| Issue Date | Title | Author(s) |
| 2019 | 3D point cloud attribute compression using geometry-guided sparse representation | Gu, Shuai; Hou, Junhui; Zeng, Huanqiang; Yuan, Hui; Ma, Kai-Kuang |
| 2018 | Accurate light field depth estimation with superpixel regularization over partially occluded regions | Chen, Jie; Hou, Junhui; Ni, Yun; Chau, Lap-Pui |
| 2022 | Attention-guided progressive neural texture fusion for high dynamic range image restoration | Chen, Jie; Yang, Zaifeng; Chan, Tsz Nam; Li, Hui; Hou, Junhui; Chau, Lap-Pui |
| 2020 | Convolutional neural networks with dynamic regularization | Wang, Yi; Bian, Zhen-Peng; Hou, Junhui; Chau, Lap-Pui |
| 2012 | Dynamic 3-D facial compression using low rank and sparse decomposition | Chau, Lap-Pui; Hou, Junhui; He, Ying; Quynh, Dao Thi Phuong; Magnenat-Thalmann, Nadia |
 | 2018 | A gabor feature-based quality assessment model for the screen content images | Ni, Zhangkai; Zeng, Huanqiang; Ma, Lin; Hou, Junhui; Chen, Jing; Ma, Kai-Kuang |
 | 2015 | Human Motion Capture Data Tailored Transform Coding | Hou, Junhui; Chau, Lap-Pui; Magnenat-Thalmann, Nadia; He, Ying |
| 2018 | ImmerTai : immersive motion learning in VR environments | Chen, Xiaoming; Chen, Zhibo; Li, Ye; He, Tianyu; Hou, Junhui; Liu, Sen; He, Ying |
| 2017 | Light field compression with disparity-guided sparse coding based on structural key views | Chen, Jie; Hou, Junhui; Chau, Lap-Pui |
| 2018 | Light field denoising via anisotropic parallax analysis in a CNN framework | Chen, Jie; Hou, Junhui; Chau, Lap-Pui |
| 2018 | Light field image compression based on bi-level view compensation with rate-distortion optimization | Hou, Junhui; Chen, Jie; Chau, Lap-Pui |
 | 2016 | Low-latency compression of mocap data using learned spatial decorrelation transform | Hou, Junhui; Chau, Lap-Pui; Magnenat-Thalmann, Nadia; He, Ying |
 | 2016 | Matrix decomposition-based methods for compressing three-dimensional motion data | Hou, Junhui |
 | 2017 | Robust human activity recognition using lesser number of wearable sensors | Wang, Di; Candinegara, Edwin; Hou, Junhui; Tan, Ah-Hwee; Miao, Chunyan |
| 2021 | A self-training approach for point-supervised object detection and counting in crowds | Wang, Yi; Hou, Junhui; Hou, Xinyu; Chau, Lap-Pui |
| 2018 | Simultaneous spatial and spectral low-rank representation of hyperspectral images for classification | Mei, Shaohui; Hou, Junhui; Chen, Jie; Chau, Lap-Pui; Du, Qian |
 | 2017 | Sparse low-rank matrix approximation for data compression | Hou, Junhui; Chau, Lap-Pui; Magnenat-Thalmann, Nadia; He, Ying |