Microblog Orientation Analysis Based on Connnectives. - Jun Zhao 017; Hong Wang 015 (BWCCA, 2015)

Detecting sparse rating spammer for accurate ranking of online recommendation. - Hong Wang 015; Xiaomei Yu; Jun Zhao 017; Yuanjie Zheng (Int. J. Comput. Sci. Eng., 2019)

A model of mining approximate frequent itemsets using rough set theory. - Xiaomei Yu; Jun Zhao 017; Hong Wang 015; Xiangwei Zheng 001; Xiaoyan Yan (Int. J. Comput. Sci. Eng., 2019)

Detecting fake reviews via dynamic multimode network. - Jun Zhao 017; Hong Wang 015 (Int. J. High Perform. Comput. Netw., 2019)

Cyber Threat Intelligence Modeling Based on Heterogeneous Graph Convolutional Network. - Jun Zhao 017; Qiben Yan; Xudong Liu 001; Bo Li 005; Guangsheng Zuo (RAID, 2020)

TIMiner: Automatically extracting and analyzing categorized cyber threat intelligence from social data. - Jun Zhao 017; Qiben Yan; Jianxin Li 002; Minglai Shao 001; Zuti He; Bo Li 005 (Comput. Secur., 2020)

Multi-attributed heterogeneous graph convolutional network for bot detection. - Jun Zhao 017; Xudong Liu 001; Qiben Yan; Bo Li 005; Minglai Shao 001; Hao Peng 001 (Inf. Sci., 2020)

MG-DVD: A Real-time Framework for Malware Variant Detection Based on Dynamic Heterogeneous Graph Learning. - Chen Liu 039; Bo Li 005; Jun Zhao 017; Ming Su; Xudong Liu 001 (IJCAI, 2021)

MASA: An efficient framework for anomaly detection in multi-attributed networks. - Minglai Shao 001; Jianxin Li 002; Yue Chang; Jun Zhao 017; Xunxun Chen (Comput. Secur., 2021)

Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning. - Jun Zhao 017; Xudong Liu 001; Qiben Yan; Bo Li 005; Minglai Shao 001; Hao Peng 001; Lichao Sun 001 (Comput. Secur., 2021)

Porn2Vec: A robust framework for detecting pornographic websites based on contrastive learning. - Jun Zhao 017; Minglai Shao 001; Hao Peng 001; Hong Wang 015; Bo Li 005; Xudong Liu 001 (Knowl. Based Syst., 2021)

MEMBER: A multi-task learning model with hybrid deep features for network intrusion detection. - Jinghong Lan; Xudong Liu 001; Bo Li 005; Jie Sun; Beibei Li 002; Jun Zhao 017 (Comput. Secur., 2022)

Cyber threat prediction using dynamic heterogeneous graph learning. - Jun Zhao 017; Minglai Shao 001; Hong Wang 015; Xiaomei Yu; Bo Li 005; Xudong Liu 001 (Knowl. Based Syst., 2022)

Adaptive dual graph contrastive learning based on heterogeneous signed network for predicting adverse drug reaction. - Luhe Zhuang; Hong Wang 015; Jun Zhao 017; Yanshen Sun (Inf. Sci., 2023)

Learning graph deep autoencoder for anomaly detection in multi-attributed networks. - Minglai Shao 001; Yujie Lin; Qiyao Peng 001; Jun Zhao 017; Zhan Pei; Yueheng Sun (Knowl. Based Syst., 2023)

Dual Network Contrastive Learning for Predicting Microbe-Disease Associations. - Enhao Cheng; Jun Zhao 017; Hong Wang 015; Shuguang Song; Shuxian Xiong; Yanshen Sun (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

A novel hierarchical attention-based triplet network with unsupervised domain adaptation for network intrusion detection. - Jinghong Lan; Xudong Liu 001; Bo Li 005; Jun Zhao 017 (Appl. Intell., 2023)

A Soft-Attention Guidance Stacked neural Network for neoadjuvant chemotherapy's pathological response diagnosis using breast dynamic contrast-enhanced MRI. - Tianyu Liu; Hong Wang 015; Shengpeng Yu; Feiyan Feng; Jun Zhao 017 (Biomed. Signal Process. Control., 2023)

TI-MVD: A temporal interaction-enhanced model for malware variants detection. - Chen Liu 039; Bo Li 005; Jun Zhao 017; Ziyang Zhen; Weiwei Feng; Xudong Liu 001 (Knowl. Based Syst., 2023)

RHGNN: Fake reviewer detection based on reinforced heterogeneous graph neural networks. - Jun Zhao 017; Minglai Shao 001; Hailiang Tang; Jianchao Liu; Lin Du; Hong Wang 015 (Knowl. Based Syst., 2023)

A Few-Shot Network Flow Attack Classification via Graph Contrastive Learning. - Binbin Ge; Bo Li 005; Xudong Mou; Jun Zhao 017; Xudong Liu 001 (CSCloud, 2024)

Dynamic heterogeneous graph contrastive networks for knowledge tracing. - Yehong Han; Hailiang Tang; Wenxiao Zhang; Lin Du; Jun Zhao 017; Minglai Shao 001 (Appl. Soft Comput., 2024)

PGDiffSeg: Prior-Guided Denoising Diffusion Model with Parameter-Shared Attention for Breast Cancer Segmentation. - Feiyan Feng; Tianyu Liu; Hong Wang 015; Jun Zhao 017; Wei Li 249; Yanshen Sun (CoRR, 2024)

A Multi-Relational Graph Encoder Network for Fine-Grained Prediction of MiRNA-Disease Associations. - Shengpeng Yu; Hong Wang 015; Jing Li; Jun Zhao 017; Cheng Liang 001; Yanshen Sun (IEEE ACM Trans. Comput. Biol. Bioinform., 2024)

MalAF : Malware Attack Foretelling From Run-Time Behavior Graph Sequence. - Chen Liu 039; Bo Li 005; Jun Zhao 017; Xudong Liu 001; Chunpei Li (IEEE Trans. Dependable Secur. Comput., 2024)

A2-CLM: Few-Shot Malware Detection Based on Adversarial Heterogeneous Graph Augmentation. - Chen Liu 039; Bo Li 005; Jun Zhao 017; Weiwei Feng; Xudong Liu 001; Chunpei Li (IEEE Trans. Inf. Forensics Secur., 2024)

IMG: Deep Representation Graph Learning for Anomaly Detection in Industrial Control System. - Binbin Ge; Jingru Bao; Bo Li 005; Xudong Mou; Jun Zhao 017; Xudong Liu 001 (J. Signal Process. Syst., 2024)

Hypergraph convolution networks for botnet detection. - Jing Li; Bingkun Zhao; Guofu Zhao; Jinghong Lan; Jun Zhao 017; Minglai Shao 001 (Knowl. Based Syst., 2025)

LLM-enhanced multi-level knowledge distillation for molecular property prediction. - Luhe Zhuang; Yanshen Sun; Jun Zhao 017; Yue Lu; Hong Wang 015 (Knowl. Based Syst., 2025)