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Gengxiang Chen
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2020 – today
- 2024
- [j5]Lu Chen, Yingguang Li, Gengxiang Chen, Xu Liu, Changqing Liu:
Physics-guided high-value data sampling method for predicting milling stability with limited experimental data. J. Intell. Manuf. 35(7): 3219-3234 (2024) - [c2]Gengxiang Chen, Kai Li, Ahmed M. Abdelmoniem, Linlin You:
Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning. WWW (Companion Volume) 2024: 525-528 - [i3]Qinglu Meng, Yingguang Li, Zhiliang Deng, Xu Liu, Gengxiang Chen, Qiutong Wu, Changqing Liu, Xiaozhong Hao:
A general reduced-order neural operator for spatio-temporal predictive learning on complex spatial domains. CoRR abs/2409.05508 (2024) - 2023
- [j4]Xu Liu, Yingguang Li, Lu Chen, Gengxiang Chen, Boya Zhao:
Multiple source partial knowledge transfer for manufacturing system modelling. Robotics Comput. Integr. Manuf. 80: 102468 (2023) - [c1]Gengxiang Chen, Sheng Liu, Xu Yang, Tao Wang, Linlin You, Feng Xia:
FedRSM: Representational-Similarity-Based Secured Model Uploading for Federated Learning. TrustCom 2023: 189-196 - [i2]Gengxiang Chen, Xu Liu, Yingguang Li, Qinglu Meng, Lu Chen:
Laplace neural operator for complex geometries. CoRR abs/2302.08166 (2023) - 2022
- [j3]Xu Liu, Yingguang Li, Gengxiang Chen:
Transfer learning for regression via latent variable represented conditional distribution alignment. Knowl. Based Syst. 240: 108110 (2022) - [j2]Gengxiang Chen, Yingguang Li, Xu Liu:
Transfer Learning Under Conditional Shift Based on Fuzzy Residual. IEEE Trans. Cybern. 52(2): 960-970 (2022) - 2021
- [j1]Xu Liu, Yingguang Li, Qinglu Meng, Gengxiang Chen:
Deep transfer learning for conditional shift in regression. Knowl. Based Syst. 227: 107216 (2021) - [i1]Gengxiang Chen, Yingguang Li, Xu Liu, Qinglu Meng, Jing Zhou, Xiaozhong Hao:
Residual fourier neural operator for thermochemical curing of composites. CoRR abs/2111.10262 (2021)
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