6 papers
Predicting Future Utility: Global Combinatorial Optimization for Task-Agnostic KV Cache Eviction
Ziyao Tang, Pengkun Jiao, Xinhang Chen +3
Given the quadratic complexity of attention, KV cache eviction is vital to accelerate model inference. Current KV cache eviction methods typically rely on instantaneous heuristic m…
ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs
Yanlin Qi, Xinhang Chen, Huiqiang Jiang +3
KV-cache retrieval is essential for long-context LLM inference, yet existing methods struggle with distribution drift and high latency at scale. We introduce ParisKV, a drift-robus…
A Heterogeneous Long-Micro Scale Cascading Architecture for General Aviation Health Management
Xinhang Chen, Zhihuan Wei, Yang Hu +3
BACKGROUND: General aviation fleet expansion demands intelligent health monitoring under computational constraints. Real-world aircraft health diagnosis requires balancing accuracy…
An Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement
Zhihuan Wei, Yang Hu, Xinhang Chen +3
Fault diagnosis of general aviation aircraft faces challenges including scarce real fault data, diverse fault types, and weak fault signatures. This paper proposes an intelligent f…
LiteInception: A Lightweight and Interpretable Deep Learning Framework for General Aviation Fault Diagnosis
Zhihuan Wei, Xinhang Chen, Danyang Han +4
General aviation fault diagnosis and efficient maintenance are critical to flight safety; however, deploying deep learning models on resource-constrained edge devices poses dual ch…
ESS: An Offload-Centric Latent-Cache Management Architecture for DeepSeek-V3.2-Exp
Xinhang Chen, Chao Zhang, Jiahuan He +9
DeepSeek-V3.2-Exp introduces a sparse attention mechanism that significantly reduces inference latency in long-context scenarios. Although the overall throughput has improved great…