Author

Lei Gong

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#artificial intelligence Preprint Sep 2026

SeqMoE: Toward Full-Load Performance via Predictive and Graph-Compatible MoE Offloading

Mixture-of-Experts (MoE) creates a structural advantage for offloading: only a small fraction of activated experts need to reside in device memory, and if they can be loaded in time for computation, offloading can in principle approach full-load performance, where all model weights reside in device memory. Yet translat...

Zi-Han Wang, Yu-Qi Wang, Lei Gong et al. · 0 citations

Preprint Aug 2026

UnionSparse: An Index-Efficient Sparsity Framework for Low-Bit Sparse LLM Inference on Edge

Edge LLM inference combines sparsity and low-bit quantization to meet device memory, latency, and power limits. Yet quantization shrinks weight payloads without proportionally reducing sparse metadata, so index traffic and nonzero extraction become critical SpMM bottlenecks. We introduce the Payload-to-Metadata Ratio (...

Tianhao Jiang, Hang Gu, Teng Wang et al. · 0 citations