Application of Data Mining Techniques in Universal Design. - Fangyan Zhang; Hao Liang (CyberC, 2014)

A Visual Evaluation Study of Graph Sampling Techniques. - Fangyan Zhang; Song Zhang 004; Pak Chung Wong; Hugh R. Medal; Linkan Bian; J. Edward Swan II; T. J. Jankun-Kelly (Visualization and Data Analysis, 2017)

Botnet detection using graph-based feature clustering. - Sudipta Chowdhury; Mojtaba Khanzadeh; Ravi Akula; Fangyan Zhang; Song Zhang 004; Hugh R. Medal; Mohammad Marufuzzaman; Linkan Bian (J. Big Data, 2017)

BGS: A Large-Scale Graph Visualization Tool. - Fangyan Zhang; Song Zhang 004; Christopher Lightsey; Sarah Harun; Pak Chung Wong (Visualization and Data Analysis, 2018)

Implementation and Evaluation of Distributed Graph Sampling Methods with Spark. - Fangyan Zhang; Song Zhang; Christopher Lightsey (Visualization and Data Analysis, 2018)

Fish Behavior Analysis Based on Computer Vision: A Survey. - Yizhi Zhou; Hong Yu 008; Junfeng Wu 002; Zhen Cui; Fangyan Zhang (ICPCSEE (2), 2019)

Fish Density Estimation with Multi-Scale Context Enhanced Convolutional Neural Network. - Yizhi Zhou; Hong Yu 008; Junfeng Wu 002; Zhen Cui; Hongshuai Pang; Fangyan Zhang (J. Commun. Inf. Networks, 2019)

A novel robust color image watermarking method using RGB correlations. - Fangyan Zhang; Ting Luo 001; Gangyi Jiang; Mei Yu 001; Haiyong Xu; Wujie Zhou (Multim. Tools Appl., 2019)

SE-DCGAN: a New Method of Semantic Image Restoration. - Fangyan Zhang; Xin Wang 144; Tongfeng Sun; Xinzheng Xu (Cogn. Comput., 2021)

Enhanced Graph Structure Representation for Unsupervised Heterogeneous Change Detection. - Yuqi Tang; Xin Yang; Te Han; Fangyan Zhang; Bin Zou; Huihui Feng (Remote. Sens., 2024)