Jun Zhao

Orcid: 0000-0003-2655-3888

Affiliations:
  • Beihang University, School of Computer Science and Engineering, China


According to our database1, Jun Zhao authored at least 34 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
MT-DiffGen: Unifying affinity prediction and target-aware molecule generation with a multi-task diffusion model.
Knowl. Based Syst., 2026

Dynamic hierarchical memory improved mixture-of-experts for multimodal fake news detection.
Inf. Process. Manag., 2026

MR-DID: Multi-relational graph neural network with adaptive structural entropy optimization for dynamic intrusion detection.
Expert Syst. Appl., 2026

Dual-stage learning framework fusing semantics and physical knowledge for molecular property prediction.
Appl. Soft Comput., 2026

2025
LLM-enhanced multi-level knowledge distillation for molecular property prediction.
Knowl. Based Syst., 2025

Hypergraph convolution networks for botnet detection.
Knowl. Based Syst., 2025

PHO-HGNN: Hypergraph neural network based on persistent homology optimization for class-imbalanced intrusion detection.
Knowl. Based Syst., 2025

2024
IMG: Deep Representation Graph Learning for Anomaly Detection in Industrial Control System.
J. Signal Process. Syst., October, 2024

A2-CLM: Few-Shot Malware Detection Based on Adversarial Heterogeneous Graph Augmentation.
IEEE Trans. Inf. Forensics Secur., 2024

MalAF : Malware Attack Foretelling From Run-Time Behavior Graph Sequence.
IEEE Trans. Dependable Secur. Comput., 2024

A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2024

PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation.
CoRR, 2024

Dynamic heterogeneous graph contrastive networks for knowledge tracing.
Appl. Soft Comput., 2024

A Few-Shot Network Flow Attack Classification via Graph Contrastive Learning.
Proceedings of the 11th IEEE International Conference on Cyber Security and Cloud Computing, 2024

2023
RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks.
Knowl. Based Syst., November, 2023

TI-MVD: A temporal interaction-enhanced model for malware variants detection.
Knowl. Based Syst., October, 2023

A Soft-Attention Guidance Stacked neural Network for neoadjuvant chemotherapy's pathological response diagnosis using breast dynamic contrast-enhanced MRI.
Biomed. Signal Process. Control., September, 2023

A novel hierarchical attention-based triplet network with unsupervised domain adaptation for network intrusion detection.
Appl. Intell., May, 2023

Dual Network Contrastive Learning for Predicting Microbe-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform., 2023

Learning graph deep autoencoder for anomaly detection in multi-attributed networks.
Knowl. Based Syst., 2023

Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction.
Inf. Sci., 2023

2022
Cyber threat prediction using dynamic heterogeneous graph learning.
Knowl. Based Syst., 2022

MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection.
Comput. Secur., 2022

2021
Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning.
Knowl. Based Syst., 2021

Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning.
Comput. Secur., 2021

MASA: An efficient framework for anomaly detection in multi-attributed networks.
Comput. Secur., 2021

MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020
Multi-attributed heterogeneous graph convolutional network for bot detection.
Inf. Sci., 2020

TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data.
Comput. Secur., 2020

Cyber Threat Intelligence Modeling Based on Heterogeneous Graph Convolutional Network.
Proceedings of the 23rd International Symposium on Research in Attacks, 2020

2019
Detecting fake reviews via dynamic multimode network.
Int. J. High Perform. Comput. Netw., 2019

A model of mining approximate frequent itemsets using rough set theory.
Int. J. Comput. Sci. Eng., 2019

Detecting sparse rating spammer for accurate ranking of online recommendation.
Int. J. Comput. Sci. Eng., 2019

2015
Microblog Orientation Analysis Based on Connnectives.
Proceedings of the 10th International Conference on Broadband and Wireless Computing, 2015


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