Semi-supervised Feature Extraction for RNA-Seq Data Analysis. - Jin-Xing Liu 001; Yong Xu 001; Ying-Lian Gao; Dong Wang 019; Chun-Hou Zheng 001; Junliang Shang (ICIC (3), 2015)

Graph Regularized Non-negative Matrix with L0-Constraints for Selecting Characteristic Genes. - Chun-Xia Ma; Ying-Lian Gao; Dong Wang 019; Jian Liu; Jin-Xing Liu 001 (ICIC (2), 2015)

Application of Graph Regularized Non-negative Matrix Factorization in Characteristic Gene Selection. - Dong Wang 019; Ying-Lian Gao; Jin-Xing Liu 001; Jiguo Yu; Chang-Gang Wen (ICIC (2), 2015)

A Simple Review of Sparse Principal Components Analysis. - Chun-Mei Feng 001; Ying-Lian Gao; Jin-Xing Liu 001; Chun-Hou Zheng 001; Shengjun Li; Dong Wang 019 (ICIC (2), 2016)

A Class-Information-Based Sparse Component Analysis Method to Identify Differentially Expressed Genes on RNA-Seq Data. - Jin-Xing Liu 001; Yong Xu 001; Ying-Lian Gao; Chun-Hou Zheng 001; Dong Wang 019; Qi Zhu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

Characteristic Gene Selection Based on Robust Graph Regularized Non-Negative Matrix Factorization. - Dong Wang 019; Jin-Xing Liu 001; Ying-Lian Gao; Chun-Hou Zheng 001; Yong Xu 001 (IEEE ACM Trans. Comput. Biol. Bioinform., 2016)

A joint-L2, 1-norm-constraint-based semi-supervised feature extraction for RNA-Seq data analysis. - Jin-Xing Liu 001; Dong Wang 019; Ying-Lian Gao; Chun-Hou Zheng 001; Junliang Shang; Feng Liu 013; Yong Xu 001 (Neurocomputing, 2017)

Regularized Non-Negative Matrix Factorization for Identifying Differentially Expressed Genes and Clustering Samples: A Survey. - Jin-Xing Liu 001; Dong Wang 019; Ying-Lian Gao; Chun-Hou Zheng 001; Yong Xu 001; Jiguo Yu (IEEE ACM Trans. Comput. Biol. Bioinform., 2018)

Impact of inaccurate data on Differential Privacy. - Dong Wang 019; Zhengquan Xu (Comput. Secur., 2019)

SDoS: Selfish Mining-Based Denial-of-Service Attack. - Qiuhua Wang; Tianyu Xia; Dong Wang 019; Yizhi Ren; Gongxun Miao; Kim-Kwang Raymond Choo (IEEE Trans. Inf. Forensics Secur., 2022)

Privacy-Preserving Travel Time Prediction With Uncertainty Using GPS Trace Data. - Fang Liu 006; Dong Wang 019; Zhengquan Xu (IEEE Trans. Mob. Comput., 2023)

Unstoppable Attack: Label-Only Model Inversion Via Conditional Diffusion Model. - Rongke Liu; Dong Wang 019; Yizhi Ren; Zhen Wang 013; Kaitian Guo; Qianqian Qin; Xiaolei Liu 001 (IEEE Trans. Inf. Forensics Secur., 2024)

Optimal Selfish Mining-Based Denial-of-Service Attack. - Qiuhua Wang; Chengyu Li; Tianyu Xia; Yizhi Ren; Dong Wang 019; Guoyan Zhang; Kim-Kwang Raymond Choo (IEEE Trans. Inf. Forensics Secur., 2024)

Differential Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage. - Weifeng Yin; Lifeng Yuan; Yizhi Ren; Weizhi Meng 001; Dong Wang 019; Qiuhua Wang (IEEE Trans. Inf. Forensics Secur., 2024)

Defending Against Data and Model Backdoor Attacks in Federated Learning. - Hao Wang; Xuejiao Mu; Dong Wang 019; Qiang Xu 007; Kaiju Li (IEEE Internet Things J., 2024)

Deep learning techniques for DDoS attack detection: Concepts, analyses, challenges, and future directions. - Xingbing Fu; Supeng Lou; Jiaming Zheng; Cheng Chi; Jie Yang 048; Dong Wang 019; Chenming Zhu; Butian Huang; Xiatian Zhu (Expert Syst. Appl., 2025)