Research of K-means Clustering Method Based on DNA Genetic Algorithm and P System. - Zhenni Jiang; Wenke Zang; Xiyu Liu 001 (HCC, 2016)

Customer Satisfaction Analysis Based on SVM. - Zhenni Jiang; Wenke Zang; Xiyu Liu 001 (HCC, 2016)

Improved Spectral Clustering Based on Density Combining DNA Genetic Algorithm. - Wenke Zang; Zhenni Jiang; Liyan Ren (Int. J. Pattern Recognit. Artif. Intell., 2017)

Fuzzy C-Means Clustering Problem Based on Improved DNA Genetic Algorithm and Point Density Weighting. - Zhenni Jiang; Xiyu Liu 001 (HCC, 2018)

Classification of MRI Brain Images Using DNA Genetic Algorithms Optimized Tsallis Entropy and Support Vector Machine. - Wenke Zang; Zehua Wang; Dong Jiang; Xiyu Liu 001; Zhenni Jiang (Entropy, 2018)

Novel coupled DP system for fuzzy C-means clustering and image segmentation. - Zhenni Jiang; Xiyu Liu 001 (Appl. Intell., 2020)

Adaptive KNN and graph-based auto-weighted multi-view consensus spectral learning. - Zhenni Jiang; Xiyu Liu 001 (Inf. Sci., 2022)

A kernel-based intuitionistic weight fuzzy k-modes algorithm using coupled chained P system combines DNA genetic rules for categorical data. - Zhenni Jiang; Xiyu Liu 001; Wenke Zang (Neurocomputing, 2023)

An effective two-stage auto-weighted multi-view consensus clustering via bipartite graph. - Zhenni Jiang; Hui Li; Xiyu Liu 001; Wenke Zang (Pattern Recognit., 2026)