2 citations · 2 across the 7 of their papers we have counts for
7 papers
From Cloud to Crowd: Democratizing LLM Service with Decentralized Edge Collaboration for RAG
Jiaxing Li, Hengzhi Wang, Feng Wang +5
The rapid advancement of large language models (LLMs) has increased demand for scalable and cost-effective deployment, especially for mobile and edge devices. Cloud-hosted LLMs are…
Sustainable Intelligence for the Wild: Democratizing Ecological Monitoring via Knowledge-Adaptive Edge Expert Agents
Jiaxing Li, Hao Fang, Chi Xu +5
Rapid biodiversity loss underscore the urgency of effective monitoring, yet manual surveys remain resource-intensive. While on-device AI offers a scalable alternative, its performa…
Self-Supervised Compression and Artifact Correction for Streaming Underwater Imaging Sonar
Rongsheng Qian, Chi Xu, Xiaoqiang Ma +4
Real-time imaging sonar is crucial for underwater monitoring where optical sensing fails, but its use is limited by low uplink bandwidth and severe sonar-specific artifacts (speckl…
Exploring Multimodal Foundation AI and Expert-in-the-Loop for Sustainable Management of Wild Salmon Fisheries in Indigenous Rivers
Chi Xu, Yili Jin, Sami Ma +8
Wild salmon are essential to the ecological, economic, and cultural sustainability of the North Pacific Rim. Yet climate variability, habitat loss, and data limitations in remote e…
SALINA: Towards Sustainable Live Sonar Analytics in Wild Ecosystems
Chi Xu, Rongsheng Qian, Hao Fang +4
Sonar radar captures visual representations of underwater objects and structures using sound wave reflections, making it essential for exploration, mapping, and continuous surveill…
EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update
Jiaxing Li, Chi Xu, Lianchen Jia +3
Large language models (LLMs) have demonstrated impressive capabilities in language tasks, but they require high computing power and rely on static knowledge. To overcome these limi…
SCALM: Towards Semantic Caching for Automated Chat Services with Large Language Models
Jiaxing Li, Chi Xu, Feng Wang +3
Large Language Models (LLMs) have become increasingly popular, transforming a wide range of applications across various domains. However, the real-world effectiveness of their quer…