Residual fourier neural operator for thermochemical curing of composites. - Gengxiang Chen; Yingguang Li; Xu Liu 019; Qinglu Meng; Jing Zhou; Xiaozhong Hao (CoRR, 2021)

Deep transfer learning for conditional shift in regression. - Xu Liu 019; Yingguang Li; Qinglu Meng; Gengxiang Chen (Knowl. Based Syst., 2021)

Transfer learning for regression via latent variable represented conditional distribution alignment. - Xu Liu 019; Yingguang Li; Gengxiang Chen (Knowl. Based Syst., 2022)

Transfer Learning Under Conditional Shift Based on Fuzzy Residual. - Gengxiang Chen; Yingguang Li; Xu Liu 019 (IEEE Trans. Cybern., 2022)

FedRSM: Representational-Similarity-Based Secured Model Uploading for Federated Learning. - Gengxiang Chen; Sheng Liu; Xu Yang; Tao Wang; Linlin You; Feng Xia 001 (TrustCom, 2023)

Laplace neural operator for complex geometries. - Gengxiang Chen; Xu Liu 019; Yingguang Li; Qinglu Meng; Lu Chen (CoRR, 2023)

Multiple source partial knowledge transfer for manufacturing system modelling. - Xu Liu 019; Yingguang Li; Lu Chen; Gengxiang Chen; Boya Zhao (Robotics Comput. Integr. Manuf., 2023)

New data-driven predictive modelling methods for data scarcity scenarios in smart manufacturing. (Nouvelle démarche de développement de modèles prédictifs de pilotage par les données en Smart-Manufacturing dans les cas de pénurie de données par l'utilisation de techniques de machine-Learning et l'IA). - Gengxiang Chen (2023)

Exploring Representational Similarity Analysis to Protect Federated Learning from Data Poisoning. - Gengxiang Chen; Kai Li 002; Ahmed M. Abdelmoniem; Linlin You (WWW (Companion Volume), 2024)

A general reduced-order neural operator for spatio-temporal predictive learning on complex spatial domains. - Qinglu Meng; Yingguang Li; Zhiliang Deng; Xu Liu; Gengxiang Chen; Qiutong Wu; Changqing Liu; Xiaozhong Hao (CoRR, 2024)

Physics-guided high-value data sampling method for predicting milling stability with limited experimental data. - Lu Chen; Yingguang Li; Gengxiang Chen; Xu Liu; Changqing Liu (J. Intell. Manuf., 2024)

Spatio-temporal neural operator on complex geometries. - Xiaoyang Fu; Gengxiang Chen; Yingguang Li; Xu Liu; Lu Chen; Qinglu Meng; Changqing Liu; Xiaozhong Hao (Comput. Phys. Commun., 2025)

BV-NORM: A neural operator learning framework for parametric boundary value problems on complex geometric domains in engineering. - Zhiliang Deng; Qinglu Meng; Yingguang Li; Xu Liu 019; Gengxiang Chen; Lu Chen; Changqing Liu; Xiaozhong Hao (Eng. Appl. Artif. Intell., 2025)

FedCon: A Model Consistency-Based Mechanism to Safeguard Federated Learning in Vulnerable and Heterogeneous IoT Environments. - Xiaoyi Li; Xuewei Tao; Gengxiang Chen; Linlin You; Yongzheng Sun (IEEE Internet Things J., 2025)

A Data Poisoning Resistible and Privacy Protection Federated-Learning Mechanism for Ubiquitous IoT. - Gengxiang Chen; Xiaoyi Li; Linlin You; Ahmed M. Abdelmoniem; Yan Zhang 002; Chau Yuen (IEEE Internet Things J., 2025)