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Author

Fangxin Liu

4 papers indexed here

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Open access Aug 2026

GUMPIM: Unitary and Malleable Memory for Processing-in-Memory with Guaranteed PIM Pages

GUMPIM is proposed, a PIM system that allows interleaved CPU pages and non-interleaved PIM pages to coexist in a Unitary and Malleable memory space with Guaranteed PIM page allocation and enables zero-copy during PIM task offloading and maintains CPU memory bandwidth while ensuring low PIM offloading overhead.

Yilong Zhao, Fang-Xin Liu, Yi-Wei Hu et al. · 2 citations
Preprint Aug 2026

CURE: Local Uncertainty Repair for Block-Parallel Speculative Decoding

This work proposes CURE, a budget-aware dynamic repair tree designed to repair errors at uncertainty focal points without incurring prohibitive tree-verification overheads, and provides a plug-and-play repair module compatible with standard parallel drafting frameworks.

Ao-Fan Liu, Jing Meng, Fangxin Liu et al. · 1 citation
#natural language process... Preprint Sep 2026

PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition

PCoMoE is presented, a path-compositional execution framework that shifts MoE inference from coarse-grained expert selection to fine-grained path composition and achieves up to a 1.31x end-to-end inference speedup while enhancing model accuracy by 10%.

Zi-Yan Gan, Fangxin Liu, Chenyang Guan et al. · 0 citations
Open access Aug 2026

GUMPIM: Unitary and Malleable Memory for Processing-in-Memory with Guaranteed PIM Pages

DRAM-based Processing-in-Memory (PIM) addresses the “memory wall” by executing computations directly inside main memory. However, memory interleaving and virtual memory limit contiguous data size visible to PIM units, constraining PIM task granularity. Fine-grained PIM tasks incur significant offloading overhead that n...

Yilong Zhao, Fangxin Liu, Yiwei Hu et al. · 1 citation

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