Intell., May, 2023

Dual Network Contrastive Learning for Predicting Microbe-Disease Associations.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Learning graph deep autoencoder for anomaly detection in multi-attributed networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction.

[BibT_eX]

[DOI]

Inf. Sci., 2023

2022

Cyber threat prediction using dynamic heterogeneous graph learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection.

[BibT_eX]

[DOI]

Comput. Secur., 2022

2021

Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning.

[BibT_eX]

[DOI]

Comput. Secur., 2021

MASA: An efficient framework for anomaly detection in multi-attributed networks.

[BibT_eX]

[DOI]

Comput. Secur., 2021

MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Multi-attributed heterogeneous graph convolutional network for bot detection.

[BibT_eX]

[DOI]

Inf. Sci., 2020

TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data.

[BibT_eX]

[DOI]

Comput. Secur., 2020

Cyber Threat Intelligence Modeling Based on Heterogeneous Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Symposium on Research in Attacks, 2020

2019

A model of mining approximate frequent itemsets using rough set theory.

[BibT_eX]

[DOI]

Int. J. Comput. Sci. Eng., 2019

Detecting sparse rating spammer for accurate ranking of online recommendation.

[BibT_eX]

[DOI]

Int. J. Comput. Sci. Eng., 2019

Jun Zhao

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