1. 三维点云智能采样编码技术研究，山东省自然科学青年基金，2024.01-2026.12, 主持。
2. 三维点云高效编码理论与关键技术研究，国家自然科学基金面上项目，2022.01-2025.12，参与。
3. 面向沉浸式3D远程呈现的动态3D点云高效压缩与自适应传输，国家自然科学基金面上项目，2019.01-2022.12，参与。

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[2] Liu Hao, Yuan Hui, Hou Junhui, et al. PUFA-GAN: a frequency-aware generative adversarial network for 3d point cloud upsampling [J]. IEEE Transactions on Image Processing, 2022, 31: 7389-7402.

[3] Liu Hao, Yuan Hui, Liu Qi, et al. A Hybrid Compression Framework for Color Attributes of Static 3D Point Clouds [J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(3): 1564 –1577.

[4] Liu Hao, Yuan Hui, Liu Qi, et al. A Comprehensive Study and Comparison of Core Technologies for MPEG 3-D Point Cloud Compression [J]. IEEE Transactions on Broadcasting, 2020, 66(3): 701-717.

[5] Liu Hao. Yuan Hui, Hamzaoui Raouf, et. al. PU-Refiner: A Geometry Refiner with Adversarial Learning for Point Cloud Upsampling [C]. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022.

[6] 刘昊，元辉，高伟，陈晨. 基于采样的点云几何编码框架[J].华南理工大学学报(自然科学版), 2023. DOI: 10.12141/j.issn.1000-565X.230188.

[7] Liu Qi, Yuan Hui, Su Honglei, Liu Hao, Yu Wang, Huan Yang and Junhui Hou. PQA-Net: deep no reference point cloud quality assessment via multi-view projection [J]. IEEE Transactions on Circuits and Systems for Video Technology, vol. 31, no. 12, pp. 4645-4660, Dec. 2021.