The research work includes 3D point cloud coding, gaussian splatting compression and rendering, image/video coding, multimodal coding, quality assessment and enhancement, and the related standardization efforts. We mainly focus on devising advanced deep learning solutions for coding optimization, and various methods to obtain better rate-distortion performance with flexibility and scalability. We have also conducted research works including light-weight algorithms and models, hardware acceleration and implementations, and open source projects. We have recently published high quality papers on IEEE TPAMI, IEEE TIP, IEEE TCSVT, IEEE TMM, IEEE TNNLS, IEEE TGRS, IJCV, CVPR, ICCV, ECCV, ACM MM, AAAI, DCC, etc., and participated into the standardization work of MPEG, AVS, and IEEE. We have also established several open source projects for multimedia computing and AI, including OpenAICoding, OpenPointCloud, OpenDatasets, etc. The monographs titled “AI-based 3D Point Cloud Coding: Methods, Standards, and Applications”, “AI-based Image and Video Coding: Methods, Standards, and Applications”, “Point Cloud Compression: Technologies and Standardization” have been published by Springer Nature in 2026, 2025, and 2024, respectively.
The research work also includes 3D reconstruction and generation, 3D perception and understanding, generative AI and world models, vision-language-action (VLA) models, 3D vision and multimodal learning for spatial intelligence and embodied Intelligence. We have recently published high quality papers on IEEE TPAMI, IEEE TIP, IEEE TCSVT, IEEE TMM, IEEE TNNLS, NeurIPS, ICLR, CVPR, ICCV, ECCV, ACM MM, AAAI, ICRA, etc. The monograph titled “Deep Learning for 3D Point Clouds” has been published by Springer Nature in 2025.
The research team aims to promote the developments of emerging technologies for the benefits of both human and machine perception. The key application fields include immersive interactive media communication (VR/AR/MR) and autonomous intelligent unmanned systems (autonomous driving/robotics). The research team has extensive research collaborations with the industry to promote the applications of related technologies.