Author

Jieyang Chen

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Preprint Aug 2026

BlockMGARD: Accelerating Adaptive Scientific Data Reduction with Region-of-Interest Error Control on GPUs

BlockMGARD is proposed, an adaptive, Region-of-Interest (ROI)-supported GPU lossy compressor, with four contributions: an In-cache Block decomposition leveraging GPU on-chip memory and constant lookup tables to accelerate decomposition; a hybrid hierarchy combining In-cache Block and global decomposition to balance spe...

Yan-Liang Li, Qian Gong, Qing Liu et al. · 0 citations

Preprint Sep 2026

Improving Progressive Compression with Adaptive Interpolation and Coefficient Decomposition

This work presents an adaptive progressive compression framework that improves retrieval efficiency for two common targets, namely error-bound and peak Signal-to-Noise ratios and proposes coefficient decomposition, a novel method that exploits the commonly overlooked spatial correlations among decorrelated data.

Wenbo Li, Xuan Wu, Qian Gong et al. · 0 citations

#machine learning Preprint Sep 2026

CRISP: Cliff-awaRe Input-adaptive Sparse Prefilling with Structural-Mass-Motivated Routing

This work replaces the Jensen-Shannon Divergence routing with C_struct, a structural proxy that measures mass at Vertical-Slash compatible positions and reproduces JSD's routing decisions while eliminating both the pooled matmul and subsequent KL divergence overhead.

H. Nguyen, Chien Van Nguyen, Franck Dernoncourt et al. · 0 citations