A Modified Fuzzy C-Means Algorithm for Association Rules Clustering. - Dechang Pi; Xiaolin Qin; Peisen Yuan (ICIC (2), 2006)

GRAMS3: An Efficient Framework for XML Structural Similarity Search. - Peisen Yuan; Xiaoling Wang 004; Chaofeng Sha; Ming Gao 001; Aoying Zhou (DASFAA Workshops, 2010)

XML Structural Similarity Search Using MapReduce. - Peisen Yuan; Chaofeng Sha; Xiaoling Wang 004; Bin Yang 002; Aoying Zhou; Su Yang (WAIM, 2010)

Efficient Approximate Similarity Search Using Random Projection Learning. - Peisen Yuan; Chaofeng Sha; Xiaoling Wang 004; Bin Yang 002; Aoying Zhou (WAIM, 2011)

Hash ^ed -Join: Approximate String Similarity Join with Hashing. - Peisen Yuan; Chaofeng Sha; Yi Sun (DASFAA Workshops, 2014)

Approximate String Similarity Join using Hashing Techniques under Edit Distance Constraints. - Peisen Yuan; Haoyun Wang; Jianghua Che; Shougang Ren; Huanliang Xu; Dechang Pi (J. Softw., 2014)

Cloned Vehicle Behavior Analysis Framework. - Minxi Li; Jiali Mao; Xiaodong Qi; Peisen Yuan; Cheqing Jin (APWeb/WAIM (2), 2018)

Chrysanthemum Abnormal Petal Type Classification using Random Forest and Over-sampling. - Peisen Yuan; Shougang Ren; Huanliang Xu; Jin Chen 004 (BIBM, 2018)

An iterative paradigm of joint feature extraction and labeling for semi-supervised discriminant analysis. - Shougang Ren; Xingjian Gu; Peisen Yuan; Huanliang Xu (Neurocomputing, 2018)

基于多尺度空谱鉴别特征的高光谱图像分类 (Hyperspectral Image Classification Based on Multi-scale Discriminative Spatial-spectral Features). - Shougang Ren; Sheng Wan; Xingjian Gu; Haoyun Wang; Peisen Yuan; Huanliang Xu (计算机科学, 2018)

An End-to-End-Based Low Dimensional Binary Embedding for Chrysanthemum Phenotypic Petal Similarity Evaluation. - Peisen Yuan; Zhaoyu Zhai; José-Fernán Martínez; Huanliang Xu (IEEE Access, 2019)

Multi-view uncorrelated discriminant analysis via dependence maximization. - Xin Shu 007; Peisen Yuan; Haiyan Jiang; Darong Lai (Appl. Intell., 2019)

An efficient discrete invasive weed optimization for blocking flow-shop scheduling problem. - Zhongshi Shao; Dechang Pi; Weishi Shao; Peisen Yuan (Eng. Appl. Artif. Intell., 2019)

An indoor trajectory frequent pattern mining algorithm based on vague grid sequence. - Yi Chen; Peisen Yuan; Ming Qiu; Dechang Pi (Expert Syst. Appl., 2019)

MM-GAN: 3D MRI Data Augmentation for Medical Image Segmentation via Generative Adversarial Networks. - Yi Sun; Peisen Yuan; Yuming Sun (ICKG, 2020)

IM-Net: Semantic Segmentation Algorithm for Medical Images Based on Mutual Information Maximization. - Yi Sun; Peisen Yuan (KSEM (1), 2020)

Hybrid Segmentation Algorithm for Medical Image Segmentation Based on Generating Adversarial Networks, Mutual Information and Multi-Scale Information. - Yi Sun; Peisen Yuan; Yuming Sun; Zhaoyu Zhai (IEEE Access, 2020)

Enhancing Programming Knowledge Tracing by Interacting Programming Skills and Student Code. - Mengxia Zhu; Siqi Han; Peisen Yuan; Xuesong Lu (LAK, 2022)

Study of chrysanthemum image phenotype on-line classification based on transfer learning and bilinear convolutional neural network. - Peisen Yuan; Shuyun Qian; Zhaoyu Zhai; José-Fernán Martínez; Huangliang Xu (Comput. Electron. Agric., 2022)

Lightweight lotus phenotype recognition based on MobileNetV2-SE with reliable pseudo-labels. - Peisen Yuan; Zixin Chen; Qijiang Jin; Yingchun Xu; Huanliang Xu (Comput. Electron. Agric., 2025)