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ORCIDKaiyi Zhao
Person information
- affiliation: China Agricultural University, Beijing, China
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2020 – today
- 2024
[j18]Zeqiu Chen, Kaiyi Zhao, Ruizhi Sun
:
Multi-modal data novelty detection with adversarial autoencoders. Appl. Soft Comput. 165: 112063 (2024)- [j17]Zeqiu Chen, Kaiyi Zhao, Shulin Sun, Jiayao Li, Shufan Wang, Ruizhi Sun:
DMVSVDD: Multi-View Data Novelty Detection with Deep Autoencoding Support Vector Data Description. Expert Syst. Appl. 240: 122443 (2024) - [j16]Kaiyi Zhao, Pinle Qin, Saihua Cai, Ruizhi Sun, Zeqiu Chen, Jiayao Li:
A generalized weighted evidence fusion algorithm based on quantum modeling. Inf. Sci. 683: 121285 (2024) - 2023
- [j15]Kaiyi Zhao, Zeqiu Chen, Li Li, Jiayao Li, Ruizhi Sun, Gang Yuan:
DPT: An importance-based decision probability transformation method for uncertain belief in evidence theory. Expert Syst. Appl. 213(Part): 119197 (2023) - [j14]Jiayao Li, Qiannan Wu, N. A. Li, Ruizhi Sun, Huiyu Mu, Kaiyi Zhao:
Incremental clustering algorithm based on representative points and covariance for large data. Int. J. Simul. Process. Model. 20(2): 113-124 (2023) - [j13]Kaiyi Zhao, Li Li, Zeqiu Chen, Jiayao Li, Ruizhi Sun, Gang Yuan:
An efficient parallelization method of Dempster-Shafer evidence theory based on CUDA. J. Supercomput. 79(4): 4582-4601 (2023) - 2022
- [j12]Kaiyi Zhao, Li Li, Zeqiu Chen, Ruizhi Sun, Gang Yuan, Jiayao Li:
A survey: Optimization and applications of evidence fusion algorithm based on Dempster-Shafer theory. Appl. Soft Comput. 124: 109075 (2022) - [j11]Saihua Cai, Li Li, Jinfu Chen, Kaiyi Zhao, Gang Yuan, Ruizhi Sun, Rexford Nii Ayitey Sosu, Longxia Huang:
MWFP-outlier: Maximal weighted frequent-pattern-based approach for detecting outliers from uncertain weighted data streams. Inf. Sci. 591: 195-225 (2022) - [j10]Kaiyi Zhao, Zeqiu Chen, Shulin Sun, Ruizhi Sun, Gang Yuan:
A novel evidence combination rule based on compromise conflict indicator and conflict focal element. Knowl. Based Syst. 257: 109898 (2022) - [j9]Li Li, Kaiyi Zhao, Ruizhi Sun, Saihua Cai, Yongtao Liu:
Research for an Adaptive Classifier Based on Dynamic Graph Learning. Neural Process. Lett. 54(4): 2675-2693 (2022) - [j8]Kaiyi Zhao, Li Li, Zeqiu Chen, Ruizhi Sun, Gang Yuan, Jiayao Li:
A New Multi-classifier Ensemble Algorithm Based on D-S Evidence Theory. Neural Process. Lett. 54(6): 5005-5021 (2022) - 2021
- [j7]Kaiyi Zhao, Rutai Sun, Li Li, Manman Hou, Gang Yuan, Ruizhi Sun:
An improved evidence fusion algorithm in multi-sensor systems. Appl. Intell. 51(11): 7614-7624 (2021) - [j6]Li Li, Kaiyi Zhao, Jiangzhang Gan, Saihua Cai, Tong Liu, Huiyu Mu, Ruizhi Sun:
Robust Adaptive Semi-supervised Classification Method based on Dynamic Graph and Self-paced Learning. Inf. Process. Manag. 58(1): 102433 (2021) - [j5]Kaiyi Zhao, Rutai Sun, Li Li, Manman Hou, Gang Yuan, Ruizhi Sun:
An optimal evidential data fusion algorithm based on the new divergence measure of basic probability assignment. Soft Comput. 25(17): 11449-11457 (2021) - [c2]Manman Hou, Kaiyi Zhao, Ruizhi Sun, Gang Yuan:
A Dynamic Group Signature Scheme for Blockchain-Based Traceability Bulletin Board. BlockSys 2021: 499-511 - [c1]Kaiyi Zhao, Li Li, Zeqiu Chen, Ruizhi Sun, Gang Yuan:
A Novel Method of Multi-sensor Information Fusion Based on Comprehensive Conflict Measurement. ChineseCSCW (1) 2021: 399-408 - 2020
- [j4]Li Li, Kaiyi Zhao, Sicong Li, Ruizhi Sun, Saihua Cai:
Extreme Learning Machine for Supervised Classification with Self-paced Learning. Neural Process. Lett. 52(3): 1723-1744 (2020) - [j3]Li Li, Kaiyi Zhao, Ruizhi Sun, Jiangzhang Gan, Gang Yuan, Tong Liu:
Parameter-Free Extreme Learning Machine for Imbalanced Classification. Neural Process. Lett. 52(3): 1927-1944 (2020) - [j2]Kaiyi Zhao, Li Li, Saihua Cai, Ruizhi Sun:
An optimized time series combined forecasting method based on neural networks. J. Supercomput. 76(4): 2986-3012 (2020)
2010 – 2019
- 2019
- [j1]Li Li, Ruizhi Sun, Saihua Cai, Kaiyi Zhao, Qianqian Zhang:
A review of improved extreme learning machine methods for data stream classification. Multim. Tools Appl. 78(23): 33375-33400 (2019)
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