Haojun Sun

According to our database, Haojun Sun authored at least 18 papers between 2004 and 2024.

Collaborative distances:

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

2024

DeepGraFT: A novel semantic segmentation auxiliary ROI-based deep learning framework for effective fundus tessellation classification.

Yinghao Yao, Jiaying Yang, Haojun Sun, Hengte Kong, Sheng Wang, Ke Xu, Wei Dai, Siyi Jiang, Qingshi Bai, Shilai Xing, Jian Yuan, Xinting Liu, Fan Lu, Zhenhui Chen, Jia Qu, Jianzhong Su

Comput. Biol. Medicine, February, 2024

A dual fusion deep convolutional network for blind universal image denoising.

Zhiyu Lyu, Yan Chen, Haojun Sun, Yimin Hou

Signal Process. Image Commun., January, 2024

2022

Reliable Self-Supervised Information Mining for Deep Subspace Clustering.

Junjie Liang, Hang Gao, Haojun Sun, Rui Li, Cheng Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Modifiable Blockchain Based on Chebyshev Polynomial and Chameleon Hash Function.

Guizhong Xu, Haojun Sun

Proceedings of the Web Information Systems and Applications, 2022

2021

Dynamic order Markov model for categorical sequence clustering.

Rongbo Chen, Haojun Sun, Lifei Chen, Jianfei Zhang, Shengrui Wang

J. Big Data, 2021

Sleep Analysis During Light Sleep Based on K-means Clustering and BiLSTM.

Jiamin Xu, Haojun Sun

Proceedings of the Web Information Systems and Applications, 2021

2018

Using triangles and latent factor cosine similarity prior to improve community detection in multi-relational social networks.

Jianzhou Zhan, Mei Sun, Huidan Wu, Haojun Sun

Concurr. Comput. Pract. Exp., 2018

2017

Holo-Entropy Based Categorical Data Hierarchical Clustering.

Haojun Sun, Rongbo Chen, Yong Qin, Shengrui Wang

Informatica, 2017

2015

A Hierarchical Clustering for Categorical Data Based on Holo-Entropy.

Haojun Sun, Rongbo Chen, Shulin Jin, Yong Qin

Proceedings of the 12th Web Information System and Application Conference, 2015

2012

A New Item Clustering-Based Collaborative Filtering Approach.

Haojun Sun, Tao Wu, Meijuan Yan, Yunxia Wu

Proceedings of the Ninth Web Information Systems and Applications Conference, 2012

2011

Measuring the component overlapping in the Gaussian mixture model.

Haojun Sun, Shengrui Wang

Data Min. Knowl. Discov., 2011

Clustering-Based Touching-Cells Division.

Haojun Sun, Qingnan Zeng

Proceedings of the 8th Web Information Systems and Applications Conference, 2011

2009

A GA-Based Feature Selection for High-Dimensional Data Clustering.

Mei Sun, Langhuan Xiong, Haojun Sun, Dazhi Jiang

Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009

2008

A Document Clustering Method Based on Hierarchical Algorithm with Model Clustering.

Haojun Sun, Zhihui Liu, Lingjun Kong

Proceedings of the 22nd International Conference on Advanced Information Networking and Applications, 2008

2006

An objective approach to cluster validation.

Mohamed Bouguessa, Shengrui Wang, Haojun Sun

Pattern Recognit. Lett., 2006

2005

Trail-and-Error Approach for Determining the Number of Clusters.

Haojun Sun, Mei Sun

Proceedings of the Advances in Machine Learning and Cybernetics, 2005

2004

FCM-Based Model Selection Algorithms for Determining the Number of Clusters.

Haojun Sun, Shengrui Wang, Qingshan Jiang

Pattern Recognit., 2004

Distinguishing between overlapping components in mixture models.

Haojun Sun, Shengrui Wang

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004