Li, Shiyao

8 publications

CVPR 2025 MBQ: Modality-Balanced Quantization for Large Vision-Language Models Shiyao Li, Yingchun Hu, Xuefei Ning, Xihui Liu, Ke Hong, Xiaotao Jia, Xiuhong Li, Yaqi Yan, Pei Ran, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang
ICLRW 2025 MoA: Mixture of Sparse Attention for Automatic Large Language Model Compression Tianyu Fu, Haofeng Huang, Xuefei Ning, Genghan Zhang, Boju Chen, Tianqi Wu, Hongyi Wang, Zixiao Huang, Shiyao Li, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
ICLR 2025 NextBestPath: Efficient 3D Mapping of Unseen Environments Shiyao Li, Antoine Guedon, Clémentin Boittiaux, Shizhe Chen, Vincent Lepetit
ICLR 2025 ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video Generation Tianchen Zhao, Tongcheng Fang, Haofeng Huang, Rui Wan, Widyadewi Soedarmadji, Enshu Liu, Shiyao Li, Zinan Lin, Guohao Dai, Shengen Yan, Huazhong Yang, Xuefei Ning, Yu Wang
NeurIPS 2024 Can LLMs Learn by Teaching for Better Reasoning? a Preliminary Study Xuefei Ning, Zifu Wang, Shiyao Li, Zinan Lin, Peiran Yao, Tianyu Fu, Matthew B. Blaschko, Guohao Dai, Huazhong Yang, Yu Wang
ICML 2024 Evaluating Quantized Large Language Models Shiyao Li, Xuefei Ning, Luning Wang, Tengxuan Liu, Xiangsheng Shi, Shengen Yan, Guohao Dai, Huazhong Yang, Yu Wang
CVPRW 2024 PMAFusion: Projection-Based Multi-Modal Alignment for 3D Semantic Occupancy Prediction Shiyao Li, Wenming Yang, Qingmin Liao
WACV 2024 TCP: Triplet Contrastive-Relationship Preserving for Class-Incremental Learning Shiyao Li, Xuefei Ning, Shanghang Zhang, Lidong Guo, Tianchen Zhao, Huazhong Yang, Yu Wang