9 citations · 15 across the 6 of their papers we have counts for
7 papers
EdgeMem: LLM-Free Agent Memory Construction and Retrieval via Evidence-Preserving Multi-Anchor Hypergraph
Zeyang Cui, Jiannong Cao, Zhiyuan Wen +3
Agent memory allows LLM agents to use earlier interactions when answering new queries. Existing methods often compress interaction histories into summaries or other LLM-generated r…
SGS: Structured Sparse Gaussian Streaming for Efficient Free-Viewpoint Video Reconstruction on Edge-IoT Devices
Yiwei Li, Jiannong Cao, Weixun Gao +4
Streaming reconstruction of Free-Viewpoint Videos (FVVs) supports immersive Internet of Things (IoT) services, such as telepresence and digital twin visualization. Existing methods…
PolyLink: A Blockchain Based Decentralized Edge AI Platform for LLM Inference
Hongbo Liu, Jiannong Cao, Bo Yang +7
The rapid advancement of large language models (LLMs) in recent years has revolutionized the AI landscape. However, the deployment model and usage of LLM services remain highly cen…
EdgeShard: Efficient LLM Inference via Collaborative Edge Computing
Mingjin Zhang, Jiannong Cao, Xiaoming Shen +1
Large language models (LLMs) have shown great potential in natural language processing and content generation. However, current LLMs heavily rely on cloud computing, leading to pro…
Resource-efficient Parallel Split Learning in Heterogeneous Edge Computing
Mingjin Zhang, Jiannong Cao, Yuvraj Sahni +2
Edge AI has been recently proposed to facilitate the training and deployment of Deep Neural Network (DNN) models in proximity to the sources of data. To enable the training of larg…
Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing
Xiangchun Chen, Jiannong Cao, Zhixuan Liang +2
Collaborative edge computing (CEC) has emerged as a promising paradigm, enabling edge nodes to collaborate and execute microservices from end devices. Microservice offloading, a fu…