Weakly supervised topic sentiment joint model with word embeddings. - Xianghua Fu; Xudong Sun 004; Haiying Wu; Laizhong Cui; Joshua Zhexue Huang (Knowl. Based Syst., 2018)

A Semi-supervised Joint Entity and Relation Extraction Model Based on Tagging Scheme and Information Gain. - Yonglin Zhao; Xudong Sun 004; Shuxin Wang; Jianwei He; Yanzhi Wei; Xianghua Fu (ICA3PP (2), 2020)

Survey of Distributed Computing Frameworks for Supporting Big Data Analysis. - Xudong Sun 004; Yulin He; Dingming Wu 001; Joshua Zhexue Huang (Big Data Min. Anal., 2023)

Adaptive Neighbors Graph Learning for Large-Scale Data Clustering using Vector Quantization and Self-Regularization. - Yongda Cai; Joshua Zhexue Huang; Alladoumbaye Ngueilbaye; Xudong Sun 004 (Appl. Soft Comput., 2024)

Non-MapReduce computing for intelligent big data analysis. - Xudong Sun 004; Lingxiang Zhao; Jiaqi Chen; Yongda Cai; Dingming Wu 001; Joshua Zhexue Huang (Eng. Appl. Artif. Intell., 2024)

CDFRS: A scalable sampling approach for efficient big data analysis. - Yongda Cai; Dingming Wu 001; Xudong Sun 004; Siyue Wu; Jingsheng Xu; Joshua Zhexue Huang (Inf. Process. Manag., 2024)

A scalable and flexible basket analysis system for big transaction data in Spark. - Xudong Sun 004; Alladoumbaye Ngueilbaye; Kaijing Luo; Yongda Cai; Dingming Wu 001; Joshua Zhexue Huang (Inf. Process. Manag., 2024)

Spectral ensemble clustering with doubly stochastic co-association matrix. - Yongda Cai; Mohammad Sultan Mahmud; Jingsheng Xu; Xudong Sun 004; Joshua Zhexue Huang (Inf. Sci., 2025)