Hao Yu

17 papers Journal 16Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Deep dynamic image prior for three-dimensional time-sequence pulmonary electrical impedance tomography.
Eng. Appl. Artif. Intell.
Hao Fang, Hao Yu, Sihao Teng, Tao Zhang, Siyi Yuan, Huaiwu He, Zhe Liu, Yunjie Yang
2026 J jnl
Time-Frequency Domain Lightweight Dual-Branch MSCFormer for PMSM ITSC Fault Diagnosis.
IEEE Trans. Ind. Electron.
Hao Yu, Shaobin Li, Yongxiang Xu, Zihao Zhang, Haoyi Mu, Wei Han
2025 J jnl
D2IP: Deep Dynamic Image Prior for 3D Time-sequence Pulmonary Impedance Imaging.
CoRR
Hao Fang, Hao Yu, Sihao Teng, Tao Zhang, Siyi Yuan, Huaiwu He, Zhe Liu, Yunjie Yang
2025 J jnl
Integrating Kolmogorov-Arnold Network and UNet Architecture for Reconstruction of 3-D Electrical Impedance Tomography to Assess the Efficacy of Tumor Treating Fields.
IEEE Trans. Instrum. Meas.
Yueyue Xiao, Liang Wang, Chunxiao Chen, Songpei Hu, Ming Lu, Hao Yu, Jagath C. Rajapakse
2025 J jnl
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.
IEEE Trans. Ind. Electron.
Ning Li, Hao Yu, Stephen Finney, Paul D. Judge
2025 J jnl
Multimodal deep learning enables forest height mapping from patchy spaceborne LiDAR using SAR and passive optical satellite data.
Int. J. Appl. Earth Obs. Geoinformation
Man Chen, Wenquan Dong, Hao Yu, Iain H. Woodhouse, Casey M. Ryan, Haoyu Liu, Selena Georgiou, Edward T. A. Mitchard
2025 J jnl
QuantEIT: Ultra-Lightweight Quantum-Assisted Inference for Chest Electrical Impedance Tomography.
CoRR
Hao Fang, Sihao Teng, Hao Yu, Siyi Yuan, Huaiwu He, Zhe Liu, Yunjie Yang
2025 J jnl
UFLUX v2.0: A Process-Informed Machine Learning Framework for Efficient and Explainable Modeling of Terrestrial Carbon Uptake.
IEEE Geosci. Remote. Sens. Lett.
Wenquan Dong, Songyan Zhu, Jian Xu, Casey M. Ryan, Man Chen, Jingya Zeng, Hao Yu, Congfeng Cao, Jiancheng Shi
2024 — conf
Dual-User Virtual Mouse System Using Acoustic-Based Hand Tracking.
I2MTC
Wei Han, Yinghao Li, Hao Yu, Jiabin Jia
2024 J jnl
High-resolution conductivity reconstruction by electrical impedance tomography using structure-aware hybrid-fusion learning.
Comput. Methods Programs Biomed.
Hao Yu, Haoyu Liu, Zhe Liu, Zeyu Wang, Jiabin Jia
2024 J jnl
UFLUX v2.0: A Process-Informed Machine Learning Framework for Efficient and Explainable Modelling of Terrestrial Carbon Uptake.
CoRR
Wenquan Dong, Songyan Zhu, Jian Xu, Casey M. Ryan, Man Chen, Jingya Zeng, Hao Yu, Congfeng Cao, Jiancheng Shi
2024 J jnl
V-Pen: An Acoustic-Based Fine-Grained Virtual Pen Input System Using Hand Tracking.
IEEE Trans. Instrum. Meas.
Wei Han, Yinghao Li, Hao Yu, Jiabin Jia
2023 J jnl
Data-Driven Modelling for Harmonic Current Emission in Low-Voltage Grid Using MCReSANet with Interpretability Analysis.
CoRR
Jieyu Yao, Hao Yu, Paul Judge, Jiabin Jia, Sasa Z. Djokic, Verner Püvi, Matti Lehtonen, Jan Meyer
2023 J jnl
Forest aboveground biomass estimation using GEDI and earth observation data through attention-based deep learning.
CoRR
Wenquan Dong, Edward T. A. Mitchard, Hao Yu, Steven Hancock, Casey M. Ryan
2023 J jnl
Multimodal deep learning for mapping forest dominant height by fusing GEDI with earth observation data.
CoRR
Man Chen, Wenquan Dong, Hao Yu, Iain H. Woodhouse, Casey M. Ryan, Haoyu Liu, Selena Georgiou, Edward T. A. Mitchard
2022 J jnl
Estimation of Reference Voltages for Time-Difference Electrical Impedance Tomography.
IEEE Trans. Instrum. Meas.
Hao Yu, Xingchen Wan, Zhongxu Dong, Zhixi Zhang, Jiabin Jia
2022 J jnl
Multiscale Voltage Reconstruction With Attention-Based Network for Volume Fraction Prediction of Industrial Oil-Water Two-Phase Flow by EIT.
IEEE Trans. Instrum. Meas.
Hao Yu, Zhixi Zhang, Yang Gao, Jiabin Jia