most citedFM-LLM: A frequency-enhanced mixture-of-experts framework for adapting LLMs to time series forecasting

1 citations

5 papers

cs.NI2026

Digital Tides: A Fluid-Dynamic Framework for Flux-Aware Infrastructure Provisioning in UAV Logistics Networks

Wen-Yu Dong, Song Zhao, Rui-Si Han +2

The emergence of high-frequency pulsating logistics unmanned aerial vehicle (UAV) swarms gives rise to ``Digital Tides'', i.e., complex traffic dynamics that challenge sustainable…

cs.NI2026

Vorticity Dissipation Based Routing: A Fluid-Kinetic Framework for Loop-Free Transport in Ultra-Dense Networks

Wen-Yu Dong, Weiwei Jiang, Song Zhao +3

Discrete routing protocols in ultra-dense wireless networks are constrained by signaling overhead and transient routing loops that degrade radio-resource efficiency. While continuu…

cs.LG20261 cited

FM-LLM: A frequency-enhanced mixture-of-experts framework for adapting LLMs to time series forecasting

Rentao Gu, Yihang Ding, Junjie Li +5

Recent advances in Large Language Models (LLMs) have spurred cross-modal solutions for time-series forecasting. However, existing methods rely heavily on textual prompts for modali…

cs.CV2026

Instruction-based Image Editing: A Survey on Data, Models, Evaluation, and Applications

Xianghao Zang, Zijian Jiang, Jiarong Cheng +8

Instruction-based Image Editing (IIE) aims to transform a given image into a new one based on textual instructions. Advances in Large Language Models (LLMs) and Vision-Language Mod…

eess.SP2026

Point-Cloud-Assistant Localized Statistical Channel Prediction by Tangent Gaussian Splatting

Ye Xue, Yiheng Wang, Xinhua Shao +3

Accurate, site-specific channel information is crucial for optimizing next-generation wireless networks. Among various approaches, localized statistical channel modeling (LSCM), wh…