About

Yinghao Zhang is currently a doctoral candidate under the supervision of Prof. Yue Hu at Harbin Institute of Technology, Harbin, China. His research interests lie in image reconstruction, MR image reconstruction, tensor completion and low rank.

Education

Ph.D candidate, 2022 - now, School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

M.S., 2020 - 2022, School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin, China

B.S., 2016 - 2020, School of Information science and Engineering, Harbin Institute of Technology, Weihai, China

Publications

Most of the pubs has the arXiv version and the open-source code in my GitHub.

1. Zhang, Yinghao, Peng Li, and Yue Hu. “T2LR-Net: An unrolling network learning transformed tensor low-rank prior for dynamic MR image reconstruction.” Computers in Biology and Medicine 170 (2024): 108034.
2. Zhang, Yinghao, et al. “JotlasNet: Joint tensor low-rank and attention-based sparse unrolling network for accelerating dynamic MRI.” Magnetic Resonance Imaging (2025): 110337.
3. Zhang, Yinghao, et al. “Alternating Unrolling Network Of Jointly Low-Rank And Sparse Tensor For Accelerating Dynamic MRI.” 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024.
4. Zhang, Yinghao, et al. “Deep Image-Pass Filter for Accelerating Dynamic MRI.” 2024 IEEE International Symposium on Biomedical Imaging (ISBI). IEEE, 2024.
5. Zhang, Yinghao, and Yue Hu. “Differentiable SVD based on Moore-Penrose Pseudoinverse for Inverse Imaging Problems.” arXiv preprint arXiv:2411.14141 (2024).
6. Zhang, Yinghao, et al. “Deep unrolling shrinkage network for dynamic MR imaging.” 2023 IEEE International Conference on Image Processing (ICIP). IEEE, 2023.
7. Zhang, Yinghao, Peng Li, and Yue Hu. “Dynamic MRI using learned transform-based tensor low-rank network (LT2LR-Net).” 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE, 2023.
8. Zhang, Yinghao, and Yue Hu. “Dynamic Cardiac MRI Reconstruction Using Combined Tensor Nuclear Norm and Casorati Matrix Nuclear Norm Regularizations.” 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI). IEEE, 2022.