| 2026 | ISCAS | Efficient Token Compression for the Understanding and Generation Unified MLLMs. | Junyan Lin, Jinming Liu, Shengyang Zhao, Xin Jin |
| 2026 | ISCAS | Revisiting MLLM Token Technology through the Lens of Classical Visual Coding. | Jinming Liu, Junyan Lin, Yuntao Wei, Kele Shao, Keda Tao, Jianguo Huang, Xudong Yang, Zhibo Chen, Huan Wang, Xin Jin |
| 2025 | ECAI | D-CHO: Task-Oriented Satellite Conditional Handover Decision in NTN Based on Multi-Agent Game. | Lin Sun, Jinming Liu, Fanmeng Hong, Haopeng Chen, Xiupu Lang, Lin Gui |
| 2025 | ISCAS | Multi-Attribute Continual Learning for Blind Image Quality Assessment. | Yunhao Luo, Jinming Liu, Wei Zhou, Xin Jin |
| 2025 | VCIP | Standard Codec is Enough: A Training-Free 4D Gaussian Compression with Dynamic UV Mapping. | Zhicheng Wang, Jinming Liu, Shengyang Zhao, Qiang Hu, Zhibo Chen, Wenjun Zeng, Xin Jin |
| 2025 | VCIP | Quadtree Partitioning-based Visual Token Pruning for MLLMs Considering Information Density. | Yuntao Wei, Jinming Liu, Shengyang Zhao, Zhibo Chen, Wenjun Zeng, Xin Jin |
| 2024 | AAAI | One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception. | Bohan Li, Yasheng Sun, Jingxin Dong, Zheng Zhu, Jinming Liu, Xin Jin, Wenjun Zeng |
| 2024 | ECCV | Closed-Loop Unsupervised Representation Disentanglement with β-VAE Distillation and Diffusion Probabilistic Feedback. | Xin Jin, Bohan Li, Baao Xie, Wenyao Zhang, Jinming Liu, Ziqiang Li, Tao Yang, Wenjun Zeng |
| 2024 | ECCV | Rate-Distortion-Cognition Controllable Versatile Neural Image Compression. | Jinming Liu, Ruoyu Feng, Yunpeng Qi, Qiuyu Chen, Zhibo Chen, Wenjun Zeng, Xin Jin |
| 2024 | VCIP | Tell Codec What Worth Compressing: Semantically Disentangled Image Coding for Machine with LMMs. | Jinming Liu, Yuntao Wei, Junyan Lin, Shengyang Zhao, Heming Sun, Zhibo Chen, Wenjun Zeng, Xin Jin |
| 2023 | CVPR | Learned Image Compression with Mixed Transformer-CNN Architectures. | Jinming Liu, Heming Sun, Jiro Katto |
| 2023 | ICASSP | Multistage Spatial Context Models for Learned Image Compression. | Fangzheng Lin, Heming Sun, Jinming Liu, Jiro Katto |
| 2023 | VCIP | Composable Image Coding for Machine via Task-oriented Internal Adaptor and External Prior. | Jinming Liu, Xin Jin, Ruoyu Feng, Zhibo Chen, Wenjun Zeng |
| 2023 | VCIP | PTS-LIC: Pruning Threshold Searching for Lightweight Learned Image Compression. | Ao Luo, Heming Sun, Jinming Liu, Fangzheng Lin, Jiro Katto |
| 2022 | ICIP | Memory-Efficient Learned Image Compression with Pruned Hyperprior Module. | Ao Luo, Heming Sun, Jinming Liu, Jiro Katto |
| 2022 | ICPR | Improving Multiple Machine Vision Tasks in the Compressed Domain. | Jinming Liu, Heming Sun, Jiro Katto |
| 2022 | PCS | Semantic Segmentation In Learned Compressed Domain. | Jinming Liu, Heming Sun, Jiro Katto |
| 2021 | SMC | Fast and robust template matching based on ring projection and pseudo-Zernike moments for automatic optical inspection. | Jinming Liu, Xianzhong Liu |
| 2021 | VCIP | Learning in Compressed Domain for Faster Machine Vision Tasks. | Jinming Liu, Heming Sun, Jiro Katto |