| 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 | 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 | DAC | PPGNN: Fast and Accurate Privacy-Preserving Graph Neural Network Inference via Parallel and Pipelined Arithmetic-and-Logic FHE Accelerator. | Yuntao Wei, Xueyan Wang, Song Bian, Yicheng Huang, Weisheng Zhao, Yier Jin |
| 2024 | ICPR | Visual Prompt with Larger Model for Multi-modal Tracking. | Simiao Lai, Yuntao Wei, Dong Wang, Huchuan Lu |
| 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 | ICANN | A Partitioned Detection Architecture for Oriented Objects. | Shuyang Zhang, Yuntao Wei |
| 2023 | ICCAD | THE-V: Verifiable Privacy-Preserving Neural Network via Trusted Homomorphic Execution. | Yuntao Wei, Xueyan Wang, Song Bian, Weisheng Zhao, Yier Jin |
| 2023 | PRICAI | CANAMRF: An Attention-Based Model for Multimodal Depression Detection. | Yuntao Wei, Yuzhe Zhang, Shuyang Zhang, Hone Zhang |
| 2021 | IJCNN | Finite-Time Synchronization Under Aperiodically Intermittent Control and its Application on Spatially Coupled Reaction-Diffusion Neural Networks. | Xiwei Liu, Yuntao Wei |