9 papers
CompilerKV: Risk-Adaptive KV Compression via Offline Experience Compilation
Ning Yang, Chengzhi Wang, Yibo Liu +2
Prefill-only KV compression freezes a token subset at the end of prefill and decodes from it without further eviction. The retention decision is therefore irreversible, yet existin…
Vision-LLMs for Spatiotemporal Traffic Forecasting
Ning Yang, Hengyu Zhong, Haijun Zhang +1
Accurate spatiotemporal traffic forecasting is a critical prerequisite for proactive resource management in dense urban mobile networks. While large language models have shown prom…
Offline Policy Optimization with Posterior Sampling
Hongqiang Lin, Dongxu Zhang, Yiding Sun +3
A fundamental challenge in model-based offline reinforcement learning (RL) lies in the trade-off between generalization and robustness against exploitation errors in out-of-distrib…
LLM-Driven Large-Scale Spectrum Access
Ning Yang, Jinliang Gao, Haijun Zhang
Efficient spectrum management in massive-scale wireless networks is increasingly challenged by explosive action spaces and the computational intractability of traditional optimizat…
Multi-Turn Reasoning LLMs for Task Offloading in Mobile Edge Computing
Ning Yang, Chuangxin Cheng, Haijun Zhang
Emerging computation-intensive applications impose stringent latency requirements on resource-constrained mobile devices. Mobile Edge Computing (MEC) addresses this challenge throu…
Cooperative Edge Caching with Large Language Model in Wireless Networks
Ning Yang, Wentao Wang, Lingtao Ouyang +1
Cooperative edge caching in overlapping zones couples Base Station (BS) decisions, making content replacement sensitive to spatial topology and temporal reuse. Conventional heurist…