Yuantian Shao

Orcid: 0000-0003-1116-6252

According to our database1, Yuantian Shao authored at least 9 papers between 2023 and 2026.

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Timeline

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Bibliography

2026
Certain Head, Uncertain Tail: Expert-Sample for Test-Time Scaling in Fine-Grained MoE.
CoRR, February, 2026

IntraSlice: Towards High-Performance Structural Pruning with Block-Intra PCA for LLMs.
CoRR, February, 2026

2025
Block Rotation is All You Need for MXFP4 Quantization.
CoRR, November, 2025

Ban&Pick: Ehancing Performance and Efficiency of MoE-LLMs via Smarter Routing.
CoRR, September, 2025

DSSFT: Dual branch spectral-spatial feature fusion transformer network for hyperspectral image unmixing.
Earth Sci. Informatics, April, 2025

DartQuant: Efficient Rotational Distribution Calibration for LLM Quantization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

EAC-MoE: Expert-Selection Aware Compressor for Mixture-of-Experts Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
IVIU-Net: Implicit Variable Iterative Unrolling Network for Hyperspectral Sparse Unmixing.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023


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