Xiaoquan Chu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Image Composition

Customer Segmentation

Particle Swarm Optimization Algorithm

Radial Basis Function

Top Venues

Expert Syst. Appl.

Eng. Appl. Artif. Intell.

Neural Comput. Appl.

Publications

Haibin Jin, Xiaoquan Chu, Jianfang Qi, Jianying Feng, Weisong Mu
Learning multiple attention transformer super-resolution method for grape disease recognition. Expert Syst. Appl. 241 (2024)
Yue Li, Jianfang Qi, Xiaoquan Chu, Weisong Mu
Customer Segmentation Using K-Means Clustering and the Hybrid Particle Swarm Optimization Algorithm. Comput. J. 66 (4) (2023)
Haibin Jin, Xiaoquan Chu, Jianfang Qi, Xinxin Zhang, Weisong Mu
CWAN: Self-supervised learning for deep grape disease image composition. Eng. Appl. Artif. Intell. 123 (Part C) (2023)
Xiaoquan Chu, Tanlin Sun, Qian Li, Youjun Xu, Zhuqing Zhang, Luhua Lai, Jianfeng Pei
Prediction of liquid-liquid phase separating proteins using machine learning. BMC Bioinform. 23 (1) (2022)
Yue Li, Xiaoyun Jia, Ruili Wang, Jianfang Qi, Haibin Jin, Xiaoquan Chu, Weisong Mu
A new oversampling method and improved radial basis function classifier for customer consumption behavior prediction. Expert Syst. Appl. 199 (2022)
Xiaoquan Chu, Haibin Jin, Yue Li, Jianying Feng, Weisong Mu
CDA-LSTM: an evolutionary convolution-based dual-attention LSTM for univariate time series prediction. Neural Comput. Appl. 33 (23) (2021)
Yue Li, Xiaoquan Chu, Dong Tian, Jianying Feng, Weisong Mu
Customer segmentation using K-means clustering and the adaptive particle swarm optimization algorithm. Appl. Soft Comput. 113 (Part) (2021)