Jun Zhao

35 papers A* 1A 1Journal 31Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dual-stage learning framework fusing semantics and physical knowledge for molecular property prediction.
Appl. Soft Comput.
Luhe Zhuang, Yanshen Sun, Jun Zhao, Hong Wang
2026 J jnl
Dynamic hierarchical memory improved mixture-of-experts for multimodal fake news detection.
Inf. Process. Manag.
Yihong Meng, Hong Wang, Jun Zhao, Yanshen Sun, Minglai Shao
2026 J jnl
MR-DID: Multi-relational graph neural network with adaptive structural entropy optimization for dynamic intrusion detection.
Expert Syst. Appl.
Yi Gao, Jun Zhao, Hong Wang, Minglai Shao
2026 J jnl
MT-DiffGen: Unifying affinity prediction and target-aware molecule generation with a multi-task diffusion model.
Knowl. Based Syst.
Shiping Li, Hong Wang, Tao Hu, Luhe Zhuang, Jun Zhao, Yuhuang Sheng, Yanshen Sun
2025 J jnl
Hypergraph convolution networks for botnet detection.
Knowl. Based Syst.
Jing Li, Bingkun Zhao, Guofu Zhao, Jinghong Lan, Jun Zhao, Minglai Shao
2025 J jnl
LLM-enhanced multi-level knowledge distillation for molecular property prediction.
Knowl. Based Syst.
Luhe Zhuang, Yanshen Sun, Jun Zhao, Yue Lu, Hong Wang
2025 J jnl
PHO-HGNN: Hypergraph neural network based on persistent homology optimization for class-imbalanced intrusion detection.
Knowl. Based Syst.
Yi Gao, Jun Zhao, Hong Wang, Minglai Shao
2024 — conf
A Few-Shot Network Flow Attack Classification via Graph Contrastive Learning.
CSCloud
Binbin Ge, Bo Li, Xudong Mou, Jun Zhao, Xudong Liu
2024 J jnl
A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Shengpeng Yu, Hong Wang, Jing Li, Jun Zhao, Cheng Liang, Yanshen Sun
2024 J jnl
A2-CLM: Few-Shot Malware Detection Based on Adversarial Heterogeneous Graph Augmentation.
IEEE Trans. Inf. Forensics Secur.
Chen Liu, Bo Li, Jun Zhao, Weiwei Feng, Xudong Liu, Chunpei Li
2024 J jnl
Dynamic heterogeneous graph contrastive networks for knowledge tracing.
Appl. Soft Comput.
Yehong Han, Hailiang Tang, Wenxiao Zhang, Lin Du, Jun Zhao, Minglai Shao
2024 J jnl
IMG: Deep Representation Graph Learning for Anomaly Detection in Industrial Control System.
J. Signal Process. Syst.
Binbin Ge, Jingru Bao, Bo Li, Xudong Mou, Jun Zhao, Xudong Liu
2024 J jnl
MalAF : Malware Attack Foretelling From Run-Time Behavior Graph Sequence.
IEEE Trans. Dependable Secur. Comput.
Chen Liu, Bo Li, Jun Zhao, Xudong Liu, Chunpei Li
2024 J jnl
PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation.
CoRR
Feiyan Feng, Tianyu Liu, Hong Wang, Jun Zhao, Wei Li, Yanshen Sun
2023 J jnl
A Soft-Attention Guidance Stacked neural Network for neoadjuvant chemotherapy's pathological response diagnosis using breast dynamic contrast-enhanced MRI.
Biomed. Signal Process. Control.
Tianyu Liu, Hong Wang, Shengpeng Yu, Feiyan Feng, Jun Zhao
2023 J jnl
A novel hierarchical attention-based triplet network with unsupervised domain adaptation for network intrusion detection.
Appl. Intell.
Jinghong Lan, Xudong Liu, Bo Li, Jun Zhao
2023 J jnl
Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction.
Inf. Sci.
Luhe Zhuang, Hong Wang, Jun Zhao, Yanshen Sun
2023 J jnl
Dual Network Contrastive Learning for Predicting Microbe-Disease Associations.
IEEE ACM Trans. Comput. Biol. Bioinform.
Enhao Cheng, Jun Zhao, Hong Wang, Shuguang Song, Shuxian Xiong, Yanshen Sun
2023 J jnl
Learning graph deep autoencoder for anomaly detection in multi-attributed networks.
Knowl. Based Syst.
Minglai Shao, Yujie Lin, Qiyao Peng, Jun Zhao, Zhan Pei, Yueheng Sun
2023 J jnl
RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks.
Knowl. Based Syst.
Jun Zhao, Minglai Shao, Hailiang Tang, Jianchao Liu, Lin Du, Hong Wang
2023 J jnl
TI-MVD: A temporal interaction-enhanced model for malware variants detection.
Knowl. Based Syst.
Chen Liu, Bo Li, Jun Zhao, Ziyang Zhen, Weiwei Feng, Xudong Liu
2022 J jnl
Cyber threat prediction using dynamic heterogeneous graph learning.
Knowl. Based Syst.
Jun Zhao, Minglai Shao, Hong Wang, Xiaomei Yu, Bo Li, Xudong Liu
2022 J jnl
MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection.
Comput. Secur.
Jinghong Lan, Xudong Liu, Bo Li, Jie Sun, Beibei Li, Jun Zhao
2021 J jnl
Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning.
Comput. Secur.
Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng, Lichao Sun
2021 J jnl
MASA: An efficient framework for anomaly detection in multi-attributed networks.
Comput. Secur.
Minglai Shao, Jianxin Li, Yue Chang, Jun Zhao, Xunxun Chen
2021 A* conf
MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning.
IJCAI
Chen Liu, Bo Li, Jun Zhao, Ming Su, Xudong Liu
2021 J jnl
MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning.
CoRR
Chen Liu, Bo Li, Jun Zhao, Ming Su, Xudong Liu
2021 J jnl
Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning.
Knowl. Based Syst.
Jun Zhao, Minglai Shao, Hao Peng, Hong Wang, Bo Li, Xudong Liu
2020 A conf
Cyber Threat Intelligence Modeling Based on Heterogeneous Graph Convolutional Network.
RAID
Jun Zhao, Qiben Yan, Xudong Liu, Bo Li, Guangsheng Zuo
2020 J jnl
Multi-attributed heterogeneous graph convolutional network for bot detection.
Inf. Sci.
Jun Zhao, Xudong Liu, Qiben Yan, Bo Li, Minglai Shao, Hao Peng
2020 J jnl
TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data.
Comput. Secur.
Jun Zhao, Qiben Yan, Jianxin Li, Minglai Shao, Zuti He, Bo Li
2019 J jnl
A model of mining approximate frequent itemsets using rough set theory.
Int. J. Comput. Sci. Eng.
Xiaomei Yu, Jun Zhao, Hong Wang, Xiangwei Zheng, Xiaoyan Yan
2019 J jnl
Detecting fake reviews via dynamic multimode network.
Int. J. High Perform. Comput. Netw.
Jun Zhao, Hong Wang
2019 J jnl
Detecting sparse rating spammer for accurate ranking of online recommendation.
Int. J. Comput. Sci. Eng.
Hong Wang, Xiaomei Yu, Jun Zhao, Yuanjie Zheng
2015 — conf
Microblog Orientation Analysis Based on Connnectives.
BWCCA
Jun Zhao, Hong Wang