主持：

天津市自然科学基金一般项目：分布式天线系统容量性能分析

国家自然科学基金青年项目：采用大规模分布式基站天线的移动通信系统容量分析与性能优化

国家自然科学基金面上项目：以用户为中心超密集组网下行信道资源分配关键技术的研究

天津市自然科学基金重点项目：颞下颌关节紊乱的智能诊断方法研究及应用

1. 1 C. Chai and Z. Liu, "Brain gray matter nuclei segmentation on quantitative susceptibility mapping using dual-branch convolutional neural network," Artificial Intelligence in Medicine, vol. 2022, 2022.
2. 2 X. Song and Z. Liu, "Joint design of aerial reconfigurable intelligent surface-aided URLLC systems," IEEE Sensors Journal, vol. 2024, 2024.
3. 3 Z. Chen and Z. Liu, "Adaptive pattern-coupled sparse Bayesian learning for channel estimation in OTFS systems," IEEE Signal Processing Letters, vol. 2024, 2024.
4. 4 C. Chai, Z. Liu, and S. Xia, "CAU-Net: A deep learning method for deep gray matter nuclei segmentation," Frontiers in Neuroscience, vol. 2022, 2022.
5. 5 C. Cao, Z. Liu, and S. Xia, "Ability of weakly supervised learning to detect acute ischemic stroke and hemorrhagic infarction lesions with diffusion-weighted imaging," Quantitative Imaging in Medicine and Surgery, vol. 2022, 2022.
6. 6 X. Song and Z. Liu, "Delay minimization in RIS-assisted URLLC systems under reliability constraints," Entropy, vol. 2023, 2023.
7. 7 Z. Liu and X. Li, "Inferior alveolar nerve canal segmentation on CBCT using U-Net with frequency attentions," Bioengineering, vol. 2024, 2024.
8. 8 B. Zhao, Z. Liu, H. Wu, and M. Ding, "Deep learning-based acute ischemic stroke lesion segmentation method on multimodal MR images using a few fully labeled subjects," Computational and Mathematical Methods in Medicine, vol. 2021, 2021.
9. 9 B. Zhao, Z. Liu, and H. Wu, "Combine unlabeled with labeled MR images to measure acute ischemic stroke lesion by stepwise learning," IET Signal Processing, vol. 2022, 2022.
10. 10 B. Zhao and Z. Liu, "Automatic acute ischemic stroke lesion segmentation using semi-supervised learning," International Journal of Computational Intelligence Systems, vol. 2021, 2021.
11. 11 G. Ding and Z. Liu, "面向C-RAN的群稀疏线性预编码," 系统工程与电子技术, vol. 2020, 2020.