Fangyan Zhang

According to our database, Fangyan Zhang authored at least 12 papers between 2014 and 2026.

Collaborative distances:

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

2026

AdverFuse: robust fusion of multimodal images based on dynamic attention and adversarial learning.

Fangyan Zhang, Fan Zhang, Yingbing Liu, Fei Ma, Chunsheng Hu

Vis. Comput., April, 2026

2025

CAS-FGvit: an efficient convolutional additive mixer for fine-grained classification.

Fangyan Zhang, Pengju Wu, Chunsheng Hu, Wei An, Xiaojie Liang

Vis. Comput., 2025

2024

Enhanced Graph Structure Representation for Unsupervised Heterogeneous Change Detection.

Yuqi Tang, Xin Yang, Te Han, Fangyan Zhang, Bin Zou, Huihui Feng

Remote. Sens., February, 2024

2021

SE-DCGAN: a New Method of Semantic Image Restoration.

Fangyan Zhang, Xin Wang, Tongfeng Sun, Xinzheng Xu

Cogn. Comput., 2021

2019

A novel robust color image watermarking method using RGB correlations.

Fangyan Zhang, Ting Luo, Gangyi Jiang, Mei Yu, Haiyong Xu, Wujie Zhou

Multim. Tools Appl., 2019

Fish Density Estimation with Multi-Scale Context Enhanced Convolutional Neural Network.

Yizhi Zhou, Hong Yu, Junfeng Wu, Zhen Cui, Hongshuai Pang, Fangyan Zhang

J. Commun. Inf. Networks, 2019

Fish Behavior Analysis Based on Computer Vision: A Survey.

Yizhi Zhou, Hong Yu, Junfeng Wu, Zhen Cui, Fangyan Zhang

Proceedings of the Data Science, 2019

2018

Implementation and Evaluation of Distributed Graph Sampling Methods with Spark.

Fangyan Zhang, Song Zhang, Christopher Lightsey

Proceedings of the Visualization and Data Analysis 2018, Burlingame, CA, USA, 28 January 2018, 2018

BGS: A Large-Scale Graph Visualization Tool.

Fangyan Zhang, Song Zhang, Christopher Lightsey, Sarah Harun, Pak Chung Wong

Proceedings of the Visualization and Data Analysis 2018, Burlingame, CA, USA, 28 January 2018, 2018

2017

Botnet detection using graph-based feature clustering.

Sudipta Chowdhury, Mojtaba Khanzadeh, Ravi Akula, Fangyan Zhang, Song Zhang, Hugh R. Medal, Mohammad Marufuzzaman, Linkan Bian

J. Big Data, 2017

A Visual Evaluation Study of Graph Sampling Techniques.

Fangyan Zhang, Song Zhang, Pak Chung Wong, Hugh R. Medal, Linkan Bian, J. Edward Swan II, T. J. Jankun-Kelly

Proceedings of the Visualization and Data Analysis 2017, Burlingame, CA, USA, 29 January 2017, 2017

2014

Application of Data Mining Techniques in Universal Design.

Fangyan Zhang, Hao Liang

Proceedings of the 2014 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2014