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)

DSE-YOLO: Detail semantics enhancement YOLO for multi-stage strawberry detection. - Yan Wang; Gang Yan; Qinglu Meng; Ting Yao; Jianfeng Han; Bo Zhang (Comput. Electron. Agric., 2022)

Hop-by-hop bandwidth allocation and deployment for SFC with end-to-end delay QoS guarantees. - Yuexin Sun; Xuefen Chi; Baozhu Yu; Shuang Zhao; Shuai Li; Qinglu Meng (Comput. Commun., 2022)

Service Function Chains Deployment for 5G Slice With Bandwidth Coupling. - Shuang Zhao; Xuefen Chi; Baozhu Yu; Fenglei Ji; Qinglu Meng (IEEE Commun. Lett., 2022)

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

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)

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)