Chenghao Wei

According to our database, Chenghao Wei authored at least 15 papers between 2017 and 2025.

Collaborative distances:

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

2025

A two-stage optimized robust kernel density estimation for Bayesian classification with outliers.

Chenghao Wei, Bo Peng, Chen Li, Yingying Liu, Zhiwei Ye, Zhiqiang Zuo

Int. J. Mach. Learn. Cybern., December, 2025

TAN-FGBMLE: Tree-Augmented Naive Bayes Structure Learning Based on Fast Generative Bootstrap Maximum Likelihood Estimation for Continuous-Variable Classification.

Chenghao Wei, Tianyu Zhang, Chen Li, Pukai Wang, Zhiwei Ye

Entropy, 2025

Causal Discovery and Reasoning for Continuous Variables with an Improved Bayesian Network Constructed by Locality Sensitive Hashing and Kernel Density Estimation.

Chenghao Wei, Chen Li, Yingying Liu, Song Chen, Zhiqiang Zuo, Pukai Wang, Zhiwei Ye

Entropy, 2025

Resolving Memory Challenges in Cluster Computing Systems Via Stratified Asymptotic Sampling for Big Data Classification.

Chenghao Wei, Quan Li, Chen Li, Pukai Wang

Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

2021

A new approximate method for mining frequent itemsets from big data.

Timur Valiullin, Zhexue Huang, Chenghao Wei, Jianfei Yin, Dingming Wu, Iuliia Egorova

Comput. Sci. Inf. Syst., 2021

2020

Distributed and Parallel Ensemble Classification for Big Data Based on Kullback-Leibler Random Sample Partition.

Chenghao Wei, Jiyong Zhang, Timur Valiullin, Weipeng Cao, Qiang Wang, Hao Long

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

A Precise Telecom Customer Tariff Promotion Method Based on Multi-route Radial Basis Kernel Fuzzy C-means Clustering.

Chenghao Wei, Timur Valiullin, Long Hao

Proceedings of the Algorithms and Architectures for Parallel Processing, 2020

2019

Efficient Ridge Solutions for the Incremental Broad Learning System on Added Inputs by Updating the Inverse or the Inverse Cholesky Factor of the Hermitian matrix in the Ridge Inverse.

Hufei Zhu, Chenghao Wei

CoRR, 2019

Efficient Ridge Solution for the Incremental Broad Learning System on Added Nodes by Inverse Cholesky Factorization of a Partitioned Matrix.

Hufei Zhu, Chenghao Wei

CoRR, 2019

Efficient Inverse-Free Algorithms for Extreme Learning Machine Based on the Recursive Matrix Inverse and the Inverse LDL' Factorization.

Hufei Zhu, Chenghao Wei

CoRR, 2019

Reducing the Computational Complexity of Pseudoinverse for the Incremental Broad Learning System on Added Inputs.

Hufei Zhu, Chenghao Wei

CoRR, 2019

2018

I-nice: A new approach for identifying the number of clusters and initial cluster centres.

Md Abdul Masud, Joshua Zhexue Huang, Chenghao Wei, Jikui Wang, Imran Khan, Ming Zhong

Inf. Sci., 2018

Random weight network-based fuzzy nonlinear regression for trapezoidal fuzzy number data.

Yu-Lin He, Chenghao Wei, Hao Long, Rana Aamir Raza Ashfaq, Joshua Zhexue Huang

Appl. Soft Comput., 2018

A Two-Stage Data Processing Algorithm to Generate Random Sample Partitions for Big Data Analysis.

Chenghao Wei, Salman Salloum, Tamer Z. Emara, Xiaoliang Zhang, Joshua Zhexue Huang, Yu-Lin He

Proceedings of the Cloud Computing - CLOUD 2018, 2018

2017

I-Sampling: A New Block-Based Sampling Method for Large-Scale Dataset.

Yu-Lin He, Joshua Zhexue Huang, Hao Long, Qiang Wang, Chenghao Wei

Proceedings of the 2017 IEEE International Congress on Big Data, 2017