Estimation of Reference Voltages for Time-Difference Electrical Impedance Tomography. - Hao Yu 029; Xingchen Wan; Zhongxu Dong; Zhixi Zhang; Jiabin Jia (IEEE Trans. Instrum. Meas., 2022)

Multiscale Voltage Reconstruction With Attention-Based Network for Volume Fraction Prediction of Industrial Oil-Water Two-Phase Flow by EIT. - Hao Yu 029; Zhixi Zhang; Yang Gao; Jiabin Jia (IEEE Trans. Instrum. Meas., 2022)

Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning. - Wenquan Dong; Edward T. A. Mitchard; Hao Yu 029; Steven Hancock; Casey M. Ryan (CoRR, 2023)

Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data. - Man Chen; Wenquan Dong; Hao Yu 029; Iain H. Woodhouse; Casey M. Ryan; Haoyu Liu; Selena Georgiou; Edward T. A. Mitchard (CoRR, 2023)

Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis. - Jieyu Yao; Hao Yu 029; Paul Judge; Jiabin Jia; Sasa Z. Djokic; Verner Püvi; Matti Lehtonen; Jan Meyer (CoRR, 2023)

Dual-User Virtual Mouse System Using Acoustic-Based Hand Tracking. - Wei Han; Yinghao Li; Hao Yu 029; Jiabin Jia (I2MTC, 2024)

UFLUX v2.0: A Process-Informed Machine Learning Framework for Efficient and Explainable Modelling of Terrestrial Carbon Uptake. - Wenquan Dong; Songyan Zhu; Jian Xu 008; Casey M. Ryan; Man Chen; Jingya Zeng; Hao Yu 029; Congfeng Cao; Jiancheng Shi 001 (CoRR, 2024)

V-Pen: An Acoustic-Based Fine-Grained Virtual Pen Input System Using Hand Tracking. - Wei Han; Yinghao Li; Hao Yu 029; Jiabin Jia (IEEE Trans. Instrum. Meas., 2024)

High-resolution conductivity reconstruction by electrical impedance tomography using structure-aware hybrid-fusion learning. - Hao Yu 029; Haoyu Liu; Zhe Liu 013; Zeyu Wang; Jiabin Jia (Comput. Methods Programs Biomed., 2024)

Multimodal deep learning enables forest height mapping from patchy spaceborne LiDAR using SAR and passive optical satellite data. - Man Chen; Wenquan Dong; Hao Yu 029; Iain H. Woodhouse; Casey M. Ryan; Haoyu Liu; Selena Georgiou; Edward T. A. Mitchard (Int. J. Appl. Earth Obs. Geoinformation, 2025)

UFLUX v2.0: A Process-Informed Machine Learning Framework for Efficient and Explainable Modeling of Terrestrial Carbon Uptake. - Wenquan Dong; Songyan Zhu; Jian Xu 008; Casey M. Ryan; Man Chen; Jingya Zeng; Hao Yu 029; Congfeng Cao; Jiancheng Shi 001 (IEEE Geosci. Remote. Sens. Lett., 2025)

Integrating Kolmogorov-Arnold Network and UNet Architecture for Reconstruction of 3-D Electrical Impedance Tomography to Assess the Efficacy of Tumor Treating Fields. - Yueyue Xiao; Liang Wang; Chunxiao Chen; Songpei Hu; Ming Lu; Hao Yu 029; Jagath C. Rajapakse (IEEE Trans. Instrum. Meas., 2025)

Long-Horizon FCS-MPC Trained 1-D Convolution Neural Networks for FPGA-Based Power-Electronic Converter Control With a Si/SiC Hybrid Converter Case Study. - Ning Li; Hao Yu 029; Stephen Finney; Paul D. Judge (IEEE Trans. Ind. Electron., 2025)