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Xiaoquan Chu
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2020 – today
- 2024
- [j7]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: 122717 (2024) - 2023
- [j6]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): 941-962 (2023) - [j5]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): 106458 (2023) - 2022
- [j4]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): 72 (2022) - [j3]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: 116982 (2022) - 2021
- [j2]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): 107924 (2021) - [j1]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): 16113-16137 (2021)
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last updated on 2024-06-03 00:11 CEST by the dblp team
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