Yuantian Shao

11 papers A* 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Certain Head, Uncertain Tail: Expert-Sample for Test-Time Scaling in Fine-Grained MoE.
CoRR
Yuanteng Chen, Peisong Wang, Nanxin Zeng, Yuantian Shao, Gang Li, Jing Liu, Jian Cheng
2026 J jnl
IntraSlice: Towards High-Performance Structural Pruning with Block-Intra PCA for LLMs.
CoRR
Meng Li, Peisong Wang, Yuantian Shao, Qinghao Hu, Hongjian Fang, Yifan Zhang, Zhihui Wei, Jian Cheng
2025 J jnl
Ban&Pick: Ehancing Performance and Efficiency of MoE-LLMs via Smarter Routing.
CoRR
Yuanteng Chen, Peisong Wang, Yuantian Shao, Nanxin Zeng, Chang Xu, Jian Cheng
2025 J jnl
Block Rotation is All You Need for MXFP4 Quantization.
CoRR
Yuantian Shao, Peisong Wang, Yuanteng Chen, Chang Xu, Zhihui Wei, Jian Cheng
2025 J jnl
DSSFT: Dual branch spectral-spatial feature fusion transformer network for hyperspectral image unmixing.
Earth Sci. Informatics
Fazal Hadi, Ghulam Farooque, Yuantian Shao, Jingxiang Yang, Liang Xiao
2025 J jnl
DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization.
CoRR
Yuantian Shao, Yuanteng Chen, Peisong Wang, Jianlin Yu, Jing Lin, Yiwu Yao, Zhihui Wei, Jian Cheng
2025 — conf
EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models.
ACL (1)
Yuanteng Chen, Yuantian Shao, Peisong Wang, Jian Cheng
2025 J jnl
EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models.
CoRR
Yuanteng Chen, Yuantian Shao, Peisong Wang, Jian Cheng
2024 A* conf
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling.
CVPR
Wentao Qu, Yuantian Shao, Lingwu Meng, Xiaoshui Huang, Liang Xiao
2023 J jnl
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling.
CoRR
Wentao Qu, Yuantian Shao, Lingwu Meng, Xiaoshui Huang, Liang Xiao
2023 J jnl
IVIU-Net: Implicit Variable Iterative Unrolling Network for Hyperspectral Sparse Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yuantian Shao, Qichao Liu, Liang Xiao