Haibin Jin

According to our database, Haibin Jin authored at least 9 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Learning multiple attention transformer super-resolution method for grape disease recognition.

Haibin Jin, Xiaoquan Chu, Jianfang Qi, Jianying Feng, Weisong Mu

Expert Syst. Appl., 2024

An Improved Genetic-XGBoost Classifier for Customer Consumption Behavior Prediction.

Yue Li, Jianfang Qi, Haibin Jin, Dong Tian, Weisong Mu, Jianying Feng

Comput. J., 2024

2023

A novel stratification clustering algorithm based on a new local density estimation method and an improved local inter-cluster distance measure.

Jianfang Qi, Yue Li, Haibin Jin, Jianying Feng, Dong Tian, Weisong Mu

Int. J. Mach. Learn. Cybern., December, 2023

Local Reversible Transformer for semantic segmentation of grape leaf diseases.

Xinxin Zhang, Fei Li, Haibin Jin, Weisong Mu

Appl. Soft Comput., August, 2023

User value identification based on an improved consumer value segmentation algorithm.

Jianfang Qi, Yue Li, Haibin Jin, Jianying Feng, Weisong Mu

Kybernetes, 2023

CWAN: Self-supervised learning for deep grape disease image composition.

Haibin Jin, Xiaoquan Chu, Jianfang Qi, Xinxin Zhang, Weisong Mu

Eng. Appl. Artif. Intell., 2023

2022

A new oversampling method and improved radial basis function classifier for customer consumption behavior prediction.

Yue Li, Xiaoyun Jia, Ruili Wang, Jianfang Qi, Haibin Jin, Xiaoquan Chu, Weisong Mu

Expert Syst. Appl., 2022

GrapeGAN: Unsupervised image enhancement for improved grape leaf disease recognition.

Haibin Jin, Yue Li, Jianfang Qi, Jianying Feng, Dong Tian, Weisong Mu

Comput. Electron. Agric., 2022

2021

CDA-LSTM: an evolutionary convolution-based dual-attention LSTM for univariate time series prediction.

Xiaoquan Chu, Haibin Jin, Yue Li, Jianying Feng, Weisong Mu

Neural Comput. Appl., 2021