Yun Zhou - RankMe

57 papers A* 6A 4B 3C 1Journal 30Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	COLA: Context-Aware Language-Driven Test-Time Adaptation. IEEE Trans. Image Process. Aiming Zhang, Tianyuan Yu, Liang Bai, Jun Tang, Yanming Guo, Yirun Ruan, Yun Zhou, Zhihe Lu
2025	J	`jnl`	COLA: Context-aware Language-driven Test-time Adaptation. CoRR Aiming Zhang, Tianyuan Yu, Liang Bai, Jun Tang, Yanming Guo, Yirun Ruan, Yun Zhou, Zhihe Lu
2025	J	`jnl`	GraphVeri: A NAR-based control plane verification framework for routing protocols. Comput. Networks Shangsen Li, Lailong Luo, Changhao Qiu, Bangbang Ren, Yun Zhou, Deke Guo, Richard T. B. Ma
2024	J	`jnl`	An Efficient Planning Method to Recommend COA Based on New Command and Control Organizational Structure Model. IEEE Trans. Comput. Soc. Syst. Lijian Sun, Yun Zhou, Hanlin You, Cheng Zhu, Weiming Zhang
2024	A*	`conf`	Balanced Confidence Calibration for Graph Neural Networks. KDD Hao Yang, Min Wang, Qi Wang, Mingrui Lao, Yun Zhou
2024	J	`jnl`	Bayesian network structure learning with a new ensemble weights and edge constraints setting mechanism. Complex Intell. Syst. Kaiyue Liu, Yun Zhou, Hongbin Huang
2024	J	`jnl`	Confidence-based and sample-reweighted test-time adaptation. Knowl. Based Syst. Hao Yang, Min Wang, Zhengfei Yu, Hang Zhang, Jinshen Jiang, Yun Zhou
2024	J	`jnl`	I know I don't know: an evidential deep learning framework for traffic classification. Frontiers Comput. Sci. Shangsen Li, Lailong Luo, Yun Zhou, Deke Guo, Xiang Xu
2024	A*	`conf`	Maximizing Feature Distribution Variance for Robust Neural Networks. ACM Multimedia Hao Yang, Min Wang, Zhengfei Yu, Zhi Zeng, Mingrui Lao, Yun Zhou
2024	J	`jnl`	Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness. Inf. Fusion Hao Yang, Min Wang, Qi Wang, Zhengfei Yu, Guangyin Jin, Chunlai Zhou, Yun Zhou
2024	A*	`conf`	Towards Test Time Adaptation via Calibrated Entropy Minimization. KDD Hao Yang, Min Wang, Jinshen Jiang, Yun Zhou
2024	J	`jnl`	Towards Test Time Domain Adaptation via Negative Label Smoothing. Neurocomputing Hao Yang, Hao Zuo, Rui Zhou, Min Wang, Yun Zhou
2023	J	`jnl`	A Shifting Filter Framework for Dynamic Set Queries. IEEE/ACM Trans. Netw. Pengtao Fu, Lailong Luo, Deke Guo, Shangsen Li, Yun Zhou
2023	A	`conf`	A Simple Stochastic Neural Network for Improving Adversarial Robustness. ICME Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou
2023	C	`conf`	Arbitrary Style Transfer with Style Enhancement and Structure Retention. CGI Sijia Yang, Yun Zhou
2023	J	`jnl`	CSAL: Cost sensitive active learning for multi-source drifting stream. Knowl. Based Syst. Hang Zhang, Weike Liu, Hao Yang, Yun Zhou, Cheng Zhu, Weiming Zhang
2023	A	`conf`	Weight-based Regularization for Improving Robustness in Image Classification. ICME Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou
2022	J	`jnl`	Bayesian network structure learning with improved genetic algorithm. Int. J. Intell. Syst. Baodan Sun, Yun Zhou
2022	J	`jnl`	FedSPL: federated self-paced learning for privacy-preserving disease diagnosis. Briefings Bioinform. Qingyong Wang, Yun Zhou
2022	J	`jnl`	M Expert Syst. Appl. Qingyong Wang, Yun Zhou, Zehong Cao, Weiming Zhang
2022	J	`jnl`	Rethinking Feature Uncertainty in Stochastic Neural Networks for Adversarial Robustness. CoRR Hao Yang, Min Wang, Zhengfei Yu, Yun Zhou
2022	—	`conf`	Towards Robust Graph Convolution Network via Stochastic Activation. ICSI (2) Zhengfei Yu, Hao Yang, Lin Wang, Lijian Sun, Yun Zhou
2021	J	`jnl`	A new PC-PSO algorithm for Bayesian network structure learning with structure priors. Expert Syst. Appl. Baodan Sun, Yun Zhou, Jianjiang Wang, Weiming Zhang
2021	—	`conf`	Biased Random-Key Genetic Algorithm for Structure Learning. ICSI (1) Baodan Sun, Yun Zhou
2021	—	`conf`	MOOC Dropout Prediction Based on Dynamic Embedding Representation Learning. CSAE Lin Wang, Zhengfei Yu, Mengru Wang, Xixi Zhu, Yun Zhou
2021	A	`conf`	The Vertical Cuckoo Filters: A Family of Insertion-friendly Sketches for Online Applications. ICDCS Pengtao Fu, Lailong Luo, Shangsen Li, Deke Guo, Geyao Cheng, Yun Zhou
2021	A*	`conf`	Towards Stochastic Neural Network via Feature Distribution Calibration. ICDM Hao Yang, Min Wang, Yun Zhou, Yongxin Yang
2020	J	`jnl`	Adaptive sampling using self-paced learning for imbalanced cancer data pre-diagnosis. Expert Syst. Appl. Qingyong Wang, Yun Zhou, Weiming Zhang, Zhangui Tang, Xiaojing Chen
2020	J	`jnl`	An unsupervised ensemble framework for node anomaly behavior detection in social network. Soft Comput. Qing Cheng, Yun Zhou, Yanghe Feng, Zhong Liu
2020	J	`jnl`	Dynamic Defense against Stealth Malware Propagation in Cyber-Physical Systems: A Game-Theoretical Framework. Entropy Kaiming Xiao, Cheng Zhu, Junjie Xie, Yun Zhou, Xianqiang Zhu, Weiming Zhang
2020	J	`jnl`	FSPMTL: Flexible Self-Paced Multi-Task Learning. IEEE Access Lijian Sun, Yun Zhou
2020	—	`conf`	How Can We Deal With Adversarial Examples? ICACI Zhengfei Yu, Yun Zhou, Weiming Zhang
2020	B	`conf`	IDA-GAN: A Novel Imbalanced Data Augmentation GAN. ICPR Hao Yang, Yun Zhou
2020	J	`jnl`	MVDT-SI: A Multi-View Double-Triangle Algorithm for Star Identification. Sensors Lijian Sun, Yun Zhou
2020	J	`jnl`	Random Forest with Self-Paced Bootstrap Learning in Lung Cancer Prognosis. ACM Trans. Multim. Comput. Commun. Appl. Qingyong Wang, Yun Zhou, Weiping Ding, Zhiguo Zhang, Khan Muhammad, Zehong Cao
2020	J	`jnl`	The Effective Methods for Intrusion Detection With Limited Network Attack Data: Multi-Task Learning and Oversampling. IEEE Access Lijian Sun, Yun Zhou, Yanjuan Wang, Cheng Zhu, Weiming Zhang
2019	J	`jnl`	An ensemble learning approach for XSS attack detection with domain knowledge and threat intelligence. Comput. Secur. Yun Zhou, Peichao Wang
2019	—	`conf`	Intelligent Prediction of Vulnerability Severity Level Based on Text Mining and XGBboost. ICACI Peichao Wang, Yun Zhou, Baodan Sun, Weiming Zhang
2018	—	`conf`	Bottleneck Identification of Extended Flexible Job Shop Scheduling Problem. ISCBI Yunfei Wang, Luohao Tang, Yun Zhou, Cheng Zhu, Weiming Zhang, Lianfei Yu
2018	B	`conf`	Cyber Security Inference Based on a Two-Level Bayesian Network Framework. SMC Yun Zhou, Cheng Zhu, Luohao Tang, Weiming Zhang, Peichao Wang
2018	A*	`conf`	Dynamic Defense Strategy against Stealth Malware Propagation in Cyber-Physical Systems. INFOCOM Kaiming Xiao, Cheng Zhu, Junjie Xie, Yun Zhou, Xianqiang Zhu, Weiming Zhang
2018	J	`jnl`	From Partition-Based Clustering to Density-Based Clustering: Fast Find Clusters With Diverse Shapes and Densities in Spatial Databases. IEEE Access Jiang Wang, Cheng Zhu, Yun Zhou, Xianqiang Zhu, Yilin Wang, Weiming Zhang
2018	J	`jnl`	Interactive Temporal Recurrent Convolution Network for Traffic Prediction in Data Centers. IEEE Access Xiaofeng Cao, Yuhua Zhong, Yun Zhou, Jiang Wang, Cheng Zhu, Weiming Zhang
2018	—	`conf`	Role classification with netflow data in intranet. ICACI Peichao Wang, Yun Zhou, Cheng Zhu, Ruiqi Yue
2018	—	`conf`	Semi-Supervised Learning with Ensemble Self-Training for Cancer Classification. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Qing-Yong Wang, Liang-Yong Xia, Hua Chai, Yun Zhou
2017	B	`conf`	A framework for key element evaluation of combat system. SMC Peichao Wang, Yun Zhou, Jiang Wang, Cheng Zhu, Chao Chen, Weiming Zhang
2017	J	`jnl`	Improving Record Linkage Accuracy with Hierarchical Feature Level Information and Parsed Data. New Gener. Comput. Yun Zhou, Minlue Wang, Valeriia Haberland, John Howroyd, Sebastian Danicic, J. Mark Bishop
2017	—	`conf`	Multiple DAGs Learning with Non-negative Matrix Factorization. AMBN Yun Zhou, Jiang Wang, Cheng Zhu, Weiming Zhang
2017	—	`conf`	Shape-Based Analysis for Vessel Trajectories. SIGSPATIAL/GIS Jiang Wang, Yun Zhou, Xiaofeng Cao, Yilin Wang, Cheng Zhu, Weiming Zhang
2016	J	`jnl`	An empirical study of Bayesian network parameter learning with monotonic influence constraints. Decis. Support Syst. Yun Zhou, Norman E. Fenton, Cheng Zhu
2016	J	`jnl`	When and where to transfer for Bayesian network parameter learning. Expert Syst. Appl. Yun Zhou, Timothy M. Hospedales, Norman E. Fenton
2015	—	`conf`	Extending Naive Bayes Classifier with Hierarchy Feature Level Information for Record Linkage. AMBN@JSAI-isAI Yun Zhou, John Howroyd, Sebastian Danicic, J. Mark Bishop
2015	—	`—`	New techniques for learning parameters in Bayesian networks. Yun Zhou
2015	A	`conf`	Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints. UAI Yun Zhou, Norman E. Fenton, Timothy M. Hospedales, Martin Neil
2014	—	`conf`	An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints. Probabilistic Graphical Models Yun Zhou, Norman E. Fenton, Martin Neil
2014	J	`jnl`	Bayesian network approach to multinomial parameter learning using data and expert judgments. Int. J. Approx. Reason. Yun Zhou, Norman E. Fenton, Martin Neil
2013	A*	`conf`	Incorporating Expert Judgement into Bayesian Network Machine Learning. IJCAI Yun Zhou, Norman E. Fenton, Martin Neil, Cheng Zhu