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Ming-Zhen Li

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Open access Sep 2026

Bullseye Hash: An Efficient Hash-Table for Sparse Tensor Contraction

Sparse tensor contraction (SpTC) is a critical operation in high-performance applications. However, the high dimensionality and inherent sparsity of tensors make the performance improvement of SpTC a fundamentally challenging problem. In this paper, we propose Bullseye Hash, a novel hash table designed to efficiently s...

Guo-Feng Feng, Ze-Cheng Li, Ming-Zhen Li et al. · 0 citations
Jul 2026

Libra: Taming Attention Workload Skew in Long-Context LLM Training with Bounded Sequence Pool

Long-context LLM training suffers from a load-balancing problem that sequence packing does not solve. Packing samples into fixed-token sequences balances memory and linear-cost operators, but the dominant attention cost scales with the sum of squared sequence lengths. Thus, equally sized packed sequences drawn from a l...

Yan Wang, Xiu-Long Yuan, Kaiming Yang et al. · 1 citation

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