Bing Zhu

Orcid: 0000-0003-0610-9317

Affiliations:
  • Sichuan University, School of Business, Chengdu, China (PhD 2011)


According to our database1, Bing Zhu authored at least 19 papers between 2011 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
A bagging-based selective ensemble model for churn prediction on imbalanced data.
Expert Syst. Appl., October, 2023

Counterfactual learning in customer churn prediction under class imbalance.
Proceedings of the 6th International Conference on Big Data Technologies, 2023

2022
A GAN-based hybrid sampling method for imbalanced customer classification.
Inf. Sci., 2022

2021
An Aggregate Store Sales Forecasting Framework based on ConvLSTM.
Proceedings of the ICCDA 2021: The 5th International Conference on Compute and Data Analysis, 2021

A LSTM-cBiGAN based hybrid sampling method for time series customer classification.
Proceedings of the DSIT 2021: 4th International Conference on Data Science and Information Technology, Shanghai, China, July 23, 2021

2020
An Experimental Investigation of Calibration Techniques for Imbalanced Data.
IEEE Access, 2020

Customer classification based on spatial transition probability and Deep Forest.
Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019
IRIC: An R library for binary imbalanced classification.
SoftwareX, 2019

2018
Benchmarking sampling techniques for imbalance learning in churn prediction.
J. Oper. Res. Soc., 2018

2017
A new transferred feature selection algorithm for customer identification.
Neural Comput. Appl., 2017

An empirical comparison of techniques for the class imbalance problem in churn prediction.
Inf. Sci., 2017

Improving Resampling-based Ensemble in Churn Prediction.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

2016
Cluster ensemble framework based on the group method of data handling.
Appl. Soft Comput., 2016

2015
Customer choice prediction based on transfer learning.
J. Oper. Res. Soc., 2015

A consistency-based validation for data clustering.
Intell. Data Anal., 2015

Customers' Risk Type Prediction Based on Analog Complexing.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015

2012
A GMDH-based fuzzy modeling approach for constructing TS model.
Fuzzy Sets Syst., 2012

A robust missing value imputation method for noisy data.
Appl. Intell., 2012

2011
Using Density based Score Fusion for Multimodal Identification Systems under the Missing Data Scenario.
Proceedings of the 2011 Developments in E-systems Engineering, 2011


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