Incorporating Expert Judgement into Bayesian Network Machine Learning. - Yun Zhou 001; Norman E. Fenton; Martin Neil; Cheng Zhu 002 (IJCAI, 2013)

An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints. - Yun Zhou 001; Norman E. Fenton; Martin Neil (Probabilistic Graphical Models, 2014)

Bayesian network approach to multinomial parameter learning using data and expert judgments. - Yun Zhou 001; Norman E. Fenton; Martin Neil (Int. J. Approx. Reason., 2014)

Extending Naive Bayes Classifier with Hierarchy Feature Level Information for Record Linkage. - Yun Zhou 001; John Howroyd; Sebastian Danicic; J. Mark Bishop (AMBN@JSAI-isAI, 2015)

Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. - Yun Zhou 001; Norman E. Fenton; Timothy M. Hospedales; Martin Neil (UAI, 2015)

New techniques for learning parameters in Bayesian networks. - Yun Zhou 001 (2015)

An empirical study of Bayesian network parameter learning with monotonic influence constraints. - Yun Zhou 001; Norman E. Fenton; Cheng Zhu 002 (Decis. Support Syst., 2016)

When and where to transfer for Bayesian network parameter learning. - Yun Zhou 001; Timothy M. Hospedales; Norman E. Fenton (Expert Syst. Appl., 2016)

Multiple DAGs Learning with Non-negative Matrix Factorization. - Yun Zhou 001; Jiang Wang 003; Cheng Zhu 002; Weiming Zhang 003 (AMBN, 2017)

Shape-Based Analysis for Vessel Trajectories. - Jiang Wang 003; Yun Zhou 001; Xiaofeng Cao 001; Yilin Wang; Cheng Zhu 002; Weiming Zhang 003 (SIGSPATIAL/GIS, 2017)

A framework for key element evaluation of combat system. - Peichao Wang; Yun Zhou 001; Jiang Wang 003; Cheng Zhu 002; Chao Chen; Weiming Zhang 003 (SMC, 2017)

Improving Record Linkage Accuracy with Hierarchical Feature Level Information and Parsed Data. - Yun Zhou 001; Minlue Wang; Valeriia Haberland; John Howroyd; Sebastian Danicic; J. Mark Bishop (New Gener. Comput., 2017)

Role classification with netflow data in intranet. - Peichao Wang; Yun Zhou 001; Cheng Zhu 002; Ruiqi Yue (ICACI, 2018)

Dynamic Defense Strategy against Stealth Malware Propagation in Cyber-Physical Systems. - Kaiming Xiao; Cheng Zhu 002; Junjie Xie; Yun Zhou 001; Xianqiang Zhu; Weiming Zhang 003 (INFOCOM, 2018)

Bottleneck Identification of Extended Flexible Job Shop Scheduling Problem. - Yunfei Wang; Luohao Tang; Yun Zhou 001; Cheng Zhu 002; Weiming Zhang 003; Lianfei Yu (ISCBI, 2018)

Cyber Security Inference Based on a Two-Level Bayesian Network Framework. - Yun Zhou 001; Cheng Zhu 002; Luohao Tang; Weiming Zhang 003; Peichao Wang (SMC, 2018)

Semi-Supervised Learning with Ensemble Self-Training for Cancer Classification. - Qing-Yong Wang; Liang-Yong Xia; Hua Chai; Yun Zhou 001 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Interactive Temporal Recurrent Convolution Network for Traffic Prediction in Data Centers. - Xiaofeng Cao 001; Yuhua Zhong; Yun Zhou 001; Jiang Wang 003; Cheng Zhu 002; Weiming Zhang 003 (IEEE Access, 2018)

From Partition-Based Clustering to Density-Based Clustering: Fast Find Clusters With Diverse Shapes and Densities in Spatial Databases. - Jiang Wang 003; Cheng Zhu 002; Yun Zhou 001; Xianqiang Zhu; Yilin Wang; Weiming Zhang 003 (IEEE Access, 2018)

Intelligent Prediction of Vulnerability Severity Level Based on Text Mining and XGBboost. - Peichao Wang; Yun Zhou 001; Baodan Sun; Weiming Zhang 003 (ICACI, 2019)

An ensemble learning approach for XSS attack detection with domain knowledge and threat intelligence. - Yun Zhou 001; Peichao Wang (Comput. Secur., 2019)

How Can We Deal With Adversarial Examples? - Zhengfei Yu; Yun Zhou 001; Weiming Zhang 003 (ICACI, 2020)

IDA-GAN: A Novel Imbalanced Data Augmentation GAN. - Hao Yang 042; Yun Zhou 001 (ICPR, 2020)

FSPMTL: Flexible Self-Paced Multi-Task Learning. - Lijian Sun; Yun Zhou 001 (IEEE Access, 2020)

The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling. - Lijian Sun; Yun Zhou 001; Yanjuan Wang; Cheng Zhu 002; Weiming Zhang 003 (IEEE Access, 2020)

Dynamic Defense against Stealth Malware Propagation in Cyber-Physical Systems: A Game-Theoretical Framework. - Kaiming Xiao; Cheng Zhu 002; Junjie Xie; Yun Zhou 001; Xianqiang Zhu; Weiming Zhang 003 (Entropy, 2020)

Adaptive sampling using self-paced learning for imbalanced cancer data pre-diagnosis. - Qingyong Wang; Yun Zhou 001; Weiming Zhang 003; Zhangui Tang; Xiaojing Chen (Expert Syst. Appl., 2020)

MVDT-SI: A Multi-View Double-Triangle Algorithm for Star Identification. - Lijian Sun; Yun Zhou 001 (Sensors, 2020)

An unsupervised ensemble framework for node anomaly behavior detection in social network. - Qing Cheng 004; Yun Zhou 001; Yanghe Feng; Zhong Liu 002 (Soft Comput., 2020)

Random Forest with Self-Paced Bootstrap Learning in Lung Cancer Prognosis. - Qingyong Wang; Yun Zhou 001; Weiping Ding 001; Zhiguo Zhang 001; Khan Muhammad 001; Zehong Cao (ACM Trans. Multim. Comput. Commun. Appl., 2020)

MOOC Dropout Prediction Based on Dynamic Embedding Representation Learning. - Lin Wang; Zhengfei Yu; Mengru Wang; Xixi Zhu; Yun Zhou 001 (CSAE, 2021)

The Vertical Cuckoo Filters: A Family of Insertion-friendly Sketches for Online Applications. - Pengtao Fu; Lailong Luo; Shangsen Li; Deke Guo; Geyao Cheng; Yun Zhou 001 (ICDCS, 2021)

Towards Stochastic Neural Network via Feature Distribution Calibration. - Hao Yang 042; Min Wang 034; Yun Zhou 001; Yongxin Yang (ICDM, 2021)

Biased Random-Key Genetic Algorithm for Structure Learning. - Baodan Sun; Yun Zhou 001 (ICSI (1), 2021)

A new PC-PSO algorithm for Bayesian network structure learning with structure priors. - Baodan Sun; Yun Zhou 001; Jianjiang Wang; Weiming Zhang 003 (Expert Syst. Appl., 2021)

Towards Robust Graph Convolution Network via Stochastic Activation. - Zhengfei Yu; Hao Yang 042; Lin Wang; Lijian Sun; Yun Zhou 001 (ICSI (2), 2022)

FedSPL: federated self-paced learning for privacy-preserving disease diagnosis. - Qingyong Wang; Yun Zhou 001 (Briefings Bioinform., 2022)

Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Yun Zhou 001 (CoRR, 2022)

M2SPL: Generative multiview features with adaptive meta-self-paced sampling for class-imbalance learning. - Qingyong Wang; Yun Zhou 001; Zehong Cao; Weiming Zhang 003 (Expert Syst. Appl., 2022)

Bayesian network structure learning with improved genetic algorithm. - Baodan Sun; Yun Zhou 001 (Int. J. Intell. Syst., 2022)

Arbitrary Style Transfer with Style Enhancement and Structure Retention. - Sijia Yang; Yun Zhou 001 (CGI, 2023)

Weight-based Regularization for Improving Robustness in Image Classification. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Yun Zhou 001 (ICME, 2023)

A Simple Stochastic Neural Network for Improving Adversarial Robustness. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Yun Zhou 001 (ICME, 2023)

CSAL: Cost sensitive active learning for multi-source drifting stream. - Hang Zhang 008; Weike Liu; Hao Yang 042; Yun Zhou 001; Cheng Zhu 002; Weiming Zhang 003 (Knowl. Based Syst., 2023)

A Shifting Filter Framework for Dynamic Set Queries. - Pengtao Fu; Lailong Luo; Deke Guo; Shangsen Li; Yun Zhou 001 (IEEE/ACM Trans. Netw., 2023)

Towards Test Time Adaptation via Calibrated Entropy Minimization. - Hao Yang 042; Min Wang 034; Jinshen Jiang; Yun Zhou 001 (KDD, 2024)

Balanced Confidence Calibration for Graph Neural Networks. - Hao Yang 042; Min Wang 034; Qi Wang 005; Mingrui Lao; Yun Zhou 001 (KDD, 2024)

Maximizing Feature Distribution Variance for Robust Neural Networks. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Zhi Zeng; Mingrui Lao; Yun Zhou 001 (ACM Multimedia, 2024)

Towards Test Time Domain Adaptation via Negative Label Smoothing. - Hao Yang 042; Hao Zuo; Rui Zhou; Min Wang 034; Yun Zhou 001 (Neurocomputing, 2024)

Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness. - Hao Yang 042; Min Wang 034; Qi Wang 005; Zhengfei Yu; Guangyin Jin; Chunlai Zhou; Yun Zhou 001 (Inf. Fusion, 2024)

Confidence-based and sample-reweighted test-time adaptation. - Hao Yang 042; Min Wang 034; Zhengfei Yu; Hang Zhang 008; Jinshen Jiang; Yun Zhou 001 (Knowl. Based Syst., 2024)

I know I don't know: an evidential deep learning framework for traffic classification. - Shangsen Li; Lailong Luo; Yun Zhou 001; Deke Guo; Xiang Xu (Frontiers Comput. Sci., 2024)

An Efficient Planning Method to Recommend COA Based on New Command and Control Organizational Structure Model. - Lijian Sun; Yun Zhou 001; Hanlin You; Cheng Zhu 002; Weiming Zhang 003 (IEEE Trans. Comput. Soc. Syst., 2024)

GraphVeri: A NAR-based control plane verification framework for routing protocols. - Shangsen Li; Lailong Luo; Changhao Qiu; Bangbang Ren; Yun Zhou 001; Deke Guo; Richard T. B. Ma (Comput. Networks, 2025)