Hao Yu

According to our database, Hao Yu authored at least 13 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Stephen Finney, Paul D. Judge

IEEE Trans. Ind. Electron., September, 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, Jagath C. Rajapakse

IEEE Trans. Instrum. Meas., 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, Casey M. Ryan, Man Chen, Jingya Zeng, Hao Yu, Congfeng Cao, Jiancheng Shi

IEEE Geosci. Remote. Sens. Lett., 2025

Multimodal deep learning enables forest height mapping from patchy spaceborne LiDAR using SAR and passive optical satellite data.

Man Chen, Wenquan Dong, Hao Yu, Iain H. Woodhouse, Casey M. Ryan, Haoyu Liu, Selena Georgiou, Edward T. A. Mitchard

Int. J. Appl. Earth Obs. Geoinformation, 2025

2024

High-resolution conductivity reconstruction by electrical impedance tomography using structure-aware hybrid-fusion learning.

Hao Yu, Haoyu Liu, Zhe Liu, Zeyu Wang, Jiabin Jia

Comput. Methods Programs Biomed., January, 2024

V-Pen: An Acoustic-Based Fine-Grained Virtual Pen Input System Using Hand Tracking.

Wei Han, Yinghao Li, Hao Yu, Jiabin Jia

IEEE Trans. Instrum. Meas., 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, Casey M. Ryan, Man Chen, Jingya Zeng, Hao Yu, Congfeng Cao, Jiancheng Shi

CoRR, 2024

Dual-User Virtual Mouse System Using Acoustic-Based Hand Tracking.

Wei Han, Yinghao Li, Hao Yu, Jiabin Jia

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2024

2023

Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis.

Jieyu Yao, Hao Yu, Paul Judge, Jiabin Jia, Sasa Z. Djokic, Verner Püvi, Matti Lehtonen, Jan Meyer

CoRR, 2023

Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data.

Man Chen, Wenquan Dong, Hao Yu, Iain H. Woodhouse, Casey M. Ryan, Haoyu Liu, Selena Georgiou, Edward T. A. Mitchard

CoRR, 2023

Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning.

Wenquan Dong, Edward T. A. Mitchard, Hao Yu, Steven Hancock, Casey M. Ryan

CoRR, 2023

2022

Multiscale Voltage Reconstruction With Attention-Based Network for Volume Fraction Prediction of Industrial Oil-Water Two-Phase Flow by EIT.

Hao Yu, Zhixi Zhang, Yang Gao, Jiabin Jia

IEEE Trans. Instrum. Meas., 2022

Estimation of Reference Voltages for Time-Difference Electrical Impedance Tomography.

Hao Yu, Xingchen Wan, Zhongxu Dong, Zhixi Zhang, Jiabin Jia

IEEE Trans. Instrum. Meas., 2022