Xudong Sun

According to our database, Xudong Sun authored at least 11 papers between 2018 and 2026.

Collaborative distances:

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

2026

Guest editorial: Mixture of experts and ensemble learning for big data.

Mohammad Sultan Mahmud, Diego García-Gil, Joshua Zhexue Huang, Alladoumbaye Ngueilbaye, Xudong Sun

Inf. Fusion, 2026

Enhancing query-based segmentation models with full-pixel integration for curvilinear object segmentation.

Qin Lei, Hao Wu, Jiang Zhong, Xin Xiao, Kaiwen Wei, Xudong Sun, Hanbo Bi, Mohammad Sultan Mahmud

Inf. Fusion, 2026

Approximate approach for frequent itemsets mining on massive distributed data beyond computing capacity.

Alladoumbaye Ngueilbaye, Sibagatullin Ratmir, Yongda Cai, Mohammad Sultan Mahmud, Xudong Sun, Andrey Nechesov, Sergey S. Goncharov, Joshua Zhexue Huang

Expert Syst. Appl., 2026

2025

Spectral ensemble clustering with doubly stochastic co-association matrix.

Yongda Cai, Mohammad Sultan Mahmud, Jingsheng Xu, Xudong Sun, Joshua Zhexue Huang

Inf. Sci., 2025

2024

A scalable and flexible basket analysis system for big transaction data in Spark.

Xudong Sun, Alladoumbaye Ngueilbaye, Kaijing Luo, Yongda Cai, Dingming Wu, Joshua Zhexue Huang

Inf. Process. Manag., March, 2024

CDFRS: A scalable sampling approach for efficient big data analysis.

Yongda Cai, Dingming Wu, Xudong Sun, Siyue Wu, Jingsheng Xu, Joshua Zhexue Huang

Inf. Process. Manag., 2024

Non-MapReduce computing for intelligent big data analysis.

Xudong Sun, Lingxiang Zhao, Jiaqi Chen, Yongda Cai, Dingming Wu, Joshua Zhexue Huang

Eng. Appl. Artif. Intell., 2024

Adaptive Neighbors Graph Learning for Large-Scale Data Clustering using Vector Quantization and Self-Regularization.

Yongda Cai, Joshua Zhexue Huang, Alladoumbaye Ngueilbaye, Xudong Sun

Appl. Soft Comput., 2024

2023

Survey of Distributed Computing Frameworks for Supporting Big Data Analysis.

Xudong Sun, Yulin He, Dingming Wu, Joshua Zhexue Huang

Big Data Min. Anal., June, 2023

2020

A Semi-supervised Joint Entity and Relation Extraction Model Based on Tagging Scheme and Information Gain.

Yonglin Zhao, Xudong Sun, Shuxin Wang, Jianwei He, Yanzhi Wei, Xianghua Fu

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2018

Weakly supervised topic sentiment joint model with word embeddings.

Xianghua Fu, Xudong Sun, Haiying Wu, Laizhong Cui, Joshua Zhexue Huang

Knowl. Based Syst., 2018