Dong Wang

According to our database, Dong Wang authored at least 16 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Deep learning techniques for DDoS attack detection: Concepts, analyses, challenges, and future directions.

Xingbing Fu, Supeng Lou, Jiaming Zheng, Cheng Chi, Jie Yang, Dong Wang, Chenming Zhu, Butian Huang, Xiatian Zhu

Expert Syst. Appl., 2025

2024

Defending Against Data and Model Backdoor Attacks in Federated Learning.

Hao Wang, Xuejiao Mu, Dong Wang, Qiang Xu, Kaiju Li

IEEE Internet Things J., December, 2024

Differential Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage.

Weifeng Yin, Lifeng Yuan, Yizhi Ren, Weizhi Meng, Dong Wang, Qiuhua Wang

IEEE Trans. Inf. Forensics Secur., 2024

Optimal Selfish Mining-Based Denial-of-Service Attack.

Qiuhua Wang, Chengyu Li, Tianyu Xia, Yizhi Ren, Dong Wang, Guoyan Zhang, Kim-Kwang Raymond Choo

IEEE Trans. Inf. Forensics Secur., 2024

Unstoppable Attack: Label-Only Model Inversion Via Conditional Diffusion Model.

Rongke Liu, Dong Wang, Yizhi Ren, Zhen Wang, Kaitian Guo, Qianqian Qin, Xiaolei Liu

IEEE Trans. Inf. Forensics Secur., 2024

2023

Privacy-Preserving Travel Time Prediction With Uncertainty Using GPS Trace Data.

Fang Liu, Dong Wang, Zhengquan Xu

IEEE Trans. Mob. Comput., 2023

2022

SDoS: Selfish Mining-Based Denial-of-Service Attack.

Qiuhua Wang, Tianyu Xia, Dong Wang, Yizhi Ren, Gongxun Miao, Kim-Kwang Raymond Choo

IEEE Trans. Inf. Forensics Secur., 2022

2019

Impact of inaccurate data on Differential Privacy.

Dong Wang, Zhengquan Xu

Comput. Secur., 2019

2018

Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey.

Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu, Jiguo Yu

IEEE ACM Trans. Comput. Biol. Bioinform., 2018

2017

A joint-L_{2, 1}-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis.

Jin-Xing Liu, Dong Wang, Ying-Lian Gao, Chun-Hou Zheng, Junliang Shang, Feng Liu, Yong Xu

Neurocomputing, 2017

2016

Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization.

Dong Wang, Jin-Xing Liu, Ying-Lian Gao, Chun-Hou Zheng, Yong Xu

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data.

Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Chun-Hou Zheng, Dong Wang, Qi Zhu

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

A Simple Review of Sparse Principal Components Analysis.

Chun-Mei Feng, Ying-Lian Gao, Jin-Xing Liu, Chun-Hou Zheng, Shengjun Li, Dong Wang

Proceedings of the Intelligent Computing Theories and Application, 2016

2015

Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection.

Dong Wang, Ying-Lian Gao, Jin-Xing Liu, Jiguo Yu, Chang-Gang Wen

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes.

Chun-Xia Ma, Ying-Lian Gao, Dong Wang, Jian Liu, Jin-Xing Liu

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Semi-supervised Feature Extraction for RNA-Seq Data Analysis.

Jin-Xing Liu, Yong Xu, Ying-Lian Gao, Dong Wang, Chun-Hou Zheng, Junliang Shang

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015