A review of improved extreme learning machine methods for data stream classification. - Li Li 059; Ruizhi Sun; Saihua Cai; Kaiyi Zhao; Qianqian Zhang 003 (Multim. Tools Appl., 2019)

Extreme Learning Machine for Supervised Classification with Self-paced Learning. - Li Li 059; Kaiyi Zhao; Sicong Li; Ruizhi Sun; Saihua Cai (Neural Process. Lett., 2020)

Parameter-Free Extreme Learning Machine for Imbalanced Classification. - Li Li 059; Kaiyi Zhao; Ruizhi Sun; Jiangzhang Gan; Gang Yuan; Tong Liu (Neural Process. Lett., 2020)

An optimized time series combined forecasting method based on neural networks. - Kaiyi Zhao; Li Li 059; Saihua Cai; Ruizhi Sun (J. Supercomput., 2020)

A Dynamic Group Signature Scheme for Blockchain-Based Traceability Bulletin Board. - Manman Hou; Kaiyi Zhao; Ruizhi Sun; Gang Yuan (BlockSys, 2021)

A Novel Method of Multi-sensor Information Fusion Based on Comprehensive Conflict Measurement. - Kaiyi Zhao; Li Li 059; Zeqiu Chen; Ruizhi Sun; Gang Yuan (ChineseCSCW (1), 2021)

An improved evidence fusion algorithm in multi-sensor systems. - Kaiyi Zhao; Rutai Sun; Li Li 059; Manman Hou; Gang Yuan; Ruizhi Sun (Appl. Intell., 2021)

Robust Adaptive Semi-supervised Classification Method based on Dynamic Graph and Self-paced Learning. - Li Li 059; Kaiyi Zhao; Jiangzhang Gan; Saihua Cai; Tong Liu; Huiyu Mu; Ruizhi Sun (Inf. Process. Manag., 2021)

An optimal evidential data fusion algorithm based on the new divergence measure of basic probability assignment. - Kaiyi Zhao; Rutai Sun; Li Li 059; Manman Hou; Gang Yuan; Ruizhi Sun (Soft Comput., 2021)

A survey: Optimization and applications of evidence fusion algorithm based on Dempster-Shafer theory. - Kaiyi Zhao; Li Li 059; Zeqiu Chen; Ruizhi Sun; Gang Yuan; Jiayao Li (Appl. Soft Comput., 2022)

MWFP-outlier: Maximal weighted frequent-pattern-based approach for detecting outliers from uncertain weighted data streams. - Saihua Cai; Li Li 059; Jinfu Chen 001; Kaiyi Zhao; Gang Yuan; Ruizhi Sun; Rexford Nii Ayitey Sosu; Longxia Huang (Inf. Sci., 2022)

A novel evidence combination rule based on compromise conflict indicator and conflict focal element. - Kaiyi Zhao; Zeqiu Chen; Shulin Sun; Ruizhi Sun; Gang Yuan (Knowl. Based Syst., 2022)

Research for an Adaptive Classifier Based on Dynamic Graph Learning. - Li Li 059; Kaiyi Zhao; Ruizhi Sun; Saihua Cai; Yongtao Liu (Neural Process. Lett., 2022)

A New Multi-classifier Ensemble Algorithm Based on D-S Evidence Theory. - Kaiyi Zhao; Li Li 059; Zeqiu Chen; Ruizhi Sun; Gang Yuan; Jiayao Li (Neural Process. Lett., 2022)

DPT: An importance-based decision probability transformation method for uncertain belief in evidence theory. - Kaiyi Zhao; Zeqiu Chen; Li Li 059; Jiayao Li; Ruizhi Sun; Gang Yuan (Expert Syst. Appl., 2023)

Incremental clustering algorithm based on representative points and covariance for large data. - Jiayao Li; Qiannan Wu; N. A. Li; Ruizhi Sun; Huiyu Mu; Kaiyi Zhao (Int. J. Simul. Process. Model., 2023)

An efficient parallelization method of Dempster-Shafer evidence theory based on CUDA. - Kaiyi Zhao; Li Li 059; Zeqiu Chen; Jiayao Li; Ruizhi Sun; Gang Yuan (J. Supercomput., 2023)

Multi-modal data novelty detection with adversarial autoencoders. - Zeqiu Chen; Kaiyi Zhao; Ruizhi Sun (Appl. Soft Comput., 2024)

DMVSVDD: Multi-View Data Novelty Detection with Deep Autoencoding Support Vector Data Description. - Zeqiu Chen; Kaiyi Zhao; Shulin Sun; Jiayao Li; Shufan Wang; Ruizhi Sun (Expert Syst. Appl., 2024)

A generalized weighted evidence fusion algorithm based on quantum modeling. - Kaiyi Zhao; Pinle Qin; Saihua Cai; Ruizhi Sun; Zeqiu Chen; Jiayao Li (Inf. Sci., 2024)

Multi-modal data novelty detection with modal diversity-unity-complementarity representation. - Zeqiu Chen; Kaiyi Zhao; Gang Yuan; Qingling Duan; Ruizhi Sun (Adv. Eng. Informatics, 2025)