Kaiyi Zhao

Orcid: 0000-0003-3868-7883

Affiliations:
  • China Agricultural University, Beijing, China


According to our database1, Kaiyi Zhao authored at least 17 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
An efficient parallelization method of Dempster-Shafer evidence theory based on CUDA.
J. Supercomput., March, 2023

Incremental clustering algorithm based on representative points and covariance for large data.
Int. J. Simul. Process. Model., 2023

DPT: An importance-based decision probability transformation method for uncertain belief in evidence theory.
Expert Syst. Appl., 2023

2022
A New Multi-classifier Ensemble Algorithm Based on D-S Evidence Theory.
Neural Process. Lett., 2022

Research for an Adaptive Classifier Based on Dynamic Graph Learning.
Neural Process. Lett., 2022

A novel evidence combination rule based on compromise conflict indicator and conflict focal element.
Knowl. Based Syst., 2022

MWFP-outlier: Maximal weighted frequent-pattern-based approach for detecting outliers from uncertain weighted data streams.
Inf. Sci., 2022

A survey: Optimization and applications of evidence fusion algorithm based on Dempster-Shafer theory.
Appl. Soft Comput., 2022

2021
An optimal evidential data fusion algorithm based on the new divergence measure of basic probability assignment.
Soft Comput., 2021

Robust Adaptive Semi-supervised Classification Method based on Dynamic Graph and Self-paced Learning.
Inf. Process. Manag., 2021

An improved evidence fusion algorithm in multi-sensor systems.
Appl. Intell., 2021

A Novel Method of Multi-sensor Information Fusion Based on Comprehensive Conflict Measurement.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2021

A Dynamic Group Signature Scheme for Blockchain-Based Traceability Bulletin Board.
Proceedings of the Blockchain and Trustworthy Systems - Third International Conference, 2021

2020
An optimized time series combined forecasting method based on neural networks.
J. Supercomput., 2020

Parameter-Free Extreme Learning Machine for Imbalanced Classification.
Neural Process. Lett., 2020

Extreme Learning Machine for Supervised Classification with Self-paced Learning.
Neural Process. Lett., 2020

2019
A review of improved extreme learning machine methods for data stream classification.
Multim. Tools Appl., 2019


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