Xiaoquan Chu

According to our database, Xiaoquan Chu authored at least 7 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

2023

Customer Segmentation Using K-Means Clustering and the Hybrid Particle Swarm Optimization Algorithm.

Yue Li, Jianfang Qi, Xiaoquan Chu, Weisong Mu

Comput. J., April, 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

Prediction of liquid-liquid phase separating proteins using machine learning.

Xiaoquan Chu, Tanlin Sun, Qian Li, Youjun Xu, Zhuqing Zhang, Luhua Lai, Jianfeng Pei

BMC Bioinform., 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

Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm.

Yue Li, Xiaoquan Chu, Dong Tian, Jianying Feng, Weisong Mu

Appl. Soft Comput., 2021