Feature-level Data Fusion for Energy Consumption Analytics in Additive Manufacturing. - Fu Hu; Ying Liu 004; Jian Qin 002; Xianfang Sun; Paul Witherell (CASE, 2020)

A Hybrid Machine Learning Approach for Energy Consumption Prediction in Additive Manufacturing. - Yixin Li; Fu Hu; Jian Qin 002; Michael Ryan; Ray Wang; Ying Liu 004 (ICPR Workshops (4), 2020)

Exploiting Knowledge Graph for Multi-faceted Conceptual Modelling using GCN. - Yuwei Wan; Zhenyuan Chen; Fu Hu; Ying Liu 004; Michael S. Packianather; Rui Wang (ISM, 2021)

Advances of Digital Twins for Predictive Maintenance. - Yingchao You; Chong Chen 010; Fu Hu; Ying Liu 004; Ze Ji (ISM, 2021)

Analysis of Cooperative Jamming Cancellation With Imperfect Time Synchronization in Physical Layer Security. - Wenbo Guo 001; Changqing Song; Xiangjie Xia; Fu Hu; Hongzhi Zhao; Shihai Shao; Youxi Tang (IEEE Wirel. Commun. Lett., 2021)

A hybrid model compression approach via knowledge distillation for predicting energy consumption in additive manufacturing. - Yixin Li; Fu Hu; Ying Liu 004; Michael Ryan; Ray Wang (Int. J. Prod. Res., 2023)

Task-driven data fusion for additive manufacturing: Framework, approaches, and case studies. - Fu Hu; Ying Liu 004; Yixin Li; Shuai Ma; Jian Qin 002; Jun Song; Xianfang Sun; Qian Tang (J. Ind. Inf. Integr., 2023)