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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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