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20242026
most citedSpace-ground Fluid AI for 6G Edge Intelligence

11 citations · 13 across the 14 of their papers we have counts for

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6 papers · 1 filter

cs.DC2026

Space AI Infrastructure: Where the Edge Meets the Orbital Cloud

Zhanwei Wang, Jianhao Huang, Min Sheng +1

The fusion of artificial intelligence (AI) and space technologies is extending spaceborne intelligence beyond onboard payloads toward a global infrastructure, here termed Space AI…

cs.IT2026

SpaceDiffusion: Over-the-Orbit Diffusion for Space Generate-and-Forward Communications

Jianhao Huang, Zhanwei Wang, Khaled B. Letaief +1

Satellite communications are an essential component of sixth-generation (6G) mobile networks, which provide ubiquitous connectivity for global services. However, the satellite upli…

cs.AI2026

Space Generative AI with Solar Energy Harvesting

Jierui Zhang, Jianhao Huang, Zhanwei Wang +1

Satellites are emerging as promising platforms to extend generative \emph{artificial intelligence} (AI) services to remote areas lacking terrestrial infrastructure. However, deploy…

eess.SP2026

AirMoE: Realizing Over-the-Air Distributed Mixture-of-Experts Inference at the Wireless Edge

Huiling Yang, Zhanwei Wang, Kaibin Huang

Mixture-of-experts (MoE) architectures enable efficient large language model (LLM) inference at the wireless edge through sparse activation. The wireless distributed MoE (WIDE) arc…

cs.DC2026

Multi-SPIN: Multi-Access Speculative Inference for Cooperative Token Generation at the Edge

Haotian Zheng, Zhanwei Wang, Mingyao Cui +3

Speculative inference (SPIN) was originally developed as an efficient architecture to accelerate Large Language Models (LLMs). In this work, we propose its distributed deployment t…

cs.DC2026

SpaceMoE: Realizing Distributed Mixture-of-Experts Inference over Space Networks

Zhanwei Wang, Huiling Yang, Min Sheng +2

Leveraging continuous solar energy harvesting at high efficiency, space data centers are envisioned as a promising platform for executing energy-intensive large language models (LL…