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Shaogang Hu

2 papers indexed

arxivcs.AIcs.LG2026-07-03

MiniCache: Reusable Program Caching with Small Model Interfaces for Efficient LLM Inference

Jingquan Chen, Jinghua Piao, Jie Feng, Shaogang Hu, Yong Li

Large language models (LLMs) are increasingly used for program-aided reasoning, agentic decision making, and structured task execution, but these applications often incur high inference cost. We present MiniCache, a reusable program caching framework that transforms Program-of-Th…

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arxivcs.CV2026-06-30

Intrinsically Stable Spiking Neural Networks: Overcoming the Performance Barrier in the Absence of Batch Normalization

Ruichen Ma, Xiaoyang Zhang, Jian Bai, Guanchao Qiao, Liwei Meng, Ning Ning, et al.

The performance of deep spiking neural networks (SNNs) often relies on batch normalization (BN). However, the advanced dynamic BN variants used in state-of-the-art models introduce runtime multiplications, which weaken the hardware-efficiency motivation of SNNs. To address this t…

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