Distinguishing between overlapping components in mixture models. - Haojun Sun; Shengrui Wang (Neural Networks and Computational Intelligence, 2004)

FCM-Based Model Selection Algorithms for Determining the Number of Clusters. - Haojun Sun; Shengrui Wang; Qingshan Jiang (Pattern Recognit., 2004)

Trail-and-Error Approach for Determining the Number of Clusters. - Haojun Sun; Mei Sun (ICMLC, 2005)

An objective approach to cluster validation. - Mohamed Bouguessa; Shengrui Wang; Haojun Sun (Pattern Recognit. Lett., 2006)

A Document Clustering Method Based on Hierarchical Algorithm with Model Clustering. - Haojun Sun; Zhihui Liu; Lingjun Kong (AINA Workshops, 2008)

A GA-Based Feature Selection for High-Dimensional Data Clustering. - Mei Sun; Langhuan Xiong; Haojun Sun; Dazhi Jiang (WGEC, 2009)

Clustering-Based Touching-Cells Division. - Haojun Sun; Qingnan Zeng (WISA, 2011)

Measuring the component overlapping in the Gaussian mixture model. - Haojun Sun; Shengrui Wang (Data Min. Knowl. Discov., 2011)

A New Item Clustering-Based Collaborative Filtering Approach. - Haojun Sun; Tao Wu; Meijuan Yan; Yunxia Wu (WISA, 2012)

A Hierarchical Clustering for Categorical Data Based on Holo-Entropy. - Haojun Sun; Rongbo Chen; Shulin Jin; Yong Qin 002 (IEEE WISA, 2015)

Holo-Entropy Based Categorical Data Hierarchical Clustering. - Haojun Sun; Rongbo Chen; Yong Qin 002; Shengrui Wang (Informatica, 2017)

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)

Sleep Analysis During Light Sleep Based on K-means Clustering and BiLSTM. - Jiamin Xu; Haojun Sun (WISA, 2021)

Dynamic order Markov model for categorical sequence clustering. - Rongbo Chen; Haojun Sun; Lifei Chen; Jianfei Zhang 002; Shengrui Wang (J. Big Data, 2021)

Modifiable Blockchain Based on Chebyshev Polynomial and Chameleon Hash Function. - Guizhong Xu; Haojun Sun (WISA, 2022)

Reliable Self-Supervised Information Mining for Deep Subspace Clustering. - Junjie Liang; Hang Gao; Haojun Sun; Rui Li 045; Cheng Liu 001 (ICME, 2022)

RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation. - Wei Dai; Yinghao Yao; Hengte Kong; Zhen Ji Chen; Sheng Wang 016; Qingshi Bai; Haojun Sun; Yongxin Yang; Jianzhong Su (MICCAI (1), 2024)

TMPQ-DM: Joint Timestep Reduction and Quantization Precision Selection for Efficient Diffusion Models. - Haojun Sun; Chen Tang; Zhi Wang 001; Yuan Meng; Jingyan Jiang; Xinzhu Ma; Wenwu Zhu 001 (CoRR, 2024)

Monocular vehicle speed detection based on improved YOLOX and DeepSORT. - Kaiyu Zhang; Fei Wu 006; Haojun Sun; Meiyu Cai (Neural Comput. Appl., 2024)

A dual fusion deep convolutional network for blind universal image denoising. - Zhiyu Lyu; Yan Chen; Haojun Sun; Yimin Hou (Signal Process. Image Commun., 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 016; Ke Xu; Wei Dai; Siyi Jiang; Qingshi Bai; Shilai Xing; Jian Yuan; Xinting Liu; et al. (Comput. Biol. Medicine, 2024)