1. Junteng Zhang, Tong Chen*, Yuxin Zhao, Yibo Shi, Jing Wang, and Zhan Ma, "SpeedyGS: Content-Aware 3D Gaussian Splatting Compression via Two-Stage Optimization," ACM MM, 2026. (Oral)
2. Kang You, Tong Chen, Dandan Ding, M. Salman Asif, and Zhan Ma*, "BitRIC: Efficient Neural Compression of LiDAR Range Images via Hierarchical Bitplanes," ECCV, 2026.
3. Ruixiang Xue, Tong Chen*, and Zhan Ma, "3D Gaussian Splatting Compression with Object Scalability," ECCV, 2026. Code
4. 陈彤，陆明，石峻奇，丛吾洋，丁丹丹，贾川民，刘家瑛，刘东，宋利，马思伟，杨铀，刘文予，曹汛，马展，“端到端智能图像视频编码的发展回顾与前沿展望”，中国图象图形学报，第31卷第6期，1595-1618页，2026年。论文
5. Hanfei Li, Anle Ke, Jiawen Gu, Chao Zhou, Tong Chen*, and Zhan Ma, "MG-VLQA: Multi-Granularity Quality Assessment for Image Compression via Visual Language Models," DCC, 2026. (Full Paper)
6. Junteng Zhang, Tong Chen, Dandan Ding, and Zhan Ma, "Neural Compression System for Point Cloud Video Streaming," IEEE TIP, Nov, 2025.
7. Junzhe Zhang, Tong Chen#, Dandan Ding, and Zhan Ma, "Revisit Point Cloud Quality Assessment: Current Advances and a Multiscale-Inspired Approach," IEEE TVCG, June 2025. Project
8. Anle Ke, Xu Zhang, Tong Chen*, Ming Lu, Chao Zhou, Jiawen Gu, and Zhan Ma. "Ultra Lowrate Image Compression with Semantic Residual Coding and Compression-Aware Diffusion," ICML, 2025. Project
9. Kang You, Tong Chen*, Dandan Ding, M. Salman Asif, and Zhan Ma. "RENO: Real-time Neural Compression for 3D LiDAR Point Clouds", CVPR, 2025. Project
10. Junqi Shi, Zhujia Chen, Hanfei Li, Qi Zhao, Ming Lu, Tong Chen, and Zhan Ma, "On Quantizing Neural Representation for Variable-Rate Video Coding," ICLR, May, 2025. (Spotlight)
11. Junzhe Zhang, Tong Chen, Kang You, Dandan Ding, and Zhan Ma. "Conditional Lossless Point Cloud Attribute Compression via Spatial Decomposition", TCSVT, 2025.
12. Junteng Zhang, Tong Chen*, Hao Zhu, Dong Wang, Dandan Ding, and Zhan Ma. "Compressing 3D Gaussian Splatting via a Generalizable Neural Coder", VCIP, Tokyo, Japan, Dec, 2024. (oral)
13. Junqi Shi, Mingyi Jiang, Ming Lu, Tong Chen, Xun Cao, and Zhan Ma. "HINER: Neural Representation for Hyperspectral Image", ACM MM, in Melbourne, Australia, Oct. 2024.
14. Ruixiang Xue, Jiaxin Li, Tong Chen*, Dandan Ding, Xun Cao, and Zhan Ma. "NeRI: Implicit Neural Representation of LiDAR Point Cloud Using Range Image Sequence", IEEE ICASSP, 2024. Project
15. Shaohan Sun, Yuzhuo Kong, Tong Chen*, and Zhan Ma, "Variable rate Neural Speech Compression with Multiscale Feature Extraction and Improved Entropy Modeling", DCC, 2024.
16. Junzhe Zhang#, Tong Chen#, Dandan Ding, and Zhan Ma, "G-PCC++: Enhanced Geometry-based Point Cloud Compression", ACM MM, Oct. 2023. Project (oral)
17. Junteng Zhang#, Tong Chen#, Dandan Ding, and Zhan Ma, "YOGA: Yet Another Geometry-based Point Cloud Compressor", ACM MM, Oct. 2023. Project
18. Tong Chen and Zhan Ma. "Towards Robust Neural Image Compression: Adversarial Attack and Model Finetuning", IEEE TCSVT, 2023.
19. Tong Chen, Haojie Liu, Zhan Ma, Qiu Shen, Xun Cao, and Yao Wang. "End-to-End Learnt Image Compression via Non-Local Attention Optimization and Improved Context Modeling", IEEE TIP, 2021. Project
20. Tong Chen and Zhan Ma. "Variable Bitrate Image Compression with Quality Scaling Factors", IEEE ICASSP, 2020.

* Corresponding author. # Equal contribution.