3 papers
cs.LG2026
Max-Window Scale Estimation for Near-Lossless HiF8 W8A8 Quantization-Aware Training
Yingying Cheng, Jinquan Shi, Li Zhou +4
Quantization-aware training (QAT) with low-bit floating-point formats enables efficient LLM deployment, yet introduces subtle failure modes invisible to standard training metrics.…
cs.AI2025
GridCodex: A RAG-Driven AI Framework for Power Grid Code Reasoning and Compliance
Jinquan Shi, Yingying Cheng, Fan Zhang +3
The global shift towards renewable energy presents unprecedented challenges for the electricity industry, making regulatory reasoning and compliance increasingly vital. Grid codes,…
cs.ET2025
Low-power Spike-based Wearable Analytics on RRAM Crossbars
Abhiroop Bhattacharjee, Jinquan Shi, Wei-Chen Chen +2
This work introduces a spike-based wearable analytics system utilizing Spiking Neural Networks (SNNs) deployed on an In-memory Computing engine based on RRAM crossbars, which are k…