Yun Zhou

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 37

Top Venues

Queen Mary University of London, UK (PHD)

Education History

Queen Mary University of London, UK

PHD

Publications

Hao Yang, Min Wang, Jinshen Jiang, Yun Zhou
Towards Test Time Adaptation via Calibrated Entropy Minimization. KDD (2024)
Hao Yang, Min Wang, Qi Wang, Mingrui Lao, Yun Zhou
Balanced Confidence Calibration for Graph Neural Networks. KDD (2024)
Hao Yang, Min Wang, Qi Wang, Zhengfei Yu, Guangyin Jin, Chunlai Zhou, Yun Zhou
Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness. Inf. Fusion 108 (2024)
Shangsen Li, Lailong Luo, Yun Zhou, Deke Guo, Xiang Xu
I know I don't know: an evidential deep learning framework for traffic classification. Frontiers Comput. Sci. 18 (5) (2024)
Hang Zhang, Weike Liu, Hao Yang, Yun Zhou, Cheng Zhu, Weiming Zhang
CSAL: Cost sensitive active learning for multi-source drifting stream. Knowl. Based Syst. 277 (2023)
Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou
A Simple Stochastic Neural Network for Improving Adversarial Robustness. ICME (2023)
Sijia Yang, Yun Zhou
Arbitrary Style Transfer with Style Enhancement and Structure Retention. CGI (2023)
Pengtao Fu, Lailong Luo, Deke Guo, Shangsen Li, Yun Zhou
A Shifting Filter Framework for Dynamic Set Queries. IEEE/ACM Trans. Netw. 31 (5) (2023)
Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou
Weight-based Regularization for Improving Robustness in Image Classification. ICME (2023)
Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou
Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness. CoRR (2022)
Zhengfei Yu, Hao Yang, Lin Wang, Lijian Sun, Yun Zhou
Towards Robust Graph Convolution Network via Stochastic Activation. ICSI (2) (2022)
Baodan Sun, Yun Zhou
Bayesian network structure learning with improved genetic algorithm. Int. J. Intell. Syst. 37 (9) (2022)
Qingyong Wang, Yun Zhou, Zehong Cao, Weiming Zhang
SPL: Generative multiview features with adaptive meta-self-paced sampling for class-imbalance learning. Expert Syst. Appl. 189 (2022)
Hao Yang, Min Wang, Yun Zhou, Yongxin Yang
Towards Stochastic Neural Network via Feature Distribution Calibration. ICDM (2021)
Baodan Sun, Yun Zhou, Jianjiang Wang, Weiming Zhang
A new PC-PSO algorithm for Bayesian network structure learning with structure priors. Expert Syst. Appl. 184 (2021)
Lin Wang, Zhengfei Yu, Mengru Wang, Xixi Zhu, Yun Zhou
MOOC Dropout Prediction Based on Dynamic Embedding Representation Learning. CSAE (2021)
Baodan Sun, Yun Zhou
Biased Random-Key Genetic Algorithm for Structure Learning. ICSI (1) (2021)
Kaiming Xiao, Cheng Zhu, Junjie Xie, Yun Zhou, Xianqiang Zhu, Weiming Zhang
Dynamic Defense against Stealth Malware Propagation in Cyber-Physical Systems: A Game-Theoretical Framework. Entropy 22 (8) (2020)
Qing Cheng, Yun Zhou, Yanghe Feng, Zhong Liu
An unsupervised ensemble framework for node anomaly behavior detection in social network. Soft Comput. 24 (9) (2020)
Lijian Sun, Yun Zhou, Yanjuan Wang, Cheng Zhu, Weiming Zhang
The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling. IEEE Access 8 (2020)
Qingyong Wang, Yun Zhou, Weiming Zhang, Zhangui Tang, Xiaojing Chen
Adaptive sampling using self-paced learning for imbalanced cancer data pre-diagnosis. Expert Syst. Appl. 152 (2020)
Lijian Sun, Yun Zhou
FSPMTL: Flexible Self-Paced Multi-Task Learning. IEEE Access 8 (2020)
Zhengfei Yu, Yun Zhou, Weiming Zhang
How Can We Deal With Adversarial Examples? ICACI (2020)
Lijian Sun, Yun Zhou
MVDT-SI: A Multi-View Double-Triangle Algorithm for Star Identification. Sensors 20 (11) (2020)
Yun Zhou, Peichao Wang
An ensemble learning approach for XSS attack detection with domain knowledge and threat intelligence. Comput. Secur. 82 (2019)
Peichao Wang, Yun Zhou, Baodan Sun, Weiming Zhang
Intelligent Prediction of Vulnerability Severity Level Based on Text Mining and XGBboost. ICACI (2019)
Yunfei Wang, Luohao Tang, Yun Zhou, Cheng Zhu, Weiming Zhang, Lianfei Yu
Bottleneck Identification of Extended Flexible Job Shop Scheduling Problem. ISCBI (2018)
Xiaofeng Cao, Yuhua Zhong, Yun Zhou, Jiang Wang, Cheng Zhu, Weiming Zhang
Interactive Temporal Recurrent Convolution Network for Traffic Prediction in Data Centers. IEEE Access 6 (2018)
Yun Zhou, Cheng Zhu, Luohao Tang, Weiming Zhang, Peichao Wang
Cyber Security Inference Based on a Two-Level Bayesian Network Framework. SMC (2018)
Jiang Wang, Cheng Zhu, Yun Zhou, Xianqiang Zhu, Yilin Wang, Weiming Zhang
From Partition-Based Clustering to Density-Based Clustering: Fast Find Clusters With Diverse Shapes and Densities in Spatial Databases. IEEE Access 6 (2018)
Kaiming Xiao, Cheng Zhu, Junjie Xie, Yun Zhou, Xianqiang Zhu, Weiming Zhang
Dynamic Defense Strategy against Stealth Malware Propagation in Cyber-Physical Systems. INFOCOM (2018)
Peichao Wang, Yun Zhou, Cheng Zhu, Ruiqi Yue
Role classification with netflow data in intranet. ICACI (2018)
Yun Zhou, Jiang Wang, Cheng Zhu, Weiming Zhang
Multiple DAGs Learning with Non-negative Matrix Factorization. AMBN (2017)
Peichao Wang, Yun Zhou, Jiang Wang, Cheng Zhu, Chao Chen, Weiming Zhang
A framework for key element evaluation of combat system. SMC (2017)
Jiang Wang, Yun Zhou, Xiaofeng Cao, Yilin Wang, Cheng Zhu, Weiming Zhang
Shape-Based Analysis for Vessel Trajectories. SIGSPATIAL/GIS (2017)
Yun Zhou, Timothy M. Hospedales, Norman E. Fenton
When and where to transfer for Bayesian network parameter learning. Expert Syst. Appl. 55 (2016)
Yun Zhou, Norman E. Fenton, Cheng Zhu
An empirical study of Bayesian network parameter learning with monotonic influence constraints. Decis. Support Syst. 87 (2016)
Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil
Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. UAI (2015)
Yun Zhou, Norman E. Fenton, Martin Neil
Bayesian network approach to multinomial parameter learning using data and expert judgments. Int. J. Approx. Reason. 55 (5) (2014)
Yun Zhou, Norman E. Fenton, Martin Neil
An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints. Probabilistic Graphical Models (2014)
Yun Zhou, Norman E. Fenton, Martin Neil, Cheng Zhu
Incorporating Expert Judgement into Bayesian Network Machine Learning. IJCAI (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yun Zhou