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20242026
most citedCooperative Edge Caching with Large Language Model in Wireless Networks

1 citations · 2 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

SF-AMS: Strategic Forgetting for Structured Memory in LLM Agent

Ning Yang, Siqi Li, Miaoxin Shen +4

Managing long-context dependencies remains a primary bottleneck in LLM agents, as redundant and irrelevant information can degrade multi-step reasoning. Strategic Forgetting for Ag…

cs.AI2026

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…

cs.NI2026★ 1 cited

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…

cs.NI2026

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…

cs.LG2026

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…

cs.CL2026

LinearARD: Linear-Memory Attention Distillation for RoPE Restoration

Ning Yang, Hengyu Zhong, Wentao Wang +4

The extension of context windows in Large Language Models is typically facilitated by scaling positional encodings followed by Continued Pre-Training (CPT). While effective, this p…

cs.LG2026

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…